If you’ve been tuning into Your AI Injection this year, you’ve probably noticed we’ve gone beyond just explaining how AI and machine learning work, and how they might fit into your business. We’ve reframed our mission to stay unbiased while shining a light on the ethical and societal impact these technologies carry. That’s why we’ve started asking each guest the toughest question of all: Should what they’re building actually be built?
As 2024 draws to a close, new AI-powered tools are emerging at lightning speed, a natural byproduct of progress. But with that surge comes a responsibility to ask hard questions: Are these solutions equitable and transparent? Are we safeguarding data, and peoples’ privacy? We’ve curated the year’s top episodes to help you reflect on these issues, highlighting the ethical nuances that ensure AI is used for good. Let’s dive in, and I hope these conversations spark the development of a critical lens within you on AI’s potential to transform our world—both for better and for worse.
#5: Expert Tips for AI Implementation and Data Strategy with Paul Lewis
Ever feel like you’re sitting on a goldmine of data but don’t know how to strike it rich?
Deep Dhillon and Paul Lewis, CTO of Pythian, explore the many challenges enterprises can face when implementing AI at scale in this episode. Many companies need to transition from basic data management to advanced AI applications to stay competitive, especially as 2024 comes to a close. The two discuss how Pythian helps organizations refine their highest-value AI ideas, prioritize projects with the highest ROI, and help them navigate the complexities of integrating AI with existing, often outdated systems.
They also touch on the importance of grounding your AI initiatives in solid data foundations. It’s one thing to collect data; it’s another to transform it into AI-driven features that really pay off. The two chat about how to build a strong data foundation, why many companies skip this crucial step, and what happens when you try to build cutting-edge AI on shaky ground.
Listen to this episode if you’re interested in:
Transforming raw data into actionable AI insights
Avoiding common pitfalls in enterprise AI implementation
Building sustainable, scalable AI initiatives that deliver real ROI
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#4: The Potential of AI in Revolutionizing Personalized Tutoring with Brent Beck
We’ve all heard about the rise in AI-generated essays, but what if AI could be used for good in the educational field?
In this episode of Your AI Injection, Deep interviews Brent Beck, CTO of Littera Education, to discuss the evolving role of AI in personalized tutoring. In a post-COVID world tutoring has become more prominent than ever, a near-necessity for students to keep up-to-date. Education in particular is slow to adopt new technologies, although some AI initiatives like Khan Academy’s learning paths are already under way. And there are significant challenges involved in ensuring tutoring programs can close learning gaps in a way accessible to all students, however underprivileged.
Brent and Deep also touch on AI’s astounding potential in EdTech, where treasure troves of data from student engagement, tutor-student interactions, and curriculum based assessments could be utilized for future AI/ML applications. If you’re interested in how AI could analyze tutor feedback, offer real-time feedback to teachers, and ultimately enhance the effectiveness of tutoring sessions and increase student engagement as a whole, this episode is right up your alley.
Listen to this episode if you’re interested in:
Leveraging AI to enhance, not replace, human tutoring
Making quality education accessible to underprivileged students
Using data responsibly to improve student engagement
#3: AI's Role in Energy Regulation and Compliance with Yuval Lubowich
Sometimes the most impactful AI applications aren't the flashiest, but the ones that make our everyday lives just a little easier. Yuval Lubowich, co-founder and CTO of HData, showed us how AI is revolutionizing energy sector regulation, turning weeks-long processes into hours-long tasks. It's the perfect example of AI working behind the scenes to make our world more efficient and sustainable.
In this episode of Your AI Injection the two explore the refinement of regulatory data management for energy companies. Yuval unpacks the challenges associated with navigating the complex regulatory landscape, but envisions a future in which AI can broaden access to this regulatory information, making a more transparent energy landscape possible.
This is AI at its most subtle yet impactful, saving energy companies (and us!) time and money.
Listen to this episode if you’re interested in:
Streamlining complex regulatory processes
Making energy policy more transparent through AI
Balancing innovation with compliance
#2: AI-Driven Manufacturing: Predictive Maintenance and Defect Detection with Ryan Thompson
Imagine a cookie factory that predicts equipment failures before they happen, then adjusts the line to avoid wasted dough. Ryan Thompson from CRB Group paints us a vivid picture of self-optimizing factories, where AI makes things faster, smarter, and sustainable. He and Deep Dhillon dive into how to integrate legacy equipment, siloed data, and cutting-edge technologies to fundamentally reshape how products are made. Could factories become akin to ecosystems that optimize themselves in real time? Ryan thinks so—and he’s got the insight to back up that claim.
Listen to this episode if you’re interested in:
The future of self-optimizing factories
How AI is transforming quality control
Real-world applications of predictive maintenance
#1: AI and the Ethics of Influence: Exploring Synthetic Respondents & Decision-Making with Avi Yashchin of Subconscious AI
Our most provocative episode of the year dove into the ethical nuances of AI-powered decision modeling. Avi Yashchin, founder of Subconscious.ai, challenged us to confront uncomfortable questions about AI's potential for both understanding and manipulating human behavior. The conversation took an unexpected turn when Deep and Avi explored how synthetic respondents—AI simulations of human feedback—could either revolutionize market research and policy-making, democratize decision-making, or potentially enable unprecedented amounts of manipulation.
This episode embodies everything we've tried to achieve this year – moving beyond the surface-level hype to grapple with AI's profound implications for society. Avi's insights spark crucial discussions about technologists' responsibility in an age where AI tools are only getting more powerful.
Listen to this episode if you’re interested in:
The ethical implications of AI-powered behavioral modeling
How synthetic respondents could reshape market research
The delicate balance between innovation and responsibility
As your producer for Your AI Injection, what makes me proud isn't just the caliber of our guests or the depth of our discussions – it's how we've managed to shine a light on both the promise and perils of AI. In 2024, we've moved beyond simply asking "How does it work?" to the more crucial question: "Should it exist?"
We’re so grateful to everyone that tuned in this year. If you’re not already a regular listener, and this content piqued your interest, I hope you’ll explore, listen, subscribe, and review us on the platform of your choice!
Happy 2025!
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