AI and Analytics with SAS | SAS Explore Recap
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
😀 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
💡AI
💡Analytics
💡Generative AI
💡Synthetic Data
💡Data Engineering
💡Computer Vision
💡Augmented Analytics
💡Data Governance
💡LLMs
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.
Transcripts
what's going on everybody welcome back
to another video today we're gonna be
talking about SAS
[Music]
uke I was invited out to SAS explore
which is their big SAS conference out in
Las Vegas now on my channel I have
recommended in the past for people to
learn SAS for statistics that's really
all I've ever personally used it for but
I had a feeling it did more than that so
when they mentioned that this conference
was going to have a big focus on AI and
analytics I really wanted to attend
because I wanted to see how these large
companies were going to be integrating
AI into their software now although Ai
and generative AI was the main focus of
this conference they still had all these
booths in this giant room with
everything that SAS actually did I
honestly didn't know that SAS did all of
those things I really just thought it
was for statistics and that is in the
name of SAS but they do a lot of other
things like data engineering computer
vision augmented analytics data
governance and a ton of other things as
well and so I was just kind of nerding
out at every Booth I was asking a ton of
questions and really digging into how
each of their systems work and they
honestly looked really cool and so now
looking back I feel kind of bad because
I've only ever talked about it for
statistical analysis and I didn't really
know or understand that did all of these
other things but one of the things that
interested me the most and something
that I specifically came out there to
learn more about was Ai and generative
AI within SAS there's really only two
different things that I wanted to talk
about in terms of AI and generative AI
within SAS I just thought was really
really cool the first was how they can
create this synthetic data that you can
use to test for specific use cases it's
basically fake data that you can create
for all these what if scenarios what if
this happens and you can test the data
on it to see what would happen in that
scenario that alone is a really great
use of AI and they gave an example with
kidney disease and kidney transplants in
healthcare and I'm extremely familiar
with that area and so I thought the use
case that they gave was really unique
and something that I thought would be
really useful because I've actually
worked with that data before I could
absolutely see myself using something
like that using this fake synthetic data
in order to test all these hypothesis or
all these scenarios the second thing
that I thought was really cool is that
they're implementing llms throughout
their entire product so at every single
level of their product you're going to
be able to just chat with your data and
ask questions and kind of get some of
the low level tasks done quickly that's
something that a ton of other really big
tech companies are trying to do and SAS
is actually doing it so it's just really
neat to see how they're executing it and
how it actually works all that to say I
feel like I need to dig into SAS just a
little bit more to really understand it
and see everything that it can do huge
shout out to SAS for bringing out to the
conference I had a wonderful time and I
got to spend time with some really
awesome creators in the data space if
you like this video be sure to like And
subscribe and I will see you in the next
video
[Music]
thank you
[Music]
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