Interop ITX 2017 Schedule Builder

Interop ITX 2017 Schedule Builder

View, browse and sort the Interop agenda by track, pass type, format, session day/time, and conference journey. With the Interop ITX Schedule Builder, you can build your schedule in advance and access it during the show via export or in your Interop ITX Mobile App.

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  • Future of Data Summit - Day 1

    Speakers:
    Location:  Room 112
    Format: Summit
    Conference Journeys: Business/Data Analyst
    Track: Data & Analytics
    Pass Type: All Access, Summits & Workshops - Get your pass now!
    Vault Recording: TBD
    Audience Level: Business/Data Analyst

    Today, the need for businesses to collect, process and analyze data is unprecedented, and opportunities for leveraging that data have never been greater. This two-day event will delve into emerging areas that can help your business not only make the most of its data, but create new business models and revenue streams. We'll explore areas like artificial intelligence, deep learning, machine learning, cognitive computing, neural networks, and robotics and uncover how practical applications of the technology can change your business.

    AGENDA:
    9:00 - 9:10 AM:
    Intro (Sam Charrington)

    9:10 - 9:45 AM: Enterprise AI and the Future of Data (Sam Charrington)

    9:45 - 10:30 AM: Living on the Edge: Everything You Want to Know About Edge Computing (Janakiram MSV)
    Edge Computing is an emerging trend where compute resources move closer to the source of the data. It is becoming a key part of IoT deployments in which sensor data is ingested, aggregated, processed, and analyzed before moving it to the cloud platforms. This session will discuss the current state of Edge Computing, its impact on data platforms, reference architecture, and the roadmap.

    BREAK

    10:45 - 11:30 AM: Data Gravity and Archimedes' Lever for IoT (Dave McCrory)

    11:30 AM - 12:00 PM: The Intersection of Big Data, Cloud, Mobility and IoT: Making the Connections (Bob Familiar)
    Connecting people, places and things to the cloud, while not trivial, may be one of the easier aspects of IoT as the techniques and protocols are very well defined. The real work begins when you have thousands of devices connected to the cloud and you need to manage the day to day operations of this extremely distributed system. This session will provide practical guidance on how to architecture and implement a hosted SaaS solution that uses a microservice architecture and PaaS services for IoT, device management, real-time analytics, big data storage and advanced analytics.

    LUNCH

    1:00 - 1:45 PM: Securing Tomorrow's Data: Cloud, IoT, Big Data & Cognitive (Diana Kelley)
    The massive amount of data that we can collect and interact with has been a boon for business users; from keeping us productive on the road to increasing our insight and interaction with our customers. And just as that data has value to us, it also has value to attackers - balancing data protection with data access is an ongoing challenge. In this session we'll take a look at some of the latest trends in data security and data loss, discuss the big data and IoT data conundrums, and the importance of building security into the design of our data lakes and Io "things." We'll look at the next era of data security and how collaboration and enhanced machine analytics and learning can help us monitor and protect tomorrow's data while leveraging insights from ever growing data sets as part of a critical data protection program.

    1:45 - 2:30 PM: How the Future of Hardware Enables the Future of Data (Assaf Araki)

    BREAK

    3:00 - 4:00 PM: Visibility: The Key to Managing Data-Driven Operations Like a Digital Native (Eric Sammer)
    The explosion of new services via digital transformation is generating a treasure trove of operational and business data. When analyzed and applied correctly, insights from this valuable data can propel business forward -- a winning trait among digitally native companies. New areas like robotics and IoT are additionally generating an even greater volume of valuable data. Yet supporting these new services and technologies is a fragile and sprawling web of infrastructure, wherein every piece has become mission critical. Achieving higher level total visibility that includes all operations and business seems like an impossible task. Without the right infrastructure monitoring in place to economically collect, store, and analyze this full fidelity data in real time, most companies leave valuable insights on the cutting room floor.

    This session will explore:
    • How you can transform into a digital native by using operational data effectively
    • Requirements for leveraging data at hyper scale across all operations, all the time, and in real time
    • How machine learning, intelligent assistance, and automation are leveling the playing field so IT teams can further compete with digital natives
    • Applications of next gen operational visibility: preventing the next high profile data breach or front page outage, optimizing business processes, and delivering a new breed of customer experiences.

    4:00 - 5:00 PM: Data + AI: Unlocking the Potential (Ashley Fidler)
    There's a lot of excitement around AI and data right now. There is also a lot of hype. Nevertheless, possibilities are emerging at the intersection of these areas that have never existed before. As you put new data infrastructure into place, it's exciting to consider the opportunities that this powerful combination can unlock. In this session, we'll look at the leading edge uses of AI for business, the attributes of successful AI deployments, and the implications for those who are working to maximize the value of data in the enterprise.