Becoming a Hybrid AI Developer/Scientist
One of the preferred dialogue matters today is AI developer vs AI scientist. Rather than switching from one to the
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The Early Days of the Internet
Join Dan Wilson and visitor Wes Kussmaul on the AI Think Tank Podcast as they discover computing in the Nineteen
Read moreA Look at Kwaai’s Personal AI OS
Interview with Kwaai’s Toby Morning and Karsten Wade In the most recent episode of the AI Think Tank podcast, I had
Read moreThe road to democratized AI with Kwaai
“Our aim is to redefine the interplay between know-how and private information. We envision an AI that’s not only a
Read moreCybersecurity practices and AI deployments
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and synthetic intelligence with the insights of Tim
Read moreTowards Better GenAI: 5 Major Issues, and How to Fix Them
(*5*) After enjoying with GPT for a while, testing GenAI vendor options, designing my very own, and studying suggestions from
Read moreDSC Webinar Series: How to Scale NiFi Deployments to Enable Universal Data Distribution
As companies battle with extra information sources and locations than ever, they try to convey governance, safety, and effectivity to
Read moreThe Rise of the Dual Data Scientist / Machine Learning Engineer
There are 1000’s of articles explaining the variations between knowledge scientist and machine studying engineer. Data science will get damaged
Read moreHow to Automate Data Cleaning, in a Nutshell
Data scientists spend 80% of their time on knowledge cleansing and exploratory evaluation. What if you happen to might automate
Read more15 Data Issues and How to Fix Them (Part 1)
How to repair varied information points in a number of easy steps? In this primary half, I focus on lacking,
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