AI and Analytics with SAS | SAS Explore Recap

Alex The Analyst

26 Sept 202302:58

Summary

TLDRIn this video, the host explores SAS Explore, a conference in Las Vegas focusing on AI and analytics. Initially, the host was aware of SAS for statistical analysis but was surprised to learn about its extensive capabilities, including data engineering, computer vision, and data governance. The host was particularly intrigued by SAS's AI and generative AI applications, such as creating synthetic data for testing scenarios and integrating LLMs for interactive data querying. The experience led to a newfound appreciation for SAS's comprehensive offerings and a desire to delve deeper into its functionalities.

Takeaways

🎥 The video discusses the SAS software and its capabilities beyond just statistics.
🏰 The creator attended SAS Explore, a major conference in Las Vegas, to learn about SAS's integration of AI and analytics.
🤖 AI and generative AI were the central themes of the conference, showcasing SAS's advancements in these areas.
📊 SAS offers a wide range of services including data engineering, computer vision, augmented analytics, and data governance.
🧠 The creator was particularly interested in SAS's use of AI for creating synthetic data for testing specific use cases.
🔍 An example of synthetic data use was provided related to kidney disease and transplants, a field the creator is familiar with.
🗣️ SAS is implementing Large Language Models (LLMs) across their product line to enable chatting with data for quick tasks.
🌟 Other big tech companies are also working on similar AI integrations, but SAS is already executing it.
📚 The creator feels the need to explore SAS more deeply to understand its full range of capabilities.
🎉 The video ends with a thank you to SAS for the conference invitation and a call to like and subscribe for more content.

Q & A

What was the main focus of the SAS conference mentioned in the video?
-The main focus of the SAS conference was AI and generative AI.
What did the speaker initially think SAS was primarily used for?
-The speaker initially thought SAS was primarily used for statistical analysis.
What other capabilities of SAS did the speaker discover at the conference?
-At the conference, the speaker discovered that SAS has capabilities in data engineering, computer vision, augmented analytics, data governance, and more.
What was the speaker's reaction to the variety of SAS offerings?
-The speaker was surprised and excited, admitting they had only ever talked about SAS for statistical analysis and didn't know about its other capabilities.
What is synthetic data according to the video?
-Synthetic data is fake data that can be created for testing specific use cases and 'what if' scenarios.
How did SAS demonstrate the use of synthetic data in healthcare?
-SAS demonstrated the use of synthetic data with an example related to kidney disease and kidney transplants.
What was the speaker's background experience with the healthcare example provided by SAS?
-The speaker has worked with healthcare data before and was familiar with the kidney disease and transplant area, making the use case particularly relevant to them.
What is the second cool feature of SAS that the speaker was interested in?
-The second feature that interested the speaker was the implementation of LLMs (Large Language Models) throughout SAS's entire product line, allowing users to chat with their data and perform tasks.
How does the speaker feel about SAS's implementation of LLMs?
-The speaker finds SAS's implementation of LLMs impressive and neat, appreciating how it is being executed and integrated into the product.
What was the speaker's overall impression of the SAS conference?
-The speaker had a wonderful time at the SAS conference, enjoyed interacting with other creators in the data space, and felt the need to explore SAS more deeply.
What does the speaker encourage viewers to do after watching the video?
-The speaker encourages viewers to like and subscribe to their channel if they enjoyed the video.

Outlines

00:00

😀 Exploring SAS Conference and AI Integration

The speaker begins by welcoming viewers to a video discussing their experience at the SAS conference, specifically SAS Explore, held in Las Vegas. They mention their previous recommendation of SAS for statistical purposes but express a newfound interest in its broader capabilities, particularly in AI and analytics. The speaker was intrigued by the conference's focus on AI and generative AI and decided to attend to understand how SAS is integrating these technologies into their software offerings. They were surprised to learn about the wide range of SAS's capabilities, including data engineering, computer vision, augmented analytics, and data governance, beyond just statistics. The speaker shares their enthusiasm for engaging with various booths and learning about SAS's systems. Two aspects of AI and generative AI within SAS particularly caught their attention: the creation of synthetic data for testing specific use cases, exemplified by a healthcare scenario involving kidney disease and transplants, and the implementation of LLMs (Large Language Models) throughout SAS's product suite to enable chatting with data for quick task completion. The speaker concludes by expressing a desire to delve deeper into SAS's functionalities and thanks SAS for the conference experience, which allowed them to connect with other data enthusiasts.

Mindmap

Keywords

💡SAS

SAS is an acronym for Statistical Analysis System, which is a software suite used for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. In the video, the speaker attends the SAS conference to explore the capabilities of SAS beyond just statistics, highlighting its expanded role in AI and analytics.

💡AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video discusses the integration of AI into SAS software, indicating a shift towards more advanced data analysis and automation.

💡Analytics

Analytics is the process of examining, cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision-making. The video emphasizes the importance of analytics in SAS's offerings, suggesting that it plays a central role in the company's software solutions.

💡Generative AI

Generative AI refers to a type of artificial intelligence that can generate new content, such as data, images, or text, based on existing patterns. In the context of the video, generative AI within SAS is highlighted as a means to create synthetic data for testing various scenarios.

💡Synthetic Data

Synthetic data is artificially created data that mimics real data in terms of statistical properties but does not contain any real personal or sensitive information. The video mentions the use of synthetic data in healthcare, specifically for testing scenarios related to kidney disease and transplants.

💡Data Engineering

Data engineering is the practice of designing, building, and maintaining the systems and processes that enable the creation, deployment, and management of data. The video script indicates that SAS offers solutions in data engineering, suggesting that it helps in the preparation and management of data for analysis.

💡Computer Vision

Computer vision is a field of AI that enables computers to interpret and understand the visual world. The video implies that SAS has capabilities in computer vision, which could involve analyzing images or videos to extract meaningful data.

💡Augmented Analytics

Augmented analytics is the use of AI and machine learning to automate data preparation, insight generation, and data exploration. The video suggests that SAS is incorporating augmented analytics into its software, which could help users to more easily gain insights from data.

💡Data Governance

Data governance is the framework of policies, roles, and responsibilities that manage the availability, usability, integrity, and security of an organization's data. The video mentions data governance as one of the many areas where SAS provides solutions, indicating its role in ensuring data quality and compliance.

💡LLMs

LLMs, or Large Language Models, are AI models that are trained on vast amounts of text data and can understand and generate human-like text. The video discusses SAS's implementation of LLMs in their products, allowing users to interact with data through natural language queries.

Highlights

Introduction to SAS Explore conference focused on AI and analytics.

SAS is known for statistics, but the conference showcased a broader range of capabilities.

SAS offers solutions in data engineering, computer vision, augmented analytics, and data governance.

Attendee's curiosity about SAS's capabilities beyond statistical analysis.

AI and generative AI were the main focus of the SAS conference.

SAS's ability to create synthetic data for testing specific use cases.

Use case demonstration with kidney disease and kidney transplants in healthcare.

The potential of synthetic data for hypothesis testing and scenario analysis.

SAS's implementation of LLMs (Large Language Models) across their product suite.

Chatting with data to perform low-level tasks quickly through SAS's LLM integration.

SAS's execution and practical application of AI within their software.

The speaker's realization of the need to explore SAS's full capabilities.

Gratitude expressed to SAS for the conference invitation and experience.

Networking opportunities with creators in the data space at the conference.

Call to action for viewers to like and subscribe for more content.