Insights & Research

Conversations at this two-day digital event centered around how to extract maximum value from financial services AI and analytics initiatives With the World Economic Forum reporting that 64% of financ[...] Read More

The threats ethical challenges pose to public trust in AI systems are growing rapidly as organizations deploy these technologies in ever more sophisticated ways As the impact AI technologies have on p[...] Read More

HPE Global Field CTO Matt Maccaux explored why so many enterprises struggle to operationalize AI in his 2020 Data Champions Online US keynote presentation Why Enterprises Struggle to Industrialize AI [...] Read More

Sophisticated ML-as-a-service platforms such as Facebook’s FBLearner Flow are ideal for delivering AI-at-scale. But the data architectures that feed into them are just as vital Automation is what AI a[...] Read More

Aligning projects with business goals and expanding them in a structured way is vital when delivering AI-at-scale Applying AI models at scale is one of the most cost-effective ways to drive ROI with t[...] Read More

Scaling AI capabilities across an entire organization is the best way to unleash the technology’s true potential to drive ROI AI will add more than $13 trillion to the global economy over the next dec[...] Read More

Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and ana[...] Read More

If there was ever any doubt that AI will revolutionize the healthcare industry, Google Health dispelled it with its latest research paper. Nature reports that the company has developed an AI program t[...] Read More

AI is coming to disrupt the insurance industry. From Ping An in China to Lemonade in the US, companies across the globe are harnessing AI technologies to drag the sector into the 21st century. Read More

AI looks set to become an integral part of modern business. Our latest benchmarking survey of more than 600 global data and analytics leaders shows that 80% have already deployed machine learning (ML)[...] Read More