meta_pixel
Tapesearch Logo
Log in
Technology Untangled

AI: Should you start looking for a new job?

Technology Untangled

Hewlett Packard Enterprise

Cloud Computing, Everything As A Service, Future Technology, Information Technology, New Innovations In Technology, It Consultant, Cloud Native, Containerisation, Iot, Disruptive Technologies Of The Future, Machine Learning, Neural Networks, Cool Tech, Latest Technology News, Virtual Machines, Gadget News, Hybrid Cloud, Internet Of Things, Technology Consulting, Hpe, Hewlett Packard Enterprise, New Technology 2020, Containers, Hci, Information And Communication Technology, Hyperconverged Infrastructure, Converged Infrastructure, It, Tech, Sustainable Tech, Digital Technology, Hp Hyper Converged Infrastructure, Enteprise It, Digital Transformation, Cloud Storage, Deep Learning, Tech News, It Management, News, Vmware, Artificial Intelligence, New Technology, Modern Technology, Sustainability, Technology, Hyperconvergence, Latest Technology, Disruptive Technology, It News, Saas, Business Continuity, Network Security, Technology Software, Hyper Converged Infrastructure Vendors, Xaas, Software As A Service, Circular Economy, Advanced Technology, Technology Scouting, Technical Engineering, Most Innovative Tech Companies, Educational Technology, Autonomous Vehicles, Cloud Architecture, Ict, New Technology 2021, Tech Solutions, Science And Technology, Technology Design, Infrastructure As A Service, System Technology, Cloud, Dhci

5.069 Ratings

🗓️ 7 July 2020

⏱️ 30 minutes

🧾️ Download transcript

Summary

Is artificial intelligence really going to change the way we live and work, or are the supposed possibilities no more than seductive PR? In this episode, alongside chief technologist Matt Armstrong-Barnes, we trace AI's technological leaps from Alan Turing to AlexNet via Dartmouth University. We map out the innovations impacting organisations right now by untangling strong and narrow AI, machine learning, deep learning, and artificial neural networks. From cybersecurity to big data, we ponder the good, the bad, and the uncanny side of AI; how to tread the ethical tightrope; and identify implementation tactics applicable to organisations of any size.

Transcript

Click on a timestamp to play from that location

0:00.0

Artificial intelligence is everywhere, seamlessly woven into our lives to such an extent that we often don't notice it.

0:10.0

If you're on social media, you're using AI.

0:14.0

When you ask your smart device to play your 80s disco playlist, you're using AI.

0:20.0

Your email inbox, your dating apps and your

0:23.5

self-parking car, you guessed it, it's all AI. And it's beating us at computer games. It's

0:30.9

writing poetry and even helping radiologists to predict cancer. And it's pretty likely that AI even recommended this podcast to you.

0:41.8

And when it comes to organisations, AI is already deeply entrenched.

0:48.2

Critically, what we see is AI is now accounting for about 40% of all digital transformation initiatives.

0:55.7

The voice you're hearing is Matt.

0:58.2

Matt Armstrong Barnes, Hewlett Packard Enterprise, Chief Technologist for Artificent Intelligence

1:02.9

in the UK and Ireland.

1:04.4

Perfect.

1:05.3

And how did you get to where you are today?

1:08.6

Over his 25 years in the IT industry, Matt's seen artificial intelligence evolved from being

1:14.5

almost the wild west of science to a major priority for organisations of any size.

1:20.8

With Matt's expertise, we'll be attempting to answer some of the big questions affecting

1:24.8

organisations and individuals, such as what are the capabilities

1:29.3

and limits of today's tech? Can computer programs feel empathy? Which parts of our organization

1:36.2

are we going to hand over to automation? And should I start looking for a new job? All this and much more.

1:44.0

I'm Michael Bird and this is technology

1:46.5

untangled. The volume of use cases that you've got with AI is pretty much limited by your

1:55.3

imagination. So it really is a case of how you can take this technology and make it most effective in your

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from Hewlett Packard Enterprise, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Hewlett Packard Enterprise and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.