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DataStax UK

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  • Why an Operational Data Layer is Critical for Open Banking
    Why an Operational Data Layer is Critical for Open Banking
    Richard Henderson Recorded: Jun 28 2018 52 mins
    Innovative banking applications and comprehensive, instant insight into customer interactions are critical to competing in today’s disruptive competitive landscape. Not only do customer expectations continue to grow, but payment infrastructure evolution and compliance requirements mean access to highly contextual, real-time data is no longer a nice to have - it’s a must have.

    Don’t miss this chance to hear from Richard Henderson at DataStax around how an operational data layer can meet the distributed, real-time, always available demands of the enterprise. Join live to hear real case examples of customers using DataStax Enterprise, the data management platform trusted by 9 out of the top 15 global banks.
  • Becoming a Customer-Centric Enterprise Via Real-Time Data and Design Thinking
    Becoming a Customer-Centric Enterprise Via Real-Time Data and Design Thinking
    Mike Rowland, Director & National Practice Leader, CX Strategy, West Monroe Partners & Shubhra Sinha, DataStax Recorded: Feb 13 2018 62 mins
    Customer expectations are changing fast, while customer-related data is pouring in at an unprecedented rate and volume. How can you contextualize and analyze all this customer data in real time to meet increasingly demanding customer expectations? Join Mike Rowland, Director and National Practice Leader for CX Strategy at West Monroe Partners, and Shubhra Sinha, VP Portfolio of Marketing at DataStax, for an in-depth conversation about how customer experience frameworks, driven by Design Thinking, can help enterprises: understand their customers and their needs, define their strategy for real-time CX, create value from contextual and instant insight
  • Innovation Around Data and AI for Fraud Detection
    Innovation Around Data and AI for Fraud Detection
    Ken Chenis, Chief Architect at ACI Worldwide, and Shubhra Sinha, VP Portfolio of Marketing at DataStax Recorded: Jan 30 2018 62 mins
    Financial service institutions have unique challenges when it comes to fraud and are facing ever-more-dangerous threats. ACI Worldwide, a payment systems company that serves 18 of the world’s 20 largest banks and 300 of the world’s largest retailers, has an extremely close view of these fraud-related challenges and threats, a view that has allowed it to become an innovator in fraud detection. Join Ken Chenis, Chief Architect at ACI Worldwide, and Shubhra Sinha, VP Portfolio of Marketing at DataStax, for a discussion on how ACI Worldwide is allowing banks to combat fraud affordably and effectively via a patent-pending method that makes data readily available to AI/machine learning on historic information yet also available in real time for live transaction processing.
  • Building a Multi-Cloud Strategy with Data Autonomy
    Building a Multi-Cloud Strategy with Data Autonomy
    James Curtis, Senior Analyst, 451 Research and Andrew Lampitt, Sr. Director, Product Marketing, DataStax Recorded: Jan 18 2018 50 mins
    Data autonomy goes hand-in-hand with building a powerful, multi-cloud data management strategy. Enterprises today are rethinking their data management tactics in light of what they can achieve with the correct usage of the public clouds. In this on-demand webcast, guest speaker James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research, discussed how enterprises are getting valuable data autonomy and building game-changing multi-cloud database management strategies.
  • How to get real-time value from your IoT data
    How to get real-time value from your IoT data
    Tim Vincent, Solutions Engineer Manager, EMEA Recorded: Jun 27 2017 43 mins
    Storage is only half of the problem – how do you get real time value from your IoT data? Join DataStax’s Solutions Engineer Manager, Tim Vincent, as he explores how to:

    - Model data for IoT
    - Build an always-on IoT architecture
    - Gather insights from your IoT data via real-time analytics
  • Fighting Fraud with Graph Databases
    Fighting Fraud with Graph Databases
    Kaush Kotak, Project Manager Cambridge Intelligence; Gehirg Kunz, Project Manager, Datastax Recorded: May 10 2017 55 mins
    The need to combat fraud can make or break a company. Threats are at an all-time high, but thankfully so are the availability of tools to help us combat them. Modern fraud detection has significant engineering challenges. From managing the ingestion and scale, to the analysis of those patterns in real-time.

    ✓ How companies are fighting fraud using systems with graph technologies at their core.

    ✓ Tools, workflows, and techniques that drive critical tasks like fraud detection and regulatory compliance.

    ✓ A live demo of Cambridge Intelligence’s KeyLines technology, showing a visual approach to transforming data from DSE Graph into valuable intelligence that helps to detect, predict and prevent fraud.

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