In this episode we are looking at why people are moving away from Virtual Private Networks, or VPNs, and are navigating towards Zero Trust Network Access, or ZTNAs.

VPNs have largely been unchallenged as the go-to cyber security option for organisations since they first came about in the mid-1990s. However, they do have security flaws which have been exploited by hackers and cyber criminals, leading many to ask whether there’s a more secure solution.

Joining us to discuss why ZTNA is becoming a more popular security option for organisations is Jaye Tillson, HPE’s Director of Strategy in Cyber Security.

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About the expert: https://www.linkedin.com/in/jaye-tillson/?originalSubdomain=uk

Sources and statistics cited in this episode:
No more Chewy Cnetres: https://www.forrester.com/report/No-More-Chewy-Centers-The-Zero-Trust-Model-Of-Information-Security/RES56682
Revenue generated by the virtual private network (VPN) market worldwide: https://www.statista.com/statistics/542817/worldwide-virtual-private-network-market/
Statistics on ZTNA market share: https://www.kuppingercole.com/press-release/market-sizing-ztna
Forbes report on VPN data leaks: https://www.forbes.com/advisor/business/vpn-statistics/
ICS2 report on users’ cloud security fears: https://www.statista.com/statistics/1172265/biggest-cloud-security-concerns-in-2020/
“String Quartet No. 1, 'Polar Energy Budget.”: https://www.youtube.com/watch?v=Tulsx2wt3qU
Composing music from climate data: https://www.cell.com/iscience/fulltext/S2589-0042(24)00844-7?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2589004224008447%3Fshowall%3Dtrue

We're celebrating May the 4th be with you. Yes, it's Star Wars Day and we've been given incredible behind the scenes access at none other than Star Wars: Galaxy's Edge at Walt Disney World Resort in Florida.

Courtesy of Jose Corpuz, Principal Software Engineer with Global Engineering Technology and Analysis with Walt Disney Parks and Resorts, we've been given an exclusive behind-the-scenes tour of the tech that makes this one of the most immersive theme park experiences of its kind anywhere in the world. This is one you don't want to miss!

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

About this week's guest: https://www.linkedin.com/in/jose-corpuz-a23533/

More about Star Wars: Galaxy's Edge: https://www.hpe.com/psnow/doc/a00083951enw

Today we’re discussing synthetic data - that is, data trained by AI and computer simulations, rather than gathered from the real world.
Now, generating theoretical data is nothing new - we’ve been taking small samples of things and extrapolating from it for decades. However, with the advent of AI we don’t necessarily just need to extrapolate. We can generate completely new, close-to-real data using AI.

But why? And why does it matter? To explain we’re joined by Chief Technology Officer for AI at Hewlett Packard Enterprise, Matt Armstrong-Barnes

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About the expert: https://uk.linkedin.com/in/mattarmstrongbarnes

Sources and statistics cited in this episode:
Mendelev’s predicted elements: https://web.archive.org/web/20081217080509/http://www.scs.uiuc.edu/~mainzv/HIST/awards/OPA%20Papers/2005-Kaji.pdf
Rubin’s proposal and method for synthetic data: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/discussion-statistical-disclosure-limitation2.pdf
NASA directed to create Lunar time: https://www.reuters.com/science/white-house-directs-nasa-create-time-standard-moon-2024-04-02/