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  • Get in control of your customer data! Data quality in Microsoft Dynamics 365
    Get in control of your customer data! Data quality in Microsoft Dynamics 365
    Marco de Jong, Product Management Director, Syncsort Recorded: Mar 8 2019 35 mins
    Poor data quality is a primary reason why nearly half of all CRM business initiatives fail to achieve their target. Every interaction with your customers – from sales and marketing to customer service and retention – depends on easy access to both trusted and complete customer data. But how do you get in control and maintain data quality? Join us to learn how you can trust and rely on your data with an integrated data quality solution in Microsoft Dynamics 365.
  • What Does Artificial Intelligence Have to Do with IT Operations?
    What Does Artificial Intelligence Have to Do with IT Operations?
    Ed Hallock, Director Product Management,Syncsort Recorded: Feb 22 2019 27 mins
    From the early days of IT, organizations have grappled with the challenges of understanding how well their infrastructure is performing in support of the business. They have used a plethora of tools to detect, manage, and resolve problems that are causing disruption of services, but still struggle to achieve a unified, cross-domain understanding of what is happening across their IT infrastructure.

    Fortunately, over the past few years analytics platforms like Splunk, Elastic, and others have emerged to address requirements around IT Operations Analytics (ITOA). Today the buzz is around AIOps – Artificial Intelligence Operations. But what is AIOps, and what can it do to help organizations address IT challenges?

    View this webinar on demand to get a better understanding of:
    •What is Artificial Intelligence for IT Operations
    •What are the required technologies for success at AIOps
    •What challenges exist for achieving AIOPs
  • Wie Datenqualität Machine-Learning und KI unterstützen kann
    Wie Datenqualität Machine-Learning und KI unterstützen kann
    Marco Kopp, Senior Consultant Sales Engineer Recorded: Feb 19 2019 43 mins
    Die Implementierung kritischer maschineller lernbasierter Business Applikationen, von Know Your Customer (KYC) über Anti-Geldwäsche (AML) bis hin zur Betrugserkennung, ist schwierig, wenn Daten falsch, unvollständig, schlecht formatiert oder aus vielen verschiedenen Quellen stammen.

    Modelle des Machine Learning benötigen große Mengen an zuverlässigen, aktuellen und sauberen Daten, um ihre Arbeit zu leisten. Der Aufbau von Datenbereinigungs- und Entitätslösungsprozessen auf Big Data Plattformen wie Hadoop und Spark ist kein Kinderspiel. Wenn Modelle endlich in die Praxis umgesetzt werden, sind die Daten schnell veraltet. Wie also halten Sie die Daten in Ihrem Cluster zuverlässig mit den transaktionalen Quellsystemen in der Produktion synchron?

    Erfahren Sie in diesem Webinar, wie die wichtigsten Herausforderungen des Machine Learning, selbst in einigen der schwierigsten Anwendungsfälle, durch Echtzeit-Datenintegration und skalierbare Datenqualität bewältigt werden können
  • Enterprise Security in Mainframe-Connected Environments – 15-minute webinar
    Enterprise Security in Mainframe-Connected Environments – 15-minute webinar
    Rich Fronheiser, Product Marketing Manager, Syncsort Recorded: Feb 18 2019 15 mins
    Mainframe continues to power critical operations in enterprise IT – making it susceptible to external threats and attacks.

    With Syncsort Ironstream, Splunk users can easily monitor and effectively resolve application, security and network problems on the mainframe, by opening up real-time operational data in Splunk Enterprise.

    View this 15-minute webinar on-demand where we described the security and compliance challenges organizations face and how Ironstream® can work with Splunk to eliminate those security blindspots.
  • IT Service Intelligence for Improved Business Monitoring – 15-minute webinar
    IT Service Intelligence for Improved Business Monitoring – 15-minute webinar
    Ian Hartley, Principle Engineer, Syncsort Recorded: Feb 11 2019 18 mins
    View this 15-minute webinar to see how you can broaden the scope of ITSI in Splunk to include mainframe and IBM i log data - achieving end-to-end visibility into application health and performance…

    When an application goes down or IT services are delayed, your business can grind to a halt. It’s important to have a view of operational data from across all of your systems so you can identify and fix problems quickly.

    Splunk IT Service Intelligence (ITSI) is a monitoring and analytics solution that gives visibility across IT infrastructures and business services. By proactively watching streams of machine data it can detect when something starts to step out of line, and more importantly, give you time to correct problems before they have a negative impact.

    But in today’s enterprise IT environments, systems can span multiple technology stacks and platforms. So, what if you have a mainframe or IBM i server? Can you bring this onto the surveillance radar of ITSI? With Syncsort Ironstream® you can.
  • De-Mystifying Capacity Management in the Digital World
    De-Mystifying Capacity Management in the Digital World
    Jamie Baker, Senior Product Manager, Syncsort Recorded: Feb 7 2019 56 mins
    Capacity management is an integral function of organizations running multi-domain complex IT environments. However, the shift over the years from physical to virtual to Cloud and DevOps/Microservices has inevitably changed the perception of capacity management and whether it is still needed.

    View this webinar to learn why it’s necessary to invest in a capacity management solution to deliver business and service assurance, but also control costs and meet SLAs. In this webinar we cover:

    •How capacity management has evolved and why it’s as important for the Cloud
    •How capacity management can encompass but differ from real-time monitoring
    •What benefits can be realized from implementing and maturing a capacity management process
    •Why a mature capacity management process should co-exist with your load and performance testing activities
  • Enabling Machine Learning with Data Quality at Scale
    Enabling Machine Learning with Data Quality at Scale
    Paige Roberts, Senior Product Marketing Manager, Syncsort Recorded: Feb 5 2019 42 mins
    Implementing critical machine learning-based business applications, from Know Your Customer (KYC), through to Anti-money Laundering (AML) and Fraud Detection, is difficult when data originates from many different sources and geographies, is incorrect, incomplete or badly formatted.

    Machine Learning models need large volumes of reliable, current, clean data to do their jobs. Building data cleansing and entity resolution processes on Big Data platforms like Hadoop and Spark is no picnic – and when models get put into practice, the data quickly becomes out of date. So, how do you keep the data in your cluster reliably in sync with transactional source systems in production?

    Join us to find out how the key challenges of enabling Machine Learning, in even some of the toughest use cases, can be tackled with real-time data integration and data quality at scale.
  • Real-Time CDC and Data Quality at Scale washes out Money Laundering
    Real-Time CDC and Data Quality at Scale washes out Money Laundering
    Paige Roberts, Product Marketing Manager, Syncsort Recorded: Feb 4 2019 36 mins
    Fraud prevention and anti-money laundering are tough use cases to tackle. They become even more difficult when data originates from various sources, not complete or correct, or even if it’s not kept up-to-date.

    To make this work, machine learning models need the data in the right format, but data quality processes at Hadoop cluster scale are not easy – and the moment that models gets put into practice, the data will be out of date. So, you’ll need a way to keep the cluster in sync with transactional source systems in real-time – which shouldn’t be too hard, right?

    View this webinar on-demand where we discuss some key points including:
    •Simply getting datasets ready to analyze
    •The need to track data back to the source, and trust in the algorithm’s conclusions
    •Strict security requirements
    •Resolving fuzzy duplicates
    •The need for real-time change data capture from various sources to Hadoop, Cloud and Kafka
  • AI without Data Governance is unethical
    AI without Data Governance is unethical
    Paige Roberts, Product Marketing Manager, Syncsort Recorded: Jan 28 2019 62 mins
    In a time when machine learning determines whether an individual receives a loan or job offer, and artificial intelligence decides who gets served ads for certain houses, failing to properly govern data can result in unintended discrimination. Using people’s personal information in ways they would never permit otherwise, has deep ethical ramifications.

    View this webinar on-demand to learn more about how to govern your data in the age of new regulations like GDPR.
  • Big Data Matching: How to find two similar Needles in a really big Haystack
    Big Data Matching: How to find two similar Needles in a really big Haystack
    Paige Roberts, Product Marketing Manager + Steve Shissler, Director Product Engineering, Syncsort Recorded: Jan 21 2019 61 mins
    Already taken a look at our 15 minute webcast and finding and matching duplicates at scale? Here we take a more detailed look at the challenges of entity resolution at scale, review how Syncsort’s Trillium data quality software has tackled these challenges successfully in production clusters, and demo the software in real-time…

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