Interviews

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Apptio: Why scaling intelligent automation requires financial rigour

Greg Holmes, Field CTO for EMEA at Apptio, an IBM company, argues that successfully scaling intelligent automation requires financial rigour. The “build it and they will come” model of technology adoption often leaves a hole in the budget when applied to automation. Executives frequently find that successful pilot programmes do not translate into sustainable enterprise-wide […]

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Franny Hsiao, Salesforce: Scaling enterprise AI

Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in

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Inside Standard Chartered’s approach to running AI under privacy rules

For banks trying to put AI into real use, the hardest questions often come before any model is trained. Can the data be used at all? Where is it allowed to be stored? Who is responsible once the system goes live? At Standard Chartered, these privacy-driven questions now shape how AI systems are built, and

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Expereo: Enterprise connectivity amid AI surge with ‘visibility at the speed of life’

AI continues to reshape technology and business; yet for the network, enterprise connectivity in the AI age means being always-on, and extra vigilant for sovereignty and security besides. This means that speed is not the only requirement. As Julian Skeels, chief digital officer at Expereo notes, it is more about ‘certainty.’ “AI workloads are distributed,

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Top 100 Data Science Interview Questions and Answers (2026 Edition)

Imagine stepping into your first data science interview—your palms are sweaty, your mind racing, and then… you get a question you actually know the answer to. That’s the power of preparation. With data science reshaping how businesses make decisions, the race to hire skilled data scientists is more intense than ever. For freshers, standing out

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Allister Frost, a former Microsoft leader and expert on business transformation.

Allister Frost: Tackling workforce anxiety for AI integration success

Navigating workforce anxiety remains a primary challenge for leaders as AI integration defines modern enterprise success. For enterprise leaders, deploying AI is less a technical hurdle than a complex exercise in change management. The reality for many organisations is that, while algorithms offer efficiency, the human element dictates the speed of adoption. Data from the

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Ishu Anand Jaiswal, Senior Engineering Leader — Owning Outcomes, Customer-Facing Systems, Trust Over Speed, Scaling Systems, AI with Guardrails, Lasting Impact

In this interview, we speak with Ishu Anand Jaiswal, a Senior Engineering Leader whose work has shaped large-scale, customer-facing systems at Apple, including global platforms used by millions. Drawing on more than 18 years of experience, Ishu reflects on the shift from building components to owning full systems with real business impact. The conversation explores

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Kfir Aberman, Founding Member at Decart — Real-Time Generative Video, GPU Optimization, Personalization, and the Future of Interactive AI

In this interview, we speak with Kfir Aberman, Founding Member at Decart, a company focused on bringing real-time performance to generative video systems. Drawing on his research background at Google and Snap, Kfir shares how Decart is prioritizing latency, personalization, and deployment pragmatism in a field largely centered on offline quality gains. The conversation explores

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Omri Kohl, CEO & Co-Founder of Pyramid Analytics — AI’s Impact on Data Analytics, Decision Intelligence, Citizen Analysts, ROI, Scaling AI, and Emerging Trends

In this interview, we speak with Omri Kohl, CEO and Co-Founder of Pyramid Analytics, a company shaping the future of enterprise decision intelligence. Omri discusses why AI alone can’t fix fragmented analytics environments, what the rise of citizen analysts means for governance, and how unified semantic layers will define the next era of data-driven organizations.

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Edge AI inside the human body: Cochlear’s machine learning implant breakthrough

The next frontier for edge AI medical devices isn’t wearables or bedside monitors—it’s inside the human body itself. Cochlear’s newly launched Nucleus Nexa System represents the first cochlear implant capable of running machine learning algorithms while managing extreme power constraints, storing personalised data on-device, and receiving over-the-air firmware updates to improve its AI models over time. For AI

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