AI and Analytics with SAS | SAS Explore Recap

Summary

In 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.