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Business Intelligence and Analytics

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  • The Cognitive Bank: Leveraging Advanced Analytics and Artificial Intelligence
    The Cognitive Bank: Leveraging Advanced Analytics and Artificial Intelligence Vivek Bajaj, Global VP of Solutions for IBM Financial Services Recorded: Sep 21 2017 63 mins
    Today the payments industry faces a rebirth by necessity. Financial institutions process massive volumes of customer and payments transaction data, much of it unstructured and untapped.

    Cognitive Systems have the ability to understand, reason and learn. In Financial Services applying cognitive capabilities to real world payments issues like safer and faster payments is yielding significant results. Furthermore Risk and Compliance and segment of one engagement are areas where ROI is tremendous when leveraging advanced analytics and artificial intelligence in cohesion.

    Learn from real world use cases of how financial institutions globally have gained significant competitive advantage by becoming a truly Cognitive Bank.
  • HDFS on Kubernetes: Lessons Learned
    HDFS on Kubernetes: Lessons Learned Kimoon Kim, Pepperdata Software Engineer Recorded: Sep 19 2017 46 mins
    HDFS on Kubernetes: Lessons Learned is a webinar presentation intended for software engineers, developers, and technical leads who develop Spark applications and are interested in running Spark on Kubernetes. Pepperdata has been exploring Kubernetes as potential Big Data platform with several other companies as part of a joint open source project.

    In this webinar, Kimoon Kim will show you how to: 

    –Run Spark application natively on Kubernetes
    –Enable Spark on Kubernetes read and write data securely on HDFS protected by Kerberos
  • Using Machine Learning in Software License Discovery for Greater SAM Maturity
    Using Machine Learning in Software License Discovery for Greater SAM Maturity Bill Dyck, Nick Rendall Recorded: Sep 13 2017 56 mins
    Accurate software asset management (SAM) is critical to a company’s IT operations in order to optimize usage and cost, and ensure that license compliance is achieved to avoid true-ups and penalties. Keeping a company’s software application library up-to-date for SAM has been a continuous struggle for asset managers given the time it takes for manual entry of new titles, the changing information in software titles, and the sheer number of titles across an enterprise organization. Every software title not recognized in their library causes potential license compliance breaches (leading to true-ups and potential fines) and reduces an organization’s ability to optimize their software license usage for cost optimization.

    Micro Focus (HPE Software) has added the industry leading IDOL unstructured search engine to add machine learning to Universal Discovery, drastically improving in the process of software license recognition and teaching for quicker software license recognition and a consistently up-to-date SAI over time. Join us on September 13th for an introduction to this exciting new capability and to understand the business value it can bring to your SAM program.

    • Introduction to machine learning and the IDOL engine
    • Machine learning in Universal Discovery
    • Current SAM with Machine Learning Success StoriesLive
    • Q&A about this new technology
  • Visualizing Big Data
    Visualizing Big Data Eva Murray, Exasol & Andy Kriebel, The Data School Recorded: Sep 7 2017 64 mins
    Learn about analyzing and visualizing big data in Tableau. Hear tips & tricks, see examples and ask your burning questions during this live webinar.

    We will give you a live demo on how to connect Tableau to Exasol's dataviz environment where you can explore large public datasets.

    We'll show you how to tackle these data sets when starting your analysis and take you through some example visualizations to inspire your own work.

    We'll be working with data in Exasol for an upcoming Makeover Monday challenge later in September, so use this opportunity to ask us any questions you have ahead of time so you can make the most out of playing with big data.
  • Follow up Q&A: A Guide to Machine Learning Patterns and Data Visualizations
    Follow up Q&A: A Guide to Machine Learning Patterns and Data Visualizations Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Sep 6 2017 19 mins
    Catch this follow up Q&A from the A Guide to Machine Learning Patterns and Data Visualizations presentation. Umesh answers remaining and follow up questions from the audience.
  • Makeover Monday, & Viz for Social Good collaborate with the UN
    Makeover Monday, & Viz for Social Good collaborate with the UN Eva Murray - Exasol, Chloe Tseng - Twitter, Gayan Peiris - United Nations Recorded: Aug 31 2017 52 mins
    Makeover Monday & Viz for Social Good collaborate with the UN to support the Sustainable Development Goals Action Campaign ahead of the UN General Assembly in New York City.

    Join this webinar for a chance to find out more about the social data collaboration project, to hear from the different people involved and to ask your questions ahead of the data challenge, which starts on September 4 and runs through to September 15 2017.
  • Security According to Leafcutter Ants
    Security According to Leafcutter Ants Mike Chung, Drs. Ing. RE CISSP, Associate Partner at IBM Security Recorded: Aug 25 2017 49 mins
    Humans have been protecting our complex network infrastructures for decades with varying degrees of success, while eusocial insects such as ants are capable of withstanding countless attacks on their networks.

    This presentation is about what ants in general and Leafcutter Ants in particular approach security and how we can learn from these survivors of millions years of warfare.

    You will learn:
    -How social insects (ants) are dealing with predictive analysis
    -Applying the defense mechanism of ants on threat intelligence
    -How information sharing and communication can lead to better security
    -Data and Identity Management
  • A Guide to Machine Learning Patterns and Data Visualizations
    A Guide to Machine Learning Patterns and Data Visualizations Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Aug 24 2017 55 mins
    Data visualization must be intuitive in order for non-IT business leaders to see data patterns. Representing data in a graphical or pictorial format is easy, but constructing the data in the best and most logical way can be tricky.

    In this session, Umesh will talk about how to represent data simply to make quicker and better business decisions. He will walk through several data visualization techniques through business cases and examples. By the end of the session, you will not only know different data visualization techniques, but also have an understanding of circumstances under which each technique should be used and the best way to represent particular data sets for different business cases.
  • Data scientists: Can't live with them, can't live without them.
    Data scientists: Can't live with them, can't live without them. Wyatt Benno, CEO, DataHero Recorded: Aug 24 2017 45 mins
    There has been a flood of publicity around big data, data processing, and the role of predictive analytics in businesses of the future.
    As business operators how do we get access to these valuable business insights, even when there is not a data analyst around to walk us through their results?

    - Should your software emulate a data scientist?
    - Learn about the power of data visualizations.
    - Learn about creating value from disperse data sets.
  • Data Visualization for Predictive Analytics
    Data Visualization for Predictive Analytics Andy Kriebel, Eva Murray, Benedetta Tagliaferri Recorded: Aug 24 2017 58 mins
    What does the future hold?

    Predictive Analytics - everyone is talking about it and many organisations claim to be doing it. But are they? And what insights do they gain to then make tactical or strategic changes? How can analysts work with decision makers by sharing results in a visually effective and meaningful way while also informing them about possible courses of action?

    This webinar is presented by Andy Kriebel, Head Coach at the Data School and Eva Murray, Tableau Evangelist at Exasol. Our guest speaker on Predictive Analytics is Benedetta Tagliaferri, Consulting Analyst at The Information Lab.

    The webinar will look at some examples of predictive analysis and will show data visualization examples that are actionable and can drive further questions and discussions in an organisation.

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