Author name: Zin Lwin

Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock

What is your #genai #risktolerance? #policy #regulation #shorts #podcast #opensourcedata We see a continued debate discussing if we need to redefine policy, regulation, openness now that we have GenAI. Risk isn’t necessarily bad, hear from Amanda Brock of OpenUK on understanding Risk Tolerance and watch to the full interview. Amanda Brock’s path began with picking potatoes at 8 years old. Now, she’s the CEO of OpenUK,

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Discussing the IBM acquisition of Hashicorp and its impact on Cloud and open source with Cliff Saran at Computer Weekly

Discussing the IBM acquisition of Hashicorp and its impact on Cloud and open source with Cliff Saran at Computer Weekly IBM sees a big opportunity to migrate customers away from VMware onto OpenShift, with its $6.4bn acquisition of HashiCorp part of the plan. Amanda Brock, CEO of OpenUK said the acquisition of HashiCorp “enables IBM to strengthen

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The DEVOPS Conference – Global, Talk, “Will Opening AI destroy Open Source Software?”, London

Amanda will draw on OpenUK’s recent research and report on AI (to be published early 2024) and the discussions at State of Open Con 24 in early February, to bring the most current thinking to the audience in a cohesive way as she considers the risk of Open in AI and the risk AI poses

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The Turing Way Practitioners Hub Showcase Event, Panel, “Demystifying the benefit of AI and Open Source for SMEs”, London

Join us at The Turing Way Practitioners Hub Showcase Event for a special showcase featuring case studies, expert panels, and attendee-led discussions on the co-adoption of open source and AI. Date: 6 March 2024 Time: 09:30 am – 5:00 pm GMT Location: Online/Hybrid Register here: The Turing Way Practitioners Hub Showcase Event | The Alan Turing

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Future of AI Summit 2023, Panel, “In Conversation: The AI Divide – Will data inequality destroy healthy competition?”, London

In conversation: The AI Divide – Will data inequality destroy healthy competition? (16 Nov 2023) Generating AI’s game-changing future products and services requires large quantities of data, which may create a market problem. How do smaller companies that can’t afford big data sets compete? Are there cheaper ways to develop large language models (LLMs)? Amanda

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