7 Must-Haves for Streaming Analytics

Live Webinar 21st October 2020

Mike Gualtieri, VP, Principal Analyst, Forrester

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Don't miss the Kx Streaming Analytics Launch

Live Webinar 21st October 2020

Mike Gualtieri, VP, Principal Analyst, Forrester

REGISTER BELOW

Join us live as Mike Gualtieri, VP, Principal Analyst, Forrester explores the seven must-haves every organization needs to think about when considering a streaming analytics platform.

Mike Gualtieri – VP, Principal Analyst, Forrester

This is a rare opportunity to hear from Mike as he breaks down the key requirements all organizations need to consider when working with real-time and historical data to provide actionable insights and drive critical decisions.

Data is now at the heart of every organization aiming to stay ahead of the competition by making smarter, faster decisions. The explosion in data volumes presents a critical challenge and opportunity. Streaming analytics enables businesses to turn data into actionable insights that drive real-time decision-making.  However, all streaming analytics platforms are not the same.

You’ll also hear about how Kx Streaming Analytics 4.5 enables organizations to efficiently and effectively ingest, process, store and analyze real-time and historical data, radically accelerating business decisions while reducing the costs associated with data management at scale.

Our panel of expert industry speakers will round off the webinar with a discussion, including real use case examples, of how organizations are using streaming analytics to transform their businesses.

Capable of running on cloud, on premise or at the edge, Kx Streaming Analytics can analyse real-time and historical data at scale with support for any existing data structure.

Save the Date October 21st, 2020
10:00 AM EST/15:00 BST:

    Agenda
    Live Webinar

    10:00 – 10:30 am EST (15:00 – 15:30 BST) : 7 Must-Haves for A Streaming Analytics Platform

    10:30 – 10:35 am EST (15:30 – 15:35 BST) : Kx Intro with Streaming Analytics 4.5 Release

    10:35 – 11:00 am EST (15:35 – 16: 00 BST) : Industry/Analyst Panel with Q&A

     


    Speaker Bios

    Mike Gualtieri – VP, Principal Analyst, Forrester

    Mike is author of the Forrester Wave for Streaming Analytics. His key technology and platform coverage areas include streaming analytics, IoT strategy, predictive analytics, big data, machine learning, data science, AI, and emerging technologies that make software faster and smarter. Mike advises enterprise decision makers and executive leaders around the world. He has more than 25 years of experience in the industry helping design and develop mission-critical applications in eCommerce, financial services and industry and technology for organizations including NASA, eBay, Bank of America, Liberty Mutual, Nielsen, EMC and many others.

     


    Mattijs van den Hoed – VP, Consulting Services, CGI Netherlands

    Mattijs is considered a thought leader with deep insights and perspectives on the trends in European central markets and the change drivers and opportunities for various market players in the energy ecosystem. Mattijs has been with CGI for over 20 years; the last 10 of which he has spent leading central market implementations across Europe, including the Netherlands, Denmark, UK and Finland.

     


    Przemek Tomczak – Senior VP of Internet of Things and Utilities, Kx

    Przemek has over 20 years business and technology experience in software, consulting, IT management and infrastructure and leads the Internet of Things and Utilities business at Kx. Previously, Przemek held senior roles at the Independent Electricity System Operator in Ontario, Canada and top-tier consulting firms and systems integrators. At IESO he was responsible for the operations of the world’s first and largest smart meter management and processing service.

     


    Kx Streaming Analytics  is a game changer for organizations looking to extract the maximum amount of value from their data in an IoT environment.

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    On Oct 21st from 11:00 EST discover the Seven Must Haves for a Streaming Analytics Platform.

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