Data Driven

In this episode, host Andy Leonard sits down with Ilan Man, founder and CEO of Paradox Machines, a full-stack data and AI company based in Brooklyn. Ilan shares his fascinating journey from an actuarial career to the dynamic field of data science, exploring the rise of big data, the art of translating complex mathematics into code, and the importance of numeracy in society.
Together, they discuss the paradoxes at the heart of data and AI, the challenges of decision-making under uncertainty, and why intuition, risk management, and storytelling remain critical in a world driven by data. Whether you're a data enthusiast, decision-maker, or just curious about how numbers shape our lives, this conversation delivers valuable insights and a healthy dose of skepticism about the limits, and possibilities, of analytics.
Links
https://www.linkedin.com/in/ilanman/

Time Stamps
00:00 Starting a career in data science
03:34 Discovering a career in actuarial science
08:17 Learning coding and joining Squarespace
11:40 Understanding Probability in Code
15:36 Questioning Confidence in Decision-Making
20:06 Discussing COVID vaccine effectiveness
21:09 Understanding vaccine effectiveness
24:41 Consumers interacting with unpredictable AI
29:35 Discussing disease perception and interpretation
33:01 Casino audiobook and extra details
35:41 Balancing data-driven decisions
40:07 Career journey to founding Paradox
40:49 Building a data platform with AI
46:41 Data's Role in Decision Making
47:30 Value and limits of data-driven decisions

In this episode, Frank La Vigne sits down with Pradnesh Patil, co-founder and CEO of Altima AI, to explore how AI is revolutionizing the world of data engineering. Together, they dive into the challenges of modern data stacks, the explosion of tools and technologies, and how AI-powered agents are transforming the way data teams build and maintain complex systems. From automating data pipeline management to optimizing infrastructure and safeguarding governance, Pradnesh Patil shares insights on the next wave of data engineering and what the future holds for professionals in the field. Whether you’re a veteran data engineer or a student curious about the evolving landscape, this episode offers practical advice, industry trends, and an optimistic look at how embracing AI can supercharge your career and your organization’s capabilities.
Links
Pradnesh's LinkedIn - https://www.linkedin.com/in/pradneshpatil/
Watch on YouTube -https://youtu.be/vxQrjE-U3gw

Time Stamps
00:00 Evolution of data technology tools
04:11 Managing tool stack complexity
09:09 Discussion on AI guardrails and future
10:55 Managing MCB server outputs
14:32 Streamlining Data Pipeline Efficiency
18:48 Managing and Deleting Memories
21:12 AI security and virtual employees
27:16 AI transforming jobs and automation
30:43 Impact of AI on IT Industry
32:32 Upgrading legacy systems with AI
37:10 Importance of Data Engineering
39:10 Changing role of data managers
42:45 Home lab challenges and data management

In this episode, hosts Candace Gillhoolley and Frank La Vigne are joined by Neil Katz, Chief Product Officer at Valantor AI—a four-time Emmy winner whose unconventional journey spans from technology startups to award-winning journalism, and now to the forefront of enterprise AI innovation.
Neil shares his unique perspective on the evolution of AI, from the early days of digital design and machine learning, to building large-scale AI and document intelligence platforms for major organizations. The conversation explores the critical challenges of knowledge extraction, document comprehension, and securing sensitive data in today's era of sovereign AI. Together, they uncover the hidden complexities behind Retrieval-Augmented Generation (RAG), discuss the importance of hybrid search strategies, and reflect on where the field is heading as enterprise needs push the boundaries of what AI can do.
Whether you're a data professional, an AI enthusiast, or just curious about how language models are transforming how we understand information, you won’t want to miss this candid and thought-provoking deep dive into the future of AI and data integrity.
Links
Neil on LinkedIn -https://www.linkedin.com/in/neilkatz/
Watch on YouTube -https://www.youtube.com/watch?v=qf8qifz_RL8

Time Stamps
00:00 Early career in tech and journalism
04:01 Early consumer AI experiences
06:49 Early AI and machine learning developments
11:43 Anthropic's new findings on AI models
16:15 Data sovereignty in AI systems
19:27 Implementing open source AI models
22:49 Breaking down documents for models
25:45 Understanding the RAG system process
28:47 Challenges in AI data processing
31:22 Challenges in RAG with Insurance Data
36:35 Understanding and managing data security
39:35 Early days with OpenAI GPT
40:48 Explaining vector and similarity search
46:57 The evolution of computing models
47:29 Computing evolution to cloud and edge

In this episode, Frank sits down with Devansh Devansh, founder and head of AI at Iris, whose journey spans from building a thriving tech community of over 10,000 on Substack to developing advanced legal AI tools that revolutionize how lawyers work through complex reasoning.
The conversation explores Devansh Devanche's unconventional path into AI, his experiences navigating the evolving landscape of machine learning, and the unique challenges of creating transparent, trustworthy agentic systems in legal tech. Along the way, we uncover the story behind his distinctive "chocolate milk cult leader" branding, his philosophy on startup building, and why he believes that innovation in AI is more accessible than it may seem.
Whether you’re a technologist, a lawyer, or just curious about the future of AI, this is an episode packed with insight, optimism, and actionable advice.
Links
Devansh on LinkedIn -https://www.linkedin.com/in/devansh-devansh-516004168/
Devansh on SubStack -https://substack.com/@chocolatemilkcultleader

Time Stamps
00:00 Transitioning to Substack and AI Journey
05:32 Starting to publish research insights
07:37 Connecting with Senior Leaders
13:27 Issues with Legal AI Systems
16:55 Challenges with current AI systems
19:49 Demand for AI in legal and non-legal sectors
23:29 Challenges with AI system state management
24:51 Compounding AI returns over time
30:50 Meeting the CEO of Iris
34:20 Tailoring Startup Strategy to Strengths
36:26 Insights on Cluli's Market Presence
40:27 Opportunities in AI Innovation
42:57 Reflecting on market evolutions

In this episode, the conversation focused on the intersection of data intelligence, artificial intelligence, and philanthropy. A key theme that emerged was the growing importance of data-driven decision making in the nonprofit sector, which, despite representing 5% of the GDP and employing 10% of the American workforce, has lagged behind other industries in the adoption of technology and data practices.
The discussion explored how organizations like Impala are aiming to transform the philanthropic landscape by providing robust data platforms and AI-driven tools to empower both large foundations and small nonprofits. Several points were raised, including the unique challenges philanthropy faces in measuring impact versus the traditional business focus on ROI, the rise of a new generation of data-savvy philanthropists, and how collaborative giving and customized data solutions are shaping a more transparent, effective, and innovative sector.
Tune in as we examine how technology is not just changing the way give, but also who gives, why, and with what outcome—pushing philanthropy into a new age powered by actionable insights and human connection.
Links
Impala -https://impala.digital/

Time Stamps
00:00 Importance of Data and Relationships
03:59 Joining Impala through philanthropy
09:00 Measuring organizational impact
12:15 Engaging younger donors with data
14:38 Impala's role in education analysis
20:24 Empowering small nonprofits with AI
22:50 Impala's AI platform strategy
25:07 Improving investment decisions with AI
28:25 Integrating AI with Data Platforms
32:01 Using AI in philanthropic decisions
34:58 Discussing collaborative giving trends
39:28 Supporting small businesses with tech
42:35 Appreciation and social impact goals