Data and AI eXchange (DAX) by Unolabs

Dax By Unolabs

Welcome to Data and AI Exchange (DAX) by UnoLabs – the podcast for bold conversations in AI, data science, and enterprise tech. Hosted by Akshay Raj and Prateek Tandon, we explore the real stories, use cases, and controversies behind AI’s rise — from prompt engineering and agentic AI to ethical dilemmas and automation trends. Expect: – Deep-dive episodes (2x/month) – Expert interviews and hot takes – Enterprise use cases and career insights – Shorts that simplify complex topics

Episodes

  1. Middle Managers Upgrading Themselves with AI Skills | AI Tools for High Performance #ai #skills

    14 AUG

    Middle Managers Upgrading Themselves with AI Skills | AI Tools for High Performance #ai #skills

    #agenticai #manager #podcastIs AI Replacing Middle Managers – or Making Them 10x More Powerful?In this power-packed episode of Data & AI Exchange, we dive deep into the evolving role of middle managers in an AI-first corporate world. Are they being replaced? Or are they becoming the most valuable link between humans and machines?Featuring Sandeep Sudarshan CTO at Capgemini UK, with 30+ years of global experience in digital transformation across six continents, this conversation explores: How AI is shifting the role of managers from supervision to orchestrationTwo game-changing AI modes: Co-Pilot vs Co-ThinkerThe tools (like Copilot, Gemini, etc.) that are revolutionizing daily productivityWhy data literacy, AI ethics, and prompt engineering are must-have skillsHow middle managers can lead AI transformation while supporting their teamsReal-world use cases in sales forecasting and telecom profitabilityThe risk of falling behind without upskilling in AIAnd why AI competency is now tied to promotions and performance reviewsRecommended Book: "Generative AI for Managers – by Capgemini & Harvard Business Review"Whether you’re a manager, tech lead, or aspiring leader, this episode gives you a clear roadmap to thrive with AI, not fear it.00:00 – Is AI replacing middle managers or making them 10x better?00:38 – Guest intro: Sepran, CTO at Capgemini UK01:03 – Role of middle managers in an AI-first world01:56 – Co-Pilot vs. Co-Thinker AI usage03:00 – What leadership expects from managers now04:44 – Tools like Copilot & Gemini transforming workflows06:58 – Does AI reduce brainstorming time?08:05 – Shift from FTE to outcome-based models09:55 – Leading AI change with empathy & communication11:08 – Is AI competency affecting promotions?12:24 – Overuse of ChatGPT in evaluations13:50 – Importance of filtering information15:10 – Prompt engineering & agent-building for managers17:34 – AI in sales forecasting & telecom profitability20:04 – Changing performance metrics with AI21:55 – Risks of not upskilling in AI23:05 – Managers as a bridge between AI tools & strategy24:20 – Key skills for future-ready managers26:05 – Layoffs, effort estimation & AI’s role27:38 – Book rec: Generative AI for Managers28:00 – Final wrap-up & thanks#AI #MiddleManagement #DigitalTransformation #AILeadership #Capgemini #GenerativeAI #Productivity #DataDriven #PromptEngineering #Copilot #WorkplaceAI #AIForManagers #LeadershipDevelopment #FutureOfWork #AIUpskillingAI, Middle Management, Digital Transformation, AI Leadership, Capgemini, Generative AI, Productivity, Data Driven, Prompt Engineering, Copilot, Workplace AI, AI for Managers, Leadership Development, Future of Work, AI Upskilling, AI Tools for Managers, AI Strategy, AI in Business, ChatGPT for Work, Enterprise AI

    28 min
  2. Do we need a Global Rulebook for AI, Before It’s Too Late?

    4 AUG

    Do we need a Global Rulebook for AI, Before It’s Too Late?

    #AI with Tony Moroney, Principal at The Digital Explorer & Global AI StrategistAs AI systems evolve into agentic, decision-making entities, the stakes for responsible governance have never been higher. In this episode of Data & AI Exchange, we speak with Tony Moroney, one of EMEA’s top AI and digital disruption thought leaders, about the urgent need for enterprise-grade AI governance frameworks — before regulation races to catch up.What You’ll Learn:- Why most organizations still lack internal AI governance, despite enterprise deployment- What makes agentic AI different — and dangerous — if left unchecked- How to integrate explainability, traceability, and oversight into AI system design- Why global rulebooks may fail without local culture and sovereignty alignment- What a board-level AI policy should include before it's too late#AICompliance #AILeadership #AgenticAI #ResponsibleAI #TonyMoroney #AIGovernance #EnterpriseAI #AIOrdinate #DataAndAIExchange #AIInTheWorkplace #SwarmAI #AIFrameworks

    36 min
  3. Define AI-Enabled Employee | What AI tools make an Ai-Enabled Employee? #ai #tools #startup #coding

    22 JUL

    Define AI-Enabled Employee | What AI tools make an Ai-Enabled Employee? #ai #tools #startup #coding

    #ai #agenticai #employeeIn today’s fast-changing workplace, one thing is clear: AI isn’t going to replace you—but someone using AI will.In this episode of the Data & AI Exchange podcast, we dive deep into this idea with Saptarshi Nath (fondly called “Saps”), the CEO of Airboxr — a platform that’s redefining how teams work with data and automation.Saps has helped over 40 countries integrate no-code AI workflows, and in this episode, he shares what it truly means to be an AI-enabled employee in 2025, how companies are adapting, and how you can stay relevant as AI reshapes the job landscape.What You'll Learn in This Episode:- What is an AI-enabled professional — and why the definition matters now more than ever.- Why prompt writing is the #1 skill for anyone using AI tools today.- How AI adoption is more about mindset and behavior than just tools.- Real-world examples of how AI is boosting productivity in areas like research, marketing, and content creation.- Why hiring trends are shifting — and how AI proficiency is becoming more important than traditional experience.- Whether you're a marketer, designer, analyst, or business leader, this episode will give you a clear, honest, and practical view of the AI-powered future of work.Tools & Platforms Mentioned:- ChatGPT – General research and ideation- Perplexity – Fact-based AI research assistant- Claude – Preferred by developers for coding tasks- Midjourney & Google Gemini – For visual content generation- N8N – A no-code automation platform with AI integration- Airboxr – AI agent for e-commerce data insights- Replicate.com – Try cutting-edge AI models for sound, video, and more- Notebook LM – Research notebook powered by LLMs00:00 – AI Won’t Replace You, But a Person Using AI Will00:20 – Guest: Saptarshi Nath (Saps), CEO of Airboxr00:39 – Who is an AI-Enabled Employee?01:51 – Misconceptions About AI and LLMs03:25 – Knowing When to Use and Not Use AI04:36 – The “ChatGPT Must Be Right” Problem05:51 – AI as a Work Partner, Not a Competitor06:45 – Why Prompt Quality Matters07:45 – Too Many AI Tools: Where to Begin?08:19 – Getting Started with AI: GPT, Perplexity, Claude09:28 – 3 Tasks to Stop Doing Manually in 202511:01 – Creatives & AI: A Collaborative Future13:05 – Real-World Examples of Productivity Boost with AI14:45 – AI Tools to Try: Replicate, ChatGPT, Perplexity15:56 – AI Agents: Overhyped or Useful?19:23 – From Task Execution to Prompt Thinking20:53 – The Divide Between AI Adopters and Non-Adopters22:52 – How AI is Changing the Hiring Process26:07 – 3 Must-Know AI Tools for Everyone28:02 – Tool Preferences Vary by Role & Use Case29:47 – How to Improve Your Prompt Engineering Skills32:13 – The Ideal AI-Enabled Employee of the Future34:17 – Final Summary and Closing Thoughts#AIEnabledEmployee #FutureOfWork #GenerativeAI #ChatGPT #PromptEngineering #Airboxr #AIProductivity #AIInHiring #NoCodeTools #AIResearch #DataAndAIExchange

    35 min
  4. Vibe-Coding for Enterprise Level Development. Practical scenarios & Uses #ai #automation #facts

    15 JUL

    Vibe-Coding for Enterprise Level Development. Practical scenarios & Uses #ai #automation #facts

    #AI #VibeCoding #CTOInsights #banking #agenticai Can AI write your production code — just from a vague prompt? And more importantly... who’s accountable when it fails? In this episode of Data & AI Exchange by Uno Labs, we sit down with Gajanan Namjoshi, Ex-Global CTO of Core Banking at #HSBC, to explore one of the hottest — and most controversial — trends in enterprise tech: #Vibe-Coding — where developers (and even non-engineers) generate working code through AI prompts instead of traditional coding. We ask the hard questions: - Is vibe-coding helping or hurting compliance? - What governance is needed for AI-generated code in banking? - Should non-engineers be allowed to deploy AI-generated code? - How do you ensure accountability, security, and skill integrity in this new world? Episode Breakdown - 00:00 - People have stopped Coding 01:24 - Prompts can be very Vague 03:28 - Regulate Vibe-coding in Banking 04:35 - Has the AI used Coding Standards? 06:15 - How to ensure code is compliant? 07:48 - Leading Vibe-coding Teams 08:38 - Non-engineers deploying code? 10:03 - Domain Experience is important 12:07 - AI in Credit Risk Analysis 13:38 - AI in Fraud Detection 14:34 - Governance model for vibe-coding 16:20 - AI Vibe-coding in Agile Project 17:35 - AI development on two tracks 19:06 - Vibe-coding should be controlled 20:20 - Responsibility & Accountability 22:21 - Is POC cycle becoming longer with AI? 23:52 - Garbage in Garbage Out with AI 24:24 - AI Vibe-coding a Nightmare for a CTO? 25:58 - Skillset for Career in Core Banking 27:31 - Should know the Functionality 28:46 - Best phase of IT journey? 30:09 - Manual Testing has its own advantages 32:11 - Summary of Podcast session. Whether you’re a CTO, engineer, product head, or AI enthusiast, this episode will help you rethink how code, compliance, and leadership work in the AI era. Watch now – and decide if Vibe-Coding is the future of enterprise tech or a disaster waiting to happen. #AgenticAI #AICoding #BankingTech #UnoLabs #DataAndAIExchange #PromptEngineering #TechPodcast #EnterpriseAI #CTOLeadership #AICompliance #GajananNamjoshi #HSBC

    33 min
  5. One-person Teams with AI-Agents. New AI Trend in Global Tech Companies in 2025

    10 JUL

    One-person Teams with AI-Agents. New AI Trend in Global Tech Companies in 2025

    #AIAgents #AgenticAI #aiagents Can one person now do the work of five — thanks to AI agents? Welcome to a new era of productivity where developers, engineers, and analysts are becoming AI-powered solo operators inside global tech companies.Understanding AI Agents doesn't require a technical background. The AI evolution has been from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents. Today we discuss practical, real-world examples & use-cases.Learning the key differences between AI technologies and discover how concepts like RAG and ReAct actually work is a required for regular AI users who want to understand how these emerging technologies will impact their daily lives.In this episode of Data & AI Exchange by Unolabs, we sit down with Anirban Nandi, Head of AI at Rakuten India, to explore the growing trend of One-Person Teams with AI Agents — and why 2025 might be the breakout year for agentic AI in enterprise environments.Key Themes you'll learn:- Agentic AI- One-person teams- AI in software development- Future of work in tech- CTO decision-making in AI adoption00:00 - All the AI Hype in last Year00:53 - Are AI Agents here to Stay?02:15 - Different types of AI Agents03:34 - Budgeting for AI Agent Infrastructure04:38 - What actually is an AI Agent?05:30 - AI agents different from RPA?06:43 - AI Agents Use cases in IT Industry07:55 - Accuracy level of AI Agents?09:05 - Business Impact of AI Agentic Products10:18 - One-Employee Teams with AI Agents11:19 - Junior Developer uses AI Agents12:38 - Capability of one-person has Multiplied13:40 - How Code Quality is Maintained?15:15 - New Roles emerging from Agentic AI16:51 - Agent Curation will be a new Role?18:30 - Is this a Year of AI Agents?20:01 - Practical Use Cases of AI Agents21:16 - Practical Efficiency of AI Agents22:11 - Would you Hire an AI Agent?23:26 - Example of one-person team with AI Agents24:40 - How do you set the Accountability?26:03 - Skillset of Agentic AI Employee?27:29 - Thanks to Anirban Nandi for insightsSubscribe for more episodes from Data & AI Exchange, where we decode the practical impact of AI in modern business and tech leadership.AI agents, agentic AI, one person team AI, solo operator AI, AI productivity tools, enterprise AI, AI in tech companies, 2025 tech trends, AI developer tools, AI in software engineering, future of work AI, data and AI exchange, Uno Labs, Anirban Nandi, AI podcast 2025, AI powered employees, one person startup, AI agents in IT, RPA vs AI agents, AI infrastructure, tech podcast India, global tech trends 2025, AI CTO insights, automation in tech teams, AI skillsets for developers#AI #AIAgents #AgenticAI #OnePersonTeam #FutureOfWork #TechLeadership #SoloOperator #EnterpriseAI #DataAndAIExchange #UnoLabs #podcast

    28 min

  6. 12 JUN

    The Agentic AI Future: Transforming Work and Organizations

    The Agentic AI Future: Transforming Work and Organizations Agentic AI represents a rapid evolution beyond current generative AI, creating autonomous agents that execute tasks, apply judgment, and learn independently. This transformation is reshaping both human roles and organizational structures. Human Role Evolution:Work will shift as AI becomes a "parallel workforce" alongside humans. AI agents will automate end-to-end processes while augmenting human capabilities, making work "better, faster, more efficient." Rather than just replacing jobs, companies may use AI as "digital labor" to boost productivity while maintaining headcount. Essential human skills will focus on empathy, emotional intelligence, and fostering connections—areas where the "human touch" remains crucial. New roles like prompt engineers and content specialists will emerge to teach, train, and tune AI agents. Organizations will need large-scale reskilling programs to repurpose workers whose tasks become automated. A key challenge is earning employee trust. While newer workers embrace AI's ease of use, tenured employees may resist, fearing replacement or distrusting the "AI black box." Clear leadership mandates and role modeling are essential for adoption. Organizational Structure Changes:Traditional org charts will evolve to include both human employees and AI agents, creating truly hybrid workforces. Some companies already measure capacity in both full-time employees (FTEs) and agent deployments. "Zero-FTE departments" may emerge where agents handle entire functions with humans in oversight roles. The focus shifts from "org charts" to "work charts" emphasizing tasks over hierarchy. Business functions will define AI capacity needs, IT will develop agentic capabilities (potentially becoming "HR for AI agents"), and HR will lead change management, reskilling, and ensuring AI aligns with company values. Leaders must evaluate joint human-AI performance and design flexible operating models to adapt to rapidly changing AI technology. Despite security and usability challenges, widespread adoption is expected within 18-24 months, promising unprecedented personalization at scale and freeing humans for more fulfilling, creative work emphasizing human connection and empathy.

    20 min
  • 6 Episodes

About

Welcome to Data and AI Exchange (DAX) by UnoLabs – the podcast for bold conversations in AI, data science, and enterprise tech. Hosted by Akshay Raj and Prateek Tandon, we explore the real stories, use cases, and controversies behind AI’s rise — from prompt engineering and agentic AI to ethical dilemmas and automation trends. Expect: – Deep-dive episodes (2x/month) – Expert interviews and hot takes – Enterprise use cases and career insights – Shorts that simplify complex topics

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