How Did I Forget to Write About My First Keynote?

There is an old saying,

“Life happens while you’re busy making other plans.”

Looking back, I could not agree more.

A few days ago, while organizing some of my professional documents, I came across an old email conversation that instantly transported me back to one of the most memorable milestones of my professional journey.

It was my First invitation to deliver a keynote at Synapse AI Hackathon 2024.

My immediate thought was,

“How did I forget to write about this on my blog?”

I genuinely could not believe it.

This was not just another speaking engagement.

It was my first keynote invitation, a milestone that marked an important chapter in my journey as a researcher, speaker, and AI professional.

Yet somehow, this story quietly remained untold.

It was not because the experience was any less meaningful.

Quite the opposite.

Soon after the event, life became even busier with research, publications, conferences, international travel, and new opportunities. Before I realized it, months had turned into years, and this wonderful memory had simply slipped through the cracks.

As they say, better late than never.

When Everything Happened at Once

March 2024 was one of the busiest months of my career.

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At the time, I was preparing my research paper and presentation for an international conference in Barcelona, Spain. Every day was dedicated to research, revisions, presentation rehearsals, travel planning, and making sure every detail was ready.

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Then one afternoon, an email arrived that immediately caught my attention.

The organizers of Synapse AI Hackathon 2024 invited me to deliver a keynote address.

Most people might have looked at their already packed schedule and politely declined.

My mind has never worked that way.

Whenever an opportunity allows me to share knowledge, interact with passionate learners, and contribute to the technology community, saying “no” becomes surprisingly difficult.

Sometimes, the best opportunities arrive when your schedule is already full.

You simply find a way to make room for them.

Choosing a Topic That Looked Beyond the Present

The organizers gave me complete freedom to choose the topic for my keynote, but it should be on AI.

Rather than speaking about something everyone was already discussing, I wanted to explore an area that I genuinely believed would become an important direction for Artificial Intelligence.

That topic became,

Adaptive Agentic AI Ecosystems

Back in early 2024, Agentic AI was still an emerging topic within the AI community.

Discussions around autonomous agents, governance, trust, accountability, safety, collaboration, and responsible AI were only beginning to gain momentum.

To me, it was far more than another technology trend.

It represented a new way of thinking about intelligent systems that can adapt, collaborate, and make decisions while operating responsibly.

Even today, I continue to believe that Adaptive Agentic AI Ecosystems will play an important role in future AI research, innovation, and real world deployment.

A Wonderful Audience

The organizers informed me that nearly 500 to 700 participants were expected to attend the keynote from more than 1,700 submissions received worldwide.

Knowing that the audience would include students, researchers, software developers, entrepreneurs, educators, and AI enthusiasts made the experience even more exciting.

Throughout the entire journey, the organizing team demonstrated exceptional professionalism.

From reviewing my presentation deck to coordinating the event schedule and ensuring every speaker felt comfortable before going live, every detail was managed thoughtfully.

Their dedication made the experience smooth, enjoyable, and memorable.

Thirty Minutes That Felt Like Ten

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As soon as the session began, I became completely immersed in the discussion.

For nearly thirty minutes, we explored how autonomous AI agents could evolve into adaptive ecosystems capable of collaboration, contextual awareness, continuous learning, intelligent reasoning, and responsible decision making.

The conversation naturally extended into AI governance, ethics, transparency, and responsible innovation, topics that have become even more relevant today.

What I enjoyed most was the interactive question and answer session.

The audience asked thoughtful questions that reflected genuine curiosity rather than simply technical interest.

Those conversations reminded me why I enjoy public speaking just as much as conducting research.

Knowledge becomes far more valuable when it inspires meaningful conversations.

Sharing the Stage with Another Inspiring Speaker

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One aspect I genuinely appreciated was sharing the keynote stage with Sushrutha, CTO at CloudTech.

His keynote focused on enterprise AI infrastructure and scalable AI solutions, offering valuable insights into how organizations can successfully adopt Artificial Intelligence.

While my session explored the future of intelligent autonomous systems, his presentation highlighted the engineering foundations required to build reliable and scalable enterprise AI.

Together, the two sessions provided participants with complementary perspectives on the future of Artificial Intelligence, from cutting edge research to practical implementation.

Why This Story Stayed Untold

After the event concluded, life became even busier.

Over the following months, my focus shifted toward research publications, conferences, international collaborations, speaking engagements, and several exciting professional opportunities.

Later that year, around November 2024, I resumed my blogging journey with a commitment to consistently share my experiences, research, conferences, and insights from the rapidly evolving world of Artificial Intelligence.

Yet somehow, this particular story never made it to my blog.

Not because I had forgotten its importance.

Rather, because life kept moving at an incredible pace.

Recently, while reviewing old emails and documents, I rediscovered the keynote invitation.

It reminded me that some stories deserve to be told, even if they are shared much later than originally intended.

After all, meaningful milestones never lose their significance.

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Looking Ahead

Interestingly, while writing this blog, another exciting chapter is about to begin.

On 24 July 2026, I have the honour of joining the Global Association for Research and Innovation (GARI) as a Distinguished Speaker.

Over the past few weeks, several friends, researchers, and colleagues have asked me an interesting question.

“What is the difference between a Distinguished Speaker and a Keynote Speaker?”

It is an excellent question, and one that deserves its own discussion.

After completing the upcoming GARI event, I will share another blog reflecting on that experience and explaining the differences between these two speaking roles based on my own journey.

If you are interested in attending the upcoming GARI event and would like to know how to register or participate, please feel free to reach out to me. I would be happy to guide you in the right direction.

Until then, I would like to leave you with one simple thought.

Some of the most meaningful milestones are not always the ones we announce immediately.

Sometimes, they are the ones we rediscover years later and realize they quietly shaped our journey in ways we never fully appreciated at the time.

Thank you, Synapse AI Hackathon, for giving me the opportunity to contribute, learn, exchange ideas, and interact with such an inspiring community of innovators.

It may have been my first keynote invitation, but it certainly will not be the last story worth telling.

From Researcher to Session Chair: What Nobody Tells You About Leading From the Middle

 

You know how some opportunities never show up when your plate is empty? They always seem to land right when you’re up to your neck in deadlines.

Looking back, I probably should have shared this experience much sooner

It was late 2025, not long after I’d earned the right to put “Dr.” in front of my name, when an invitation landed in my inbox. Would I serve as Session Chair for the International Conference on Recent Trends in Computer Science and Information Technology, ICRTCSIT 2025?

Timing wise, it could not have been worse.

My Doctoral viva voce, dissertation revisions, ongoing research, and a full plate of professional responsibilities were already stretching me thin. For a moment, I genuinely considered saying no. Politely, of course, but no.

Then I remembered something I hold onto tightly.

Opportunity rarely waits for you to feel ready. It knocks precisely when you’re neck deep in building your future.

So I said yes anyway.

Fast forward almost eight months, and I’m finally sitting down to share what turned out to be a far bigger learning experience than I bargained for. Funny enough, it was a string of recent engagements, including a talk on AI driven predictive maintenance for the oil and gas sector and an upcoming session with the IIT Kanpur community, that sent me digging through old files. That’s when I stumbled on the conference invitation, the appreciation letter, and the certificate from ICRTCSIT.

I just smiled and thought, how on earth did I never write about this?

So here it is. A bit of a throwback, and hopefully a useful read for anyone who might one day get tapped to chair a technical conference session.

It’s Not Just About Holding the Mic

Before I actually took on the role, I assumed being a Session Chair was pretty simple. Introduce the speaker, keep an eye on the clock, move to the next talk. Easy, right?

Not even close.

A Session Chair quietly ends up being the person holding the whole session together behind the scenes. There’s a surprising amount of legwork before you ever step up to the podium. I spent time going through every assigned presentation, understanding the research themes, connecting the dots to related work, and getting a feel for how the discussions would naturally flow.

I reached out to speakers ahead of time to confirm their participation, went through their bios, drafted introductions, worked out the timing for each talk, and mentally rehearsed the transitions between sessions.

Like most things worth doing well, the real work happens long before anyone notices you’re doing it.

A Room Full of Brilliant Minds

Honestly, one of the best parts of the whole experience was simply being in the room. Researchers, university professors, doctoral scholars, industry professionals, international keynote speakers, technology leaders, you name it, they were all there.

The conference featured 102 presenters, which meant an incredible cross section of ideas from across Computer Science and IT. Every session brought something new to the table, a fresh angle, an unexpected insight, a question that made the whole room lean in.

It reminded me exactly why I love academic conferences in the first place. They’re one of the rare spaces where curiosity is the only language everyone speaks fluently.

Even the Chair Keeps Learning

One keynote really stuck with me. Micky Chhabda spoke on building a strategic framework that leverages AI, analytics, and automation, and it hit close to home because it echoed so much of my own doctoral research on adaptive strategic management and its impact on organizational growth through digital innovation.

It felt like watching someone explore a different dimension of a problem I’d spent years living inside.

What struck me most was how he framed AI, analytics, and automation not as three separate tools bolted together, but as interconnected pieces of a single organizational strategy. Instead of treating AI as just another shiny gadget, he showed how businesses can build a real, sustainable edge by weaving intelligent automation, analytics driven decisions, and strategic execution into one cohesive whole.

Even while moderating, I kept recognizing echoes of my own research in what he was presenting. It was a good reminder that the questions I’ve been exploring are questions the wider field is asking too.

The Chair Who Made It Look Easy

I also had the privilege of co chairing alongside Mr. Aditya Gupta, a Software Engineering Leader from the USA.

From the get go, it was obvious he’d done this many times before.

As they say, experience speaks louder than words.

Watching him steer discussions, glide between presentations without missing a beat, keep the energy up, and handle curveballs with total composure was honestly a masterclass. What impressed me even more was how down to earth he stayed despite all that experience. He was approachable, generous with advice, and never once made it feel like he was above sharing what he knew.

Sometimes the best lessons aren’t taught. They’re simply observed, quietly, from someone who has already walked the path you’re just starting out on.

Sharing the stage with him made the whole experience that much richer.

What Really Goes On Behind the Scenes

Most attendees only see the presentations. A Session Chair sees everything that happens around them.

Here’s what actually filled my time throughout the conference:

Introducing every speaker with an intro that actually did them justice

Managing the schedule so each presenter got a fair shot

Encouraging the audience to ask real, meaningful questions

Moderating the Q&A without letting it spiral

Keeping discussions constructive and on track

Holding the overall rhythm and professionalism of the session together

One job in particular deserves its own spotlight. Timekeeping.

Sounds simple on paper. In practice, it’s one of the trickiest balancing acts there is.

Researchers pour their heart and soul into their work, so naturally, they want to explain every nuance. I lost count of the moments where a presenter got completely absorbed in walking through their methodology while the audience kept the questions coming because the topic was genuinely fascinating.

That’s when I had to step in, gently but firmly. Not to shut anyone down, but to make sure things stayed fair. One speaker’s passion should never eat into another speaker’s time.

Finding that sweet spot between empathy and discipline turned out to be one of the biggest leadership lessons I walked away with.

Innovation Was the Thread Running Through Everything

If there’s one thing that became crystal clear, it’s this. No matter where a conversation started, it always found its way back to Artificial Intelligence.

Healthcare, cloud computing, cybersecurity, software engineering, manufacturing, education, agriculture, finance, smart cities, industrial automation, predictive maintenance, blockchain, quantum computing, robotic process automation. Every single domain seemed to have found its own way to put AI to work.

It was fascinating to see AI has stopped being a niche research topic and has become the thread running through nearly every modern technology solution out there.

The conversations around quantum computing genuinely caught my attention, especially the discussions on cracking optimization problems that leave traditional computing struggling. And the talks on robotic process automation were just as compelling, showing how intelligent automation keeps reshaping enterprise operations through better efficiency, scalability, and sharper decision making.

Sitting through these sessions felt less like attending talks and more like watching the future take shape in real time.

The Biggest Takeaway

This whole experience completely shifted how I think about leadership.

Leadership isn’t always about being the one delivering the keynote. Sometimes it’s about making sure everyone else gets their moment to shine.

It’s about building a space where ideas can breathe. Sparking conversations that matter. Making sure every voice gets heard. Keeping things respectful even when passions run high. Making the tough calls with grace. And ultimately, helping brilliant people show the world what they’ve got.

And honestly, that might just be one of the most underrated forms of leadership out there.

A Heartfelt Thank You

I owe a huge thank you to the entire organizing committee of ICRTCSIT 2025 for trusting me with this role. Getting the invitation, working alongside seasoned professionals, helping steer the technical sessions, and later receiving the Appreciation Letter and Certificate made the whole journey unforgettable.

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Thank you for believing I had something to bring to such an inspiring gathering of researchers and professionals from around the world. It truly was an honor.

If You Ever Get a Similar Invitation

Say yes………………………………..

Even if your schedule is bursting at the seams. Even if you’re not entirely sure you’re ready. Even if it feels a little outside your comfort zone.

Because you won’t just walk away with another certificate to add to the pile. You’ll walk away with real leadership experience. New professional relationships. Fresh perspectives from researchers across the globe. Ideas that push back on your own thinking and make you better for it.

And somewhere in the middle of it all, you’ll realize that conferences don’t just exist to share knowledge. They quietly shape the people who help bring them to life too.

Looking back now, I’m genuinely glad I said yes. Sometimes the opportunities we almost turn down end up becoming the stories we’re proudest to tell.

Press enter or click to view image in full sizeBefore I actually took on the role, I assumed being a Session Chair was pretty simple. Introduce the speaker, keep an eye on the clock, move to the next talk. Easy, right?

Why Agentic AI Needs Leaders, Not Just Algorithms — A Personal Research Journey

 Let me be upfront about something.

I received an award back in June 2025. And I am only sitting down to write about it now, in June 2026 . Nearly Twelve months later. Classic case of the cobbler’s children having no shoes. I have been so deep in other things that this milestone just sat quietly in the corner, waiting for me to catch my breath.

So here I am. Finally catching my breath.

On 23 June 2025, the International Journal of Emerging Trends in Computer Science and Information Technology presented me with the Best Research Paper Award for my paper titled Strategic Leadership in the Age of Agentic AI: Redefining Executive Decision-Making and Organizational Control.

But before I talk about the award, I want to talk about the last 12 months that followed it. Because honestly, that period shaped how I see this research more than the award itself did.

The 12 Months That Changed Everything

Right after receiving the award, life shifted up a gear.

I threw myself into preparing for my Doctoral Viva Voce. If you have been through doctoral viva preparation, you know what that season feels like. It is not just revision. It is a complete reckoning with your own thinking. You revisit every assumption you made, every framework you built, every conclusion you drew, and you ask yourself whether it holds up under scrutiny that pulls no punches. Months of preparation, late nights, and more rewrites than I care to count. And I am glad to say that journey has now come full circle. I successfully completed my Viva Voce in December, and that in itself feels like a chapter closing and a new one opening at the same time.

Running parallel to all of that, I was deeply involved in two significant pieces of work. The first was analyzing and evaluating SupplAIQ, a leading AI powered supply chain platform with a strong focus on lead time analytics, intelligent decision support, and operational optimization. The second was researching and documenting AI use cases across the construction sector, exploring how intelligent systems are beginning to reshape project planning, resource management, and operational decision making on the ground.

And here is what made both of those experiences so striking. These were not theoretical exercises. SupplAIQ was a live, functioning system being used in real supply chain environments. Purchase timelines being influenced by AI recommendations. Resource allocation being shaped by intelligent forecasting. Business processes being coordinated with minimal human intervention at each step. Similarly, the construction sector work showed AI moving well beyond pilot projects, into actual site operations and procurement workflows.

Sitting with all of that, while simultaneously preparing to defend my doctoral research on the Impact of Adaptive Strategic Management on Organization Growth Powered by Digital Innovation, was one of those moments where theory and reality collide in a way that makes everything feel urgent.

It reinforced something I already believed but now felt in a much more concrete way. The governance conversation around Agentic AI is not a future problem. It is happening right now, inside real organizations, and most of them are simply not ready for it.

So Where Did This Research Actually Start?

It started with a question that kept nagging at me.

For years, AI has played a supporting role. Humans asked, AI answered. Humans decided, AI assisted. That was the dynamic we all got comfortable with.

But something has shifted underneath us.

We are no longer talking about AI that responds. We are talking about AI that acts. Systems that can scan market conditions, reprioritize workflows, coordinate across enterprise tools, allocate resources, generate recommendations, and in some configurations, execute decisions outright. All without waiting to be told what to do next.

This is what Agentic AI actually means. Not smarter chatbots. Not better search. Genuine autonomous decision making embedded inside business operations.

And the moment you sit with that properly, one question rises to the surface faster than any other.

If the AI is making decisions, who is actually responsible?

Not in a legal fine print sense. Strategically. Organizationally. As a matter of leadership and accountability.

That question became the thread I kept pulling on.

What the Research Actually Proposes

The paper does not argue that organizations should slow down their AI adoption. That ship has sailed, and frankly, the competitive pressure to move fast is real.

What it argues is that executives need to rethink their own role in an age of autonomous systems.

The old model, where leaders sit at the top of a decision pyramid and make the final call on everything, simply does not scale when AI agents are handling thousands of micro decisions a day. But stepping back entirely and letting the system run creates accountability voids that no organization can afford.

The framework I propose lands somewhere in between. It positions leaders not as referees of every AI decision, but as architects of the system itself. People who design the governance structures, set the decision boundaries, define the human approval thresholds, and build the accountability mechanisms before the AI agent ever touches a live business process.

In practical terms, that means getting clear on questions like these. How much autonomy should this agent have in this specific context? At what point must a human intervene? Who is accountable when an AI driven decision produces a bad outcome? And how do you build explainability and auditability into the system from day one, not as an afterthought?

The goal is not to slow innovation. It is to make innovation sustainable.

Strategic Leadership and Organizational Control Framework for Agentic AI

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Why This Matters Right Now

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When I first started researching this topic, Agentic AI was still a fairly niche conversation. Most practitioners had not encountered the term outside of research papers. Organisations were still figuring out basic AI adoption, let alone autonomous AI governance.

That has changed at a pace that surprised even me.

Today, every major AI company is investing heavily in autonomous agents. Enterprise platforms are embedding them into supply chains, financial systems, ERP environments, and customer operations. The SupplAIQ evaluation and the construction sector work I mentioned earlier were both front row seats to exactly that shift. What I was studying in research papers, I was simultaneously watching play out in live business decisions across two very different industries. That kind of parallel experience does something to how you see a problem. It stops being abstract very quickly.

And the gap I kept observing was always the same. The technology was moving. The governance was not keeping up.

About the Award

The IJETCSIT Editorial Board reviewed more than 480 submissions this year, from researchers, academics, and industry professionals across the globe. Papers were evaluated on originality, methodological rigour, practical significance, and potential impact on future research and industry practice.

Learning that my paper ranked among the highest scores was genuinely humbling.

Not because recognition does not matter, it does, but because it told me that the research community is beginning to take AI governance seriously as a strategic leadership problem in its own right. Not a compliance exercise. Not an IT risk question. A fundamental question about how organizations lead in an age of autonomous systems.

That feels important.

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What the Journey Actually Looked Like

Research never goes the way you expect when you first start.

You spend months building an argument, then a single peer review comment dismantles the foundation and you have to start again. You read papers that contradict each other and have to decide which thread of evidence you actually trust. You write sections that feel sharp and clear at midnight, then read them the next morning and wonder what you were thinking.

There were moments during this research where I genuinely wondered whether the question I was asking was too early. Whether the field had not caught up yet. Whether I was writing about a problem that would not feel urgent for another five years.

And then the world moved faster than anyone predicted, and suddenly the urgency was everywhere.

That is the strange thing about research that turns out to be timely. You cannot plan it. You just have to trust the question.

What Comes Next

Completing the Doctoral Viva and receiving this recognition within the same year feels like more than coincidence. It feels like a signal.

The doctoral journey, the SupplAIQ work, the construction sector AI research, all of it is pointing in the same direction. As Agentic AI becomes embedded in everyday business operations, the conversations around leadership, accountability, and organizational control will matter just as much as the conversations about AI capability itself. Probably more.

Because in the end, it is not the algorithm that decides how AI gets used in an organization. It is the people leading it. And those people need frameworks, not just features.

That is the work I want to keep doing.

Thank you for reading.

Dr. Satyasri Akula

Also Published in :  Why Agentic AI Needs Leaders, Not Just Algorithms — A Personal Research Journey | by Dr. SATYASRI AKULA | Thoughts & Reflections | Medium