Sandiip Bansal
[email protected]

Warfare in the Age of Drones and Cyber Threats

I remember when war was something we imagined through stories of tanks, uniforms, and frontline courage. But today, when I hear about conflict, I picture silent machines in the sky, blinking servers in control rooms, and commands being typed rather than shouted. The face of warfare has changed, and with operations like Operation Sindoor, this shift feels closer than ever.

Earlier this year, drones were intercepted in Jammu carrying weapons and narcotics across the border. Just days ago, authorities reported drone activity near sensitive installations in Punjab. These incidents are not isolated. They are reminders that war no longer always comes with noise—it often arrives quietly, through signals and networks.

Drones today are not just flying cameras. They are eyes, messengers, and in some cases, weapons. During the Ukraine conflict, low-cost drones were used to damage critical infrastructure. Even commercial drones were modified for military use. In India, we are beginning to see similar patterns emerge along our borders. Drones are used for surveillance, dropping payloads, and sending coded messages. They bring efficiency but also introduce a new layer of vulnerability.

I used to wonder why we were told to switch off lights during alerts. Now I understand it is not just about visibility. It is about electromagnetic silence, making it harder for machines to locate targets. One light left on could mean a traceable signal. One mistake could mean disaster.

This brings me to the invisible front—the cyber realm. Last year, India faced multiple cyber intrusion attempts on power grids and railway systems, believed to be orchestrated by foreign actors. These are quiet attacks, but their impact could be catastrophic. Data is now a weapon, and our defense must include digital warriors who understand how to protect it.

The changing face of warfare has shown us that conflicts today don’t just involve soldiers and borders—they affect ordinary people, everyday systems, and the very backbone of a nation’s infrastructure. One thing I’ve come to realise from observing recent wars is how vital civilian preparedness has become; in several countries, civilians are now being trained to respond to drone threats and cyber disruptions. I believe it’s time we took similar steps. We need dedicated programmes to equip key sectors—especially those linked to infrastructure and logistics—with the knowledge to detect and report suspicious activity. But awareness alone won’t suffice. We must invest in proper surveillance systems, well-positioned monitoring units, and dependable cybersecurity frameworks supported by the right kind of software. These tools act as our modern-day sentinels, and to build them, we need more than intent—we need a clear budget and strategic backing. Without proper funding, even the best ideas can’t take flight. More than ever, what we need is the determination to do better, expert minds to chart the way forward, and the right equipment to safeguard our future. Strength still matters, but now it must be matched by intelligence, innovation, and a national will to adapt.

We need regular security drills, cybersecurity audits, and a national mindset shift. Understanding technology is no longer optional. It is critical. Field Marshal Sam Manekshaw once said, “India cannot be defeated in a war. We may lose battles, but we will never lose wars.” His words still ring true, but the nature of battle has evolved. Our response must evolve with it. We cannot only rely on strength. We must rely on knowledge, readiness, and the people who defend not just borders but also firewalls.

From Insights to Action: What 200+ CXOs Told Us About AI

Industry leaders speak out — the reality behind the rise of AI in the enterprise.


Introduction

A few weeks ago, I asked a simple but direct question to CXOs across sectors: “What’s your real take on AI inside your organization?” The response was overwhelming. 200+ leaders — from pharma to BFSI, education to manufacturing — took two minutes to share real-world perspectives on how AI is reshaping their work.

This newsletter is a continuation of our earlier post: “What do a #Pharma CEO, an #Edtech Director, and a #BFSI Strategist have in common?” They’re all investing in AI — but with caution and context.

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Key Findings

1. AI Adoption is Widespread, But Not Equal Most CXOs confirmed implementing AI in the past 12–18 months. Common application areas include:

  • Customer support automation
  • Internal workflow enhancements
  • Sales & lead generation
  • Cybersecurity & risk management
  • Data analytics acceleration

Yet, impact varies. Some leaders report tangible ROI; others are still fine-tuning their strategies.

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2. Top Barriers: It’s Not the Tech — It’s the Ecosystem Three issues rose to the top:

  • Legacy integration challenges
  • Unclear or inconsistent ROI measurement
  • Concerns around data privacy and compliance

As one respondent said: “It’s not that AI doesn’t work. It’s that our systems and teams aren’t ready to work with it.”

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3. The AI Misconception: Instant Results Leaders noted a persistent myth — that AI delivers quick, automatic value. In truth:

  • It’s misunderstood as a silver bullet or a job eliminator.
  • It requires context, planning, and alignment to business goals.
  • It’s a tool — powerful, but not autonomous.

4. What Sets the Leaders Apart? Those seeing the most value from AI share a mindset:

  • Clarity in success metrics
  • Human-centric implementation
  • Strategic alignment with business priorities

As one CXO framed it: “It’s not how much AI you use. It’s how well it integrates with your thinking.”


CXO Voices: Real Leaders, Real Perspectives

These leaders kindly allowed their names to be quoted:

Their insights echo a shared sentiment: AI must be adopted with strategy, responsibility, and realism.


📌 Takeaways for Leadership Teams

  • Don’t rush AI. Plan with clear ROI goals.
  • Invest in system readiness and people readiness.
  • Keep AI human-aligned. It’s a multiplier, not a replacement.

Interested in the full Executive Brief? We’ll be publishing it soon. If you’re navigating similar challenges or want to contribute your voice, let’s connect.

From 5AM Newspaper Scramble to Instant WhatsApp Downloads: A Story of Change

Some changes are so profound, they quietly redefine everything we know. The Internet, the World Wide Web, and now, Artificial Intelligence — three forces that have not just connected the world, but have changed the way we live, learn, and dream.

I still remember the days when getting our exam results was a race against time. At five in the morning, we’d rush to the local newspaper stand, scanning hurriedly through pages, names, roll numbers — hearts pounding with anticipation. It wasn’t just about the results; it was a ritual, a shared memory stitched into our youth.

Then came the early 2000s. The Internet and the World Wide Web began to reshape even the smallest experiences. Suddenly, results were available online — although the websites struggled under heavy traffic and the connections were painfully slow. Still, students would gather around my Institution, eyes wide with hope. Hours were spent refreshing pages, celebrating victories, consoling each other’s setbacks. I never charged a single student on result day. Watching them smile, witnessing dreams inch closer to reality — that was its own reward.

Fast Forward today, Students are getting results directly on their Student Portal, WhatsApp. Without rushing to stores or centres, struggling web portals. The Results are delivered on their Registered Email and Mobile Number. The Experience is changing with new ways of technology automation.


The New Mission: Building Seamless Experiences for Students

Fast forward to today. When I took up a responsible position at a leading educational institution, a question stayed with me: How can we make every student’s journey smoother, warmer, more memorable?

Technology was the answer. But only if used with empathy.

We introduced automation from onboarding to offboarding — ensuring students no longer had to rush from one office to another, burdened with paperwork and uncertainty.

1. Admission Onboarding: Turning Chaos into Comfort

Imagine thousands of students arriving with their parents in July, bags heavy with dreams. Our institution now has a dedicated onboarding team to guide students through their classes, hostels, departments — every touchpoint thoughtfully organized.

But there were still gaps. Students had to visit departments just to get their portal login credentials. They had to fill manual hostel forms separately, despite having provided the same information earlier.

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Image Source: https://www.hindustantimes.com/education/10-types-of-students-you-meet-during-du-admissions/story-sFNd7x4668aa1iUzg81u8I.html

In today’s world, this is simply unacceptable.

We realized:

  • Why not automate login credential delivery through registered email IDs?
  • Why not integrate hostel registration within the main admission form, eliminating duplication and errors?

Students today expect efficiency — and institutions must rise to meet that expectation.


2. A Farewell to Remember: AI at Convocation

Your last memory at college should be joyful, not stressful.

At last year’s convocation, we deployed an AI-powered SaaS application that allowed students to download their professional photographs instantly. A simple QR code scan — and their proud moments were delivered straight to their WhatsApp. No waiting, no pushing through crowds, no disappointment.

It wasn’t just technology. It was dignity. It was respect for their journey.

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Data Source: Premagic

Key Takeaways for Educational Leaders

  • Empathize with Student Journeys: Technology should serve emotions, not complicate them.
  • Automate Thoughtfully: Every repetitive process is an opportunity for simplicity.
  • Invest in Lasting Memories: Moments like onboarding and convocation are not administrative tasks; they are memories in the making.

🌟 A Call to Educational Institutions

The students of today are the leaders of tomorrow. Their first interaction with your institution should feel like a welcome, not a test of endurance.

Let us build institutions where technology meets humanity, where automation amplifies dreams, and where every student feels — from day one to graduation day — that their journey truly matters.

If you are passionate about transforming the student experience, let’s connect. Let’s reimagine education — one thoughtful innovation at a time.

GCCs in India: $105B Dream or a Disguised Hiring Crisis?

Everyone’s bullish on GCCs.

India’s projected to be home to 1,900+ Global Capability Centers (GCCs) by 2025.

And with that, comes the $105B tag everyone’s talking about.

But here’s the second headline no one’s printing:

AI is already automating the same jobs GCCs created.

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But Wait—What’s a GCC?

GCCs (Global Capability Centers) are offshore hubs set up by global companies—think Google, PepsiCo, JPMC—to handle their operations, tech, finance, analytics, HR, etc. from India.

Why India?

  • Cost-effective talent
  • Skilled workforce
  • Strong digital infrastructure

GCCs have now become mini global HQs, not just back offices.

What’s Really Happening???

In the last 6 years, GCCs have added 600,000+ jobs in India.

Roles in finance ops, HR, customer success, analytics, and engineering saw rapid hiring.

India became the go-to destination for global cost-effective scale.

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Chennai- the Detroit of India
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NCR- Business Innovation hub
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Mumbai- Financial Capital Pune – Automotive excellence hub Of India
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Hyderabad – Specialised Tech Powerhouse
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Bangalore – GCC Capital of India

But now?

AI is moving faster than our talent is upskilling.

The same Excel, PowerPoint, and SQL jobs that GCCs hired for are the first in line for automation.

The Gap Is Real!!!

Most of the talent entering GCCs is still:

  • Following SOPs
  • Doing manual reconciliations
  • Cleaning up dashboards

And that’s exactly what GenAI tools are learning to do better.

So the question isn’t “Will GCCs create jobs?”

It’s:

What kind of jobs will they still need humans for?

What This Means for You?

  • AI, Data & Analytics – GCCs are going deep into AI, machine learning, data science, and advanced analytics. If you’re someone who gets excited about predictive models, data storytelling, or training neural networks, this space is calling your name. Think of it as moving from coding scripts to building smart systems that learn and evolve.
  • Cybersecurity – With cyber threats becoming sneakier than ever, GCCs are investing big in cybersecurity. From ethical hackers to threat hunters, there’s a whole new wave of roles focused on keeping digital assets safe. It’s like becoming a secret agent, but in the cloud.
  • Cloud & DevOps – Cloud is no longer a buzzword – it’s the backbone. GCCs are setting up centers of excellence for cloud infrastructure, hybrid systems, and continuous deployment pipelines. DevOps engineers and cloud architects are basically the new rockstars.
  • Product Engineering – Forget being the support guy – now you get to be the creator. GCCs are starting to own entire product life cycles, from ideation to delivery. Designers, UI/UX pros, full-stack developers – this is your playground.
  • ESG & Sustainability – Yep, even GCCs are going green. They’re hiring people to help measure carbon footprints, build sustainable tech solutions, and push ESG (Environmental, Social, and Governance) compliance. It’s meaningful work with real-world impact.
  • GenAI & Automation – GCCs are diving head-first into Generative AI. Roles in prompt engineering, AI ethics, automation architecture, and conversational AI are picking up fast. If you’re a ChatGPT fan (wink wink), there’s a whole career path waiting.
  • Talent & Culture – HR is getting a serious glow-up. GCCs need people to design hybrid work models, drive DEI initiatives, and build killer employee experiences. It’s not just admin anymore – it’s strategy.

So what’s the bottom line? If you thought GCC jobs were all about spreadsheets and night shifts — think again. They’re now at the cutting edge of tech, innovation, and global transformation. Whether you’re a coder, a data nerd, a designer, or just someone who wants to be part of something big — there’s a place for you in the new GCC wave.

Final Word

India’s GCC growth is real.

But so is the transformation it demands.

$105B will come—if the talent can keep up.

Why Digital Transformations Fail? (Even with the best tools in place)

A perspective shaped from the ground over 20+ years.

A few years ago, I worked with a large, fast-growing Higher Education group.

They had everything you’d expect from a modern enterprise — a cloud-based Solution, a robust CRM, an AI layer for engagement, and even a new ERP in the works.

But despite having all the right pieces, nothing was working smoothly.

Student records were duplicated across systems

Analytics teams were spending more time cleaning data than generating insights

Their IT costs were spiraling with no measurable outcomes

They had the tech.

But not the #architecture.


What They Didn’t Have? Enterprise Architecture.

Here’s the truth:

Most enterprises are implementing technology without blueprints.

They’re building extensions, not ecosystems.

And the cracks show up when it’s time to scale.

This Institution had made significant digital investments — but each team worked in silos, processes overlapped, and their systems didn’t speak the same language.


So, What Changed?

We started with a clear EA approach — nothing heavy, just fundamentals done right:

Mapped their application landscape end-to-end

Defined how data should flow between systems

Created a strategic integration roadmap using right Framework

Linked every tech initiative to a business objective

Within 9 months:

✔️ IT incident volume dropped by 30%

✔️ Support costs were down 25%

✔️ Three new applications went live with no downtime

✔️ For the first time, their leadership had a single view of the truth


EA Is the Missing Link in Most Digital Transformation Projects

Now zoom out beyond this one institution.

Across industries — from BFSI to edtech to e-governance — this story repeats itself.

Technology is easy to buy.

But Enterprise Architecture is what helps you make it work together.

EA is not documentation. It’s not bureaucracy.

It’s the translation layer between your vision and your systems.

In most boardrooms, architecture never comes up.

But it should.

Because when you skip EA:

You duplicate costs

You delay change

You introduce risk

It’s like constructing a multi-story building without a structural plan. It may stand — but not for long.


Here’s what EA enables, and how it applies in real-life transformation:

→ Aligns ERP with real-world workflows, avoiding delays and duplication

→ Connects HR systems to business goals and lifecycle planning

→ Defines roles and SLAs across IT and business, reducing downtime

→ Centralizes governance, improves data quality, and enables analytics

→ Integrates security into architecture, not as an afterthought

→ Makes your move to cloud strategic, not just technical


Why You Shouldn’t Ignore This

In my experience, fewer than 25% of organizations have adopted Enterprise Architecture seriously.

The rest?

Rebuild systems every 2–3 years

Spend twice on tech that doesn’t integrate

Struggle to onboard new capabilities without disrupting old ones


A Simple Analogy

Would you ever build a hospital without architectural drawings?

Would you keep adding new wings, floors, and electricals without a structural plan?

That’s exactly what many digital teams do when they add new systems without a foundational EA in place.

Eventually, something breaks.

And fixing it later costs 10x more than planning it early.


Final Word

Enterprise Architecture isn’t a “tech thing.”

It’s a business enabler.

Whether you’re in healthcare, SaaS, education, or the public sector – EA gives you control in a landscape where complexity is the default.

Digital transformation isn’t just about going faster.

It’s about ensuring the road doesn’t collapse under your speed.

Isn’t it? Share your thoughts…

Your ERP won’t fail because of the software.

Your ERP won’t fail because of the software.

It will fail because you picked the wrong partner to implement it.

In the age of digital transformation, technology is no longer just a back-office function—it’s the backbone of business strategy. Whether you’re implementing an ERP, revamping your CRM, or launching a full-scale HCM upgrade, success hinges on one critical decision: choosing the right tech vendor.

Yet, this is where many organizations falter.

Time and again, I’ve seen most companies rush through vendor selection, swayed by flashy demos, big-brand logos, or the lowest quote. Months later, they’re stuck with a project that’s off-track, over budget, and under-delivering. The common denominator? They didn’t ask the right questions before signing the contract.

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Photo Credit: Zumen.coom

So, how do you avoid becoming another cautionary tale?

Start with this list of 10 must-ask questions that will give you deeper insight into your prospective partner’s capability, culture, and credibility.


  1. Can you provide examples of similar projects you’ve successfully delivered in our industry? A vendor with real-world experience in your domain won’t just understand your business—they’ll anticipate challenges and propose smarter solutions. Ask for case studies, Previous Letter of Intent without valuation and reference contacts. Specifics matter.
  2. What is your historical success rate with projects of similar size and scope? Past performance is the best predictor of delivery discipline. Look for data: on-time delivery, budget adherence, business impact.
  3. How do you manage SLAs, and what do your real-world SLA metrics look like? Anyone can promise service levels. Few can prove consistency. Request real SLA performance reports from current or past clients.
  4. What are your average response and resolution times during critical incidents? Uptime is non-negotiable. Delays during outages cost revenue—and trust. Ask them to walk you through a real incident response timeline.
  5. What’s your financial position? How do you ensure continuity during market volatility? You’re not just buying a service. You’re entering a long-term relationship. You need a stable partner. Review financials. Ask about contingency planning.
  6. How involved is your executive leadership when critical projects hit roadblocks? You want more than a vendor. You want accountability at the top. Ask to meet the leadership team during due diligence.
  7. Can we speak directly to 2–3 clients from similar industries? Reference checks are your best safety net. Prepare your own reference call questions. Don’t rely only on scripted success stories.
  8. What’s your roadmap over the next 1–3 years, and how will it evolve with our business? A capable vendor doesn’t just solve for today—they scale with you. Look for direction in AI, integration, automation, and vertical-specific innovations.
  9. How do you manage data privacy, compliance, and cybersecurity? This is no longer a checkbox—it’s a board-level concern. Look for ISO certifications, clear governance frameworks, and strong security leadership.
  10. How do you define “partnership”? Are you a vendor, an advisor, or a collaborator? Cultural alignment matters more than you think. Are they delivering a project—or co-owning an outcome? The best vendors sound like internal stakeholders.

Final Word

A tech vendor can either be your biggest asset or your most expensive lesson.

Choose one that understands your business, not just your brief.

Someone who shows up when things go wrong.

Who solves alongside you—not just bills you.

Because the questions you ask today will determine the outcomes you see a year from now.

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Photo by fauxels, Pexels.com

📥 Want a downloadable checklist version of these 10 questions for your next vendor evaluation? Just say the word—I’ve got you covered.

The Real Reason Your Company’s Still ‘Going Digital’ in 2025…

Let me say it as simply as I can:

Transformation is not your problem. Velocity is.

Every leader I talk to says the same thing:

“We have a digital roadmap. But execution? It’s slow. It drags. We lose momentum.”

And in today’s world, momentum is everything.

I’ve worked with companies where transformation moved like clockwork—and others where it crawled despite best intentions. Here’s what separates the two:

1. Leadership that’s in the room, not just on the slide.

You can spot the difference in week 1.

In successful transformations, CXOs don’t just endorse the project—they own it.

They unblock things. They challenge assumptions.

They make sure transformation isn’t a side hustle—it’s the main act.

✅ What to try: Tie transformation KPIs directly to leadership scorecards. You’ll see change overnight.

From what I’ve seen lately, transformation really needs to come from the top. Leaders can’t just sign off on things and disappear—they need to stay involved from start to finish.

Think about it like renovating a house. The homeowner can’t just approve the blueprints and then show up when it’s done—they need to check in regularly, make decisions about unexpected issues, and keep the project on track.

Setting a vision isn’t enough to make transformation or disruption successful. It’s like a coach who gives a great pregame speech but then sits back and doesn’t call any plays during the game. Leaders actually need to keep checking in and staying on top of progress.

I saw this firsthand at a tech company where the CIO would join weekly standup meetings for their digital transformation project. He asked tough questions, helped remove roadblocks, and kept everyone accountable. That project succeeded while similar initiatives at other companies fell apart when executives disappeared after the kickoff.

Bottom line: if leaders want transformation to work, they need to roll up their sleeves and stay in the game.

2. Start small. Deliver fast. Prove value.

One company I worked with launched a new CX platform.

But instead of rolling it out to 500 branches at once, they did it for 8.

In 6 weeks, they had customer feedback, adoption data, and real ROI.

Momentum > perfection.

I’ve been in the trenches with big companies trying to transform digitally, and here’s what I’ve noticed: after the initial excitement of launching those first 3-4 verticals, things often stall out. The whole organization never gets transformed.

Why? It usually boils down to weak architecture, flimsy design, and inconsistent delivery.

The thing is, every single step in your digital transformation journey matters. Those “quick wins” and shortcuts might look tempting, but they’re usually a mirage. Real transformation takes thoughtful planning and execution at each stage.

3. Don’t digitize garbage. Rethink it.

Sometimes, teams spend 6 months automating a broken process.

That’s not transformation. That’s decoration.

✅ Before building anything—ask: Does this deserve to be digitized? Or redesigned?

Imagine you’re looking at your own home and thinking, “I want to change this up a bit.” Here’s the thing – sometimes when you’re considering small tweaks to your current design, it actually makes more sense to start fresh with a complete redesign.

Think about it – all those little alterations and repairs can really add up, both in time and money. You end up spending way more than you planned, dealing with endless complications, and the frustrating part? The end result rarely comes close to what you originally pictured in your mind.

It’s like when I was thinking about updating my kitchen. What started as “let’s just replace the countertops” quickly snowballed into discovering old plumbing issues, uneven flooring, and outdated electrical work. By the time I was halfway through, I realized a complete remodel would have been less headache and probably similar in cost!

Sometimes it’s just better to wipe the slate clean and build exactly what you want from the ground up. That way, you get something that actually matches your vision instead of a compromised version that still feels off.

4. Replace steering committees with squad syncs.

In traditional orgs, decisions take weeks.

In high-velocity orgs, the same decision takes 30 minutes on Slack.

The difference? Trust, empowerment, and clear roles.

✅ Give small teams a budget, a goal, and decision power. Then watch what happens.

So check this out – IDC Foundry Events India did this study that found it typically takes about 7 months to get from the initial concept to actually starting a project. And honestly, that matches exactly with my own experience trying to get projects approved within my program timelines.

The frustrating part? The committee wouldn’t budge on delivery deadlines, even knowing how long approvals take. It’s wild – some of the simplest projects never got the green light, even after the Board had already approved them!

Steering Committees can be helpful, but only when they don’t get caught up in all that bureaucratic red tape. Otherwise, your goals just stay dreams while you keep spinning your wheels trying to make progress.

5. Change management is not a slide deck

I’ve seen beautiful tech deployments flop because nobody told the frontline what’s changing and why.

Even the best tools fail without buy-in.

✅ Start communicating on day 1, not day 180. Change is emotional, not just operational.

When you’re steering big transformation projects, it’s not just about tech upgrades—it’s also about shifting culture and reworking processes. You’ve got to tackle these changes with a positive attitude.

In most companies, the IT folks aren’t just working with functional teams to design and build solutions—they’re also taking on change management. This needs to be handled strategically, making sure everyone feels included in the journey.

Based on my experience, to achieve 99% adoption and 95% project success with large transformations, you need to:

  • Start with early stakeholder involvement—get key players on board from day one, not just as approvers but as active participants in the design process.
  • Create a network of champions across departments who understand the benefits and can explain them in ways that make sense to their teams.
  • Focus on the “what’s in it for me” factor for each user group. People adopt change when they clearly see how it makes their work better or easier.
  • Use a phased approach with quick wins to build momentum and trust. Nothing convinces skeptics like seeing real success.
  • Provide multiple training options—some people learn best hands-on, others prefer documentation, and some need one-on-one coaching.
  • Set up robust feedback channels and actually use the input to make improvements. When people see their suggestions implemented, they become invested in the success.
  • Celebrate milestones publicly and recognize contributors at all levels. This reinforces that the transformation is a shared achievement, not something being done to people.
  • Plan for post-launch support that doesn’t disappear after go-live. The first few months are critical for cementing new habits.

6. Stop hiring. Start growing.

You won’t find all your future-ready talent on LinkedIn.

You’ll need to build it—internally.

Upskill. Rotate roles. Let people shadow tech teams.

✅ Create a “Talent Sprint” program—3 months of building future-ready skillsets internally.

Let’s be real – you never get everything you want in a perfect package. That’s something I’ve learned to work with over time. When I’m interviewing people, I focus on what really matters: do they understand the subject, get the core concepts, can they take coaching, and will they work well with others? Everything else? We can figure that out as we go.

In every role I’ve had, I make it a point to push my team to keep building their skills. And when they put in that effort? I make sure they get recognized for it and have chances to move up and grow.

These are just a few of the real strategies that work when theory doesn’t.

I’ll be sharing more of these—from boardroom wins to backroom fixes—in my upcoming email newsletter.

It’s built for people like you who don’t want jargon, but just stuff that works.

….One question for you before you go:

What’s slowing transformation in your organization? Culture? Tech? People? Politics?

Drop a comment—or hit reply. I’m reading.

Universities Are Turning to AI—But Is It Really Fixing the Problem?

Over 40 million students enroll in Indian universities every year. Yet, admission processes in most institutions remain outdated—manual paperwork, long wait times, and inconsistent selection criteria.

So, universities turned to AI for help.

The promise? Faster, fairer, and data-driven admissions.

The reality? Not always.

How AI Is Reshaping University Admissions

Many top universities have integrated AI-powered systems for application screening, fraud detection, and student profiling.

Faster Decisions: AI reduces processing time from weeks to just a few days.

Personalized Admissions: Machine learning models assess student strengths beyond just marks.

Fraud Detection: AI can spot duplicate applications and false documents.

Bias-Free Selection: In theory, AI eliminates human bias from admissions.

Sounds like a win, right? Not entirely.

But The Catch is – AI Isn’t Perfect!

Most universities treat AI like a silver bullet, expecting automation to replace strategy rather than enhance it. But here’s what they don’t realize:

Bad Data = Bad Decisions: If past admissions data carries biases, AI will only reinforce them.

Over-Reliance on Algorithms: AI may prioritize numbers over holistic student potential.

Lack of Transparency: Students don’t always know how AI decides who gets in.

Limited Faculty Adoption: AI systems fail when universities don’t train staff to use them.

In 2023, a top-tier global university had to roll back AI-powered admissions because the system disproportionately rejected candidates from certain demographics.

The Right Approach to AI in Admissions

If universities want real transformation, AI should complement human decision-making—not replace it.

AI + Human Judgment: Let AI process applications, but admissions officers make final calls.

Bias Audits: Universities should regularly test AI models to prevent discriminatory patterns.

Transparency in Admissions: Institutions must explain how AI scores applicants. Training Faculty on AI Use: Staff should be equipped to interpret AI recommendations.

What’s Next? AI can revolutionize university admissions—but only when applied with the right strategy. Are universities truly ready for this shift, or is AI just another trend?

Would love to hear your thoughts—should AI decide who gets into universities?

Sources & Further Reading:

The Role of an AI Governance Board

The Role of an AI Governance Board

Introduction: Why Your Organization Needs an AI Roadmap

Artificial Intelligence (AI) is no longer a futuristic concept—it is a strategic necessity. Organizations that successfully integrate AI gain a competitive edge, with AI-driven businesses expected to contribute up to $15.7 trillion to the global economy by 2030 (PwC report). However, AI adoption without a clear roadmap can lead to inefficiencies, compliance risks, and ethical concerns.

To ensure AI initiatives align with business goals while addressing regulatory and ethical challenges, organizations must establish an AI Governance Board—a multidisciplinary body that guides AI strategy, policy, and execution.

The Role of an AI Governance Board

As Member Secretary of the AI #Governance Board at Manipal Academy of Higher Education, Manipal, I have seen firsthand how structured governance accelerates AI maturity while mitigating risks. A well-structured AI Governance Board should be chaired by the CEO or COO, driven by IT, and include stakeholders from critical business functions such as:

  • Finance – Ensures AI investments align with financial strategy and ROI expectations.
  • Marketing – Guides ethical AI use in customer engagement, personalization, and automation.
  • Legal – Ensures compliance with AI-related regulations, intellectual property, and liability issues.
  • Data Protection Officer (DPO) – Monitors compliance with global privacy laws (GDPR, CCPA, DPDP Act).
  • Chief Information Security Officer (CISO) – Oversees cybersecurity and AI risk management.
  • Human Resources (HR) – Manages AI’s impact on workforce transformation and ethical AI adoption.

Purpose and Objectives of the AI Governance Board

The AI Governance Board serves as the central decision-making body for AI adoption, ensuring that AI-driven initiatives are ethical, scalable, and compliant. Its key objectives include:

1. Setting AI Strategy & Vision

  • Define an AI roadmap aligned with the organization’s long-term digital transformation goals.
  • Prioritize AI use cases based on business value, feasibility, and risk assessment.

2. Establishing AI Governance Policies

  • Develop clear policies on AI ethics, transparency, bias mitigation, and accountability.
  • Establish data governance frameworks to ensure responsible AI usage.

3. Ensuring Compliance with Privacy Laws

  • Adhere to regulations such as #GDPR, CCPA, and India’s #DPDP Act to avoid legal repercussions.
  • Implement Privacy by Design in AI applications, ensuring user consent and data protection.

4. Monitoring AI Risks and Bias

  • Conduct regular AI audits to detect algorithmic bias and inaccuracies.
  • Establish bias mitigation strategies and fairness metrics.

5. Defining AI Success Metrics

To measure AI impact, the board should track the following:

  • Operational Efficiency Gains – Reduction in manual processes, cost savings.
  • Customer Experience Improvement – Personalization effectiveness, AI-driven engagement.
  • Compliance & Security Metrics – Data protection adherence, cyber resilience.
  • Workforce Impact – Employee upskilling, AI-driven productivity improvements.

Do’s and Don’ts of AI Governance

✅ Do’s

Ensure cross-functional collaboration – AI is not just an IT initiative; it requires input from all business units.

Prioritize ethical AI development – Use fairness, accountability, and transparency principles.

Regularly review AI systems – Conduct ongoing audits to mitigate risks and improve AI models.

Invest in AI upskilling – Train employees to work alongside AI tools effectively.

Align AI investments with business goals – Focus on ROI-driven AI projects.

❌ Don’ts

Don’t ignore regulatory requirements – Non-compliance can result in hefty fines and reputational damage.

Don’t rely on AI without human oversight – Implement human-in-the-loop mechanisms to prevent errors.

Don’t underestimate bias in AI models – AI should be tested for fairness and inclusivity.

Don’t deploy AI without stakeholder buy-in – Engage leadership and employees early in AI adoption.

Don’t overlook cybersecurity risks – AI systems can be exploited if not secured properly.

Conclusion: Build AI Responsibly with a Governance-First Approach

AI presents transformative opportunities, but without a structured approach, it can lead to compliance risks, ethical concerns, and wasted investments. An AI Governance Board ensures that AI adoption is strategic, responsible, and aligned with business objectives.

If your organization is planning an AI transformation, start by establishing a governance framework that brings together IT, legal, compliance, HR, marketing, and security leaders. AI is not just a technology shift—it is a business transformation that requires strong oversight and ethical implementation.

📢 Call to Action:

Is your organization AI-ready? If not, start by forming an AI Governance Board today! Let’s shape a future where AI is not just powerful but also responsible and trustworthy.


A Case Study On Use of Wearable Tech in Modern Healthcare

The surgeon’s hands were steady, but time was running out.

In a critical neurosurgery case at Boston Memorial Hospital, Dr. Sarah Chen encountered an arterial anomaly she’d never seen before. Instead of pausing the procedure or making a risky decision, she activated her RealWear Navigator 520 with a simple voice command: “RealWear, call neuro consult.”

Within seconds, three specialists from across the country were seeing exactly what she was seeing, guiding her through the unexpected complication. The patient made a full recovery.

This isn’t science fiction—it’s happening today.

RealWear – Qubic Group Navigator 520: A Healthcare Revolution

The RealWear Navigator 520 is transforming healthcare delivery through its hands-free, voice-controlled wearable technology designed for frontline professionals. Building on its industrial applications, this ruggedized device is becoming indispensable in medical settings where every second and every decision matters.

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RealWear Navigator 520

Key Features Driving Healthcare Adoption

  • Enhanced Visual Clarity: The 20% larger HyperDisplay with improved resolution proves critical when examining patient diagnostics or performing intricate procedures
  • Completely Hands-Free Operation: Voice control in 25+ languages means sterile environments remain uncompromised
  • Durability: IP66-rated protection against fluids and contaminants—essential in medical environments
  • 48MP Camera: Enables remote specialists to see minute details with unprecedented clarity
  • Hot-Swappable Batteries: Ensures continuous operation through long procedures or shifts
  • Seamless Integration: Works with existing hospital systems and communication platforms like Microsoft Teams

Transformative Applications in Healthcare

1. #MedicalEducation Revolution

Traditional medical education relies heavily on observation and limited hands-on experience. The Navigator 520 changes everything:

  • Attending physicians’ stream complex procedures to students in real-time
  • Students witness surgeries from the surgeon’s exact perspective
  • Instructors can annotate the visual field to highlight critical anatomy
  • Students can ask questions during procedures without disrupting workflow
  • Procedures are recorded for review and training libraries/e-Learning application

“We’ve seen a 43% improvement in practical exam scores since implementing RealWear in our surgical rotation program. Students grasp complex procedures faster because they literally see through the eyes of experienced surgeons.” — Dr. James Wong, Medical Education Director, Northwestern Medical School

2. Remote Expert Consultation

  • Specialists can consult on complex cases without physical presence
  • Rural hospitals gain immediate access to specialist expertise
  • International collaboration becomes seamless
  • Decision-making time in critical cases reduced by 72%

3. Procedural Precision & Compliance

  • Step-by-step protocol guidance ensures perfect adherence to best practices
  • Voice-activated checklists reduce errors and complications
  • AI integration flags potential issues before they occur
  • Documentation happens automatically, reducing administrative burden

4. Patient Education & Consent

  • Physicians can record explanations of procedures from their perspective
  • Patients receive unprecedented clarity about their treatment plans
  • Informed consent becomes truly informed through visual demonstration
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Comparative Impact Analysis

Beyond Healthcare: Cross-Industry Applications

The same features making RealWear Navigator 520 transformative in healthcare create value across industries:

  • Pharmaceutical Manufacturing: Ensures perfect adherence to GMP protocols
  • Medical Device Support: Field technicians receive real-time guidance for equipment maintenance
  • Clinical Research: Researchers collaborate across institutions with shared visual data
  • Emergency Response: First responders connect with trauma centers before patient arrival

Implementation Success Story: Memorial Healthcare System

Memorial Healthcare System implemented RealWear Navigator devices across their five teaching hospitals with remarkable results:

  • 63% reduction in specialist travel between facilities
  • 87% decrease in training-related medical errors
  • $2.7M annual savings in consultation and training costs
  • 4.8/5 satisfaction rating from resident physicians

Dr. Michael Patel, Chief of Surgery at Memorial, notes: “We initially purchased RealWear for our complex surgeries, but it’s transformed every aspect of our operation—from resident training to patient consultations. The ROI has been extraordinary, not just financially but in terms of care quality and staff development.”

Looking Ahead: The Future Is Wearable

As healthcare faces unprecedented challenges—provider shortages, rising costs, and access disparities—wearable technology like the RealWear Navigator 520 offers a path forward that enhances quality while controlling costs.

Upcoming integrations with AI diagnostic tools, expanded language support, and enhanced reality overlays promise to further revolutionize healthcare delivery, especially in underserved regions.


Comparative products like RealWear Navigator 520, here are alternatives in the rugged wearable computer/smart glasses:

  1. Microsoft HoloLens 2 – While more of an AR headset than a heads-up display, it offers similar hands-free functionality but with full mixed reality capabilities. Expensive and bulkier than the Navigator 520.
  2. Google Glass Enterprise Edition 2 – A more direct competitor with a similar form factor. Lighter than the Navigator 520 but less rugged and with less battery life.
  3. Vuzix M400 – Similar to the Navigator 520 with hands-free operation and a heads-up display. Comparable in durability but with different mounting options.
  4. Epson Moverio BT-40 – Offers AR capabilities in a glasses form factor. Less industrial-focused than the Navigator 520 but provides similar hands-free information display.
  5. Zebra HD4000 – Enterprise-focused heads-up display that attaches to safety glasses. More limited in functionality but purpose-built for warehouse and logistics environments.

The Navigator 520 stands out for its IP66 rating for dust and water resistance, hot-swappable battery, and specific design for industrial environments. It also features a unique articulating boom arm that can be moved out of the way when not in use, which many competitors lack.


This evaluation was done during my role as Director IT and Digital Transformation at Manipal Academy of Higher Education. We had performed Proof of concept at Kasturba Medical College, Manipal found the use case effective for training and learning.