Loading...

PODCAST

Engineering the Intelligent Enterprise

Industrial technology explained through practical engineering and business decisions. Hosted by Prasad Bhonde, this podcast examines AI agents, automation, cybersecurity, manufacturing systems, operational efficiency and emerging technologies. Each episode turns a complex technical development into clear lessons for engineers, technology leaders, founders and operations professionals. Follow the show for grounded analysis of how intelligent systems are designed, governed and applied in real

technology

All Episodes

00:43:38

Your attribution model may not be broken | It may...

Engineering the Intelligent Enterprise ·

2026/04/21

Your attribution model may not be broken. It may just be built for a cleaner internet than the one we have now.═════════════════════This episode covers why privacy changes, consent bias, and AI search are making traditional attribution less representative, and how that leads teams to over-fund visible channels while starving the work that actually creates demand.═════════════════════We get into a more durable approach: first-party lifecycle data, holdout tests, cohort analysis, buyer-reported

en

00:41:47

AI Dependency, Margin Pressure, and the Risk Nobody...

Engineering the Intelligent Enterprise ·

2026/04/20

Most AI teams are watching hallucinations while vendor lock-in slips into the P&L unnoticed.═════════════════════This episode looks at how single-provider LLM dependencies create real financial exposure through outages, quota shifts, and pricing changes. ═════════════════════We cover why traditional cloud governance misses AI lock-in, where the real concentration risk sits, and what a practical response looks like: workload tiering, dependency registers, routing layers, and model-agnostic

en

00:39:19

The Portfolio Problem Nobody Wealthy Wants to Admit

Engineering the Intelligent Enterprise ·

2026/04/19

A lot of wealthy investors are still using bull-market assumptions for portfolios that are anything but forgiving.In this episode, we look at how concentrated positions and unrealistic return expectations create sequence-of-returns risk for HNW investors, early retirees, and family offices. The real issue is not just volatility. It is what happens when one bad stretch forces asset sales, changes spending, or removes optionality.We cover:why concentration and sequence risk compoundhow a portfolio can

en

00:45:02

ESG reporting is no longer soft narrative. If the...

Engineering the Intelligent Enterprise ·

2026/04/18

In this episode, we unpack how SEBI’s BRSR and BRSR Core are turning ESG disclosures into legally consequential representations, and why that changes the risk for independent directors, audit committees, and boards.We cover:why “diligence” is now the real standardwhere boards are still exposedhow to treat ESG metrics like assurable datathe controls, ownership, and review structures that should already be in placeone practical 48-hour action to find weak points before the next reporting cycleThis

en

01:00:24

The AI Feature Nobody Reviewed

Engineering the Intelligent Enterprise ·

2026/04/17

Your AI policy may be tighter than most — and still miss the real loophole.═════════════════════This episode looks at shadow AI inside everyday SaaS tools: document summaries, AI search, support drafting, CRM email assist, and the quiet data flows they create. ═════════════════════We cover why governance often misses embedded AI, what an AI capability register looks like in practice, and the first five systems to review if you want useful progress in the next 48 hours.═════════════════════Because

en

00:40:24

One Vendor Outage Can Freeze the Business

Engineering the Intelligent Enterprise ·

2026/04/16

Most companies say they care about resilience while depending on vendors they couldn’t survive without for 72 hours.In this episode, we unpack why third-party risk is no longer just a procurement, security, or compliance issue. Cloud concentration, SaaS consolidation, shared identity layers, and external AI services mean one vendor outage can disrupt payroll, customer support, finance, logistics, and internal access at the same time.We cover a simple way to start: map your top vendors by business

en

00:35:40

Your AI Copilot Might Be Your Team’s Slowest Developer

Engineering the Intelligent Enterprise ·

2026/04/15

AI didn’t fail because developers refused to use it. It’s failing when “almost-right” code creates more debugging and tool sprawl creates more context switching.In this episode, we unpack what the latest developer survey data signals for engineering leaders: high AI adoption, low trust, rising rework, and why more tools do not automatically mean more productivity.We cover:- how “almost-right” AI slows teams down- why tool sprawl is now a DevEx problem- what a guard-railed AI policy looks like- what

en

00:33:58

Ranking #1 and Getting Ignored: How AI Search Broke...

Engineering the Intelligent Enterprise ·

2026/04/14

Your #1 Google ranking might already be losing its value—and most marketers can't see it yet.In this episode, we dig into how AI-powered search is quietly dismantling traditional organic demand capture. AI overviews, ChatGPT, Perplexity, and Bing Copilot are answering buyer questions before the click ever happens—cutting traffic to top-ranked pages by over a third.We cover:— Why impressions are rising while clicks and pipeline are falling?— What Generative Engine Optimisation (GEO) actually

en

00:22:48

Hallucinated Dashboards — When AI Gives You Fake Data...

Engineering the Intelligent Enterprise ·

2026/04/13

Marketers are asking ChatGPT for keyword volumes and traffic numbers. They're getting back specific, confident figures. And they're building real strategy on data that was entirely fabricated.In this episode, we break down:— Why LLMs generate plausible-sounding but invented analytics numbers— How "hallucinated dashboards" became the new vanity metrics— The clean separation between using AI for insight vs. using it as a data source— A practical verification stack: real tools for

en

00:53:39

Why Your AI Lies in Production

Engineering the Intelligent Enterprise ·

2026/04/12

Most AI failures don’t crash systems. They distort decisions.This episode breaks down why LLM-powered products fail after deployment. The issue is not model quality. It is system design.Topics covered:Why probabilistic models fail in deterministic workflowsThe missing layer between prototype and productionHow retrieval, tools, and evaluation change outcomesThe cost problem no one models earlyWhat reliable AI systems actually look likeThis is a shift from building AI features to operating AI

en

00:45:59

Why Your AI Bill Is Out of Control

Engineering the Intelligent Enterprise ·

2026/04/11

Most teams think their AI costs are a scaling problem.They are not.They are a control problem.This episode breaks down how GenAI changed cloud economics:• Why token-based pricing creates invisible spikes• Why experiments behave like production• Why multi-cloud setups amplify wasteThen shifts to execution:• Cost per unit metrics that matter• Policy-driven controls that reduce waste• Ownership frameworks that enforce accountabilityThe core idea:AI infrastructure is not IT overhead.It is a variable

en

00:16:57

Why Most AI Projects Never Matter

Engineering the Intelligent Enterprise ·

2026/04/10

AI pilots are succeeding.So why does nothing change?In this episode, we break down the real constraint behind enterprise AI:Not models. Not tools.Systems.You’ll learn:• Why most AI projects never reach production value• The structural failures inside enterprise adoption• A practical framework to move from pilots to outcomes• A 48-hour audit that resets your AI strategyIf your AI is not changing how work gets done, it is not creating leverage.═════════════════════Stay tuned. Regards, Top Voice.Maido

en

00:34:08

The New Risk Variable CFOs Can’t Ignore

Engineering the Intelligent Enterprise ·

2026/04/09

Carbon Risk Is Now a Balance Sheet VariableCarbon exposure has moved from reporting to pricing.═════════════════════In this episode, the focus is on how lenders, insurers, and markets are integrating climate risk into capital decisions.═════════════════════The discussion breaks down:• Why transition plans now affect borrowing cost• How carbon exposure changes risk perception• What separates companies that access cheaper capital from those that do notThis is not about sustainability messaging.It is

en

00:07:29

Why Your Data-Driven Marketing Isn’t Working

Engineering the Intelligent Enterprise ·

2026/04/08

Most teams believe more data leads to better marketing.It doesn’t.This episode breaks down why first-party data alone is not enough, and how over-reliance on automation creates volume without meaning.Topics covered:Why personalisation often feels genericThe gap between data and understandingHow to build narrative structures for each audience segmentThe correct role of automation in modern marketingIf your campaigns are technically sound but underperforming, this is the missing

en

00:44:03

Why Your Team Is Slowing Down (And It’s Not What You...

Engineering the Intelligent Enterprise ·

2026/04/07

Most teams think they have a motivation problem.They have a system problem.This episode breaks down:Why stress reduces output by up to 20%How fragmented data hides real work patternsWhat changes when you connect people analytics with AIFocus: redesigning work, not fixing people.═════════════════════Stay tuned. Regards, Top Voice.Maido guys? 👶🏻🧑🏻‍🦱👩🏻‍🦳🧔🏻‍♂️Kon'nichiwa min'na 😃😄😁 Watashi wa genkidesu 😎🤩🤟🙌 Wie Geht's guys? 👩🏻‍🦱👱🏻‍♂️🧔🏻👳🏻‍♂️ Mir geht's

en

00:42:08

Your AI Is Only As Smart As Your Data

Engineering the Intelligent Enterprise ·

2026/04/06

Most AI conversations focus on models.The failure point is earlier.This episode breaks down:Why third-party identity is collapsingHow fragmented data destroys AI outputsWhat “real-time identity” actually meansThe system design shift required for 2026If your data layer is weak, AI scales mistakes.═════════════════════Stay tuned. Regards, Top Voice.Maido guys? 👶🏻🧑🏻‍🦱👩🏻‍🦳🧔🏻‍♂️Kon'nichiwa min'na 😃😄😁 Watashi wa genkidesu 😎🤩🤟🙌 Wie Geht's guys? 👩🏻‍🦱👱🏻‍♂️🧔🏻👳🏻‍♂️ Mir

en

00:36:26

Ransomware moved from the server room to the boardroom

Engineering the Intelligent Enterprise ·

2026/04/05

Ransomware has shifted from a technical issue to a financial event.This episode breaks down:Why breach costs are approaching $5MHow ransomware groups scaled using RaaSWhy detection-heavy strategies fail in real incidentsCore focus:How to run a Ransomware Resilience SprintYou will learn:How to test recovery under real conditionsHow leadership decisions impact outcomesWhere most organizations remain exposedSingle takeaway:Recovery speed determines business survival.

en

00:56:35

India’s startup funding has not disappeared | It has...

Engineering the Intelligent Enterprise ·

2026/04/04

India’s startup funding has not disappeared. It has become selective.This episode breaks down what changed after the 2021 peak:– Why fewer deals are getting funded– How investor expectations have shifted toward profitability– The rise of Tier-2/3 startup ecosystems– Why policy-linked sectors like ONDC and deep-tech are gaining attentionA working checklist for angels, family offices, and CVCs:- Rebuild sector focus- Change sourcing geography- Track policy signals -Tighten investment filtersThis is

en

00:40:37

Beyond the Spike: Transforming Events into Pipeline...

Engineering the Intelligent Enterprise ·

2026/04/03

Most events create a spike.Then disappear.This episode breaks down how to turn events into continuous pipeline engines.Instead of optimising for attendance, shift toward movement:from sign-ups → to conversations → to deals.Learn how to:• Design events as content systems• Use LinkedIn for sustained distribution• Extend event lifespan with clips and follow-ups• Use AI for speed without losing human judgmentIf your events are not generating pipeline, they are underperforming.═════════════════════ Stay

en

00:52:30

The Next Phase of AI Adoption

Engineering the Intelligent Enterprise ·

2026/04/02

AI is no longer just a way to reduce cost.In 2026, the sharper move is to turn AI into revenue: premium features, copilots, upsells, and usage-based services that customers actually pay for.This episode breaks down the shift from internal efficiency to customer-facing monetisation, and why product teams should stop asking where AI can save money and start asking where it can change the invoice.═════════════════════ Stay tuned. Regards, Top Voice.Maido guys? 👶🏻🧑🏻‍🦱👩🏻‍🦳🧔🏻‍♂️Kon'nichiwa

en

247 results

Similar Podcasts

Lead With AI

Tamara Nall

The Paul Barron Crypto Show

Paul Barron Network

Double Tap

Steven Scott, Shaun Preece, Steven...

The Interface

BBC

The Lunduke Journal of Technology

Bryan Lunduke