CTO Chats with Animesh Agrawal, Director of Engineering – Trading

Can you tell us a bit more about yourself and your company?

My name is Animesh, and I head technology teams with a focus on innovation and strategic growth. With a wealth of experience in the IT landscape, I have navigated challenges, embraced cutting-edge advancements, and driven impactful solutions. My journey has been fueled by a passion for technology, leadership, and empowering teams to achieve excellence.

 

How did you first get into the IT industry?

Twenty years ago, I embarked on a journey shaping my career and passion for technology. I started in a small place with almost no resources, but we saw an opportunity—computers were beginning to make their mark, and we decided to embrace them. In those days, technology was booming, and with a desire to learn and share knowledge, we began teaching for free. That simple initiative sparked the beginning of an incredible journey.

Hard work, sleepless nights, balancing client projects with continuous learning—all these experiences built the foundation for my career. There were countless challenges, each one an opportunity to grow. If I were to recount every moment, the story would be endless.

As I pursued my double master’s degree, I set my sights on joining a multinational corporation. Transitioning into the MNC world opened new doors, exposing me to managerial strategies, career growth opportunities, cutting-edge technologies, and the intricacies of corporate culture. The journey was thrilling and demanding, filled with challenges that tested my resilience and adaptability.

Through it all, I learned the essence of ethical and professional perseverance: first, striving for personal success, then using that motivation to uplift and inspire my team. When a team is empowered and driven, success becomes a collective achievement, and that is where true leadership begins. Today, I continue on this journey, embracing new challenges, fostering innovation, and empowering the next generation of tech leaders.

 

What are some of the most significant challenges you face in the IT landscape, and how are you strategically addressing them?

In the world of IT, challenges are not the exception—they are the norm. Every single day brings new technologies, fresh innovations, and shifting customer demands. The rise of AI and data-driven solutions has accelerated this pace even further, making adaptability a core competency. The biggest challenge? Meeting expectations in a field where change is constant and instantaneous solutions are often expected.

One of the most common scenarios we face is when customers ask, ‘Can we get it tomorrow?’ In technology, tomorrow is not guaranteed; it depends on the complexity of the use case, the scope of implementation, and the strategy behind the solution. The key is balancing tactical execution with strategic foresight.

Our approach to overcoming these challenges is rooted in proactive communication and expectation management. First, we set clear expectations with customers, ensuring they understand both the possibilities and limitations of rapid delivery. Second, we present multiple scenarios—some solutions are tactical, designed for immediate implementation, while others are strategic, built for long-term scalability and sustainable success.

If a need is critical, a tactical approach can offer a temporary fix. However, for larger, evolving use cases, we prioritise strategic solutions that provide long-term efficiency, adaptability, and growth. This way, we don’t just deliver technology; we craft future-proof solutions that align with our clients’ ever-changing needs.

Every challenge is an opportunity to innovate. And every innovation moves us closer to shaping a technology landscape that is efficient, resilient, and built to thrive in an era of rapid change.

 

What’s the biggest IT-related mistake that you see companies make, and how can they avoid it?

One of the biggest mistakes I frequently see is the expectation that technology is a magic wand; something that instantly solves every challenge without the necessary strategic foundation. Many companies fall into the trap of reactive implementation, rushing to adopt the latest trends without aligning them with long-term business goals.

Technology is an enabler, not a shortcut to success. The key to avoiding this mistake is a balance between speed and strategy. Setting the right expectations with stakeholders is crucial. Solutions require time to be properly designed, tested, and integrated. Without this approach, companies risk launching poorly thought-out systems that create inefficiencies rather than solving them.

For example, consider an organisation rapidly adopting AI-driven analytics without first streamlining its data infrastructure. Without clean, structured data, AI models can produce misleading insights, leading to flawed business decisions. Instead, the correct approach would be to first invest in data governance, ensuring high-quality, organised information before implementing AI-powered solutions.

Practical steps to mitigate this risk:

1. Define Strategic Goals First – Every technology investment must align with the company’s long-term objectives.
2. Prioritise Scalability – Build solutions that are not just quick fixes but adaptable for future expansion.
3. Set Clear Timelines – Ensure realistic delivery schedules that allow for proper development, testing, and iteration.
4. Educate Stakeholders – Communicate with teams to set expectations on both tactical and strategic solutions.
5. Start with Data Readiness – Before implementing advanced tech, ensure structured and optimised data.

Ultimately, success in IT comes from a vision-driven approach—embracing emerging technologies while ensuring they serve a greater purpose. When companies plan strategically, they don’t just solve today’s problems; they future-proof their innovation

 

What emerging technologies and innovation opportunities do you believe businesses in the IT industry should be prioritising right now?

Innovation is never a one-size-fits-all approach. The priorities for emerging technologies depend entirely on the industry, company vision, and customer needs. A product-based company will prioritise differently from a trading enterprise. It’s essential to shape technological adoption based on the company’s roadmap, ensuring that every decision aligns with long-term strategic goals.

While AI is often touted as the leading emerging technology, the real question is: Does it align with the industry’s specific needs? In some domains, AI may not be the game-changer, while in others, it is revolutionary. That’s why the decision must be based on relevance, not hype.

In the industry, AI, Blockchain, and data are the driving forces. However, data is the foundation of everything. Without structured, accessible, and optimised data, no technology can be effectively implemented. My strategic focus begins with streamlining data, ensuring it is clean, secure, and ready for real-world applications. Once the data ecosystem is established, businesses can leverage AI for automation, Blockchain for secure transactions, and any other cutting-edge solution that fits their growth vision.

For example, consider a retail company adopting AI-powered analytics for customer insights. Without structured data, AI models fail to deliver actionable intelligence. But once data integrity is assured, AI can generate precise forecasts, optimise inventory, and personalise customer experiences, leading to tangible business outcomes.

The future belongs to businesses that can combine foresight with adaptability, ensuring that their technology investments not only solve today’s challenges but create opportunities for tomorrow.”

 

How do you envision the IT sector evolving over the next two to five years?

The IT sector is evolving at an unprecedented pace, and the next three to five years will be defined by a deeper integration of AI, Machine Learning (ML), and data-driven technologies. The foundation of this transformation is data—just like gold, its value continues to rise, shaping industries and defining competitive advantages.

Companies will focus not just on acquiring data but on refining it, ensuring quality, accuracy, and security. Clean, structured data will drive predictive analytics, helping businesses make strategic decisions in real time, eliminating reliance on outdated processes. For instance, organisations leveraging AI-powered forecasting will no longer need to wait for manual reports; instead, real-time insights will shape instant decision-making.

A major shift will also occur with low-code/no-code solutions. Gone are the days when software development required months of intricate coding. Soon, businesses will be able to build and deploy applications within hours using intuitive interfaces, reducing dependency on traditional programming skills.

Robotics and AI-assisted automation will also take centre stage. We’ve already seen AI disrupting customer service through AI-driven chatbots, but in the coming years, entire sectors—from healthcare to logistics—will integrate AI-driven automation at scale. Imagine supply chains where warehouses are managed by intelligent robotics, optimising stock levels without human intervention.

However, alongside this rapid technological expansion comes a crucial challenge: data security. As businesses collect massive amounts of sensitive information, cyber threats will grow exponentially. The next frontier will focus on data protection and privacy, ensuring that industries can harness the power of data without compromising security.

The IT revolution is not just about adopting technology; it’s about strategically using it to drive efficiency, innovation, and resilience. Those who embrace this evolution will shape the future, while those who resist may find themselves obsolete in the fast-moving digital world

 

Are there any specific trends or technologies that you believe will have the most profound impact on the IT industry as a whole?

One of the most profound shifts is the rise of AI-driven development, where programming evolves beyond traditional coding. Languages like Python, essential for AI and ML, will dominate, becoming a fundamental skill for professionals and even students. A compelling example is the UAE government’s initiative requiring children to learn Python from grade three onward. This signals a future where computational thinking is as essential as literacy, preparing generations for AI-driven problem-solving.

Another major trend is low-code/no-code development, which will revolutionise software creation. Previously, building applications required months of coding, but now businesses can generate solutions within hours using intuitive, AI-assisted platforms. Imagine a healthcare provider needing a custom patient management system. Instead of hiring developers for weeks of work, they use a no-code tool, simply describing their requirements, and the system is built instantly with automation, enhancing efficiency and accessibility.

Furthermore, the expansion of AI agents and robotics will disrupt industries in unimaginable ways. Customer service, logistics, and operations are already seeing automation take over routine tasks. In five years, AI-powered agents will handle complex interactions—from medical diagnostics to business negotiations—reshaping how organisations function.

However, the real challenge lies in execution. The winners in this transformation won’t just adopt new technologies; they will integrate them strategically, ensuring speed, efficiency, and security. Data remains the foundation, but AI-driven execution is the catalyst that will propel industries forward at unprecedented speeds.

The question is no longer “What technology to choose?” but “How fast can we adapt?” Those who master agility and innovation will lead the future.

 

How is the regulatory environment changing, and how are IT leaders navigating these regulatory shifts?

Absolutely! The regulatory landscape is evolving rapidly alongside technological advancements, and IT leaders must navigate this shifting environment with foresight, adaptability, and ethical responsibility.

One of the most significant regulatory transformations revolves around data protection and cybersecurity. Governments worldwide are establishing stringent policies to safeguard data from breaches, cyber threats, and unethical use. Take, for example, the Facebook data leak, which led to massive fines and scrutiny. Cases like this underscore the importance of regulatory frameworks ensuring that organisations handle data responsibly and transparently.

Beyond cybersecurity, AI governance is emerging as a crucial regulatory frontier. With AI-powered automation transforming industries, governments are working to set guidelines that prevent bias, misinformation, and unethical AI decision-making. IT leaders must incorporate ethical AI practices, ensuring their systems are fair, explainable, and compliant with global standards.

Another key aspect is cross-border data regulations. With international trade and digital transactions expanding, companies must align with regulations like the GDPR in Europe, CCPA in California, and APPI in Japan to avoid legal pitfalls. Organisations are increasingly investing in data governance frameworks, ensuring compliance while maintaining operational efficiency.

How IT leaders are navigating these shifts:

1. Proactive Compliance – Staying ahead of regulations by integrating compliance measures into system designs rather than reacting to legal changes.
2. Ethical Technology Implementation – Embedding responsible AI, cybersecurity protocols, and data protection policies into business strategies.
3. Cybersecurity Investment – Strengthening defences through advanced encryption, threat detection, and security audits to mitigate risks.
4. Transparent Communication – Educating users, customers, and stakeholders on data usage and privacy measures to build trust.

Ultimately, regulation is not just about restrictions—it is a framework for responsible innovation. The future belongs to businesses that embrace compliance as a strategic advantage, ensuring trust, security, and sustainability in the digital era.

 

How do you personally balance the need for innovation with the demand for stability and security in your IT systems?

Balancing innovation with stability and security is a strategic challenge that requires foresight, rigorous testing, and a deep understanding of both technological possibilities and regulatory constraints.

Innovation thrives when we push boundaries, explore new use cases, and leverage cutting-edge technologies to drive progress. However, with great potential comes responsibility. When developing new solutions, we must ensure they align with security laws, data protection frameworks, and ethical considerations. The challenge lies in anticipating potential breaches, not just from a technical standpoint but from a human one as well.

A powerful method I rely on is aggressive negative testing, specifically involving non-technical users. Why? Because technology professionals often think in logical sequences, following predefined paths. But real-world users can be unpredictable. Imagine designing a system where users are expected to follow a structured process. Now, place a non-technical individual in front of it—someone who may click buttons randomly, enter unexpected inputs, or even attempt to bypass restrictions. If there is a loophole, they will find it.

For example, when developing a financial transaction platform, one might focus primarily on encryption and fraud prevention mechanisms. However, a non-technical user might inadvertently expose a security flaw simply by interacting with the interface in ways we hadn’t anticipated. This is where innovation meets security—by proactively testing vulnerabilities before they become real threats.

To strike the right balance, I follow key principles:

1. Use-case-driven innovation – Every new technology must have a well-defined use case that justifies its existence.
2. Proactive security measures – Security must be embedded from the ground up, not added as an afterthought.
3. Ethical considerations – Innovation should be aligned with ethical and legal standards, preventing misuse.
4. Rigorous testing beyond expectations – Allow for unpredictable user behaviour to identify vulnerabilities early.
5. Future-proofing – Ensuring solutions not only work today but remain resilient as technology evolves.

In essence, innovation is not just about what can be done—it’s about what should be done responsibly. By mastering this balance, organisations can unlock breakthroughs while safeguarding integrity, security, and trust.

 

What do you consider to be the most critical skill for IT leaders today?

For me, the most critical skill for IT leaders today isn’t just technical expertise; it’s critical thinking, problem-solving, and a lifelong learning mindset.

Technology evolves at lightning speed, and the ability to analyse challenges, adapt quickly, and innovate solutions is what sets great leaders apart. Gone are the days when IT professionals simply mastered a programming language and stuck to it. The real survivors in the industry are those who think strategically, embrace complexity, and continuously evolve.

Take, for example, a scenario where an IT leader is faced with a major cybersecurity breach in their organisation. A traditional approach might focus solely on technical fixes—patching vulnerabilities and strengthening firewalls. But a true leader will go beyond that, critically analysing the root cause, anticipating future risks, and implementing a holistic security framework that not only resolves the issue but also strengthens the organisation for the long haul.

Another example is in AI-driven development. Many companies rush to adopt AI without fully understanding its capabilities or limitations. A forward-thinking IT leader will learn continuously, experiment responsibly, and build AI solutions that are both ethical and sustainable, ensuring that technology empowers rather than disrupts.

So, the most essential survival skill?

1. Critical Thinking – The ability to analyse complex situations and find effective solutions.
2. Problem-Solving Attitude – An approach that embraces challenges instead of fearing them.
3. Continuous Learning – Staying ahead by adapting, evolving, and mastering new technologies.

IT leaders who cultivate these skills don’t just survive the industry’s rapid transformation—they lead it.

 

What’s one question all IT leaders should be asking themselves today?

One of the most critical questions that IT leaders should be asking themselves today is:

“Are we shaping the future of AI, or is AI shaping us?”

AI is undeniably transforming industries, but the deeper question is how IT leaders choose to harness its power. Will we drive AI innovation responsibly, ensuring ethical and strategic implementation, or will we allow it to evolve unchecked, potentially leading to unintended consequences?

For example, consider the financial sector, where AI is being leveraged for automated trading and fraud detection. While these innovations enhance efficiency, IT leaders must ensure that ethical guardrails are in place, avoiding bias in algorithmic decision-making and preventing AI-driven financial instability.

Another key concern is the next generation of technology professionals. If AI and robotics dominate the IT landscape, what skills will future leaders need? The days of purely manual coding are fading, replaced by AI-assisted development, low-code platforms, and machine learning integration. IT leaders must ask: Are we preparing professionals for a future where creativity, strategic thinking, and ethical AI governance are just as vital as technical expertise?

Ultimately, the responsibility lies in balancing innovation with foresight. Technology should not just disrupt—it should empower. IT leaders must shape AI’s direction, ensuring it aligns with human progress, ethical standards, and a future where people, not machines, remain at the core of technological evolution.

 

That’s a powerful question for IT leaders to reflect on. You mentioned earlier, the next generation. What will our next generation look like? How do you approach maintaining and developing the next generation of leaders within the IT industry or within your IT teams?

Absolutely! The next generation of IT leaders will be defined by their speed of learning, adaptability, and ability to think beyond traditional job structures. Unlike previous generations, they won’t be content with mastering a single role—they will crave diverse experiences, rapid innovation, and multifaceted career paths.

To nurture this future talent, education must evolve beyond theoretical learning. Schools and institutions are already shifting towards hands-on, experiential learning, where students engage in real-world competitions, collaborate with industry leaders, and actively participate in technology discussions. For example, coding boot camps and hackathons have become key platforms for young minds to showcase creativity and problem-solving skills, rather than just memorising programming languages.

However, beyond technical proficiency, ethical responsibility must be ingrained early. While students can learn to build systems, they must also understand how to use technology responsibly—to drive innovation while mitigating risks such as cyber threats and data misuse. Imagine a young developer building an AI-driven automation tool—without ethical training, they may inadvertently create systems with biases or vulnerabilities. Teaching them the right way to innovate will ensure their work contributes positively to society.

For IT leaders looking to develop future talent, the key strategies are:

1. Expose young professionals to real-world challenges – Let them interact with emerging technologies early through internships, hackathons, and mentorship programs.
2. Encourage multidisciplinary learning – IT is not just about coding; understanding business, security, and ethical implications is equally critical.
3. Cultivate adaptability – Foster a mindset where young leaders embrace change, learn continuously, and seek diverse problem-solving approaches.
4. Promote ethical innovation – Guide them to use technology for the right purposes, ensuring their creations enhance industries rather than disrupt them negatively.

The future of IT will not be shaped by technology alone—it will be shaped by the vision and integrity of those who lead it forward. By investing in the next generation today, we secure a future of responsible, agile, and impactful innovation.

 

What’s been the most memorable insight or takeaway you’ve applied in your work?

One of the most memorable discussions I had was during a roundtable on cybersecurity approaches. It became evident how critical integration is in managing multiple technologies effectively. If an organisation operates with ten different modules spread across ten screens, the complexity can become overwhelming. Not only does it demand constant attention across multiple monitors, but it also increases the risk of missing critical alerts, where a delay of mere milliseconds can have significant consequences. The innovative solution? Consolidating all modules into a single, unified interface. This enables a clear, streamlined view of operations, allowing IT teams to act swiftly, minimise risk, and ensure security measures are proactively managed.

Beyond technology, the format of knowledge-sharing itself plays a vital role. Roundtables, unlike webinars or large-scale talks, foster intimate and highly interactive discussions. With 12 to 15 participants, the environment is conducive to real problem-solving. It’s not just about sharing theoretical insights—it’s about tangible solutions. What makes these discussions so valuable is the ability to exchange real-world experiences; for instance, a challenge one person is facing may be one I’ve already overcome in my organisation. Sharing firsthand strategies can help others navigate similar obstacles, making these roundtables a breeding ground for practical innovation.

These moments have shaped my perspective on collaborative learning, reinforcing that IT success isn’t just about technological advancement—it’s about leveraging collective expertise to build smarter, more secure, and efficient systems.

 

What advice would you give to people attending our events for the very first time?

Approach every discussion with an open mind; ask questions, engage, and share your thoughts. The real value lies in participation. If you hold back, your curiosity stays with you, and the insights you seek remain undiscovered. While no conversation guarantees a perfect solution, opening the floor to diverse perspectives can spark new ideas, offering fresh approaches to problem-solving that you may never have considered