Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence. Hosts Kathleen Walch and Ron Schmelzer discuss pressing topics around artificial intelligence with easy to digest content, interview guests and experts on the subject, and cut through the hype and noise to identify what is really happening with adoption and implementation of AI.
Interview with Andrey Kurenkov and Sharon Zhou from Let's Talk AI Podcast
On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Andrey Kurenkov and Sharon Zhou from the Let's Talk AI Podcast. As their podcast covers the latest AI news, we discussed what they are seeing as some of the biggest trends emerging out of AI today. They also share how far they think industry has to go with its adoption of AI and some surprising AI trends, news, and topics they are seeing.
Kathleen and Ron were also guests on the Let's Talk AI podcast. If you'd like to hear this interview podcast, you can listen to that interview here.
Data for AI CommunityCPMAI Methodology
Methodologies and Best Practices for Successful RPA Implementation
Automation has provided tremendous value to organizations and agencies of all sorts. However, if you want to see real value from automation, and in particular Robotic Process Automation (RPA), it’s important to know what these bots can and can’t do, and how AI is being applied to help handle more complex tasks.
Hosts Kathleen Walch and Ron Schmelzer walk through different methodologies including the Cognitive Project Management for AI (CPMAI) methodology to provide you with the foundation needed for project success, especially as you incorporate AI into your intelligent automation projects. The CPMAI methodology is the industry’s best practice for AI & ML projects.
Kathleen and Ron also delivered a recent webinar on this topic. If you're interested in watching the full webinar you can do so at: https://www.youtube.com/watch?v=9O-10MUzigI
CPMAI MethodologyHow Automation Is Transforming The USPTO Forbes article
AI Education Series: Best Practices & Methodologies for AI
This podcast episode is part of our AI Education series and provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In this podcast we’re sharing a clip from our Best Practices & Methodologies for Successful AI Implementation course. Knowing best practices for implementing AI on a large scale is critical for the success of your project. Existing methodologies that are either application development-centric or enterprise architecture focused or rooted in hardware or software development approaches face significant challenges when faced with the unique lifecycle requirements of AI projects. In this clip we'll go over the topics of big data, AI, and the DIKUW pyramid.
If you’re looking for more comprehensive explanations and education on this we encourage you to sign up for our Cognilytica education where you can take the Best Practices & Methodologies for Successful AI Implementation course as well as our 50+ additional courses.
Best Practices & Methodologies for Successful AI Implementation courseCognilytica Education
Insights into AI: Interview with Sagar Indurkhya, Head of NLP, Virtualitics
Many companies are trying to adopt AI at their organization. However, it's important to have the right mindset and methodologies in place when adopting a transformative technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Sagar Indurkhya who is Head of NLP at Virtualitics. He shares with us challenges he has seen organizations face regarding AI and ML adoption, especially for non-technical users. He also shares the importance of data for AI, helpful approaches to make ML models more transparent, and why having a skeptical mindset is important for AI success.
Data AI CommunityLink to Virtualitics presentationCognilytica Education
Are Legal Digital Assistants the future? Interview with Rick McFarland, Chief Data Officer at LexisNexis
The legal profession is still largely dominated by humans. However, AI and ML is steadily being adopted, enhancing legal processes and activities of all sorts. In this episode of the AI Today podcast, Cognilytica analysts interview Rick McFarland, Chief Data Officer at LexisNexis. He shares with us some of the challenges with AI adoption in the legal profession as well as some of the opportunities he sees around domain specific AI-driven Q&A platforms. He also shares what's needed to get a professional grade digital assistant and how AI can act as an augmented intelligence device for lawyers and those in the legal profession.
Rick is also presenting at our Data for AI Community. Be sure to check out his talk Building a Star Trek AI for the Legal Industry? LexisNexis says, “Make It So.”
August 2021 Data for AI: Building a Star Trek AI for the Legal Industry? LexisNexis says, “Make It So.”INFOGRAPHIC: AI in LegalAI Today Podcast #127: AI in Legal
AI Education Series: Applications of AI
This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In our education we go into great detail explaining and breaking down AI, including applications of AI. Because, it’s one thing to learn the terms and concepts of AI but it’s another thing to see how AI can actually be applied. This podcast is an excerpt from our Cognilytica Education course “Applications of AI”. In this clip we discuss why you should both with AI at all, as well as go into a high level overview of the seven patterns of AI.
If you’re looking for more comprehensive explanations and education on this we encourage you to sign up for our Cognilytica education where you can take the Applications of AI course as well as our 50+ additional courses.
Applications of AI Cognilytica CourseCognilytica Education
AI has really given me a lot of insight on the future and current standing of AI. I would recommend this podcast to anyone who’s interested in exploring new advancements in the Tech industry.
Episode 168 was a waste of time. There was nothing of substance except for vague allusions to "AI for diagnostics" and other buzzwordy things, but nothing specific. I would strongly encourage the podcast owners to screen for BS guests better.
It might even be true that the VA is actually doing something interesting, but this is not the podcast to learn about that.
A good rule of thumb: the more times they say "AI" the less substance there will be about any ML techniques, interesting challenges faced and overcome, etc.
This team has its finger on the pulse of where artificial intelligence is now and in the future. This is my go-to podcast for all things AI