06
TECHNOLOGISTS ISSUE CALL TO ACTION: EMBRACE AI BY DAVID WOOD
Avid’s Kevin Riley has urged the industry to set aside concerns about artifi cial intelligence and to embrace the technology to discover where it can lead. “Don’t be afraid of this – we have to embrace it. While there is a lot of concern in the industry about jobs being lost because of AI, in my view jobs don’t go away, they just change,” said Riley, Chief Technology Offi cer and SVP of Technology & Innovation at Avid. He added: “The cloud was [similarly] viewed as a massive disruptor, but what has happened already is that there are a bunch of new jobs being created – and the same thing is going to happen with AI.” Vince Silvestri, VP, Software Systems, Evertz, called on the industry to engage with AI and innovate. “That is the opportunity here, and there will be fear and excitement. But what we want to do is talk to our customers and lift the whole industry to maximise our potential.”
“Live media is the last place we have a shared experience globally. So it’s a call to action – we need the feedback, we need the ideas.
(L-R): Tim Warren, SVP, Innovation and Chief Cybersecurity Offi cer, Harmonic; Kevin Riley, CTO and SVP of Technology & Innovation, Avid; Vince Silvestri, VP, Software Systems, Evertz; Erik Ramberg, VP, Business Development and Strategic Partners, MediaKind; Mandy Rutledge, Worldwide Director, Media Partnerships, Microsoft
And now that the technological blockers are gone, we have the tools to do it,” Silvestri added, speaking in a session on the Innovation Stage in Hall 3, moderated by Mandy Rutledge Worldwide Director, Media Partnerships, Microsoft. The session ‘Powering Media Innovation: Microsoft and its partner landscape’, focused on the importance of maximising
the creative potential of new technology using Microsoft’s AI and cloud technology. Riley said: “At Avid as we have
progressed our AI story, the trust with Microsoft has been a huge advantage for us because people trust any new development when it is backed by Microsoft.” Silvestri echoed: “It’s the trust aspect with Microsoft. It’s a company which has a rich spirit of
innovation and people who make a huge difference.” Tim Warren, SVP, Innovation and Chief Cybersecurity Offi cer, Harmonic, added: “We are early on in this process so what’s important is the velocity of innovation. Developing quickly and getting more done in less time maximises ROI. In reality experimentation is key because we don’t know the answer yet.”
DATA MANAGEMENT HOLDS THE KEY TO UNLOCKING GENAI BY COLBY RAMSEY
The push towards generative AI (GenAI) has put a spotlight on better data management and governance, with the next 20 to 40 years expected to be dominated by conversations around the technology. These were the musings of an
AWS panel on the Showcase Theatre, which saw professionals from across the media and entertainment industry discuss the implications of GenAI. “Data is the oil that really pushes AI forward,” said Raghvender Arni, Director, Customer Acceleration Team at AWS. “The big question is once
you’ve created the data, who owns the copyright for it?” Arni added that he’s already seeing customers using separate bespoke models for solving discrete tasks: “AI can take away the mundane part of the process, but we’re still using humans to do the creative part,” he said.
John Footen, Managing
Director of Media & Entertainment at Deloitte, offered that personalising content for each viewer in some way is going to be of dramatic importance in the future. “It is possible to imagine that one of the roles of GenAI is effectively to create an avatar
(L-R): Gretchen Libby, Director, Visual Computing, GTM, AWS; Raghvender Arni, Director, Customer Acceleration Team, AWS; John Footen, Managing Director of Media & Entertainment, Deloitte; Garrett Goodman, VP of Sales, Papercup
of yourself, so you can then ask that GenAI to show content to match your mood, social situation and so on,” he said, adding that the source data on which your model is trained is an
important factor in terms of the output. “I think there’s a future trend that will see small dataset- based models prevail because they will be more predictable in terms of their behaviour.”
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88
