Sid Bhatia
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Articles by Sid Bhatia
How Middle East Businesses Can Scale Agentic AI Without Losing Control
As enterprises move agentic AI from pilots into production, governance is becoming central to whether autonomous systems can scale safely and deliver measurable business value. Sid Bhatia argues that organizations need clear accountability, limited permissions, real-time monitoring, and human intervention built into AI agents from the outset.
Agentic AI Ticks 3 Architectural Boxes for Success
Home » Expert opinion » 3 Architectural Boxes to Tick for Agentic AI Success Agentic AI is set to outpace GenAI in growth. Learn the 3 architectural essentials every organization must adopt to stay ahead of the AI curve. In the United Arab Emirates (UAE), AI is now an everyday tool. We use it as individuals, and we use it as professionals.
The Chief AI Officer: Much-needed wrangler for a wild stallion, or unnecessary stable hand?
Read next story Across the GCC, progress in AI adoption continues at breakneck speed. Prior to the ascendancy of generative AI (GenAI), McKinsey predicted that the combined GDP of the Arab Gulf region could rise by 9% because of artificial intelligence (extra “value” of $150 billion, according to analysts).
Survival (of the `Fit`Test);
What do you see? Nay, what do you perceive? What do you hear? Nay, what do you listen? You must engage all of The Senses if you wish to (sur)vive. I plead of you…you must. Without our darling perceptions, we succumb to the atrocities of . What is the floating spherical celestial body which circumvents in an elliptic fashion around a devastatingly, dogmatic pit of fire, destruction, and nuclear fission?
The Transform(ers);
No, this is not Optimus Prime and his buddy Bumblebee with Megan Fox flipping her hair back. Nor is this Abraham Maslow describing the pinnacle / epitome of The Human Condition in his 1939 paper : Psychology of Motivation. This is about us. The Everyman, The Layman, The Man[Kind]. However, let’s not forget what comprises of ManKind — not just men (or lack thereof) but women and people. As such, we transform nearly every second of every day.
4 PILLARS ON WHICH GCC BANKS CAN FINALLY BUILD THEIR EVERYDAY AI HOUSE
By Arvind Kashyap, CEO, NewTech Insurance Brokers As one of the oldest industries in the world, the insurance sector has weathered exponential global crises by constantly adapting to evolving consumer expectations and technological advancements. Over the years, the industry has succeeded in overcoming key bottlenecks such as lengthy paperwork, cumbersome processes, and limited customer interaction by embracing the power of digitisation.
As Generative AI grips the region, steps needed to ensure its responsible use
Generative AI may still receive lukewarm treatment in some parts of the world as risk-averse organizations poke and prod to find its limitations, but in the Arabian Gulf, where early adoption is a tradition, we are further along the road.
7 Phases for Success, with or without Generative AI
Learn the seven crucial phases for a successful analytics project, whether integrating Generative AI or not. From data-gathering techniques to effective visualisation and predictive analysis, this guide by Sid Bhatia provides valuable insights for mastering analytics projects. Have you decided that you want to take part in the GCC’s projected $2 billion generative AI market? Or indeed, do you want to get involved, in any capacity, in the region’s overall AI market, expected to reach $7 billion?
Five Tips for Skating Along the Maturity Curve to Everyday AI
There is barely a living room or a board room in the GCC, where AI is not intensely discussed daily. Lately, discussions have morphed from “Should we use it?” to “How do we use it?”. This will inevitably set many on a path to becoming part of a new era of Everyday AI, in which the organisation’s maturity is maximised, and AI becomes part of its lifeblood. From education and initial steps to scaling up and transforming the enterprise, care must be taken.
AI is to a recession what AC is to a hot summer - indispensable
Skip to content Home » Emergent Tech » AI is to a recession what AC is to a hot summer – indispensable The UAE inflation rate is forecast to average 3.2% this year, a considerable dip from its 2022 peak of around 6.8% in the second quarter. While these figures are orders of magnitude less unsettling than those in the US and Europe, the economy is now undeniably global, so UAE business leaders are not immune to western instability. Recessions have been a recurring global phenomenon since 2008.
Fairness should be the foundation of AI, not a decorative afterthought
At Dataiku, we like to talk about Everyday AI. This is a way of expressing the culture change that needs to occur before investments in artificial intelligence can pay off. Everyone from the boardroom to the frontlines needs to be thinking about data — how and when they collect it, how and when they process it, and how and where they secure it.
Tips For Becoming A Successful Data Analyst
Pause a moment to consider what it takes to keep an economy growing in the digital era. Let’s take the United Arab Emirates for our model. The government here is in no doubt that technology must play a starring role. The UAE Digital Economy Strategy is focused on doubling the digital economy’s contribution to non-oil GDP over the next decade.
Making your organization an AI talent factory
By: Sid Bhatia, Regional Vice President, Middle East & Turkey, Dataiku If there is one thing all regional technologists agree on, it is the presence of a shortfall in high-end talent. Digital skills in general are in short supply, but the ratio of available roles to qualified candidates for expert positions is particularly high. Across the region, governments, businesses, and non-profits are crying out for AI specialists and data scientists.
The AI talent factory - what it is and how to build it
If there is one thing all regional technologists agree on, it is the presence of a shortfall in high–end talent. Digital skills in general are in short supply, but the ratio of available roles to qualified candidates for expert positions is particularly high. Across the region, governments, businesses, and non–profits are crying out for artificial intelligence (AI) specialists and data scientists. The future depends upon leveraging AI to solve problems that humans, on their own, cannot.
Responsibility is the central tenet of a functioning society. The UAE was a world leader in Covid response because the government ensured we all wore masks, stayed a safe distance from one another, worked from home where possible, and got vaccinated when vaccines became available. A shared sense of responsibility got us through one of the darkest times in living memory, so it is appropriate that we examine the technologies we use daily through the lens of responsibility.
To master AI as a revenue catalyst requires first understanding its costs
Almost immediately after it became apparent that the world was changing under our feet, artificial intelligence (AI) emerged as an enabler across the region. Suddenly, these technologies were not just being advocated by their vendors, but by analysts who pointed out that AI could help not only with battling the Covid pandemic, but in fomenting slick, robust economic recovery. Each industry could do something concrete to reinvent itself in the wake of seismic shifts in customer needs.
The path to responsible AI
Artificial intelligence (AI) solves real-world problems. We know this. We have seen it. Last year, we saw droves of regional businesses move to the cloud and, once there, realise that scalable, affordable smart technologies were within reach. Proofs of concept quickly followed, as did several success stories. And then, as AI grew in popularity, a concept that had largely been the subject of conversation among tech experts began to go mainstream. That concept is “responsible AI”.
Show your work! Why explainable AI is crucial for sustainable adoption
technology|01 April, 2021 As the regional vice president for the Middle East & Turkey at Dataiku, Sid Bhatia works strategically with C-suite executives at some of the best-known data-driven organizations in the region. He brings close to a decade and a half of sales leadership and management experience in the information management and analytics space, having worked with companies like IBM, Cloudera and Sybase (SAP), before joining Dataiku.
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