Say goodbye to blackbox AI: Solve complex high-risk problems like drug discovery using symbolic AI | Casper Wilstrup The AI and Digital Transformation Podcast

If you asked AI to solve a Rubik’s cube, wouldn’t it be nice to understand all the steps it took to achieve the goal?

In this episode of the AI and Digital Transformation Podcast by G.M.S.C. Consulting, you will meet the other half of  AI: symbolic AI. It gives a step-by-step procedure that leads to its final answer. As pointed out by Abzu’s founder and CEO, Casper Wilstrup, symbolic AI helps pharmaceutical, financial, manufacturing, and logistical companies solve hard problems with confidence. 

Listen to this episode if you’re interested on answering the WHY to your unsolvable business problems using trustworthy and explainable AI.



Who is Casper Wilstrup?

Casper is the founder and CEO of Abzu®, the Danish/Spanish research startup that builds trustworthy AI to tackle high-risk challenges. Casper is the inventor of the QLattice® symbolic AI algorithm, an explainable AI that rationally reasons and makes evidence-based decisions. He has 20+ years of experience building large scale systems for data processing, analysis, and AI, and is passionate about the impact of AI on knowledge work and the intersection of AI with philosophy and ethics.

Check out our show notes for more info on Casper and Abzu.



Time Stamps

(00:00:00) Trailer

(00:01:22) About Casper and Abzu

(00:03:44) The history behind AI, the challenge of doing symbolic AI

(00:06:49) Why was Abzu formed?

(00:08:42) Duality of AI: symbolic and sub-symbolic AI

(00:13:05) How does symbolic reasoning work?

(00:14:44) How did Abzu solve the problem of symbolic AI? Meet QLattice

(00:18:43) Hypothetical scenario: Assessing legal cases (LLM vs. symbolic AI)

(00:23:13) Minimum requirements to properly run symbolic AI 

(00:24:42) Does symbolic AI need a lot of data to give a sound judgement?

(00:27:37) Is symbolic AI similar to causal inference? 

(00:33:53) Are there any limits to using symbolic AI? Explainable AI vs. Blackbox modelin AI

(00:38:30) Should people have prior knowledge on symbolic AI to use QLattice?

(00:41:15) Challenges and potentials of using symbolic AI

(00:43:41) Abzu’s business model; Is QLattice open-source?

(00:47:55) QLattice use case: medical research, life science and pharma

(00:51:50) Logistics use case: does QLattice work on-demand? (00:54:15) Closing remarks & book recommendation



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Logo credits: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Joshua Coleman, Unsplash⁠⁠⁠




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