Enterprise Applications

A new McKinsey Global Survey on AI reveals that organizations are making structural changes to generate value from generative AI, with large companies leading the transformation. The comprehensive survey gathered insights from 1,491 participants across 101 nations.

New research from cybersecurity firm Netskope reveals a dramatic 30-fold increase in enterprise data being sent to generative AI applications over the past year, raising significant security concerns for organizations worldwide.

Western Australia's Department of Health has released an invitation for expressions of interest for a statewide Electronic Medical Record (EMR) solution, marking a significant step in the state's healthcare digital transformation journey.

Microsoft’s AI chatbot-turned-full system integration “Copilot” is quickly becoming commonplace in many workplaces. The AI software is capable of a range of tasks, from summarising large documents to automating repetitive tasks across different applications. 

Hyland has unveiled new AI advancements to Hyland Automate and Hyland Knowledge Discovery, along with major updates to its core products Hyland OnBase and Hyland Alfresco.

Information Leadership has unveiled iWorkplace Elements, a new self-service solution designed to help organizations regain control of their Microsoft 365 environments following rapid cloud migrations during the COVID-19 pandemic.

There is a significant disconnect between businesses' ambitions for AI and their investment in compliance and risk mitigation, according to the Ataccama Data Trust Report 2025: Turning Compliance and Risk Mitigation into a Foundation for Strategic AI, which found that that one in five businesses lack a data governance framework.

Dynamsoft has announced the release of its completely redesigned Mobile Web Capture SDK. This latest version offers significant enhancements aimed at accelerating development, ensuring consistency, and improving usability.

As the modern organisation enters a new phase of technological evolution with the widespread move towards smarter systems based upon Artificial Intelligence (AI) and Large Language Models (LLMs), the volume and accessibility of data with which to feed these systems will become critical.

After a year of shoehorning generative AI into its flagship products, Microsoft is trying to recoup the costs by raising prices, putting ads in products, and cancelling data centre leases. Google is making similar moves, adding unavoidable AI features to its Workspace service while increasing prices.

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