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What Comes Next with Arun

By Arunansu PattanayakTechnology, Business, EntrepreneurshipEnglish

New episode weekly, latest 6 days ago, since Jul 2026

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episodes in the feed
16
From the feed Oct 30
sponsor in the last 90 days
1
From the feed show notes · Oct 30
on air, since Jul 2026
4 months
From the feed Oct 30

About

Most conversations about AI are either too technical for business leaders or too generic to be useful. What Comes Next with Arun fills that gap. Each episode translates real-world data and AI strategy into the language of competitive advantage — drawing on Arun’s 20+ years inside the world’s most complex enterprises, six years as a Microsoft Data & AI Executive, and his experience building Tipsora into a platform serving more than 95,000 professionals worldwide. This is not a podcast about AI tools. It is a podcast about building the organizational intelligence that makes tools matter.

From the show's RSS feed.

Episodes 16 episodes in the feed

  1. The Human Edge: Why AI Makes Team Building Matter More | David Lengyel

    51 min

  2. The Game of Ten: Why High Performers Run on Outdated Code | Steve Barton

    54 min

  3. The One-Man Accelerator: What Startups Actually Need to Scale | Christopher Hussain

    44 min

  4. Fluent in the Tools, Illiterate in the Tradeoffs — Frank Bravo on AI's Real Risk

    36 min

  5. The Trust Layer for AI Agents — Ravi Bijlani, KYXStart.Ai

    48 min

  6. The AI Family Office: Financial Advice for High Earners — with Lord Munjal

    37 min Sponsor: Alpheva

  7. Building an AI-Native Platform to Take On the Bloomberg Terminal — with Aidan McConnell

    48 min

  8. Competitive Intelligence Architecture: The Real Source of AI Advantage

    8 min

  9. Why Your AI Strategy Is Already Obsolete

    8 min

  10. The Technology Was Never the Problem

    7 min

Show 6 older episodes

  1. Future-Proofing Is a Myth. Build Change Fitness Instead

    8 min

  2. More AI Won't Make You More Competitive — Here's What Will

    8 min

  3. The 5 Layers Every AI-Ready Organization Needs (In Order)

    11 min

  4. Why Most AI Investments Fail — Architecture, Not Tools

    13 min

  5. How to Turn Your Data into a Product and a Revenue Stream

    11 min

  6. The Future of Work Is an Architecture Problem, Not a Threat

    11 min

Sponsors

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