AI in web dev changes WCM, impacting digital, web, UX, content, and e-commerce. Assess infrastructure, pilot projects, and invest in skills.
Graph AI is finally here, and it promises to fix many of the problems in current retrieval, augmenting generation AI services and improving accuracy, context, and reasoning capabilities.
The era of deep collaboration and democratised data analytics forces two very different disciplines – knowledge management and data management – together. A surplus of idealised hype and a lack of practical technologies add pressure.
The growth of digital content has made it increasingly challenging for organisations to manage their information assets effectively. What is IT’s critical role in developing and implementing strategies to manage content chaos and information hyperinflation?
Unlock valuable insights on information management strategies in the era of information hyperinflation. Gain expert recommendations for navigating data governance challenges.
How one of Asia’s largest newspaper CIOs found entirely new business opportunities for the company’s huge content repository by leveraging ICT.
Search is evolving from simple keyword matching that returns ranked results, to an experience that provides more relevant information and delivers information within the context of a conversational query.
AI-infused information management tools are already in the market and more are expected. However, AI will not solve the issues that are crushing information management teams and leaving organisations exposed to increasingly fractured information governance practices.
A growing amount of IT research discusses how artificial intelligence (AI) tools may support effective information management (IM), often through process automation. This is valid. But so is the inverse proposition, that effective IM supports productive use of AI and reduces its risks. Do not assume there is a one-way street: examine how enhancing IM practices now may support current and future AI initiatives.
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