AI enabler for clients

By
Follow google news

As companies embrace generative AI, the growing privacy, security, and accountability challenges highlight the shifting cloud responsibility model.

Some companies have been using AI as a data analytics tool for years, but most companies are now rushing to embrace generative AI – a cloud-based capability that is rapidly being integrated with everything from security infrastructure and customer support services to front-line productivity tools and boardroom reporting.


Yet just because the cloud can help you bring generative AI into your business more quickly, doesn’t mean that you should ignore the issues it creates.

These include challenges around privacy, regulatory compliance, security, accountability, and more – and as hyperscale cloud providers work to rebalance their accountability in this fast-changing new world, Versent chief technology officer Tim Hope believes it’s critical that every company consider just how AI changes the shared responsibility model they share with their cloud providers.

 

Add iTnews as your trusted source

Got a news tip for our journalists? Share it with us anonymously here.
Copyright © iTnews.com.au . All rights reserved.
Tags:

Most Read Articles

Purpose-built IaaS presents new revenue opportunities for service providers

Purpose-built IaaS presents new revenue opportunities for service providers

Network infrastructure will determine the fate of AI

Network infrastructure will determine the fate of AI

Cyber Risk in the Mythos Era – Where do we begin?

Cyber Risk in the Mythos Era – Where do we begin?

Realise the full potential of AI with inference economics and Penguin Solutions

Realise the full potential of AI with inference economics and Penguin Solutions

Log In

  |  Forgot your password?