AI Leadership & Perspective
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An AI-Led Path to Modernizing Airline Business Platforms
The global airline industry is standing at an inflection point, after being constrained for decades by heavy regulation, slim profits,…
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AI as a Product, Why Enterprise AI Must Move Beyond Pilots to Deliver Real Business Impact
As enterprises accelerate AI adoption, many initiatives still struggle to move beyond pilots and proof of concepts. In this interview…
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Building an AI-Ready Organisation: Lessons from Sigma Software Group
Most companies now claim to adopt AI, yet few can demonstrate tangible business results. According to McKinsey & Company, 88% of…
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Why AI Fails Without Data Foundations: Lessons from Building Platforms in Regulated Industries
Aniket Abhishek Soni is a Senior Data Engineer and researcher with more than six years of experience designing and leading…
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AI is forcing Retail Traders to Think Like Quants, Not Influencers
Finance Marketer Ivan Patriki and his co-founders have already started to leverage AI and machine learning models to bring quantitative…
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What Compliance Automation Actually Looks Like Inside a Large Tech Company
Compliance teams at large technology companies operate under a level of regulatory scrutiny that most organizations never encounter. FTC settlements,…
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Four Industries, One Pattern: Why Enterprise AI Products Keep Failing for the Same Reasons
Ankit Raheja has spent 13 years building AI and ML products in places where the technology had to earn its…
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AI, Precision Oncology, and the Enduring Value of Clinically Validated Functional Cancer Models
Over the next two decades, precision oncology will be reshaped by artificial intelligence. AI systems capable of modeling tumor evolution, predicting drug responses,…
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