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 2

    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.

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

    9:10 - 9:45 AM: Understanding Deep Neural Networks (James McCaffrey)
    In the past two years, deep neural networks have been responsible for major breakthroughs in speech recognition (Siri & Cortana), pattern recognition (self-driving cars), and machine learning (predicting NFL football scores). In this lively and informal session, Dr. James McCaffrey will explain exactly what deep neural networks are and how they work, without using Greek letters or annoying math jargon. You'll leave this session with a solid understanding of deep neural networks, know what they can and cannot do, and have insights into the future of deep learning.

    9:45 - 10:30 AM:
    Building AI Products (Josh Bloom)


    10:45 - 11:20 AM: TBA (Zachary Hanif)

    11:20 AM - 12:00 PM: Marketing in the Age of AI (Srividya Kannan Ramachandran)
    Srividya will address the evolution of traditional marketing into a sophisticated data-driven field. She will explore recent trends in the adoption of machine learning and artificial intelligence within marketing. Srividya will leave the audience with two case studies of successful use of machine learning at Level 3 Communications to improve our targeting effectiveness and sales productivity.


    1:00 - 1:45 PM: Big Data and the Advent of Data Mixology (Jennifer Prendki)
    Data is now considered one of a company's most valuable assets, and data-centricity is the new name of the game in business. Yet, interestingly, the main obstacle to leveraging this data is not related to technology, but to accessing the data itself. Indeed, data silos are quickly becoming a daunting barrier to collaboration and efficiency because they both disrupt productivity and jeopardize data integrity. Data in a silo is virtually useless as it is isolated from broader decision-making. And no matter its volume or velocity, a data set isn't that attractive if it can't be integrated or enriched with other sources of information.

    Data integration is particularly important for omnichannel retailers who aim at a progressive elimination of customer experience fragmentation. Walmart is particularly well positioned on the market to obtain a comprehensive view of the shopping behavior of its customers and provide them with a seamless experience. Unfortunately, because data silos tend to arise naturally in large organizations, Walmart is also particularly vulnerable to the problem. This talk covers the various challenges related to data integration in the context of omnichannel retail.

    1:45 - 2:15 PM: AI in the Enterprise Panel Discussion (Srividya Kannan Ramachandran, Zachary Hanif)

    2:15 - 2:30 PM Lightning Talk (Jeff Lundberg)
    A key part of organizations' digital transformation initiatives is the need to transform how their employees work. Today's employees demand a digital, collaborative, dynamic and mobile work environment. They want fast access to their data, on any device they choose and anywhere they happen to be working. While there are a number of options available to users, IT must ensure proper compliance, governance, security and protection of data in this new highly connected and collaborative workplace. Learn how Hitachi Data Systems is addressing the needs of both users and IT with an integrated portfolio of solutions.


    3:00 - 4:00 PM: The Future of Reality: Augmented & Virtual Reality For Enterprise (Amy Peck)
    AR & VR are poised to change the way we work, learn, heal, and engage. Amy will share how AR/VR is being leveraged across enterprise verticals and how companies should be looking at this technology. From customer and consumer facing solutions to process, productivity and workflow, there are myriad ways to bring this technology into enterprise. That said, it is a long and costly endeavor and companies need to consider a number of factors. Learn how to avoid the pitfalls of building AR/VR solutions and how to build a successful and scalable roadmap that evolves along with the technology.

    4:00 - 5:00 PM: Blockchain: The Future of Security Through Decentralized Applications (Andre De Castro)
    The bitcoin blockchain has proven to be a highly secure, peer-to-peer infrastructure - protecting over 20 billion dollars of value. With a global footprint, this decentralized network provides a unique opportunity for a new class of applications. Applications can now be built to reliably communicate with one another, removing cloud dependence that are susceptible to Denial of Service Attacks and centralized points of failures. No longer can a cloud infrastructure affect hundreds of connected systems. The blockchain's ability to secure messages in transit - and provide reliable delivery and traceability - creates a new foundation of trust.