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Most organisations that say they “use AI” still struggle to convert experiments into measurable business outcomes — and the practical lessons from Sigma Software Group underline why the gap is organisational, not just technical. Background / Overview The rush to deploy generative AI (GenAI) and...

As Artificial Intelligence continues to reshape industries, the race to acquire credible, job‑ready AI skills has become a defining element of professional development in 2026. BusinessDay’s roundup highlights a practical shortlist of globally recognised certification programmes — from cloud...

Origin Digital’s announcement that it has earned Microsoft’s Advanced Specialization for AI Platform on Microsoft Azure marks a clear signal: the company has passed Microsoft’s audit gates and is positioning itself as a validated partner for production‑grade AI work on Azure, promising customers...

Success in enterprise AI now hinges less on novelty and more on operationalization: the ability to scale models, embed them into everyday workflows, and govern them across hybrid and regulated environments — a reality underscored by recent industry lists and vendor metrics that place Microsoft...

Hexagon Robotics’ new strategic partnership with Microsoft aims to turn humanoid robots from staged demos into production-ready automation — pairing Hexagon’s AEON humanoid, sensor-fusion and spatial-intelligence stack with Microsoft Azure, Microsoft Fabric Real‑Time Intelligence, and Azure IoT...

Hexagon Robotics’ announcement of a strategic partnership with Microsoft marks a major step in the race to industrialize humanoid robotics—pairing Hexagon’s AEON humanoid and sensor-fusion stack with Microsoft Azure, Fabric Real‑Time Intelligence, and Azure IoT operations to deliver...

The data are merciless: an MIT study of enterprise generative-AI efforts found that roughly 95% of pilots and internal projects delivered no measurable P&L impact, and that organisations that did break through overwhelmingly did so by partnering with outside specialists rather than trying to...

Microsoft’s argument that “algorithms are worthless without data” has become a de facto maxim for every organization attempting to move from pilot projects to enterprise-grade, AI-driven operations, and nowhere is that truth more practical than in the Azure Data Analytics stack. The cloud...

The ML services market in 2025 is being shaped by a familiar mix of hyperscale cloud providers, consulting powerhouses, and specialised AI vendors — a group Analytics Insight identified in its “Top 10 ML Development Companies of 2025” roundup — but the story beneath the headline is more nuanced...

Microsoft’s latest expansion of the Azure AI platform is another clear signal that the company is aggressively bundling machine learning, data analytics, and enterprise governance into a single cloud-first toolkit aimed at speeding adoption while lowering operational friction for IT and data...

Cognizant has agreed to buy 3Cloud, the high‑growth Microsoft Azure specialist, in a deal the companies say will accelerate enterprise AI readiness by combining 3Cloud’s deep Azure, data and AI engineering bench with Cognizant’s global scale and industry go‑to‑market — a move that, if completed...

Microsoft and Anyscale have quietly moved one of the most important pieces of the AI infrastructure stack — Ray, the Python-native distributed compute engine — from community-managed deployments into a first‑party, managed experience on Azure Kubernetes Service (AKS), with a private preview that...

Being “AI‑ready” is no longer marketing speak — it’s a practical, measurable condition that separates projects that deliver value from pilots that quietly die in “proof‑of‑concept” limbo. The term has become shorthand for a set of architectural, operational, cultural and governance capabilities...

Checkout.com’s decision to adopt Microsoft Azure as the backbone for its AI-driven payments platform marks a clear inflection point in enterprise payments infrastructure — a multi-year technology collaboration that promises faster, more secure and more scalable payment flows for major merchants...

AI is no longer an optional add‑on — it’s the toolkit that turns ordinary applications into intelligent, context‑aware systems that can read, speak, predict and automate at scale. In a crowded market of frameworks, cloud services and low‑code platforms, picking the right AI development tool is...

Microsoft’s latest wave of enhancements to Azure Machine Learning sharpens the platform’s edge for enterprise AI: tighter integrations with Microsoft business applications, stronger MLOps and governance controls, no-code AutoML expansion, and clearer model explainability tools aimed at reducing...

Principled Technologies’ recent press materials argue that adopting a single‑cloud approach for AI on Microsoft Azure can produce measurable gains in performance, manageability, and cost predictability — but those headline claims come with important caveats and require careful validation before...

A new Principled Technologies (PT) study — circulated as a press release and picked up by partner outlets — argues that adopting a single‑cloud approach for AI on Microsoft Azure can produce concrete benefits in performance, manageability, and cost predictability, while also leaving room for...

Seneca Polytechnic has taken a significant step into graduate education with the public launch of its first-ever master’s degree: the Master of Artificial Intelligence Design & Development. The program — positioned as an industry-focused, work-integrated pathway into AI careers — promises deep...

The contours of the modern Executive MBA are shifting faster than most curricula can keep up: AI is no longer a future elective tucked into an optional module, it’s becoming an operational competency that executive programs are expected to deliver as a core outcome. Recent industry and academic...