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Sichern Sie Ihre vertraulichen IBM i Daten

Lernen Sie, wie Sie Ihre sensitiven IBM i Daten at Rest and in Motion mit Datenverschlüsselung absichern können
Recorded Nov 23 2018 27 mins
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Presented by
Stephan Leiße, Solutions Architecht
Presentation preview: Sichern Sie Ihre vertraulichen IBM i Daten

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  • Data Quality: Foundation for High-Value, Trusted Analytics in Financial Services Recorded: Jul 18 2019 48 mins
    Aisan Baird, Senior Director, Sales Engineering - Syncsort
    Whether to address compliance and fraud, improve customer experience, or increase innovation, high quality data is a critical foundation for advanced analytics. Yet, incorporating data quality at the scale required to support these initiatives can be a significant barrier to achieving high-value, trusted results.

    This session looks at five common Data Quality challenges Financial Services organizations face in delivering trusted analytics and deriving business value from Big Data.
  • Could your IBM zIIP Engines be doing more for your Bottom Line? Recorded: Jul 9 2019 24 mins
    Bill Hammond & Alissa Margulies - Syncsort
    With today’s increasing pressure to reduce costs and increase efficiency, mainframe customers need to find innovative solutions that are cost-effective. Ideally, customers want to know how much impact a new solution will have on their personal bottom line. However, everyone’s computing environment is different, and one customer’s impact may be different than other customers. What if you could know, before you buy, what the impact of a solution would be on your environment?

    Syncsort’s Elevate ZPSaver reduces CPU costs by transferring as much sort processing as possible to zIIP processors. It's a sophisticated tool to help you to understand your sorting operations and calculate the potential ROI for your environment.

    View this webcast to:

    - Learn what information is included in the Elevate ZPSaver analysis including charts and tables with important data
    - Understand how to interpret the results and identify your savings potential
    - Review some real-world sample reports
  • Capacity Management in a Digital and Agile World Recorded: Jun 25 2019 59 mins
    Jamie Baker, Senior Product Manager, Syncsort
    Jamie Baker discusses common misconceptions and how important a mature capacity management process is – especially when it comes to DevOps and agile environments underpinned by elastic infrastructure, whether hybrid and/or public Cloud.

    During this webinar you will learn more about:

    - How the DevOps process provides the agility and speed of deployments for new IT services
    - How and why the cloud fits into this model
    - How to counter the perceptions that cloud capacity is infinite
    - How AI and machine learning perceive to offer control over capacity and performance on-demand
  • Mainframe Capacity Management: Time to come out of the Silo Recorded: Jun 25 2019 47 mins
    Charles Johnson, Senior Solution Consultant - Syncsort
    The mainframe has traditionally adhered to its own set of procedures, processes and reporting as it was a mature discipline within an organization. That maturity has led to a silo mentality in many cases not considering the new technologies outside it’s purview. These new technologies are Cloud, Hyper-Convergence computing and Big Data. Capacity Management for the mainframe, to be successful, needs to stretch out its arms and embrace those new platforms.

    View this webcast with CMG where we discuss:

    - The good aspects of mainframe Capacity Management
    - The bad aspects needing resolution
    - New architectures affecting the mainframe
    - The changing organization
    - How will Capacity Management evolve over the next few years?
    - How does mainframe Capacity Management fit into the new world?
  • De-Mystifying Capacity Management in the Digital World Recorded: Jun 25 2019 55 mins
    Jamie Baker, Senior Product Manager, Syncsort
    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
  • Effective Capacity Management for your IT Infrastructure Recorded: May 15 2019 43 mins
    Phil Bell, Sales Engineer
    Implementing or maturing a Capacity Management process takes executive buy-in, proper planning and the tools to make it possible – plus it helps when you get to enjoy a significant return on investment from the process! View this webcast to get an understanding of how Syncsort Athene™ can help you improve continuity and optimise performance of critical business services, and reduce costs.
  • How to Strengthen Enterprise Data Governance with Data Quality Recorded: May 9 2019 60 mins
    Harald Smith and Davinity Powis - Syncsort
    If your organization is in a highly-regulated industry – or relies on data for competitive advantage – data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.

    Learn how enterprise data quality drives stronger data governance, including:

    - The overlaps between data governance and data quality
    - The “data” dependencies of data governance – and how data quality addresses them
    - Key considerations for deploying data quality for data governance
  • Drive ROI from your Business Applications with Embedded Real-time Data Quality Recorded: May 2 2019 29 mins
    Harald Smith, Product Marketing Director, Syncsort
    Learn how you to ensure your business applications are always working with the most accurate, up-to-date data to drive your sales, marketing, partner, loyalty and customer service programs. We’ll cover how to:

    - Seamlessly integrate robust data quality, global address validation and geocoding into virtually any business application

    - Get a single view of your customers by embedding the most powerful, flexible data quality right in Microsoft Dynamics or SAP (now with support for S/4HANA)
  • Building an Enterprise Data Marketplace Recorded: May 2 2019 28 mins
    Jennifer Cheplick, Sr. Director, Product Marketing - Syncsort
    Data marketplaces, often provided as Data as a Service, have taken off over recent years. But most organizations already own the data most relevant to their business, and have started to create their own enterprise data marketplaces, where users can easily find and access data from across the company that is clean, trustworthy and auditable.

    View this webinar on-demand to learn how to build an enterprise data marketplace of your own with Syncsort's DMX-h! We'll cover:

    - Attributes of a successful enterprise data marketplace
    - Potential roadblocks, and how to overcome them
    - Examples of customers who have successfully built data marketplaces with DMX-h
  • Get in control of your customer data! Data quality in Microsoft Dynamics 365 Recorded: Mar 8 2019 35 mins
    Marco de Jong, Product Management Director, Syncsort
    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? Recorded: Feb 22 2019 27 mins
    Ed Hallock, Director Product Management,Syncsort
    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 Recorded: Feb 19 2019 43 mins
    Marco Kopp, Senior Consultant Sales Engineer
    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 Recorded: Feb 18 2019 15 mins
    Rich Fronheiser, Product Marketing Manager, Syncsort
    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 Recorded: Feb 11 2019 18 mins
    Ian Hartley, Principle Engineer, Syncsort
    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 Recorded: Feb 7 2019 56 mins
    Jamie Baker, Senior Product Manager, Syncsort
    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 Recorded: Feb 5 2019 42 mins
    Paige Roberts, Senior Product Marketing Manager, Syncsort
    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 Recorded: Feb 4 2019 36 mins
    Paige Roberts, Product Marketing Manager, Syncsort
    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 Recorded: Jan 28 2019 62 mins
    Paige Roberts, Product Marketing Manager, Syncsort
    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 Recorded: Jan 21 2019 61 mins
    Paige Roberts, Product Marketing Manager + Steve Shissler, Director Product Engineering, Syncsort
    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…
  • Finding and Matching Duplicates at Scale – 15-minute webcast Recorded: Jan 21 2019 14 mins
    Paige Roberts, Product Marketing Manager, Syncsort
    Don’t go down the recursive ML rabbit hole. View this 15-minute webcast to learn how you can tackle the challenges of successfully finding and matching data in large scale production implementations…

    When you pull in data from different sources across the enterprise, chances are that you have information about the same person, company, product, or other entity in multiple records. So you need to find all the records that relate and combine them. Sounds simple, but names are frequently misspelled or simply entered incorrectly, and you may have to compare each individual record to every other record in the dataset with some very sophisticated matching algorithms to determine who is who – and you may have to compare the data multiple times in multiple ways to resolve each entity.

    With large volumes of records in the data lake you may have to compare a million to a million (or 100 million to 100 million)! This kind of compute intensive comparison can bring even a powerful cluster to its knees, trying to code from scratch is nigh impossible, and some have resorted to starting a whole new ML project just to get entities resolved for other ML projects! Don’t go down the recursive ML rabbit hole. View this 15-minute webcast on-demand to find out how you can successfully tackle these challenges.
Optimize, Assure, Integrate and Advance your Data
At Syncsort, we organize data everywhere, to keep the world working. We use our experience so you can quickly extract value from your critical data anytime, anywhere. Our software is used by leading enterprises - on premise and in the cloud - to optimize their data infrastructure, assure the availability and security of critical data, and seamlessly integrate their systems and improve data quality.

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  • Live at: Nov 23 2018 10:00 am
  • Presented by: Stephan Leiße, Solutions Architecht
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