Freeing up newsroom time: How Amedia’s AI sandbox will allow reporters to do more

WAN-IFRA
6 Mar 202441:16

Summary

TLDRThe Innovate Local webinar featured Marcus Rasanen, Director of News at Norwegian Local Media Group A-pressen, discussing the launch of their AI Sandbox for journalists. The tool aims to streamline local newsroom tasks and enhance journalistic efficiency without compromising trust and quality. Rasanen highlighted the importance of using AI responsibly and the potential for journalists to guide product development through their use of the sandbox. The webinar also touched on the challenges of integrating AI into journalism and the need for transparency with readers regarding AI involvement in news creation.

Takeaways

  • 🌟 The webinar is part of the 'Innovate Local' program, a global forum for local media professionals to exchange ideas and solutions.
  • 📚 The program is designed for news media companies operating within their own geographical communities, focusing on local journalism's unique opportunities and challenges.
  • 🤖 Marcus Rasanen, Director of News at Norwegian Local Media Group, discussed the launch of an AI sandbox for journalists, aiming to save time in local newsrooms.
  • 🚀 The AI sandbox is a tool that leverages AI to assist journalists in their work, with the goal of enhancing storytelling and local news coverage.
  • 🔐 The sandbox prioritizes trust and responsible use of AI, with guidelines to ensure AI is used ethically and does not compromise journalistic integrity.
  • 💡 Marcus demonstrated the sandbox's capabilities in a live demo, showing how it can help journalists quickly summarize documents and generate article ideas.
  • 📈 The sandbox collects data on journalists' usage patterns to inform future product development and tailor AI tools to better fit the needs of local newsrooms.
  • 🛠️ The AI sandbox is a living tool, constantly evolving with input from journalists and developers to improve its functionality.
  • 📝 There is an emphasis on transparency with readers, suggesting that journalists should disclose when AI tools have been used in creating content.
  • 🌐 The 'Innovate Local' program is accessible on-demand, with webinars and resources available for local media professionals worldwide.

Q & A

  • What is the purpose of the 'Innovate Local' webinar series?

    -The 'Innovate Local' webinar series is the first global forum for local media, designed to create a space where media professionals can exchange actionable and scalable ideas with a focus on opportunities and problems particular to the business of local journalism.

  • Who are the hosts of the 'Innovate Local' webinar?

    -Cecilia Campbell H, the program editor, and Nicholas Yason H, the program director, are the hosts of the 'Innovate Local' webinar.

  • How often do the 'Innovate Local' webinars take place?

    -The 'Innovate Local' webinars take place twice a month, every other Wednesday at 3:00 European time.

  • What type of topics are covered in the 'Innovate Local' webinars?

    -The webinars cover a variety of editorial and business topics that are particularly relevant to local media.

  • Who is Marcus Rasanen and what is his role in the webinar?

    -Marcus Rasanen is the Director of News at Norwegian Local Media Group A/S Media, and he represents one of the founding member companies of 'Innovate Local'. He discusses the AI sandbox launched for journalists and what they hope to achieve with it.

  • What is the main goal of the AI sandbox launched by A/S Media?

    -The main goal of the AI sandbox is to help local journalists save time and improve efficiency in their work by utilizing AI tools, while ensuring data security and maintaining the trust of their readers.

  • How does the AI sandbox interface work?

    -The AI sandbox interface allows journalists to interact with AI tools in a controlled environment. It logs their use to gather data for product improvements and offers functionalities like summarizing articles, generating headlines, and converting text to audio.

  • What are some of the guidelines established by A/S Media for using AI in journalism?

    -Some guidelines include not using photorealistic AI-generated images to illustrate articles, not putting sensitive information into third-party services, and being transparent with readers about the use of AI tools in creating content.

  • How does A/S Media plan to use the data collected from the AI sandbox?

    -A/S Media plans to use the data collected from the AI sandbox to understand the usage patterns and business needs of their journalists. This knowledge will guide the development of their AI tools and influence product development within the company.

  • What is the 'Editorial AI Hub' and what is its purpose?

    -The 'Editorial AI Hub' is an initiative by A/S Media that connects newsrooms, journalists, development resources, and the AI team. Its purpose is to explore innovative ways to use AI tools and to guide the development of AI applications within the organization.

  • How can other local media companies benefit from the AI sandbox?

    -Other local media companies can benefit from the AI sandbox by implementing a similar controlled environment for their journalists to use AI tools efficiently and safely. This can lead to increased productivity, cost-efficiency, and the ability to experiment with various AI functionalities.

Outlines

00:00

🌟 Introduction to Innovate Local Webinar

The video script opens with Cecilia Campbell H warmly welcoming participants to the third Innovate Local webinar, highlighting the international presence with attendees from 20-30 countries. Cecilia introduces herself as the program editor and her colleague Nicholas Yason H, the program director. They express excitement about their partnership with WAN-IFRA to deliver the program aimed at local media professionals worldwide. The purpose of Innovate Local is to foster a global forum for exchanging ideas within the local media industry, focusing on unique opportunities and challenges. The program is designed for news media companies operating within their geographical communities and features two case webinars per month. Today's focus is on the AI sandbox launched by Norwegian Local Media Group, with Marcus Rasanen, the director of news, discussing its potential impact on journalists.

05:01

🛠️ Utilizing AI Sandbox for Local Journalism

Marcus Rasanen shares his perspective on the capabilities of AI in local journalism, suggesting that with minimal development work, significant advancements can be achieved using existing tools. He provides a background of his experience and introduces A-Media, a large network of newspapers in Norway with over a thousand journalists and a strong focus on subscription-based revenue. Marcus emphasizes the importance of local newsrooms and the need for AI to support, not replace, the human element of journalism. He also addresses the global challenges faced by the media industry, such as rising costs and inflation, and outlines the AI sandbox's role in helping journalists work more efficiently with fewer resources while maintaining reader trust.

10:02

🤖 Trust and AI in Media: Balancing Act

The script delves into the challenges of trust in the media industry when integrating AI technologies. Marcus discusses the potential for AI to compromise trust if not used responsibly, citing examples of misuse by local newspapers in Norway. He outlines the guidelines established by A-Media to ensure AI is used in an innovative yet trustworthy manner, emphasizing the importance of not using AI to generate misleading images or content. Marcus also highlights the need to protect content from being used to train large language models without control or consent, underscoring the importance of maintaining trust and editorial integrity.

15:05

📈 AI Sandbox Interface and Functionality

Marcus demonstrates the AI sandbox interface, explaining its dual purpose of controlling content input and leveraging the collective usage data of journalists to guide product development. The sandbox is designed to be a living tool that evolves based on the needs and feedback of journalists. It currently includes features like summarizing articles, generating headlines, and converting text to audio. Marcus showcases a live demo, using the sandbox to quickly create a news article summary and suggesting potential sources for an interview, highlighting the efficiency gains possible with AI assistance.

20:06

📝 Enhancing Journalism with AI Tools

The script continues with Marcus discussing the potential of AI to enhance journalistic tasks, such as summarizing lengthy documents and generating headlines. He emphasizes the importance of precise prompts to achieve accurate results and mentions the creation of an editorial AI Hub to connect newsrooms with development resources. The Hub aims to foster innovation and guide product development based on journalists' experiences with AI tools. Marcus also outlines the potential future features for the AI sandbox, such as a brainstormer and auto writer, designed to further streamline journalistic work.

25:06

🔒 Ensuring Data Security and Flexibility with AI Sandbox

Marcus highlights the benefits of the AI sandbox in terms of data security, cost-efficiency, and flexibility. He explains that the sandbox allows A-Media to control which AI tools are used and how they are integrated into the journalistic workflow. The sandbox also provides insights into journalists' usage patterns, which can inform product development. Marcus encourages journalists to use the sandbox without fear, while also emphasizing the importance of fact-checking and ethical considerations when using AI-generated content.

30:08

🗣️ Communicating AI Use to Readers

The script addresses the question of transparency with readers regarding the use of AI in journalism. Marcus states that while it is up to each editor to decide how to communicate this, A-Media recommends being explicit about the use of AI tools in articles. This aligns with the company's guidelines, which stress the importance of maintaining trust with readers. Marcus also shares that all editors and journalists have access to the AI sandbox, and while there is no requirement to use it, there is an encouragement to explore its potential.

35:08

📅 Upcoming Innovate Local Webinar

Cecilia Campbell H concludes the webinar by thanking Marcus for his presentation and live demo, and she provides information about the next Innovate Local webinar, which will feature a case from Tamedia in Switzerland. The topic will focus on audience development and how Tamedia has successfully implemented hyper-local newsletters for small communities. The webinar aims to inspire and provide actionable insights for local media professionals, and Cecilia encourages participants to share the information within their organizations.

Mindmap

Keywords

💡Innovate Local

Innovate Local is the name of the program being discussed in the video. It is the first global forum for local media, designed to create a space for media professionals to exchange actionable and scalable ideas. The program focuses on opportunities and problems particular to the business of local journalism. In the script, Innovate Local is mentioned as a platform that brings together local media professionals from across the world, with the aim of fostering innovation and collaboration in the field of local news.

💡AI Sandbox

The AI Sandbox is a new initiative launched by the Norwegian local media group A-Media, as discussed by Marcus Rasanen, the director of news at the company. It is a tool designed to help journalists by utilizing artificial intelligence to streamline their work. In the script, the AI Sandbox is highlighted as a way to free up time in local newsrooms, allowing journalists to focus more on meeting people and telling stories, rather than getting bogged down in routine tasks.

💡Local Media Professionals

Local media professionals are individuals who work in news media companies that operate within their own geographical communities. The video script emphasizes the importance of this group, as they are the target audience for the Innovate Local program. These professionals are looking for ways to improve and innovate in their local newsrooms, and the script discusses how the AI Sandbox can assist them in this endeavor.

💡Actionable Ideas

Actionable ideas refer to suggestions or concepts that can be directly implemented or put into action. In the context of the video, the Innovate Local program aims to facilitate the exchange of such ideas among local media professionals. The script mentions that these ideas should be scalable and focused on the specific opportunities and problems of local journalism, indicating the practical nature of the program's goals.

💡Opportunities and Problems

The terms 'opportunities' and 'problems' are used in the script to describe the dual focus of the Innovate Local program. Opportunities refer to potential areas for growth and advancement in local journalism, while problems denote the challenges that local newsrooms face. The video aims to address both by providing a forum for discussion and the sharing of solutions, as exemplified by the AI Sandbox initiative.

💡Media Industry

The media industry encompasses the various platforms and organizations involved in the production and distribution of news and entertainment content. In the script, the media industry is the broader context in which the Innovate Local program operates. It is mentioned that both Cecilia Campbell H and Nicholas Yason H have worked internationally within the media industry, indicating their experience and expertise in this field.

💡A-Media

A-Media is a Norwegian local media group that consists of more than 120 newspapers across Norway. In the script, A-Media is highlighted as one of the founding member companies of the Innovate Local program. Marcus Rasanen, the director of news at A-Media, discusses the AI Sandbox, which is a significant initiative by the company to leverage AI technology in local newsrooms.

💡Subscription Model

The subscription model is a business approach where customers pay a periodic fee to access content or services. In the context of the video, A-Media's business model is primarily geared towards subscriptions, indicating a shift towards a reader-supported revenue stream. The script mentions the company's efforts in digitalizing their subscriber base, which is a key aspect of adapting to the subscription model.

💡Digitalization

Digitalization refers to the process of converting information into a digital format. In the script, digitalization is discussed in relation to A-Media's efforts to transition their services and subscriber base to digital platforms. This includes the use of AI tools like the AI Sandbox to enhance the efficiency and effectiveness of their digital news operations.

💡Fact-Checking

Fact-checking is the act of verifying the accuracy of information, which is a critical aspect of journalism. In the script, Marcus Rasanen discusses the importance of fact-checking when using AI tools like the AI Sandbox. He mentions that while AI can assist in generating content, it is still essential for journalists to verify the information to maintain trust and credibility.

Highlights

Introduction of the third regular Innovate Local webinar with a global audience.

Cecilia Campbell H and Nicholas Yason H, the program editor and director, respectively, discuss the Innovate Local program's aim to connect local media professionals worldwide.

Innovate Local is the first global forum dedicated to local media, focusing on opportunities and problems unique to local journalism.

The program is designed for anyone working in a news media company operating within a specific geographical community.

Two case webinars are delivered monthly, featuring one publisher case at a time, addressing a defined problem or opportunity.

Webinars are held every other Wednesday at 3:00 European time and cover editorial and business topics relevant to local media.

Marcus Rasanen, Director of News at Norwegian Local Media Group, discusses the new AI Sandbox launched for journalists.

AI Sandbox aims to free up time in local newsrooms and maintain the human element in storytelling.

AI is positioned as an opportunity to support local newsrooms, not replace the personal touch in journalism.

AI Sandbox is designed to help journalists like Oanes extract more value from interactions with local individuals.

Trust is highlighted as a critical component in the global news industry, especially with the introduction of AI.

AI Sandbox includes guidelines to ensure responsible use of AI in journalism.

Live demo of the AI Sandbox interface and its functionalities for journalists.

Examples of using AI Sandbox to summarize articles and generate headlines, showcasing increased efficiency.

AI Sandbox is a living tool that adapts and evolves based on the use cases and needs of journalists.

The AI Sandbox project aims to incorporate AI tools into the workflow of every journalist in a controlled and safe manner.

AI Hub connects newsrooms with development resources and AI teams to innovate and influence product development.

Feedback from journalists is used to guide the development of new features for the AI Sandbox.

The webinar concludes with a Q&A session addressing questions about the AI Sandbox's functionality and future plans.

Transcripts

play00:00

all right let's get this show on the

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road so hello and a very warm welcome to

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our third regular innovate local webinar

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it's fantastic to have people joining us

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from over um 20 30 countries across all

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continents uh and I do hope you'll find

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today's case valuable and inspiring um

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my name is Cecilia Campbell H and I'm

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the innovate local program editor and

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with me I have program director Nicholas

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yason H and the two of us took the idea

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of innovate local to WAN ifra uh and

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we're very happy to be partnering with

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them to deliver the program bringing

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together local media professionals

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across the world um Nicholas and I have

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both worked in the media industry

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internationally uh but we're now back in

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our country of origin which is Sweden

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Nicholas lives in Stockholm I live in

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malma in the South and today we're

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really happy to be joined by Marcus

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rasanen who um is director of news at

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Norwegian local media group or media

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we're extra happy to have Marcus here as

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he represents one of our founding member

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companies so thank you for your support

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Marcus it's much

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appreciated Marcus is going to talk

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about yeah good to see you Marcus is

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going to talk about uh the brand new AI

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sandbox they launched to their thousand

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thousand journalists last week and what

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they're H hoping to achieve with that if

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you have any questions during the

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webinar please put them in the Q&A

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section at the bottom of the zoom

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interface and then we'll have a Q&A uh

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uh session at the end of the

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presentation before I hand over to

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Marcus let me just say a few words about

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this

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program so innovate local is the first

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global forum for local media the idea is

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to create a space where media

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professionals can exchange actionable

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and scalable ideas with a focus on

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opportunities and problems that are

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particular uh to the business of local

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journalism um the program is aimed at

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anyone working in news media company

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which operates in its own geographical

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community so until now there's been no

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International Forum with a focus on the

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particular problems and opportunities of

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local media so uh yes newsrooms and

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markets defer from region to region from

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country to Country so I think that's why

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there's not been anything till now but

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we've see is that the needs of local me

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people and local businesses have more in

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common than not across different

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countries so that's our starting point

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there's no Silver Bullet but there is

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lots of ground baking work being done by

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Folks at local news Publishers all over

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the world so we want to bring you all

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together and this program is for you and

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by you we're delivering two case

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webinars a month presented by one of you

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uh each webinar features one publisher

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case and focuses on how they worked with

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one clearly defined problem or

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opportunity so the webinars take place

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every other Wednesday at 3:00 European

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time uh and they will cover all kinds of

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editorial and business topics which are

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particularly relevant to local media

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some will be more of more interest to

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you than others depending on what your

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role is at your company so the idea is

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that you can tap into this resource when

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it suits you and of course all webinars

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will be available to watch On Demand

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afterwards so we'll publish the webinars

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write up of cases and other resources

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all on the innovate Local website so

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have a look there all right let's get on

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to today's case Marcus welcome to

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innovate locco thank you so much for

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being here today to tell us about how AR

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media is hoping to free up time in the

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local newsrooms by creating an AI

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sandbox as a tool for all your local

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journalists I'll let you explain

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how all right yeah I'll try thank you

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very much for the introduction Cecilia

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I'm very very very happy to be talking

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to all of you so the most nerve-wracking

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moment of any webinar of course is

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sharing your screen no amount of AI

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sandboxing will will help us do

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that uh I think we're good can you

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confirm

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Cecilia I can conf I can confirm yes

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perfect

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yeah so um yeah um I'm really thrilled

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to be part of uh of this webinar series

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because I think it's um it's something

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that the international scene for Journal

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journalism has lacked as cilia so

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eloquently explained um for us um we

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wanted to sort of um put the spotlight

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on the opportunities that AI represent

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and also uh try to make it as relevant

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as possible for even smaller Publishers

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or Standalone newspapers newsrooms uh

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it's my opinion that what we do here uh

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you can probably do 80 to 90% of it uh

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with little to know development work

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just by using available tools today so

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that that is the basis of what I'm going

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to show you I'm going to talk a bit

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about our Challenge and our setup and

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our IDE of soling that and I'm also

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going to do a live demo uh hopefully

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it's going to go as planned but this

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things are uh notoriously unpredictable

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so let's

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see um just a couple of words uh about

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myself and my background I'm the

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director of news at am media uh I worked

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in two local newspapers in Northern

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Norway for 11 years I held almost every

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role imaginable in those uh those titles

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uh and I've also always been interested

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in technology and de

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development uh and actually at one point

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in my life I decided while working in a

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newspaper to found a company that um

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developed and sold publishing systems to

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small newspapers which was ironically

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bought by am media before I started

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working for am media so that was that

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was a fun twist uh since 2023 I've

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worked in our Central organization so

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not in any newsrooms but um but as um as

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part of the central organization

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here so yeah uh first of all it's

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important for me to um most of you are

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probably somewhat familiar with what a

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media are but for those who

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aren't uh we consist of more than 120

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newspapers all over Norway which is

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quite a long country as you might have

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noticed so basically we have more than a

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thousand journalists uh situated all

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around the country uh we are more than

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700,000 subscribers our uh business

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model is primarily uh geared towards

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subscriptions wasn't that way before but

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we've done a huge am amount of work in

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terms of digitalizing our subscriber

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base and also we've got more than 2

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million daily readers so that's that's

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who we are uh if you can see my pointer

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now I'm trying to point out where I

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started my career in local news media in

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a town called

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Buddha I noticed a couple of Swedish

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names in the chat uh so you probably

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heard about the local football team

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there Buddha glimp which I'm quite proud

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of just needed to get that in there okay

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so um our local newspapers and newsrooms

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are our core that's the core of a media

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that will never change so everything we

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do is uh is geared towards solving the

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problems that arise locally that's a

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really important principle for

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us so when we're approaching all these

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questions all these uh possibilities all

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these challenges that artificial techn

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technology and artif artificial

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intelligence presents it's very

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important for us to remember that we

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need to to do it in a way that supports

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uh our local news rooms we're not trying

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to uh the aim for us is not trying to uh

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you know just uh work more effectively

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on a news desk providing even more of

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the same content uh that uh pretty much

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anyone can do generically our goal is to

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support um the meeting between humans

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our presence in our local societies and

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uh and our local identity so that's just

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something I wanted to to state before

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the

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presentation okay so this is a picture I

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I like uh very much it's O yanes to the

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left here he's a journalist in a small

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newspaper that we own in the west of

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Norway that's called

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Fon his uh on this picture his um

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recording a podcast Series where he

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interviews a man to the writer called

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BNA who's dying he's got a cancer

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diagnosis uh B actually died a couple of

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weeks ago and olanes has made a quite

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touching podcast Series where he

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interviews B about his uh perspective

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towards life itself I might say um it's

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it's a really touching touching series

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if any of you speak any Norwegian I

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would recommend it but the point about

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this picture is I think it's uh you know

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it's just uh it's just made his own

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podcast studio uh in a cabin and this is

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basically what a media is and the AI

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technology can never replace this you

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can never replace meeting humans uh and

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getting them to tell their

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stories so that's that's sort of our um

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our objective here it's not to replace

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this it's to expand upon

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this uh as you all know uh we've got the

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global challenge going at the moment in

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terms of uh Rising costs uh inflation

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and in Norway that's quite

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brutal uh most media most Publishers and

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most

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newsrooms uh are going to have to make

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to with less people than they did just a

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year or two ago because of the global

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economy and the

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and the things arising the problems

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arising from that so that's a problem we

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need to solve we need to serve our

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readers and our users with less

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resources than we did before and they

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kind of expect more in return because uh

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they measure us against Global uh

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entertainment providers or other

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providers of um of

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content and obviously this uh this is

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quite the conundrum so the question we

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tried to to answer or start answering

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with our AI sandbox is how can we help

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oanes here to extract even more from

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meeting people like

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P so that's one part of the equation

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we're trying to solve with the AI

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sandbox the other part and perhaps one

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of the biggest challenges when we as a

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media industry face the opportunities

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presented by AI is

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trust because I'm of um the opinion that

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trust is one of the most valuable things

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uh that we have

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in um in um the global news industry and

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obviously this trust as you can see on

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these slides uh might be you can say

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challenged by the opportunities that AI

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provides this is a small newspaper in

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Norway that uh probably have discovered

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mid Journey or gencraft or image

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generator of sorts and uh started

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illustrating their articles uh primarily

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using that

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I would not Advocate that I don't think

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that's um I don't think I don't think

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that's the way to sort

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of um sort of

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uh you know we we need to we need to

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never lose sight of the trust Dimension

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and if you start doing this I think

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there's a danger that uh we just uh more

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of the same kind of content stream

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that's going to pop out uh pop up in um

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more frequent variety that we have seen

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lately because of AI possibilities and

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also you know generating photo realistic

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is images I would not recommend doing

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that but some local newspapers in Norway

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have tried to do that um I'm not really

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sure about the results so this is

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definitely not what we're trying to

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solve with our a

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box uh trust as I mentioned is one of

play12:54

our primary Commodities and to help our

play12:57

newspapers uh exploit AI in an

play13:00

Innovative but responsible way we've

play13:02

established some guidelines uh for them

play13:06

that will help their the editors uh

play13:08

determine how they approach AI basically

play13:11

these are not strict rules every editor

play13:13

must determine their own rules but I

play13:15

think they need some guidance and we

play13:17

tried to provide that for instance we

play13:19

don't recommend using photo realistic AI

play13:22

generated images to illustrate our

play13:24

articles that's just one one example

play13:27

obviously we don't Advocate uh putting

play13:31

sensitive information into third party

play13:33

services and so forth so the trust

play13:37

Dimension is important for us to sort of

play13:40

solve when we're trying to do this and

play13:42

also if you look around yourself in in

play13:45

the world today there's a bigger picture

play13:48

uh as I mentioned we're quite heavily

play13:50

geared towards subscription Revenue uh

play13:53

we want to protect our content uh from

play13:57

uh being used to training

play13:59

big llms large language

play14:01

models uh if our content is going to be

play14:05

used to train llms we want to know how

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it's going to be used and we want to

play14:09

control it so that's uh a principle that

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we try to apply when when making our own

play14:13

AI sandbox and basically we want the

play14:15

freedom to be able to experiment with

play14:17

editorial use of AI in a safe

play14:19

environment which you really can't do if

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you just uh publish or feed unpublished

play14:26

articles into chat gp4

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um so that's another part of the problem

play14:31

we tried to to

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answer um in Amia we have actually

play14:37

explored AI for quite a few years uh

play14:40

since 2018 we we had our own dedicated

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team of AI Specialists that supports all

play14:45

our lines of business um so it's not

play14:49

entirely new ground uh but we have

play14:53

focused our efforts towards other things

play14:55

than um than sort of the products or the

play14:58

improvements that uh that meet the

play15:01

readers and users and our journalists

play15:04

we've we have trained a lot of language

play15:07

models that helps us analyze and

play15:09

understand our editorial content we've

play15:11

done a lot with personalization

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obviously we got a huge amount of data

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since we have so many subscribers which

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we have good and structured data about

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and also we used it for simple tools

play15:22

like converting audio to text and and

play15:25

such um one of the big projects which we

play15:29

want to exploit more the coming years is

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how we can use our AI plat platform and

play15:35

our structured content data um and how

play15:39

that might be able to power up our uh

play15:42

publishing system because obviously if

play15:44

you can integrate uh AI tools directly

play15:48

uh into the workspaces of our

play15:50

journalists then that's very interesting

play15:52

and this sandbox is kind of the first

play15:54

step towards that but not quite I'll

play15:56

show you the difference in the demo

play15:59

okay so that's the background and the

play16:01

reason why we want to do this um I think

play16:06

this is where I try to go live uh with

play16:09

my demo so that's another nerve-wracking

play16:13

moment just a couple of seconds and I'll

play16:15

try

play16:17

to

play16:26

uh uh

play16:29

okay sorry I need to hide a couple of

play16:32

panels here um can you see my screen

play16:38

Cecilia yes I

play16:40

can yeah perfect it's good okay so this

play16:44

is basically the interface of our AI

play16:46

sandbox when uh every one of our more

play16:49

than a thousand journalists uh go into

play16:52

this sandbox they they're met with this

play16:55

interface and sort of the idea here is

play16:57

twofold for one we want to control the

play17:00

content that we put into it we don't

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want it to be used or abused and the

play17:05

second part of it which which is kind of

play17:07

the coolest thing is um we're using what

play17:11

we call our journalistic hive mind in am

play17:14

media as I said we're more than a

play17:16

thousand journalists situated around the

play17:18

whole country of Norway and what we do

play17:21

when when these journalists use this

play17:23

sandbox is we're logging their use and

play17:26

we're getting IDs for product

play17:27

improvements Direct IR ly from the use

play17:30

cases that they prompt into our models

play17:33

so just to give you give you an example

play17:35

if um if a large part of the use is um

play17:40

making U or if um if someone uses this

play17:45

to summarize articles then obviously we

play17:47

can make functionality that does exactly

play17:49

that which we've done here if uh another

play17:53

use case is uh writing better headlines

play17:57

then obviously we can Implement that or

play17:59

develop that capacity and so we want the

play18:02

organic use of our journalists to be our

play18:05

guideline when we develop their

play18:07

workspace basically and I'll show you a

play18:10

couple of things which we've already

play18:11

implemented and this is uh this is a

play18:14

Sandbox that is a living thing I'm

play18:16

pretty sure there are developers right

play18:18

now doing something under the hood there

play18:20

so I'm I'm hoping this uh beta version

play18:24

is is cooperating with me so first I

play18:27

just wanted to give you a C of ideas of

play18:29

how this would this will help our

play18:30

journalists in their their um their work

play18:34

uh for instance a typical task for a

play18:37

local journalist in Norway is keeping

play18:39

track of all the these uh municipality

play18:42

meetings or Council meetings or planning

play18:44

meetings uh I just went and brought a

play18:49

report from my hometown of Buddha here

play18:52

which I found on the web page and I'm

play18:55

going to do this demo in English

play18:57

obviously because language is is not a

play18:59

barrier here so here I've just uploaded

play19:03

the PDF with uh with information about

play19:07

the meeting that's going to be held and

play19:09

obviously you can do simple things like

play19:12

uh prompting that you're a journalist

play19:14

and you want a summarized version of

play19:18

this for instance if you you can't be

play19:21

bothered reading through the

play19:27

documents

play19:31

and obviously the better the prompt as

play19:33

you probably know the more concise the

play19:35

output

play19:42

is so let's see if the sbox corporates

play19:45

here yeah so here I got a couple of

play19:47

buildings the city of Buddha has receiv

play19:49

received an application from nor gra

play19:51

this is which is a travel traveling

play19:53

agency for co-financing of marketing for

play19:56

a direct route between Buddha and

play19:58

Helsinki and I can read that fer has

play20:01

decided to do a direct route between

play20:02

Buddha and Helsinki which is obviously

play20:04

an interesting story for me to write

play20:06

about is local journalist

play20:07

Sima

play20:10

um so I want to uh speed up the work a

play20:22

bit and obviously you need the prompts

play20:25

to be precise which is a large part of

play20:28

implementing the sandbox now um and

play20:30

helping our journalists use this eff

play20:33

efficiently of course we use quite a lot

play20:35

of time uh

play20:41

training

play20:43

so let's see what what we come up with

play20:46

here okay that's that's fine and also I

play20:50

can read a quote from the mayor which is

play20:53

fine which I'm quite sure the AI have

play20:56

invented because budha does have a

play20:57

different different mayor now so just

play21:01

just a a case in point when it comes to

play21:04

fact

play21:05

checking what you're going to do but

play21:08

okay uh

play21:19

could I want the more Tablo headline I

play21:22

don't think that's that will cut

play21:24

it okay I like the last one there

play21:38

and I don't want the quotes from the

play21:46

mayor okay so now basically in my

play21:49

mind uh I've got what I might call a

play21:53

base for an article not a finished

play21:54

article it's not fact checked I not

play21:56

spoken to anyone but with a couple of

play21:59

minutes of work and prompting I

play22:01

basically uh I done a lot of generic and

play22:06

uh frankly quite unnecessary work so

play22:11

using this you can then expand upon this

play22:14

you could for

play22:15

example ask the sandbox which sources

play22:19

you would

play22:26

use

play22:28

and I'm pretty sure you get decent

play22:31

responses what's interesting for those

play22:33

of you who are watching this and think

play22:36

oh this this is cool but I can't do this

play22:38

with my local newspaper well you kind of

play22:41

can I don't think it's it's really that

play22:44

difficult uh basically this uses chat

play22:47

GPT Force engine and we've just built an

play22:50

interface for it uh what I would say is

play22:53

I would not recommend uh feeding uh

play22:56

information unpublished information

play22:58

sensitive information into chat GPT

play23:00

directly I would definitely recommend

play23:02

putting it in a safe environment which

play23:05

would not be a huge body of work to get

play23:08

done but basically by just uh just a

play23:12

couple of easy prompts I've got the base

play23:14

for an article and I got a list of quite

play23:17

good uh sources which I could interview

play23:19

about this so that's just one example uh

play23:22

of how you can use this as a journalist

play23:25

to become a bit more efficient and to to

play23:27

save a bit of time um I wanted to do

play23:31

another example just

play23:33

quickly so yeah uh let's imagine that

play23:36

I'm a journalist still in my hometown of

play23:39

Buddha that's uh that just started work

play23:43

uh

play23:45

and and my editor has told me that

play23:47

you're going to do a follow-up story on

play23:50

this story which um which is about

play23:53

schools that are going to be to be uh uh

play23:58

to be close because of economical

play24:00

reasons basically I don't know anything

play24:02

about the story beforehand I just

play24:05

started working today so what do I do

play24:07

well I can uh save a bit of time by

play24:10

using the AI sandbox to summarize

play24:18

this and as always I try to

play24:22

be as concise as

play24:26

possible

play24:30

okay looks quite good quite easy to get

play24:34

a handle on what this is

play24:38

about

play24:45

you and as you can see uh still I just

play24:48

used basically I've only used the chat

play24:50

function which is to say most of this

play24:54

you can do using just the chat functions

play24:57

from uh large language

play24:58

models uh and as I said it's probably

play25:01

not a big development work just to get

play25:04

that in a safe environment uh we also

play25:06

got some more advanced uh Advanced

play25:10

functionality here we have the ability

play25:13

to uh to to tr to get audio from text

play25:18

here using different voices this is also

play25:21

not technology we've developed ourselves

play25:23

it is a provider that we just uh made

play25:26

available in the user interface but it's

play25:28

in the same controlled environment so

play25:29

that's one option we've got and we

play25:31

obviously got stuff like uh headline

play25:34

proposals and and and really quite basic

play25:39

quite basic functional functionality at

play25:40

the time being but uh if I go back to my

play25:45

presentation uh there are some

play25:49

opportunities that open up when our

play25:52

journalists start using this these tools

play25:54

and starts getting familiar with the

play25:56

opportunities that they provide

play25:58

wide so we've launched an editorial AI

play26:02

Hub uh which have a couple of initiative

play26:05

leads that work in our Central

play26:07

organization the intention of this AI

play26:10

Hub is to connect basically our

play26:12

newsrooms uh the journalists out there

play26:15

which of which eight are participating

play26:18

in this Hub project with our development

play26:21

resources and our AI team and our

play26:24

editorial development team so basically

play26:28

uh they will try to be ambassadors they

play26:30

will try to learn how we can use these

play26:33

tools in a most Innovative way and we'll

play26:36

try to let that also influence the way

play26:39

we product developed so this is how it

play26:42

works we put something into our AI

play26:45

router uh which uh obviously

play26:48

communicates with open AR or Google or

play26:50

any other third party and we get

play26:53

output we log the data so we know what

play26:56

our journalists use this

play26:58

for we can give feedback towards the

play27:02

output thanks to our AI team and then

play27:05

basically over time we can build our own

play27:07

am media GPT which knows am media's

play27:11

content which knows uh what constitutes

play27:13

a good headline and a less good headline

play27:15

which knows what journalists really mean

play27:18

when they type different prompts into

play27:20

the interface so that is sort of um sort

play27:23

of the

play27:24

ID which we just started down the rout

play27:26

of

play27:28

uh but of course even in a safe

play27:31

environment even in a sandbox there are

play27:33

dos and don'ts so what we tell our

play27:35

journalists in addition to giving the

play27:37

editors some guidance on establishing

play27:40

their own guidelines we obviously tell

play27:42

everyone to use the sandbox don't be

play27:44

afraid to use it you can't do anything

play27:45

really wrong as long as you don't I

play27:47

don't know feed your personal health uh

play27:50

information or something into the tools

play27:53

um and we need to get them to start

play27:56

start asking the question can this

play27:57

sandbox help me with this so uh that's

play28:00

probably the biggest uh the biggest uh

play28:03

body of work it's getting enough people

play28:08

uh interested in and getting them to

play28:10

understand the possibilities that these

play28:12

tools give

play28:13

you uh obviously you need to fact check

play28:17

before publishing which by the way goes

play28:19

for uh not just gen AI

play28:23

created content but pretty much every

play28:25

content but it's uh it's even more

play28:27

important now obviously and also there's

play28:30

no don't there's a couple of don'ts

play28:32

which uh you can pretty much um if

play28:36

you're if you're sensible about it you

play28:38

can pretty much uh deduce this

play28:40

yourselves but it's it's nice to be

play28:42

explicit about

play28:44

it uh and obviously there's an

play28:46

opportunities opportunity to give

play28:48

feedback directly to the sandbox as

play28:51

well um so if I Tred to summarize why

play28:54

did we make it well uh it gives us

play28:56

flexibility in terms of which third

play28:58

party AI tools we want to use in a safe

play29:00

environment it ensures data

play29:03

security uh it's cost efficient and we

play29:06

have control over the costs we don't

play29:09

distribute the decisions about which AI

play29:11

tools I want to buy or plug into our

play29:14

systems uh into 100 news

play29:18

rooms and of course we gain knowledge of

play29:20

our business needs and the potential use

play29:22

cases through the use patterns we see

play29:25

also this is a chance for our

play29:26

journalists to yes as I said guide the

play29:30

direction of our product development

play29:31

which I think is maybe the most exciting

play29:34

thing about all this and it's also a way

play29:36

to ensure that we spread expertise uh

play29:38

and um the ability to use AI tools

play29:41

efficiently as a journalist to us an

play29:44

editor throughout our

play29:47

organization

play29:50

and we have had a couple of workshops

play29:53

with the AI Hub these are just a couple

play29:56

of things that we want to implement into

play29:58

the AI sendbox quite uh quite quickly uh

play30:03

using uh the feedback that they have

play30:05

given us so for instance the

play30:07

brainstormer which is basically a more

play30:09

efficient way of uh asking for IDs fact

play30:13

checking obviously is going to be

play30:15

important Auto writer is something that

play30:17

we're working on at the moment basically

play30:19

uh for instance if if a journalists uh

play30:23

in a local newspaper this happens quite

play30:25

frequently uh in our

play30:27

newspapers if someone wanted to do a

play30:29

story about the weather then they might

play30:32

check uh the weather forecast and they

play30:34

start write up writing up a story the

play30:37

auto writer can do this for you you can

play30:39

call the meteorologists or something and

play30:41

get get a quote instead and be more

play30:43

efficient talk to

play30:45

people um and obviously different um

play30:49

different kinds of

play30:51

functionalities this is just a result of

play30:53

one workshop and the initial feedback

play30:56

we've got gotten from journalists and

play30:59

this is going to expand quite quickly um

play31:01

at the moment this is a Sandbox which is

play31:04

a stand loone product it's not

play31:05

incorporated into our CMS but obviously

play31:09

uh that is the end goal we want to incor

play31:11

incorporate this this into the workflow

play31:13

of every journalist but just to

play31:16

reiterate it you don't need a host of

play31:19

developers you don't need a huge Central

play31:22

organization you don't need to plug this

play31:25

into your CMS what what you can do is

play31:28

hire a developer and let them spend 10

play31:31

or 15 hours to set up this safe

play31:33

environment for you um the main body of

play31:36

work um with our a andbox has basically

play31:39

been done in about a month with one or

play31:41

two people involved so it's not a lot of

play31:43

work it's not Out Of Reach for even

play31:46

really small

play31:48

Publishers and obviously our our wish

play31:50

here is to create a set of tools that

play31:52

helps our journalists become better in

play31:53

their jobs and enables time uh spent

play31:56

meeting real people and writing real

play31:59

stories so that's basically the Crux of

play32:02

it uh I'm afraid I did the the live demo

play32:06

a bit early in the presentation but I

play32:08

think it works um pretty much worked

play32:12

either way don't you think

play32:14

Cecilia absolutely that was brilliant

play32:17

very seamless I have to

play32:19

say um thank you so much Marcus um I'm

play32:23

going to let we have we got a question

play32:25

we need to make sure we have enough time

play32:26

for questions we have a question from

play32:28

Saka ludik uh she said during the demo

play32:31

she said it looks like there's a

play32:33

limitation of use for your reporters the

play32:35

interface says something with usage of

play32:38

tokens she's wondering what this is

play32:41

about yeah it's basically it's basically

play32:45

functionality that exists in every large

play32:48

language model because it it's so

play32:52

resource demanding but you don't see it

play32:54

in the interface of chat GPT because so

play32:57

basically what it means is um in every

play33:01

context window you have a limited amount

play33:04

of

play33:05

memory in the language model so for

play33:08

instance if I were to chat for two more

play33:11

hours about the story I chatted

play33:14

about earlier then I would use up sort

play33:17

of the the context memory of that

play33:21

particular um instance but what what we

play33:24

basically do is refresh the window and

play33:26

start over again

play33:27

without the earlier context so it's not

play33:29

a limit and it's very cost efficient it

play33:31

doesn't cost us a lot at all so that's

play33:34

that's just the way the large language

play33:35

models Works uh chat jpt does this but

play33:39

you don't see it in the interface so

play33:40

perhaps we should hide it

play33:42

that's and and uh I think we saw three

play33:45

different large language models there um

play33:48

why have you done that and what is the

play33:52

learning so far well it's only been a

play33:53

week

play33:55

but yeah but obviously the the use cases

play33:59

are quite extensional already so we have

play34:03

learned a lot already just during the

play34:04

first week but but basically the idea is

play34:07

to we don't want to limit uh the access

play34:10

to different types of language models or

play34:13

AI tools we want uh to experiment with

play34:16

which ones perform the best and which

play34:18

ones uh are the most intuitive for our

play34:21

journalists and the early findings is

play34:23

that chat GPT 4 is by far the most

play34:26

popular and

play34:27

better one so far

play34:30

so G is not not that no and they ran

play34:35

into trouble didn't they yeah yeah yeah

play34:37

they did and

play34:38

[Music]

play34:40

um a question about fact Checkers yeah

play34:44

sorry how does check fact Checker

play34:48

works yeah so basically we have um this

play34:51

is um this is a system deviced from our

play34:54

AI team the reason why why large

play34:57

language models hallucinate is because

play34:59

they predict uh but they can only

play35:02

predict uh based on the context that you

play35:05

give them so basically if you if you

play35:08

Anchor

play35:09

Information then you can use llm to fact

play35:12

check for you I don't remember the

play35:15

technical term it's a different type of

play35:17

model but basically you instead of uh

play35:21

asking the training material of chat GPT

play35:24

who's the president of the United States

play35:26

you anchor uh a verified place of

play35:30

information for instance Wikipedia if

play35:32

you trust that or another encyclopedia

play35:34

and then you go there

play35:37

directly that's one way of doing it

play35:40

right uh I have I have a quite a

play35:43

different question but I'm quite

play35:45

interested in knowing are you

play35:47

communicating this to and do you think

play35:49

it's necessary because it's not actually

play35:51

you're not autop publishing anything but

play35:53

are you communicating to your readers

play35:55

about the fact that AI is involved in

play35:57

your journalism now somehow and how do

play35:59

you do that absolutely so this is um

play36:04

basically the way am media works is this

play36:06

is every editor's uh own privilege to to

play36:11

to decide how you want to do this but we

play36:13

we've established some guidelines as I

play36:16

showed you and in those guidelines we

play36:18

for instance recommend uh that whenever

play36:21

you've used AI tools you should probably

play36:24

explicitly tell the reader about it so

play36:26

for instance this tic this article

play36:28

summary has been produced with the help

play36:31

of AI tools or right a text yes that

play36:36

sort yeah absolutely but definitely it's

play36:39

it's that's a really important part of

play36:40

the the trust Dimension I think to be

play36:43

open where

play36:45

and um we have a question from um Dean

play36:51

uh every editor and journalist has exper

play36:54

access to this right there is no limit

play36:57

who can use it no that's

play36:59

right

play37:00

[Music]

play37:02

um

play37:03

the kind of the problem you know every

play37:06

editor and has access to chat GPT as

play37:08

well and we don't want them to use them

play37:10

use it without

play37:11

thinking yeah but they don't have to use

play37:14

it yeah do they have to use it um

play37:17

interesting question I know where very

play37:21

good question uh I know shipstad for

play37:24

instance some of their newspapers have

play37:26

implemented this it as a demand that you

play37:30

have to use AI tools just to get used we

play37:33

have not done that yet we won't to

play37:35

inspire people to use

play37:37

it but I'm I don't think you can

play37:43

really you you you you do not have the

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choice of not U trying out some of these

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possibilities as a journalist I don't

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think you can I just don't think it's

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viable no I think you're right in this

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day and age

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nichas you have any

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questions yeah so you had it out for

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some for a short time it's quite kind of

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new right so so what are the First

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Reactions like personal that you can

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tell

play38:10

us finally it's the most common reaction

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um and obviously that reaction comes

play38:17

from those people who have probably

play38:19

tested a lot of AI tools outside of our

play38:22

digital ecosystem before um but but also

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we oh there have been so many questions

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there there have been questions about

play38:30

guidelines um there have been

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journalists contacting us wondering

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whether you should use this for

play38:37

illustrating historical podcast pieces

play38:40

uh there's been a lot of questions um

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and in terms of use patterns U basically

play38:47

the most the most used use case so far

play38:51

seems to be chatting with your headlines

play38:54

to try to improve them which I think is

play38:55

quite clever from our yeah our editors

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yeah

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absolutely all right we're uh we're

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running it's very popular we probably

play39:05

could talk for a long time about this

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but uh we'll we'll come back to this um

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topic again I'm sure um I'm going to

play39:14

share my screen

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again

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um so um this as I said this webinar

play39:23

will be available to watch On Demand uh

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on the innovate Local website uh and

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we'll send out an email with that link

play39:30

um there will also be a write up and

play39:32

we'll have some other resources

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available um if you have question any

play39:37

questions about innovate local uh

play39:39

suggestions for cases or maybe you have

play39:41

a case that you would like to present um

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please get in touch with me on nichlas

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um and our next webinar is in two weeks

play39:49

on March 20th and we'll feature an

play39:51

exciting case from tamedia in

play39:53

Switzerland the topic will be audience

play39:55

development and we'll hear how Tamia

play39:58

offers hyper local newsletters to

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communities with as few as 5,000

play40:03

inhabitants and through smart data

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collection um the time to produce these

play40:07

newsletters have gone from several hours

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to 20 minutes uh and the newsletters now

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have a reach of 20 to 40% after just one

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year of of

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operation and the job is to drive

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Tamia's top of subscription funnel so um

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now I realize audience development might

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not be your main topic of interest but

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it will be no doubt be very interesting

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to one of or two of your colleagues so

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we really recommend that you spread the

play40:33

word in your companies about innovate

play40:36

local um to people to come and register

play40:38

and then to get on that all important um

play40:42

mailing list to get the link to the

play40:44

webinar every Monday and you can choose

play40:45

whether you join or not so let everybody

play40:49

know uh that concludes uh this innovate

play40:53

local webinar thank you so much Marcus

play40:55

for sharing your sites and doing a live

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demo that was very brave um and thank

play40:59

you for supporting our program we really

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appreciate it uh and thanks everyone for

play41:04

joining us today we hope to see you here

play41:07

again soon for another Wednesday webinar

play41:10

goodbye goodbye thank you Marcus goodbye

play41:14

everyone

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