From security issues and operational costs, to innovating for the future, Nia Batten, Head of Cloud and Platforms at esynergy, explains why transitioning away from legacy tech is so important.
Tag: Machine Learning
Mark Yeeles, VP for Schneider Electric’s Secure Power Division in the UK and Ireland, shares his first impressions of the data centre industry and the key challenges it’s facing.
Manikandan Thangaraj, Vice President at ManageEngine, explores how AI can make data backup solutions more efficient.
Steve Wilcockson, Data Science expert at KX, talks about the latest developments in AI, machine learning and self-learning, and the one thing that still manages to elude most of these technologies: accuracy.
Juras Juršėnas, COO at Oxylabs, explores the ways in which we can take efficient strategies from machine learning models and apply them to rule-based systems.
James Corcoran, SVP of Customer Value at KX, offers some key considerations for taking real-time data analytics to the cloud.
AI-powered DCIM solutions are paving the way towards building autopoietic data centres, writes Rajkumar Vijayarangakannan, Technical Evangelist at ManageEngine.
Yann Le Borgne, International VP Threat Intelligence Engineering at Threat Quotient, explores the issues around finding the right strategy for automating cybersecurity.
Paul Lewis, Senior Operations Director at Telehouse, explores how robotics can enhance the efficiency and safety of data centre operations.
Could AI be the foundation for the future digital economy? Steve Young, UKI Sales Engineering Director at Commvault, takes a look.