Author name: Zin Lwin

31 May, “IP Essentials for Early Career Researchers”, Panel on IP exploitation route, London

IP Essentials for Early Career Researchers REASON are hosting a workshop on IP Essentials for Early Career Researchers, led by Dan Warren (Samsung). Agenda 9.30 Registration and coffee 10.00 Intro from Dan Warren 10.05 â€˜IP basics’ – Ean Davies, Appleyard Lees 11.00 Coffee 11.30 â€˜IP realities’ – Phil Hodges, Ericsson 12.30 Lunch 13.30 Panel on IP exploitation routes – panel members tbd. […]

31 May, “IP Essentials for Early Career Researchers”, Panel on IP exploitation route, London Read More »

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

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

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

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

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

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