October 15, 2020

AI/ML OPs

 

 

 

Speaker Wall

Wes Cooper, Product Marketing Manager

Micro Focus | Taking DevOps to the Next Level with AIOps

Antonio Linari, Chief Technology Officer, NA

Expert.ai | Cloud Native on The Edge

Todd Underwood, SRE Director

How ML Breaks

Harald Burose, Director, Product Management

Micro Focus | DevOps Powered by AIOps

Adam Frank, VP, Product & Design

Moogsoft | Achieving Ops-Led Development Through AI-Driven Observability

Peter Maddison, Managing Partner

Deciphering AI and ML Ops

Christoph Engelbert, Senior Developer Advocate

Instana | Road to Observability: Centric or Agnostic – That is the Question

Andi Mann, Chief Technology Advocate

Leveraging Big Data to Operate Complex IT Systems at Scale

Justin Griffin, Founder & CEO

Building an effective incident response process

Marco Coulter, Technical Evangelist

Appdynamics | AIOps Stepping Stones

Peter Waterhouse, Solution Specialist - Application Development

Taming Data Science Dragons with MLOps and Kubernetes

Garima Bajpai, Building DevOps Community of Practice in Canada

AI as a product

Q

Wes Cooper, Product Marketing Manager

Bio: Wes is Product Marketing Manager for the Operations Bridge at Micro Focus. He has 6 years of experience with Micro Focus and HPE in product marketing, global enablement, sales, and business development all within the IT Operations Management market.  He is a published author, 4-time marathon runner, and cycling enthusiast.  Wes is based out of Dallas, TX.

Talk Title: Taking DevOps to the Next Level with AIOps

Abstract: Interested in learning the value AIOps can provide for your DevOps teams?  Join this session as AIOps expert Wes Cooper from Micro Focus shares an overview of how AIOps benefits DevOps teams and the key considerations required for successful AIOps implementation.  You will learn about what Top Performing Organizations are doing, get insight into how to set a benchmark for your organizations’ success, and leverage pragmatic steps that will accelerate your journey to value.

 

Q

Andi Mann, Chief Technology Advocate

Bio: Andi Mann, Chief Technology Advocate at Splunk, is an accomplished digital executive with global expertise as a strategist, technologist, innovator, marketer, and communicator. With over 30 years’ experience, Andi is a sought-after advisor, commentator, and speaker. Andi has co-authored two books, and tweets as @AndiMann.

Talk Title: AIOps – Leveraging Big Data to Operate Complex IT Systems at Scale

Abstract: AIOps – or AI for IT Operations – is a game-changing new approach to managing complex IT systems by leveraging ‘big data’ practices like data analytics, machine learning, and artificial intelligence in IT Operations. For anyone in AppDev, DevOps, SRE, SysAdmin, ITOps, or DevOps, this session will help you achieve better IT outcomes through AIOps by learning:

  • What is AIOps (and what is it not)?
  • What does AIOps actually do – and how?
  • Building and maturing AIOps practices
  • Making AIOps practices actionable
  • AIOps examples and real-world stories

 

Do not miss this chance to get SKIL’d Up on AIOps!

Q

Todd Underwood, SRE Director

Bio: Todd Underwood is a lead Machine Learning for Site Reliability Engineering Director at Google and is a Site Lead for Google’s Pittsburgh office. ML SRE teams build and scale internal and external ML services and are critical to almost every product area at Google. Todd was in charge of operations, security, and peering for Renesys’s Internet intelligence services that are now part of Oracle’s cloud service. Before that Todd was Chief Technology Officer of Oso Grande in New Mexico. Todd has a BA in philosophy from Columbia University and an MS in computer science from the University of New Mexico. He is interested in how to make computers and people work much, much better together.

Talk Title: How ML Breaks

Abstract: Reliable management of continuous or periodic machine learning pipelines at a large scale presents significant operational challenges. Using experience from almost 15 years of operating some of the largest ML pipelines, we examine the characteristics of one of the largest and oldest continuous pipeline at Google. We look at actual outages experienced and try to understand what caused them.

We examine failures in detail, categorizing them into ML vs Non-ML and Distributed vs. Non-Distributed. We demonstrate that a majority of the outages are not ML-centric and are more related to the distributed character of the pipeline.

Q

Harald Burose, Director, Product Management

Bio: Harald has 20+ years in the enterprise software industry, and currently leads product management for the Operations Bridge. He has filed 6 patents and has been granted 3 unique technology patents. Harald has presented at 100+ Industry events and is based out of Germany.

Talk Title: DevOps Powered by AIOps

Abstract: A true AIOps solution should consist of a single platform with common data collection, storage, and leverage machine learning and big data analytics to recognize patterns in enormous amounts of data, differentiate priority events from symptoms, and leverage automation to fix issues before users are impacted.  AIOps helps DevOps teams to improve costs, operational workload, and reduce risks.

Q

Peter Waterhouse, Solution Specialist - Application Development

Bio: With 25+ years around all things business tech, Pete helps public and private sector organizations build the practices needed to accelerate digital transformation strategies. Passionate about building high-performance teams, Pete is a DevOps advocate; writing and presenting regularly about what it takes to build truly generative organizations.

Talk Title: Taming Data Science Dragons with MLOps and Kubernetes

Abstract: AI/ML is rapidly making its way into mainstream business. That’s the hype, but in reality, many projects never make it into production or deliver tangible business value. This session explores the many challenges associated with building a sustainable data science practice and how MLOps can help address them. Discussing use-cases and case studies, this session also outlines the elements needed to deliver production-ready systems, automate complex ML model workflows, and a collaborative platform data engineers, scientists, and developers use to build, optimize and share AI/ML best practices

Q

Christoph Engelbert, Senior Developer Advocate

Bio: Christoph Engelbert is an open-source enthusiast and always interested in “Java Next”. In his spare time, he struggles with performance optimizations, the JVM internals, or the garbage collector, whereby he is also available to answer questions on these topics as a freelance consultant. He also firmly believes in Polyglot and is familiar with Java, Kotlin, Go, TypeScript, and other languages.

Talk Title: Road to Observability: Centric or Agnostic – That is the Question

Abstract: As distributed systems grow bigger they have become more complex and harder to manage. The amount of data coming out of these microservices-based applications is more than any human, or even a group of humans can process on their own. Because of this, AIOps is essential for proper management of all the Observability data points. With a look into the AIOps space, there are many different options to choose from. And, those choices are not just limited to products and companies. A bigger challenge is to understand the different routes to implement data gathering. Domain-Centric or Domain-Agnostic are the two main approaches. In this presentation, I’ll walk down the road of issues, how they can be solved, and take a quick tour into the differences of Domain-Centric and Domain-Agnostic approaches, as well as their pros or cons.

Q

Garima Bajpai, Building DevOps Community of Practice in Canada

Bio: Garima is a

  • DevOps Ambassador with DevOps Institute
  • Co-Founder DevOps Meetup community of practice -Canada
  • Co-Organizer DevOps Summit -Canada
  • WCT-FCT Mentor -Women in Leadership -ICT ( Canada Chapter)
  • Nominee Women in IT of the year – Young Leader ( WIT Award)

Talk Title: AI as a product

Abstract: AI as a product, basically highlights the tools and techniques which can be used to assess the value of AI-based products –

  1. AI value radar
  2. AI value design metrics
  3. Investment strategy – FRED
  4. Release Strategies
  5. DevOps practices to support AI
  6. Data stories, to support decision making
Q

Marco Coulter, Technical Evangelist

Bio: As a Technical Evangelist for AppDynamics, Marco Coulter is passionate about the experience that humans have when interacting with technology. A former startup CTO, Marco led the data science organization at 451 Research (now S&P Global Market Intelligence); managed global product and development organizations at CA Technologies; and spent years in operations and development leadership at several major Australian banks and hospitals. He earned the nickname ‘the tech-whisperer’ for his skills in translating business drivers for a technical audience and technical concepts for business leaders. When taking the rare break from technology, Marco can be found harvesting fresh vegetables from his garden.

Talk Title: AIOps Stepping Stones

Abstract: DevOps took us from SysAdmins to DeployAdmins to improve availability but came with a tidal wave of tools and environments, leaving detecting anomalies and finding root cause a task for the overcrowded war-room of siloed experts. Developers need to understand infrastructure, and operations need to understand the SDLC. The good news is AIOps can help! Let’s look at what AIOps can realistically do for us, identify criteria for where to automate, and lay out the stepping stones for achieving AIOps nirvana (the state of mind, not the band).

 

Q

Peter Maddison, Managing Partner

Bio: Peter Maddison has been in the business of building high-performance teams and automating everything worth automating for the past couple of decades. Presently, Peter spends his time helping organizations accelerate their delivery practices as an expert coach and consultant and is equally comfortable talking about business strategy as he is talking about IT. As a part of Xodiac, Peter is on a mission to help make every team thrive.

Talk Title: Deciphering AI and ML Ops

Abstract: Two related terms, two very different meanings. With AI Ops we seek to apply learning networks to our complex technology systems and with ML Ops we seek to apply DevOps principles and practices to the data lifecycle. Join me as I walk through the pros and cons of each practice and shed some light on how, when, and where each applies.

Q

Antonio Linari, Chief Technology Officer, NA

Bio: Antonio is Chief Technology Officer at Expert System Enterprise Corp., where he oversees both customers and the company’s teams facing and solving challenging technical problems. With more than 20 years of experience in technology and almost 15 years of presence in the Natural Language Processing arena, he is working hard to make NLP and AI affordable to everybody.

Talk Title: Cloud Native on The Edge

Speaker abstract: A Semantic Search engine, full-stack application, deployed on a mix of Raspberry Pi and Nvidia Jetson/Javier running Docker Swarm and OpenFaaS (Function as a Service)

Q

Justin Griffin, Founder & CEO

Bio: Justin Griffin is the Founder and CEO of RigD, Inc. Previously he was the Product Director for Cloud at Tintri.  Before that, he was the Product Line Manager for VMware’s cloud management operations, automation, partner integrations, and drove the move towards SaaS consumption of these capabilities.   Prior to that Justin worked at Telefonica Digital on the global cloud storage and backup strategy and EMC’s infrastructure management software products for converged infrastructure in the formative stages.   Justin has an MBA from Northeastern University and a Bachelors from Regina University.

Talk Title: Building an effective incident response process

Abstract: We all can remember service incidents that went well and others that didn’t. It doesn’t take much to lose customer trust and company momentum these days. Responding quickly and effectively to incidents is critical. You need a process that is designed for speed and simplicity. In a remote world of collaboration, learn about some of the steps and best practices you can take to have your team make a huge difference.

Q

Adam Frank, VP, Product & Design

Bio: Adam Frank has been with Moogsoft for three years and currently leads the product team. Formerly a Moogsoft customer, he has brought insights from a user perspective to the Moogsoft AIOps Platform. His work has focused on making better user experience, simple messaging, ease of use, and self-service each a focus of Moogsoft’s latest platform advancements. He has also led the company’s push to a cloud-native and SaaS-first model.

Talk Title: Achieving Ops-Led Development Through AI-Driven Observability

Abstract: A key challenge when working with software is that it’s invisible. It does not inherently lend itself to the universal DevOps goal of “Telemetry Everywhere.” While engineers consciously code their product to emit metrics and logs that allow them to observe the invisible, traditional monitoring falls short of leveraging this data, leaving Ops to pick up the slack. This talk will explore the relationship between observability and SDLC practices that put Ops in the drivers’ seat.

Attendees will learn:

  • How introducing visibility and control over incidents earlier in the development cycle can reduce toil
  • How to leverage Service Level Objectives (SLOs), error budgets, and the ‘wisdom of production’ to improve the Ops part of DevOps.
  • How leveraging AI-driven observability can turn every incident into a learning opportunity.

Discover how AI-driven observability helps improve practices from Site Reliability Engineering to Continuous Integration and Deployment, and supports the transition from project to product-centric ways of working.

Q

Sponsors

Machine Learning and Artificial Intelligence are rapidly being embedded into more and more enterprise applications, giving way to practice areas in MLOps and AIOps.

This SKILup Day will explore the rise, use cases, benefits, and trends of intelligent applications now and in the future.

As always with SKILup Days, there will also be an exhibit hall, networking lounge, resource library, wellness videos, and a scavenger hunt.

Speaker announcements and agenda coming soon.

Register