Name: How explainable, predictive decision making can help us trust our AI models
Start: 2022-05-10T14:34:00Z
End: 2022-05-10T15:19:53.000Z
Location: BrightTALK
Rating: 0

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.

In this session, we will demonstrate how to connect to, process, and manage streaming data.  Using the Financial Information eXchange (FIX) protocol, one of the most widely used communication protocols in crypto trading, we will build a streaming application with Quarkus, Infinispan, and QuickFix/J. We will also cover the metrics associated with processing streaming messages.

✱ While Red Hat guarantees technical profit from attending this talk; cryptographic gains may vary

Consuming crypto streaming data for fun and profit

Backends for Frontends, or BFF, is a common microservices pattern in which each UI (web, mobile) has a custom backend API. In this presentation we will introduce a better approach!
GraphQL, a query language for APIs, simplifies your API’s backend and delivers significant advantages to front end development teams. Quarkus, Red Hat’s Supersonic, Subatomic Java Runtime, is an excellent GraphQL server.  

In this talk we will demonstrate how and why you should leverage GraphQL for your microservice backends and demo a GraphQL backend with Quarkus.

RESTful microservices with GraphQL

Local development for Kubernetes based applications creates significant testing challenges. The creation and setup of components like databases and messaging brokers are especially difficult. The Testcontainers project provides lightweight test services (like databases and messaging brokers), but requires significant configuration. 

Quarkus Dev Services extends Testcontainers to automatically start your application’s dependencies to deliver prod-like integration testing. In this talk we will demonstrate how Quarkus Dev Services enables seamless live coding and integration testing with zero configuration, delivering developer joy!

Integration testing with Quarkus

Serverless brings a host of advantages to systems including automatic scaling, high availability, increased agility and stability freeing up teams to focus on and accelerate innovation. 

In this session, aimed at intermediate to advanced developers, we will explore event driven design, decomposing subsystems, and breaking apart front-end monoliths.  We will also talk about designing for failure, optimizing throughput, and BFF’s (Backends for Frontend).

Serverless patterns and practices with knative

Almost all companies developing microservices struggle with how and what to test. Having developed hundreds of microservices across multiple projects one thing is clear: everyone has a different opinion of what needs to be tested and how.
 
In this presentation we will discuss techniques that have worked for Red Hat's customers, some that did not work,  and how to adopt a “shift-left” culture. We will also cover the background and theory of good testing practices, beginning with the test pyramid, and moving to CI/CD with techniques like contract testing, performance testing, and code coverage, and introduce tools like Mockito and Cucumber.

How much testing does my microservice really need?

Join us at the next Red Hat Coffee Hour as we talk with Gene Kim, Author of the Wall Street Journal Best-Seller, The Unicorn Project. Gene has spent over 20 years studying high-performing technology organizations. In The Unicorn Project, he attempts to frame what he’s learned studying technology leaders adopting DevOps principles and patterns in large, complex organizations, often having to fight deeply entrenched orthodoxies. And yet, despite huge obstacles, they create incredibly effective and innovative teams that create beacons of greatness that inspire us all. In his previous books, he’s focused on principles and practices (e.g., Three Ways, Four Types of Work). However, he’s always wanted to describe the spectrum of cultural, experiential and value decisions we make that either enable greatness, or create chronic suffering and underperformance. They are currently as follows: The First Ideal — Locality and Simplicity; The Second Ideal — Focus, Flow and Joy; The Third Ideal — Improvement of Daily Work; The Fourth Ideal — Psychological Safety; and The Fifth Ideal —  Customer Focus. 

In this talk, Gene will share his goals and aspirations for The Unicorn Project, describe in detail the Five Ideals, along with his favorite case studies of both ideal and non-ideal, and why he believes more than ever that DevOps will be one of the most potent economic forces for decades to come.

Featuring:
Adam Clater, Chief Architect, Red Hat
Gene Kim, Entrepreneur, Researcher, and Author Focused on IT Operations and Information Security

Red Hat Coffee Hour with Gene Kim

Many great innovators rely on design thinking as a way to creatively approach problems and create enriched customer experiences. In this session we will demonstrate how to apply key human-centered techniques to the development of web-based applications.

Specifically, we will demonstrate how quickly a new web-based application can be designed and validated with stakeholders by leveraging tooling around contract-first API Development. We will also show how quickly a user experience can be created, iteratively, without having to be bottlenecked by waiting for API changes, waiting for SDK development, and other traditional barriers to fast feedback loops.

Accelerating cloud-native application development with design thinking

In this webinar, we’ll cover how to modernize existing applications to deliver real-time digital experiences to your customers.

Application modernization - Goodbye batch data processing, hello Kafka

In this webinar, you’ll hear about the latest research in eXplainable AI (XAI), an approach that combines AI/ML and traditional business rules to better understand the factors that contribute to an automated decision. We’ll introduce you to the latest standards for representing decision logic, and we’ll demonstrate an XAI solution built from open source components that will show how we can finally answer questions about why an automated decision was made.

How explainable, predictive decision making can help us trust our AI models

In this webinar, we’ll review event-drive architecture technologies and practices, and show how carefully designed systems are solving some of the most complex challenges the world faces.

Cloud-native, event-driven design for high-value use cases

AI/ML, Cloud, Containers, DevOps, Events, Integration

Featuring:
Brian Gracely, Senrior Director OpenShift Product Strategy
Stu Miniman, Director, Market Insights, Red Hat

Choose your cloud-native path—an executive checklist

What is a container?, What is Kubernetes?, What is OpenShift?, Red Hat training

Kubernetes 101 an introduction to containers, Kubernetes, and OpenShift

Cloud-native development in the industry, 3 key elements of success, how to leverage internal and external data (AI/ML), Why Red hat?

3 key elements of cloud-native initiatives in banking

Accelerate MLOps and deliver intelligent applications with Kubernetes, CICD, and GitOps

Accelerate MLOps and deliver intelligent applications with Kubernetes

One of our generation's greatest biographers, Walter Isaacson, has authored seminal works covering the history of technology from Leonardo Da Vinci to Steve Jobs and most recently Jennifer Doudna - the inventor of CRISPER. 

With a penchant for finding the intersection between the arts and sciences, Walter Isaacson brings a wealth of knowledge and understanding of the humanity behind technology to his books. Adam Clater, Chief Architect at Red Hat and Walter will talk about the secrets to being creative and innovative, fostering teamwork and making space for new kinds of thinking in organizations.

Red Hat Coffee Hour with Intel and Walter Isaacson

Webinar and Video Strategy

Business Analytics

Automation

Automation Workload

Standardization

Decision Making

Open Source

Architecture

Market Research

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

Cloud Computing

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Application Development

Enterprise applications have become a crucial piece of infrastructure for many businesses. The enterprise applications community on BrightTALK features the latest insights in enterprise application integration, enterprise application architecture and EAS software. Join the community to gain access to thousands of videos and webinars presented by recognized enterprise information systems experts and arm yourself with the knowledge you need to succeed.

Enterprise Applications

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

Join thousands of engaged IT professionals in the application management community on BrightTALK. Interact with your peers in relevant webinars and videos on the latest trends and best practices for application lifecycle management, application performance management and application development.

Application Management

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How explainable, predictive decision making can help us trust our AI models

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