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Ask the Experts: Live Q&A on open process

Join us for a Q&A with select speakers from the day’s sessions.

Presented by:
Prakriti Koller, NA PMO Agile Lead, Red Hat
Tom Heisey, Engagement Lead, Red Hat Open Innovation Labs
Kevin Behr, Senior Director, Global Transformation Office, Red Hat
Recorded Jun 24 2020 24 mins
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Presented by
Prakriti Koller, Red Hat; Tom Heisey, Red Hat; Kevin Behr, Red Hat
Presentation preview: Ask the Experts: Live Q&A on open process

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  • Extend your investment in Microservices to Leverage AI & ML (v2) Aug 11 2020 3:00 pm UTC 47 mins
    Joe Dickman, Founder and Senior VP, Vizuri
    How can we use our existing investments in microservices and decision management technologies to automate some of the mundane tasks that we currently have no choice but to do manually?

    In this session, you'll augment your existing knowledge and decisions with artificial intelligence. Learn more about capturing knowledge and business rules and converting it to automated processes.
  • Provide the best value for the customer with offer management Aug 10 2020 1:00 am UTC 13 mins
    Sadhana Nandakumar, Specialist Solutions Architect at Red Hat
    Session 4 of 4-part series:

    During this demo, you’ll see how businesses can use open source technology to react to streaming events and data, integrating AI/ML models and decisioning to improve customer retention with compelling, relevant offers.

    About the series:
    By using open source technologies and event-driven architectures, you’ll be able to innovate faster, offer greater competitive differentiation, and gain improved digital customer engagement. Join Red Hat for a 4-part, self-paced workshop on how to modernize customer engagement.
  • Integrate streaming data for better business decisioning Aug 6 2020 3:00 pm UTC 15 mins
    Jeff Alonzo, Senior Cloud Platform Specialist at Red Hat
    Session 3 of 4-part series:

    Now more than ever having real-time access to data - whether it be social, environmental, health related or financial - is essential to react with relevant content and offers. Streaming data requires a high-performance and scalable data event processing architecture and adds a layer of complexity regarding fault tolerance, data durability, and scalability. Learn how to integrate streaming data streams with AMQ Streams and in memory caching for realtime, relevant offers.

    About the series:
    By using open source technologies and event-driven architectures, you’ll be able to innovate faster, offer greater competitive differentiation, and gain improved digital customer engagement. Join Red Hat for a 4-part, self-paced workshop on how to modernize customer engagement.
  • Integrate AI/ML models & decisioning for hyper-personalized customer experiences Aug 4 2020 3:00 pm UTC 14 mins
    Duncan Doyle, Technical Marketing Manager for the Decision Manager and Process Automation Manager platforms at Red Hat
    Session 2 of 4-part series:

    Most existing customer engagement systems are based on proprietary predictive analytics offerings. Learn how to integrate self-learning AI with decisioning logic. AI/ML models can be developed by a business’s data scientists, third party vendor models, or developed using Red Hat and Open Data Hub. You will also learn how to continuously innovate by optimizing and adding hyper-personalized artificial intelligence and decisioning for better engagement.

    About the series:
    By using open source technologies and event-driven architectures, you’ll be able to innovate faster, offer greater competitive differentiation, and gain improved digital customer engagement. Join Red Hat for a 4-part, self-paced workshop on how to modernize customer engagement.
  • React to events in real time with Next-Best-Action Jul 30 2020 3:00 pm UTC 23 mins
    Jeff Alonzo, Senior Cloud Platform Specialist, Red Hat
    Session 1 of 4-part series:

    Most existing customer engagement solutions do not react in real time to events. Watch this session and learn how to incorporate EDA with decisioning to react to events with relevant offers.

    About the series:
    By using open source technologies and event-driven architectures, you’ll be able to innovate faster, offer greater competitive differentiation, and gain improved digital customer engagement. Join Red Hat for a 4-part, self-paced workshop on how to modernize customer engagement.
  • Kubernetes-native knowledge automation Jul 28 2020 3:00 pm UTC 38 mins
    Duncan Doyle, Technical Marketing Manager, Red Hat | Jeff Beck, Principal Product Marketing Manager, Red Hat
    Business applications are all about knowledge automation, and rules engines are an important part of this automation. Kogito is the open source Quarkus extension that allows developers to build intelligent applications in a more cloud-native, business-driven way. Kogito precompiles business assets and generates the native executable, allowing developers to worry only about the implementation of the logic.

    In this session, we’ll provide:
    • An introduction to Quarkus and Kogito.
    • A demonstration.
    • A Q&A.
  • Event-driven, serverless integration with Camel-K on Quarkus Jul 23 2020 5:00 pm UTC 59 mins
    Christina Lin, Technical Marketing Manager, Red Hat
    Building an elastic, flexible architecture for your cloud-native microservice can be challenging. Having to deal with high-volume streams of data and interconnect between evermore microservices has made the modern developer’s job even more difficult.

    The fast boot time and low memory utilization from Quarkus can change the landscape of how integration works across the enterprise. In this session, we’ll show how Quarkus can help create function-like integration applications in the event-driven world. We’ll provide:
    • An introduction to Quarkus, Apache Camel K, and Knative Eventing.
    • A demonstration.
    • A Q&A.
  • Quarkus brings serverless to Java developers Jul 21 2020 5:00 pm UTC 35 mins
    Jeff Beck, Principal Product Marketing Manager, Red Hat | Daniel Oh, DevOps Evangelist, Red Hat
    Enterprise Java™ developers continue to struggle with moving the whole application stack to cloud-native microservices and/or serverless. Quarkus allows developers to create cloud-native microservices without a steep learning curve and build a native executable artifact that needs just milliseconds to start.

    In this session, we’ll explore how Quarkus along with Istio, Knative, and Kubernetes changes a day in the life of developers by providing easier and quicker ways to develop cloud-native microservices and serverless apps. We’ll provide:
    • An introduction to Quarkus and Knative.
    • A demonstration.
    • A Q&A.
  • Kubernetes Design Patterns (v2) Jul 21 2020 3:00 pm UTC 52 mins
    Robert Sedor, Senior Cloud Solutions Architect, Red Hat
    Kubernetes provides a number of distributed primitives which developers, architects, tech leads and DevOps engineers can leverage. This presentation offers an introduction to a set of patterns to solve cloud native challenges using Kubernetes and OpenShift.

    We will demonstrate several of these solutions and leave you with a set of patterns you can use to solve your designs with.

    Key takeaways will be:
    - What are Kubernetes design patterns
    - How are Kubernetes design patterns categorized
    - Examples of Kubernetes design patterns from each category of patterns
    - How OpenShift with Istio can make realizing Kubernetes patterns even easier
  • Getting started with event-driven architecture using Apache Kafka Jul 16 2020 2:00 pm UTC 29 mins
    David Codelli, Red Hat
    Moving to distributed microservices needs APIs and EDA. Helping enterprises improve app speed and scale.
  • Fighting Financial Crimes with AI ML Recorded: Jul 8 2020 31 mins
    Marius Bogoevici and Anurag Saran, Red Hat
    With the burgeoning number of digital financial products and services, financial crime - especially money laundering and fraud - starts posing new challenges to financial institutions. Traditional models based on manual verification and human-designed rules become easier and easier to circumvent as criminals become more sophisticated.

    Many Banks are looking to artificial intelligence and machine learning as tools to fight financial crime. Harnessing AI ML, banks can streamline data harvesting for deeper insight-driven business decisions and rules to address financial crime.

    In this session, the speakers will detail the architecture used to augment batch and real-time transaction processing with analytics and machine learning models derived from data. They will look at how it can be further integrated into business processes such as investigations and suspicious activity reporting in an efficient, scalable, and elastic manner, using a combination of open source technologies and hybrid cloud platforms.

    Presented by:
    Marius Bogoevici, Chief Solutions Architect, Financial Services, Red Hat
    Anurag Saran, Manager, Financial Services Solutions Architecture, Red Hat
  • Personalizing the Banking Experience with AI ML Recorded: Jun 30 2020 29 mins
    Sadhana Nandakumar, Senior Financial Services Solutions Architect and Marius Bogoevici, Chief Solutions Architect, Red Hat
    More now than ever, customers are making use of digital channels for communication, payments, and any number of transactions. It is very important to make sure that the virtual experience doesn't end up removing the human factor that they deserve.

    Maintaining a consistent 360-degree view of the customer is key to a bank maintaining a competitive edge and better serving their customers in this new dynamic. With greater adoption of personalization techniques, businesses will increasingly be able to select the optimal time for deploying the right message in a particular channel for a specific individual. Using predictive analytics and integrated self-learning AI models will let businesses more quickly identify trends, derive insights, and make recommendations to improve growth, customer satisfaction, and retention across channels.

    In this webinar, you will experience what it takes to build such an architecture with a demo of a Real-Time Offer Management System.

    Presented by:
    Sadhana Nandakumar, Senior Financial Services Solutions Architect, Red Hat
    Marius Bogoevici, Chief Solutions Architect, Financial Services, Red Hat
  • Open Demo: Diamanti D20 RH HyperConverged Infrastructure for OpenShift Containe Recorded: Jun 29 2020 53 mins
    Hosted by Vijay Arungurikai (Red Hat) with Hiral Patel (Diamanti)
    Different Applications and Services can have varying Workloads, Integration, and Persistence Requirements creating Complex Infrastructure. Diamanti's D20 RH for Red Hat OpenShift® enables enterprises building and deploying containerized applications on Red Hat OpenShift Container Platform to maximize the performance, scalability, and operational efficiency of Red Hat's best-in-class developer tools and industry-leading Platform-as-a-Service (PaaS) offering.
  • Hyper-Personalization Using AI and Advanced Analytics for Customer Relationship Recorded: Jun 29 2020 58 mins
    David Linthicum, GigaOm analyst | Duncan Doyle, Technical Marketing Manager | Sadhana Nandakumar, Red Hat
    Want to own your market? Want sales growth and customer satisfaction ratings to be off the charts?

    In this discussion, open-source industry experts will share their secrets for leveraging technology, including AI and advanced analytics, to create personalized experiences. By having the ability to dynamically adjust during customer encounters, as well as not require customers to give up personal information, means that all involved will be delighted with the experience created by emerging technology.

    So, how is this done? We’ll share the secrets to leveraging the right technology for the right reasons to move you from a moderate understanding of your customers and markets, to having expert knowledge that allows you to target markets, and sell to each individual’s specific needs.

    This webcast was originally hosted on GigaOm.com on June 24, 2020.
  • Open Demo: Building AI/ML solutions with OpenShift and CognitiveScale Certifai Recorded: Jun 29 2020 54 mins
    Vijay Arungurikai, Red Hat | Sinead Williamson, Cognitive Scale | Luke Twardowski, Cognitive Scale
    In the modern AI world, it's no longer good enough for algorithms to achieve state-of-the-art predictive performance. Now more than ever, users must trust that models are not disproportionately disadvantaging groups, data scientists need tools to help measure AI trust, and end users need to understand why a model made the prediction/s it did. To address these problems, scientists at CognitiveScale have developed Cortex Certifai, a collection of tools that measure the fairness, robustness, and transparency of black box algorithms. CognitiveScale has joined forces with Red Hat to provide Cortex Certifai's self-service toolbox on the Red Hat OpenShift® Kubernetes Platform. These tools monitor, track and compare algorithms to provide trusted AI solutions. In this talk, we will introduce you to the measures of fairness, explainability, and robustness that Certifai uses to assess black-box algorithms. We will show how you can use Certifai to increase trust in your machine learning models, by evaluating fairness, explainability, robustness and accuracy. We will demonstrate how Cortex Certifai can fit into your model development and deployment pipelines, allowing you to easily assess the trustworthiness of your organizations algorithms. Certifai will allow you to accelerate delivering AI/ML workflows by identifying and resolving model problems before pushing to production.
  • Ask the Experts: Live Q&A on cultural transformation Recorded: Jun 24 2020 21 mins
    Ginny Hamilton, Red Hat; Mike Walker, Red Hat; John Willis, Red Hat; Kris Pennella, Red Hat
    Join us for a Q&A with select speakers from the day’s sessions.

    Presented by:
    Ginny Hamilton, CIO Community Manager, Red Hat
    Mike Walker, Senior Director and Global Lead, Red Hat Open Innovation Labs
    John Willis, Senior Director, Global Transformation Office, Red Hat
  • Ask the Experts: Live Q&A on open process Recorded: Jun 24 2020 24 mins
    Prakriti Koller, Red Hat; Tom Heisey, Red Hat; Kevin Behr, Red Hat
    Join us for a Q&A with select speakers from the day’s sessions.

    Presented by:
    Prakriti Koller, NA PMO Agile Lead, Red Hat
    Tom Heisey, Engagement Lead, Red Hat Open Innovation Labs
    Kevin Behr, Senior Director, Global Transformation Office, Red Hat
  • Ask the Experts: Live Q&A on open technology Recorded: Jun 24 2020 30 mins
    Valentin Yonchev, Red Hat; Anna Ciula, Red Hat; Jabe Bloom, Red Hat; Jason Lamb, Intel
    Join us for a Q&A with select speakers from the day’s sessions.

    Presented by:
    Valentin Yonchev, Head of Red Hat Open Innovation Labs EMEA
    Anna Ciula, Engagement Lead, Red Hat Open Innovation Labs
    Jabe Bloom, Global Transformation Office, Red Hat
    Jason Lamb, Cloud / Software-Defined Infrastructure Technology Solutions Strategist, Intel
  • Best of Red Hat Summit: Applying open culture practices across distributed teams Recorded: Jun 24 2020 20 mins
    Chris Jenkins, EMEA Chief Technologist Infrastructure Platform and Security, Red Hat
    Distributed teams occur when people you work with aren’t physically located with you. They can be in another office building, working from home, or working for an outsourced company abroad, to name a few possibilities. Distributed teams are becoming increasingly popular for DevOps and other teams due to recruitment, diversity, flexibility, and cost savings. Challenges arise due to time zones, language barriers, cultures, and work habits and styles. People actively participating in open source communities tend to be effective in distributed teams.

    In this session, we'll look at how to apply core open source principles to distributed teams within enterprise organizations. We'll discuss the importance of:
    - Shared purposes/goals.
    - (Mis)communication.
    - Leading vs. managing teams.
    - Sharing and learning.

    We encourage you to submit questions during this presentation. Tune in to the Ask the Experts: Live Q&A on cultural transformation panel for answers from our subject matter experts.
  • Lessons from the Phoenix Project you can use today Recorded: Jun 24 2020 30 mins
    Kevin Behr, Senior Director, Global Transformation Office and Yasir Syeed, N.A. Public Sector Transformation Office | Red Hat
    We did not invent brakes merely to stop cars. Change management is a process that is designed to increase change velocity and reduce risk. In this session, Kevin Behr, co-author of the best selling book, “The Phoenix Project,” will show that this key process area and associated rationale are a major determinant of organizational throughput and operational excellence. More people are frustrated with managing changes to their infrastructure and applications and often see the activity as annoying, or even worse, impeding progress.

    All of our collective work results in change, so let’s get the most out of it by understanding that we designed brakes to allow us to go faster. Stop driving with your foot on the brake, and rather use those brakes to achieve a higher velocity of successful changes. You’ll walk away with key metrics that will illuminate the process, and the opportunity to self reflect on how you are measuring change and progress.

    We encourage you to submit questions during this presentation. Tune in to the Ask the Experts: Ask the Experts: Live Q&A on open process panel for answers from our subject matter experts.
Take your apps—and business—into the future with Red Hat
Join this channel to learn best practices and insights on how to: containerize existing apps for increased cost efficiency, deliver new cloud-native and process-driven apps using microservice architectures, take an agile approach to integrate APIs and data, and do it all in a culture of collaboration using DevOps best practices.

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  • Title: Ask the Experts: Live Q&A on open process
  • Live at: Jun 24 2020 7:00 pm
  • Presented by: Prakriti Koller, Red Hat; Tom Heisey, Red Hat; Kevin Behr, Red Hat
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