Enterprise CRM programs no longer fail because teams lack software. They fail because sales, service, product, finance, and data teams still work from fragmented signals. Leaders spend on platforms, integrations, and reporting layers, yet sellers still lose time updating records, chasing context, and interpreting pipeline risk. That gap now defines the next phase of CRM

An uncomfortable truth for the higher education sector is that artificial intelligence is reshaping how work gets done. Graduates will need to enter AI-enabled workplaces with a clear sense of how to work alongside intelligent systems, and millions of experienced professionals are going to require reskilling. Yet our institutions are not preparing new students or

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[The content of this article has been produced by our advertising partner.] Businesses now operate in an increasingly unpredictable environment. Artificial intelligence (AI) is poised to help navigate turbulence, but its value is more evident in optimising business under stable circumstances. This is not surprising since corporate AI investment, such as from big pharma to

Sovanlal Mukherjee, Senior Scientist at Mayo Clinic, shared a post on LinkedIn: “I’m excited to share our latest publication in npj Precision Oncology (Nature Portfolio). Pancreatic ductal adenocarcinoma (PDAC) remains one of the most challenging cancers to assess accurately on CT. Reliable volumetric tumor segmentation is essential for quantitative imaging, radiomics, treatment response assessment, and

In the pursuit of more robust and adaptable AI agents, the concept of continual learning is paramount. Soheil Feizi, Founder & Chief Scientist at RELAI and Associate Professor in Computer Science at the University of Maryland, recently delved into this critical area. His presentation, "Continual Learning for AI Agents: From Failures to Durable Improvements," outlined

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Following the Trump directive that led Anthropic to pull its latest AI models offline and growing calls for sovereign tech that reduces reliance on the U.S., Mistral AI has been caught in a whirlwind of attention. But the French AI darling is often misunderstood, and the fact that it develops large language models (LLMs) has