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Big Data Analytics

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  • Can you deliver the personalization your customers demand?
    Can you deliver the personalization your customers demand?
    David Hardtke, Director of Advertising Science, Pandora Recorded: Nov 6 2018 61 mins
    More and more, savvy customers are willing to share info about themselves and their browsing behavior — but in return, you have to use those powers for good. Or in other words, start serving them up completely personalized web and mobile ads that reflects their tastes, values, and preferences in every (not-creepy) way. It’s the key to delivering the kind of goods and services that keep your customers clicking — and more than happy to keep handing over their personal information.

    It’s also hard to pull off. To learn how companies like Pandora flawlessly serve up the customized advertising that clicks, don’t miss this VB Live event!

    Register here for free.

    Attend this webinar and learn about:
    * How to offer your customers content that connects to their lifestyle and tastes
    * The intersection between art and science in the new world of hyper-personalized advertising
    * How to create customized content that connects without creeping out customers
    * Best practices companies like Pandora and Trulia use to create authenticity and bring in more revenue.

    Speakers:
    * David Hardtke, Director of Advertising Science, Pandora
    * Deep Varma, VP of Engineering Trulia
    * Moira Dorsey, Founder, Dorsey Experience
    * Rachael Brownell, Moderator, VentureBeat

    Sponsored by Cvent
  • DCX Series [Ep. 5]: Is Artificial Intelligence Ready for Primetime?
    DCX Series [Ep. 5]: Is Artificial Intelligence Ready for Primetime?
    Robin Gareiss, President & Founder, Nemertes Research Recorded: Oct 4 2018 49 mins
    All the rage these days is about AI, or artificial intelligence. Enterprise and business leaders do not rate AI as the most transformative technology for their Digital Customer Experience (DCX) strategies, but it's near the top. In this webinar, you'll learn:
    *What is the top transformative technology and why?
    *What are the adoption plans for AI in companies' DCX strategies?
    *How are companies using AI in the contact center, to measure customer success, and to engage customers?
    *What are the key benefits--and they key problems--with AI?
    *Which AI technologies do companies plan to use?

    We look forward to sharing this information with you!
  • Real World IoT Podcast | Ep. 17 | ft Procon Analytics | Strategic Partnerships
    Real World IoT Podcast | Ep. 17 | ft Procon Analytics | Strategic Partnerships
    151 Advisors | Daniel Walpole | Ken Briodagh Recorded: Aug 8 2018 52 mins
    On this week’s episode of the Real World IoT Podcast, host Ken Briodagh discusses how important relationships and partnerships are within the Internet of Things Industry with Chief Data Officer of Procon Analytics, Daniel Walpole. Since coming to the United States, Daniel ran business units and sales organizations for major cellular networks like AT&T, Sprint, and Verizon. Over the last 15 years, Daniel has worked with Verizon Wireless; and for the last 6 or so of those 15, he was in charge of developing the Verizon partner program.
  • IT Ops SIG Talk Ep. 8: Advanced Data Analysis with Operations Bridge
    IT Ops SIG Talk Ep. 8: Advanced Data Analysis with Operations Bridge
    Brian Bowden Recorded: Jun 21 2018 11 mins
    Advanced Data Analysis with Operations Bridge

    Every day big data becomes bigger, and each day enterprises are coming up with new use cases for the data they have at their disposal. Finding systems that have the capabilities and the horsepower to deliver on the use case is a challenge. Greenlight Group will review one such use case, and how Operations Bridge System Collectors and Operations Bridge Analytics were leveraged to harness the power of big data to process millions per day and provide near live dashboards of critical IBM DataPower statistics for one of its customers.

    We will show real world Perl scripting examples for you to try in your environment.
  • IT Ops SIG Talk Series: Mainframe to UD, Data Analysis w/ OpsBridge, Vertica
    IT Ops SIG Talk Series: Mainframe to UD, Data Analysis w/ OpsBridge, Vertica
    Chip Sutton, Brian Bowden, Jay Batson Recorded: Jun 21 2018 47 mins
    IT Operations SIG Talk Series: Mainframe to UD, Data Analysis with OpsBridge, Vertica into BVD (complete edition)

    This Vivit SIG Talk session will feature speakers who will share their vast knowledge and experience on Mainframe to Universal Discovery (UD), Data Analysis with Operations Bridge and Vertica into BVD.

    Shown below is an outline of the agenda and topics:

    •Speaker: Chip Sutton
    Integrate IBM mainframe & iSeries (AS/400) into Micro Focus Universal Discovery

    •Speaker: Brian Bowden
    Advanced Data Analysis with Operations Bridge

    •Speaker: Jay Batson
    How to Integrate Vertica and other 3rd party data sources into BVD
  • Does it matter if an algorithm can't explain how it knows what it knows?
    Does it matter if an algorithm can't explain how it knows what it knows?
    Beau Walker, Founder, Method Data Science Recorded: May 24 2018 34 mins
    With the General Data Protection Regulation (GDPR) becoming enforceable in the EU on May 25, 2018, many data scientists are worried about the impact that this regulation and similar initiatives in other countries that give consumers a "right to explanation" of decisions made by algorithms will have on the field of predictive and prescriptive analytics.

    In this session, Beau will discuss the role of interpretable algorithms in data science as well as explore tools and methods for explaining high-performing algorithms.

    Beau Walker has a Juris Doctorate (law degree) and BS and MS Degrees in Biology and Ecology and Evolution. Beau has worked in many domains including academia, pharma, healthcare, life sciences, insurance, legal, financial services, marketing, and IoT.
  • Semantic AI: Bringing Machine Learning and Knowledge Graphs Together
    Semantic AI: Bringing Machine Learning and Knowledge Graphs Together
    Kirk Borne, Principal Data Scientist, Booz Allen Hamilton & Andreas Blumauer, CEO, Managing Partner Semantic Web Company Recorded: May 23 2018 64 mins
    Implementing AI applications based on machine learning is a significant topic for organizations embracing digital transformation. By 2020, 30% of CIOs will include AI in their top five investment priorities according to Gartner’s Top 10 Strategic Technology Trends for 2018: Intelligent Apps and Analytics. But to deliver on the AI promise, organizations need to generate good quality data to train the algorithms. Failure to do so will result in the following scenario: "When you automate a mess, you get an automated mess."

    This webinar covers:

    - An introduction to machine learning use cases and challenges provided by Kirk Borne, Principal Data Scientist at Booz Allen Hamilton and top data science and big data influencer.
    - How to achieve good data quality based on harmonized semantic metadata presented by Andreas Blumauer, CEO and co-founder of Semantic Web Company and a pioneer in the application of semantic web standards for enterprise data integration.
    - How to apply a combined approach when semantic knowledge models and machine learning build the basis of your cognitive computing. (See Attachment: The Knowledge Graph as the Default Data Model for Machine Learning)
    - Why a combination of machine and human computation approaches is required, not only from an ethical but also from a technical perspective.
  • How AI is Changing Marketing
    How AI is Changing Marketing
    Gil Allouche, CEO, Metadata.io Recorded: May 17 2018 43 mins
    In this webinar, Metadata.io CEO Gil Allouche will talk about the different ways AI is being used by marketers. From analyzing data to orchestrating new marketing campaigns, AI is powering marketing activities in new and exciting ways and affecting interactions throughout the entire customer lifecycle. As an example of how AI can have a tremendous impact on marketing practices, Gil will focus on its role in lead generation. Webinar attendees will learn:

    - What Machine Learning is in relation to AI and how it connects your data to find patterns
    - Examples of how machine learning can identify target audiences, including the 20 percent that creates 80 percent of your revenue
    - How AI technology can help marketers prioritize their budgets to focus on the most effective programs
    - Starting with small, iterative uses of AI in marketing can be the most effective way to understand what will yield the most ROI

    Gil Allouche founded Metadata.io to make demand generation easy for non-technical marketers. The Metadata.io platform and AI Operator evolved from Gil's experiences hacking various marketing and CRM systems to get the solutions he needed.
  • Customer-Centered AI: A Radical Strategy
    Customer-Centered AI: A Radical Strategy
    Geordie Kaytes, Partner, Heroic Recorded: May 16 2018 34 mins
    AI is a powerful tool, but often companies get more excited about their technology than in the customer value they’re creating. Geordie Kaytes will share a framework for building customer-centered AI products. You’ll learn how to craft a far-reaching vision and strategy centered around customer needs and balance that vision with the day-to-day needs of your company.

    Learn a framework for creating and communicating a vision that describes the overall direction of your AI product, a defined product strategy, a cross-functional roadmap aligned with the strategy, and a list of metrics that track progress towards the strategy

    About the Speaker: Geordie Kaytes is the director of UX strategy for Boston-area UI/UX studio Fresh Tilled Soil and a partner at Heroic (https://www.heroicteam.com), a design leadership coaching firm that helps growing companies scale their digital product capabilities. A digital product design leader with deep experience in design process transformation and cross-functional expertise in design, strategy, and technology, Geordie has helped companies in a broad range of industries develop a 360-degree view of their product design processes. Previously, he did his obligatory tour of duty in management consulting. He holds a BA from Yale in political science. He is a coauthor of the Medium publication Radical Product.
  • Intelligent Agents and a New Class of Perceived Errors
    Intelligent Agents and a New Class of Perceived Errors
    Dennis R. Mortensen, CEO and Founder, x.ai Recorded: May 16 2018 47 mins
    As we move to the conversational UI and take advantage of NLP and AI in general, we change the way we interact with technology dramatically. The standard GUI is many times fully eliminated, leading to novel challenges in UX. Tasks are removed from the user’s oversight with invisible or seamless software, and the output is not always as expected. But sometimes that output is correct within the parameters given and simply perceived as an error.

    Dennis will talk through where x.ai has encountered error perception issues as we seek to develop frictionless software, how we thought about the problem and the communication strategies we’re exploring to resolve it.

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