How UK SMEs can balance AI adoption and security
Is the speed of AI development leaving UK SMEs struggling to plug security gaps, asks Sean Gill, Head of Sales, Europe at JumpCloud.
Is the speed of AI development leaving UK SMEs struggling to plug security gaps, asks Sean Gill, Head of Sales, Europe at JumpCloud.
Fabrizio Garrone, Enterprise Solutions Director at Aruba S.p.A, explores the rise of private AI and its role in the European landscape.
Alan Jacobson, Chief Data and Analytics Officer at Alteryx, offers advice for IT leaders on modernising data stacks for generative AI success.
Lorri Janssen-Anessi, Director of External Cyber Assessments at BlueVoyant, explores how AI can be used to enhance both cyber-attacks and defences, and what’s in store for the ongoing cybersecurity arms race.
AI has the potential to transform every aspect of business, from security to productivity. Yet companies’ rush to exploit innovation is creating unknown risks that require urgent attention, argues Mark Grindey, CEO at Zeus Cloud.
Andy Connor, Channel Director EMEA at Subzero Engineering, explores the role AI plays in technology’s demand for power, as well as its huge potential in advancing sustainability efforts.
With the advent of AI, the landscape of data protection and regulation is rapidly evolving. Here, experts weigh in on the current challenges, and how industry leaders can balance innovation with safety.
In the AI era, criteria for data centre site selection are evolving to factor in ESG commitments, as well as increased demand for power driven in part by a need for additional cooling. Michael Walker, Consultant at BCS, takes a look at the impact this is having.
Pavan Bedadala, Senior Director, Product Management at Commvault, outlines how to avoid pitfalls and common problems by taking a considered approach in the first 60 days of an AI journey.
Andy Baillie, VP of UK and Ireland at Semarchy, and Callum MacBurnie, Chief Revenue Officer at Amplifi, explore some key use cases where AI’s potential can be unlocked through robust data management practices.
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