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Best four sales PoC tools in 2025

The modern sales landscape is evolving rapidly. Complex buying cycles, high customer expectations, and sophisticated products have made traditional “pitch and close” tactics obsolete. Today, sales professionals must demonstrate tangible value to prospects before closing a deal. This is where proof of concept (PoC) tools take centre stage. A sales PoC is an important bridge […]

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Zuckerberg’s US$15b bet: How Meta’s ‘Superintelligence Labs’ became Silicon Valley’s most expensive AI talent war

Mark Zuckerberg has a history of making audacious bets that reshape entire industries – and losing spectacularly when they don’t pan out. After burning through US$46 billion on the metaverse with little to show for it, the Meta CEO is now doubling down with an even more ambitious wager: superintelligence AI. This time, however, the

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FDA’s draft guidance on AI/ML has startups on high alert

Author, Eric Elsen, Forte Group. On January 7, 2025, the US Food and Drug Administration (FDA) released draft guidance titled “Artificial Intelligence and Machine Learning in Software as a Medical Device”. The document outlines expectations for pre-market applications and lifecycle management of AI-enabled medical software. While the document may have flown under many readers’ radar,

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IBM Power11 targets enterprise AI adoption with zero-downtime architecture

IBM’s Power11 enterprise servers address a persistent challenge in enterprise computing: how to deploy AI workloads without compromising the rock-solid reliability that mission-critical applications demand. Announced on July 8, 2025, the Power11 reflects IBM’s bet that enterprises will prioritise integrated solutions over the current patchwork of specialised AI hardware and traditional servers that many organisations

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Google’s open MedGemma AI models could transform healthcare

Instead of keeping their new MedGemma AI models locked behind expensive APIs, Google will hand these powerful tools to healthcare developers. The new arrivals are called MedGemma 27B Multimodal and MedSigLIP and they’re part of Google’s growing collection of open-source healthcare AI models. What makes these special isn’t just their technical prowess, but the fact

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