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Data Management

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  • Customer Support through Natural Language Processing and Machine Learning
    Customer Support through Natural Language Processing and Machine Learning Robin Marcenac, Sr. Managing Consultant, IBM, Ross Ackerman, Dir. Digital Support Strategy, NetApp, Alex McDonald, SNIA CSI Recorded: Feb 22 2018 60 mins
    Watson is a computer system capable of answering questions posed in natural language. Watson was named after IBM's first CEO, Thomas J. Watson. The computer system was specifically developed to answer questions on the quiz show Jeopardy! (where it beat its human competitors) and was then used in commercial applications, the first of which was helping with lung cancer treatment.

    NetApp is now using IBM Watson in Elio, a virtual support assistant that responds to queries in natural language. Elio is built using Watson’s cognitive computing capabilities. These enable Elio to analyze unstructured data by using natural language processing to understand grammar and context, understand complex questions, and evaluate all possible meanings to determine what is being asked. Elio then reasons and identifies the best answers to questions with help from experts who monitor the quality of answers and continue to train Elio on more subjects.

    Elio and Watson represent an innovative and novel use of large quantities of unstructured data to help solve problems, on average, four times faster than traditional methods. Join us at this webcast, where we’ll discuss:

    •The challenges of utilizing large quantities of valuable yet unstructured data
    •How Watson and Elio continuously learn as more data arrives, and navigates an ever growing volume of technical information
    •How Watson understands customer language and provides understandable responses

    Learn how these new and exciting technologies are changing the way we look at and interact with large volumes of traditionally hard-to-analyze data.
  • Ep. 8 Using Splunk to Analyze Performance Metrics: Q&T SIG Talk
    Ep. 8 Using Splunk to Analyze Performance Metrics: Q&T SIG Talk Chris Trimper Recorded: Feb 13 2018 18 mins
    Using Splunk to Analyze Performance Metrics

    Chris Trimper will show you how to leverage Splunk for storing and analyzing performance data from LoadRunner. This allows for easy trending and possible collaboration with other application metrics stored in Splunk. We will also look at building self-service dashboards showing application performance metrics.

    You will be hearing about:

    • Introduction to Splunk
    • Process of preparing LR data for Splunk consumption
    • Building dashboards and performing analytics in Splunk

    Join us for the next upcoming SIG Talk on Tuesday, March 13, 2018: http://www.vivit-worldwide.org/events/EventDetails.aspx?id=1073255&group=.
  • FC vs. iSCSI
    FC vs. iSCSI Fred Knight, NetApp, John Kim, SNIA ESF Chair, Mellanox, Alex McDonald, SNIA ESF Vice Chair, NetApp Recorded: Jan 31 2018 63 mins
    In the enterprise, block storage typically handles the most critical applications such as database, ERP, product development, and tier-1 virtualization. The dominant connectivity option for this has long been Fibre Channel SAN (FC-SAN), but recently many customers and block storage vendors have turned to iSCSI instead. FC-SAN is known for its reliability, lossless nature, 2x FC speed bumps, and carefully tested interoperability between vendors. iSCSI is known for running on ubiquitous Ethernet networks, 10x Ethernet speed bumps, and supporting commodity networking hardware from many vendors.

    Because, FCoE also delivers increasing performance as Ethernet speeds increase – and, Fibre Channel also delivers increasing performance as FC speeds increase. Historically, FC delivered speed bumps at a more rapid interval (2x bumps), while Ethernet delivered their speed bumps at a slower pace (10x bumps), but that has changed recently with Ethernet adding 2.5G, 5G, 25G, 40G, and 50G to the traditional 1G, 10G, 100G timeline.

    As the storage world moves to more flash and other non-volatile memory, more cloud, and more virtualization (or more containers), it’s time to revisit one of the great IT debates: Should you deploy Fibre Channel or iSCSI? Attend this SNIA Ethernet Storage Forum webcast to learn:
    •Will Fibre Channel or iSCSI deliver faster performance? Does it depend on the workload?
    •How is the wire speed race going between FC and iSCSI? Does anyone actually run iSCSI on 100GbE? When will 128Gb Fibre Channel arrive?
    •Can any server or storage array actually support more than 32Gb/s or 40Gb/s speeds?
    •Do Linux, Windows, or hypervisors have a preference?
    •Is one really easier [to install/manage] than the other, or are they just different?
    •How does the new NVMe over Fabrics protocol affect this debate?

    Join SNIA experts as they compare FC vs. iSCSI and argue in an energetic yet friendly way about their differences and merits of each.
  • Enterprise Analytics Journey, the IBM point of view for IBM Z customers
    Enterprise Analytics Journey, the IBM point of view for IBM Z customers Hélène Lyon, IBM, Distinguished Engineer, IBM Z Solutions Architect Recorded: Dec 14 2017 41 mins
    IT is a key player in the digital and cognitive transformation of business processes delivering solutions for improved business value with analytics. This session will step by step explain the journey to secure production while adopting new analytics technologies leveraging mainframe core business assets
  • Big Data Analytics vs Privacy: Risks and Opportunities
    Big Data Analytics vs Privacy: Risks and Opportunities Rob Anderson, Head of Field Operations (Privitar),Tim Hickman, Associate (White & Case) Recorded: Dec 14 2017 58 mins
    Today's modern businesses gain competitive edge and remain innovative by using advanced analytics and machine learning. Utilising big data can build customer loyalty by improving personalised marketing campaigns; optimises fraud detection; and improves products and services by advanced testing. However, the data sets required for advanced analytics are often sensitive, containing personal customer information, and therefore come with an inherent set of privacy risks and concerns.

    This roundtable will cover a few key questions on data utility and privacy:

    - In what ways advanced analytics help businesses gain competitive edge?

    - What is defined as sensitive data?

    - Will GDPR affect the way you're allowed to use customer data?

    - What opportunities are there to utilise sensitive data?

    Unlocking the data’s true value is a challenge, but there are a range of tools and techniques that can help. This live discussion will focus on the data analytics landscape; compliance considerations and opportunities for improving data utility in 2018 and beyond.

    Key takeaways:

    - A view of the data protection landscape

    - How to remaining compliant with GDPR when using customer data

    - Use cases for advanced analytics and machine learning

    - Opportunities for maximising data utility in 2018
  • Multi-Cloud Storage: Addressing the Need for Portability and Interoperability
    Multi-Cloud Storage: Addressing the Need for Portability and Interoperability John Webster, Senior Partner, Evaluator Group, Mark Carlson, SNIA CSI Co-Chair, Alex McDonald, SNIA CSI Chair Recorded: Dec 12 2017 43 mins
    In a recent survey of enterprise hybrid cloud users, the Evaluator Group saw that nearly 60% of respondents indicated that lack of interoperability is a significant technology-related issue that they must overcome in order to move forward. In fact, lack of interoperability was chosen above public cloud security and network security as significant inhibitors. This webcast looks at enterprise hybrid cloud objectives and barriers with a focus on cloud interoperability within the storage domain and the SNIA’s Cloud Storage Initiative to promote interoperability and portability of data stored in the cloud.
  • From Big Data to AI: Building Machine Learning Applications
    From Big Data to AI: Building Machine Learning Applications Maloy Manna Data engineering PM, AXA Data Innovation Lab Recorded: Dec 12 2017 49 mins
    The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere.

    Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data.

    But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do?

    This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.
  • Applying Machine Learning to unstructured files and data for research
    Applying Machine Learning to unstructured files and data for research Dr Tom Parsons, Research Director and Dr Stuart Bowe, Data Scientist from Spotlight Data Recorded: Dec 12 2017 45 mins
    Researchers generate huge amounts of valuable unstructured data and articles from research every day. The potential for this information is huge: cancer and pharmaceutical breakthroughs, advances in technology and cultural research that can improve the world we live in.

    This webinar discusses how text mining and Machine Learning can be used to make connections across this broad range of files and help drive innovation and research. We discuss using Kubernetes microservices to analyse the data and then applying Machine Learning and graph databases to simplify the reuse of the data.
  • Unprotected Files on a Public Cloud Server: Live Panel on the NSA Data Leak
    Unprotected Files on a Public Cloud Server: Live Panel on the NSA Data Leak Chris Vickery, George Crump, David Linthicum, Charles Goldberg, Mark Carlson Recorded: Dec 8 2017 59 mins
    Public, private and hybrid cloud are nothing new, but protecting sensitive data stored on these servers is still of the utmost concern. The NSA is no exception.

    It recently became publicized that the contents of a highly sensitive hard drive belonging to the NSA (National Security Agency) were compromised. The virtual disk containing the sensitive data came from an Army Intelligence project and was left on a public AWS (Amazon Web Services) storage server, not password-protected.

    This is one of at least 5 other leaks of NSA-related data in recent years. Not to mention the significant number of breaches and hacks we’ve experienced lately, including Yahoo!, Equifax, WannaCry, Petya, and more.

    The culprit in this case? Unprotected storage buckets. They have played a part in multiple other recent exposures, and concern is on the rise. When it comes to storing data on public cloud servers like AWS, Azure, Google Cloud, Rackspace and more, what are the key responsibilities of Storage Architects and Engineers, CIOs and CTOs to avoid these types data leaks?

    Tune in with Chris Vickery, Director of Cyber Risk Research at UpGuard and the one who discovered the leak, along with George Crump, Chief Steward, Storage Switzerland, David Linthicum, Cloud Computing Visionary, Author & Speaker, Charles Goldberg, Sr. Director of Product Marketing, Thales e-Security, and Mark Carlson, Co-Chair, SNIA Technical Council & Cloud Storage Initiative, for a live panel discussion on this ever-important topics.
  • The New Business Reality of GDPR with David Siegel and Michael Shea
    The New Business Reality of GDPR with David Siegel and Michael Shea David Siegel and Michael Shea (20|30) Recorded: Nov 30 2017 52 mins
    The new business reality of GDPR and how you use customer data is inexorably approaching, if you work in or are doing business with anyone in the EU you must deal with this regulation.

    With data protection, there are really only two options: protection of data through ever-more data centralization and security or turning the customer data paradigm on its head and decentralize the data.

    We have a new model: give your customers full control over their data, gain their trust, and lower your costs with the open-source Pillar Business Wallet. Join our conversation Thursday, 30th of November.

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