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Healthcare at the Speed of Events

The exponential adoption of the event streaming platform has been remarkable over the last decade as industry and government alike seek to move towards real-time event driven capabilities. Healthcare has been no different with the approach transforming many aspects of how data is handled to improve the treatment and experience of patients. In this talk we will cover what event streaming is, and how Apache Kafka and Confluent are being applied and adopted in healthcare.

We will discuss real world examples of how event streaming is helping shape healthcare; including managing benefits, sharing electronic health records, and combating pandemics.
Recorded May 12 2021 44 mins
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Presented by
Will LaForest, Public Sector CTO, Confluent
Presentation preview: Healthcare at the Speed of Events

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  • Applied Apache Kafka for Government: Geospatial Jun 24 2021 4:00 pm UTC 54 mins
    Will LaForest, Public Sector CTO, Confluent
    While the GEOINT domain has adopted Kafka to deliver and process data, performing actual geospatial operations has required integrating external tools. This session will demonstrate the power of geospatial UDFs in making real time decisions natively in Kafka and show how KSQL makes it easy to handle events in Kafka that have not had a geospatial capability.
  • Cloud-Native Kafka: Simplicity, Scale, Speed & Savings with Confluent Recorded: Jun 15 2021 33 mins
    Priya Shivakumar, Head of Product, Confluent
    How much does it cost your organization to run Apache Kafka®? When you calculate that number, do you account for the impact of downtime? What about the cost of teams managing all that data infrastructure?

    Just as high-growth organizations have realized that data storage and warehousing are more economical and effective in the cloud, the same shift applies to Kafka. To shift the focus back to what matters most—business innovation—organizations must let go of self-managed Kafka.

    In this webinar, you’ll learn about the benefits of leveraging a cloud-native service for Kafka, and how you can lower your total cost of ownership (TCO) by 60% with Confluent Cloud while streamlining your DevOps efforts. Priya Shivakumar, Head of Product, Confluent Cloud, will share two short demos to illustrate how you can:

    - Get started quickly, spinning up Kafka with a few clicks in the cloud
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    Join us to learn how your organization can run at top speed and save money by transitioning your self-managed Kafka deployment to a fully managed, cloud-native Kafka service.
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    New ways of working and sharing information have emerged within the Federal Government. This has pushed agencies to reevaluate their technology needs and develop plans to further their IT modernization strategy. For the DOD, specifically, the Joint All-Domain Command and Control (JADC2) is an initiative to revitalize the military’s current command and control (C2) infrastructure by establishing a combined, synergistic network of sensors and warfighters that enables collective, real-time decision-making across the DOD.

    Listen in as topic experts share:
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    - Major obstacles and challenges to its implementation
    - What benefits the initiative will bring to the Department of Defense

    Thought leaders will be imagining the “art of the possible” in expanding on data sharing applications and benefits internal to the DOD, as well as the future of the JADC2 and what it means for the DOD.
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    - Role Based Access Control (RBAC)
    - Encryption
    - Alerts and Monitoring
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  • Multi-Cloud: Kafka Everywhere Recorded: Jun 3 2021 50 mins
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    Register today to learn how you can streamline your Kafka ops and stay focused on the most strategic projects for you and your business.
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    - Track the threat of COVID-19 virus
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    - Streamlining and shortening pre-authorizations using event streaming techniques
    - Joining and enriching data with event stream processing and real-time analytics
    - Improving patient experience by providing a singular view of their healthcare picture, across multiple specialists
    - How one customer improved their ability to interact and engage with healthcare providers in real-time
  • Healthcare at the Speed of Events Recorded: May 12 2021 44 mins
    Will LaForest, Public Sector CTO, Confluent
    The exponential adoption of the event streaming platform has been remarkable over the last decade as industry and government alike seek to move towards real-time event driven capabilities. Healthcare has been no different with the approach transforming many aspects of how data is handled to improve the treatment and experience of patients. In this talk we will cover what event streaming is, and how Apache Kafka and Confluent are being applied and adopted in healthcare.

    We will discuss real world examples of how event streaming is helping shape healthcare; including managing benefits, sharing electronic health records, and combating pandemics.
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    As a fully managed service available in the biggest cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Confluent Cloud can be self-serve and is deployable within seconds.

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    Confluent Cloud abstracts away the details of operating the platform—no more choosing instance types, storage options, network optimizations, and number of nodes. It is as elastic as your workload, and you pay only for the resources that you use. In true serverless fashion, you just need to understand your data requirements.
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    Mainframes are still hard at work processing over 70 percent of the world’s most essential computing transactions every day. However, high cost, monolithic architectures and missing experts are key challenges for mainframe applications.

    Come join us and learn how mainframe offloading with Apache Kafka and its ecosystem can be used to keep a more modern data store in real-time sync with the mainframe, enabling microservices and delivering the data to other systems such as data warehouses and search indexes.
  • Bridge to Cloud: Confluent Platform to Confluent Cloud (Episode 2: Cloud Series) Recorded: Apr 27 2021 77 mins
    Justin Lee, Solutions Engineer, Confluent
    Episode 2 of the Confluent Cloud Series

    As companies adopt the cloud, they may discover that migrating to the cloud is not a simple, one-time project - it's a much harder task than building a greenfield cloud-native application. They need to build a seamless bridge between on-prem and cloud deployments.

    Confluent Cloud is fully managed Apache Kafka® with complete, enterprise event streaming components. It accelerates developers building event streaming applications, liberates them from operations burden, and enables mobility between multi-cloud and on-prem deployments.

    By attending this talk, you will learn:

    --What is Bridge to Cloud?
    --How to get started Confluent's fully managed Kafka service and connect data systems, process. real-time data streams with KSQL, monitor performance, and data governance.
    --Intro on how to design, configure, manage, and monitor event streaming applications
    --Intro to how to set up and run Confluent Cloud, complete with Bridge-to-Cloud examples.
  • Evolving from Messaging to Event Streaming (Ep 1: Legacy Modernization Series) Recorded: Apr 21 2021 57 mins
    Perry Krol, Manager Solutions Engineering, Confluent | Michael Hussey, Senior Systems Engineer, Confluent
    Episode 1 of the Legacy Modernization Forum Series

    In the face of heightened demands for greater scalability, improved resiliency and continuous stream processing, traditional messaging and legacy architectures are being disrupted by real-time event streaming and its ability to meet these new demands.

    Join us for an interactive discussion to explore Apache Kafka, the foundation of Confluent Cloud and Confluent Platform, and compare it to traditional messaging queues.
  • The Race to Real-Time: Real-Time Payments and Event Streaming Recorded: Apr 15 2021 68 mins
    Nidhi Agarwal, Volante Technologies | Brian Pyle, Confluent | Chris Matta, Confluent
    The banking and financial services industries are under pressure to adapt to supporting real-time payments along with new and updated standards like ISO 20022, RTP and FedNow. There are common challenges for banks looking to modernize their legacy payment systems in order to handle real-time payments. These challenges require firms to re-evaluate the tools in their toolbox and build a more modern, flexible and scalable payment system without a big-bang rip and replace.

    Intelligence, the logic of encoding, decoding and transforming payment types and formats, and orchestrating interactions with bank systems, so that massive payment volumes can be processed with sub-second SLAs. The systems should be flexible to model processes that may be unique to every organization and to facilitate the building of value-added payment services.

    The delivery system needs to be able to reliably move data from multiple channels and multiple technologies (files, RDBMS, message queues etc) into and out of the Brains of the Operation to process real-time payments and integrate systems across the bank. The platform needs to be secure, scalable and 100% reliable by design - The Central Nervous System – Confluent, Kafka.

    What You Will Learn By Attending?
    --How financial institutions are choosing the right technology in developing their next-generation payment architectures in support of real-time corporate payment processing, on and off the cloud
    --What is critical in deploying the payment solution, where do you start when building your next generation environment and addressing emerging issues within the banking industry?
    --What is Apache Kafka® and why this is quickly becoming the most pervasive technology in core banking transformation.

    Agility is vital, so join us to learn how to clear settlements in seconds vs. days and set your company up for success with the real-time payment journey
  • The Ongoing Disruption of Retail - A Shift to Real-Time Data Streaming Recorded: Apr 14 2021 62 mins
    Kai Waehner, Field CTO, Confluent
    As part of our Confluent Industry Series, we are excited to invite you to join the Retail Forum. In this era of omni-channel retail, consumers are creating more data than ever before. For a retailer, real-time streaming data across the business can help drive insights into customer behaviors and improve business outcomes.

    The future of retail is data, and that future requires the ability to process and use data events in real time. The essence of this effort is event streaming, the continuous, centralized processing of data so it can be used to trigger all kinds of events in real time.

    In this session industry luminary and author Kai Waehner will share real-world use cases and architectures from Walmart and other enterprises to improve the Supply Chain Management (SCM) optimization along with industry insights, use cases and share best practices. Confluent delivers an event streaming platform that helps retailers connect all their data in real time.
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    Will LaForest, CTO Confluent Public Sector
    Agencies are grappling with a growing challenge of distributing data across a geographically diverse set of locations around the US and globally. In order to ensure mission success, data needs to flow to all of these locations rapidly. Additionally, latency, bandwidth and reliability of communication can prove to be a challenge for agencies. A global data fabric is an emerging approach to help connect mission to data across multiple locations and deliver uniformity and consistency at scale.

    This webinar will cover:

    An overview of Apache Kafka and and how an event streaming platform can support your agencies mission

    Considerations around handling varying quality communication links
    Synchronous vs asynchronous data replication
    New multi-region capabilities in Confluent Platform for Global Data Fabric
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  • Bringing Industry Machine Learning to Government with Apache Kafka Recorded: Mar 30 2021 49 mins
    Will LaForest, Public Sector CTO, Confluent
    Apache Kafka® & Machine Learning
    Connecting the Dots from Inception to Production

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    See how to connect the dots!

    - How are Kafka and Machine Learning related?
    - How can they be combined to productionize analytic models in mission-critical and scalable real time applications?
    - We will discuss a step-by-step approach to build a scalable and reliable real time infrastructure for anomaly detection in cyber data
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  • Live at: May 12 2021 4:00 pm
  • Presented by: Will LaForest, Public Sector CTO, Confluent
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