Listen "Interview with Mahesh Chandra Mukkamala from Quantpi"
Episode Synopsis
🇩🇪 People can join Quantpi's "RAI in Action" event series kicking off in Germany in March:
👉 https://www.quantpi.com/resources/events
🇺🇸 U.S. based folks can join Quantpi's GTC session on March 20th called "A scalable approach toward trustworthy AI":
👉 https://www.nvidia.com/gtc/session-catalog/?ncid=so-link-241456&linkId=100000328230011&tab.catalogallsessionstab=16566177511100015Kus&search=antoine#/session/1726160038299001jn0f
👉 Lunchtime BABLing listeners can save 20% on all BABL AI online courses using coupon code "BABLING20".
📚 Sign up for our courses today: https://babl.ai/courses/
🔗 Follow us for more: https://linktr.ee/babl.ai
🎙️ Lunchtime BABLing: An Interview with Mahesh Chandra Mukkamala from Quantpi 🎙️
In this episode of Lunchtime BABLing, host Dr. Shea Brown, CEO of BABL AI, sits down with Mahesh Chandra Mukkamala, a data scientist from Quantpi, to discuss the complexities of black box AI testing, AI risk assessment, and compliance in the age of evolving AI regulations.
💡 Topics Covered:
✔️ What is black box AI testing, and why is it crucial?
✔️ How Quantpi ensures model robustness and fairness across different AI systems
✔️ The role of AI risk assessment in EU AI Act compliance and enterprise AI governance
✔️ Challenges businesses face in AI model evaluation and best practices for testing
✔️ Career insights for aspiring AI governance professionals
With increasing regulatory pressure from laws like the EU AI Act, companies need to test their AI models rigorously. Whether you’re an AI professional, compliance officer, or just curious about AI governance, this conversation is packed with valuable insights on ensuring AI systems are trustworthy, fair, and reliable.
🔔 Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest AI governance insights from BABL AI!
📢 Listen to the podcast on all major podcast streaming platforms
📩 Connect with Mahesh on Linkedin: https://www.linkedin.com/in/maheshchandra/
📌 Follow Quantpi for more AI insights: https://www.quantpi.comCheck out the babl.ai website for more stuff on AI Governance and
Responsible AI!
👉 https://www.quantpi.com/resources/events
🇺🇸 U.S. based folks can join Quantpi's GTC session on March 20th called "A scalable approach toward trustworthy AI":
👉 https://www.nvidia.com/gtc/session-catalog/?ncid=so-link-241456&linkId=100000328230011&tab.catalogallsessionstab=16566177511100015Kus&search=antoine#/session/1726160038299001jn0f
👉 Lunchtime BABLing listeners can save 20% on all BABL AI online courses using coupon code "BABLING20".
📚 Sign up for our courses today: https://babl.ai/courses/
🔗 Follow us for more: https://linktr.ee/babl.ai
🎙️ Lunchtime BABLing: An Interview with Mahesh Chandra Mukkamala from Quantpi 🎙️
In this episode of Lunchtime BABLing, host Dr. Shea Brown, CEO of BABL AI, sits down with Mahesh Chandra Mukkamala, a data scientist from Quantpi, to discuss the complexities of black box AI testing, AI risk assessment, and compliance in the age of evolving AI regulations.
💡 Topics Covered:
✔️ What is black box AI testing, and why is it crucial?
✔️ How Quantpi ensures model robustness and fairness across different AI systems
✔️ The role of AI risk assessment in EU AI Act compliance and enterprise AI governance
✔️ Challenges businesses face in AI model evaluation and best practices for testing
✔️ Career insights for aspiring AI governance professionals
With increasing regulatory pressure from laws like the EU AI Act, companies need to test their AI models rigorously. Whether you’re an AI professional, compliance officer, or just curious about AI governance, this conversation is packed with valuable insights on ensuring AI systems are trustworthy, fair, and reliable.
🔔 Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest AI governance insights from BABL AI!
📢 Listen to the podcast on all major podcast streaming platforms
📩 Connect with Mahesh on Linkedin: https://www.linkedin.com/in/maheshchandra/
📌 Follow Quantpi for more AI insights: https://www.quantpi.comCheck out the babl.ai website for more stuff on AI Governance and
Responsible AI!
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