AIOps (POSTPONED)
Details
THIS EVENT HAS BEEN POSTPONED
AIOps
More organizations are adopting artificial intelligence (AI). Fourteen percent of global CIOs have already deployed AI and 48% will deploy it in 2019 or by 2020, according to Gartner’s 2019 CIO Agenda survey.*
As AI adoption increases we wanted to create event focussing on what this means for Ops, how do AI companies or AI reliant companies build and deploy their systems, what challenges do they face and what technologies do they use?
Our Speakers
Rob Bell from Mind Foundry
Title:
AIOps > AI + Ops
Description:
Putting AI into production is often seen as having more challenges than deploying and maintaining traditional software, hence why a whole separate name AIOps has appeared. Often, for people new to machine learning, it's not immediately obvious what the fuss is about.
In this talk, I want to give an introduction to why AIOps is difficult, and talk about why the challenges arise. Focussing more on using Ops to deploy AI (rather than using AI in Ops), I'll illustrate the problems with some practical scenarios that we've faced at Mind Foundry. I hope to show why AIOps isn't just a case of treating the AI as a black-box and using DevOps on it, and that successful AIOps needs the AI problem embedded throughout. i.e. AIOps > AI + Ops.
Bio:
Rob is a software engineer and tech lead at Mind Foundry, a spin-out of the Oxford University Machine Learning Research Group. For the last three years, we've been building a platform to let businesses to use AI to solve real problems, by empowering people to collaborate with AI. He's currently working on machine learning model deployment, and making it "actually work".
Aaron Burgess and James Hunter from IBM
Title:
The DevOps journey to becoming a cognitive enterprise
Description:
New technologies like artificial intelligence, cloud, blockchain and IoT are paving the way for a new business model: the cognitive enterprise. Realizing this objective requires the modernisation, development and operation of applications for AI-enabled workflows, exponential technologies and next-generation applications, lots of data, and secure, hybrid or multi-cloud infrastructure. In this talk I'll share how cognitive services can help optimize DevOps activities ie through test optimization, and how DevOps applies to the implementation and operation of cognitive services such as managing the deployment of data for machine learning.
Bios:
Aaron Burgess:
Aaron Burgess is an IBM Business Leader for the DevOps division across Europe, his focus is bringing together clients needs with IBM experts to accelerate the value of technology in every industry.
When he's not running around after IBM, he's running around Oxford trying to stay fit and compete for his local club Oxford City Athletics.
James Hunter:
James is an international author, speaker and DevOps leader within IBM. He has a background in software architecture and leading the development and delivery of large-scale, distributed systems across the finance, public and defence sectors. James now helps clients to implement DevOps practices so they can deliver reliable software as fast as possible. James is a Fellow of the British Computer Society and joined IBM through the acquisition of Rational where he was a Principle Technical Consultant. Today he leads IBM’s research and strategy for DevOps.