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  • The AI use cases that keep you competitive
    The AI use cases that keep you competitive Matthias Keller, Kayak Recorded: Mar 14 2018 62 mins
    The hype surrounding AI has reached a fever pitch, but practical uses that are delivering concrete, practical business results are here, and it’s time to get real.

    From taking over the routine requests for customer service agents, reducing costs, speeding up service, and boosting customer satisfaction, to reliably helping marketers deliver what a customer wants, when they want it and where, AI is popping up everywhere, and companies need to figure out where they stand, fast, to stay competitive.

    Join this VB Live event, hosted by Forrester Senior Analyst Brandon Purcell and Kayak Chief Scientist Matthias Keller to learn more about how to identify the AI use cases that can transform your business, and how to get started, stat.

    You’ll learn:
    * What technologies fall under the AI umbrella
    * How companies like Kayak use AI to understand customers and personalize experiences
    * How to identify the right AI use case for your business
    * Common challenges firms face when implementing AI
    * Why AI’s time in the sun has finally come, and why it’s here to stay

    * Brandon Purcell, Principal Analyst, Forrester
    * Matthias Keller, Chief Scientist, Kayak
    * Martine van der Lee, Director of Social Media, KLM
    * Pradeep Elankumaran, CEO and Co-Founder of Farmstead
    * Rachael Brownell, Moderator, VentureBeat
  • AI-powered customer engagement isn’t optional anymore
    AI-powered customer engagement isn’t optional anymore Brian Gross, VP Digital Innovation, Aeromexico Recorded: Feb 27 2018 61 mins
    AI isn’t a nice-to-have any more, it’s a must-have. There’s a reason why corporate giants like Google, IBM, Yahoo, Intel, Apple, and Salesforce are competing to snatch up private AI companies. In the first quarter of 2017 alone, 37 AI companies were swallowed whole.

    Companies aren’t just using these AI tools to enable existing marketing strategies; they’re taking those strategies to the next level, going beyond simple retention and delivering active engagement. AI technology offers companies unprecedented insight into customer behaviors, patterns, and beliefs, allowing you to seamlessly anticipate customer needs and serve up hyper-personalized, emotionally resonant campaigns where and when they’re most welcome.

    2018 is the year to seize the AI advantage. To learn more about the technology you need, the opportunities it unlocks, and what it takes to get your ball in the game, don’t miss this VB Live event!

    In this webinar, you'll learn:
    * What’s new in AI for 2018 -- and what’s coming down the pike
    * How businesses are using AI to drive results
    * How to go beyond customer retention and power customer engagement

    * Brian Gross, VP Digital Innovation, Aeromexico
    * Dan Wulin, Director of Data Science, Wayfair
    * Michael Healey, President, Yeoman Technology Group
    * Rachael Brownell, Moderator, VentureBeat

    Sponsored by Lytics
  • 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.

    After the webcast, check-out the Q&A blog http://www.sniacloud.com/?p=296
  • Neural Networks/Deep Learning to Transform Modern AI Platform
    Neural Networks/Deep Learning to Transform Modern AI Platform Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Feb 22 2018 64 mins
    AI is changing the way organizations do businesses and how they interact with customers. AI continues to drive the change. Deep Learning and Natural Language Processing will become standards in AI solutions. Deep Learning is based on brain simulations and uses deep neural networks. AlphaGo is the first AI system to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Baidu improved speech recognition from 89% to 99% using Deep Learning. Every AI and Machine learning scientist is required to know Deep Learning tools in his / her current job scenario.

    In this session, we will be discussing what is Deep Learning and why it is gaining popularity. We will explain AI solutions using Deep Learning with a practical example. Deep Learning has an edge over other machine learning techniques as with the increased volume of data, performance increases with Deep Learning. Further, Deep Learning enables Hierarchical Feature Learning i.e. learning feature hierarchies.
  • Panel Discussion: The Road to a Data-Driven Business
    Panel Discussion: The Road to a Data-Driven Business Jen Stirrup, Gordon Tredgold, Joanna Schloss, & Lyndsay Wise Recorded: Feb 22 2018 62 mins
    Join Jenn Stirrup (Director, DataRelish), Gordon Tredgold (CEO & Founder, Leadership Principles LLC), Joanna Schloss (Data Expert) and Lyndsay Wise (Solution Director, Information Builders) as they discuss what it takes to take a business from needing analytics to leveraging analytics successfully.
  • Embedded Analytics: Why it's the Future of Business Intelligence
    Embedded Analytics: Why it's the Future of Business Intelligence Anil Saini, Data Viz Expert, Srijan Technologies Recorded: Feb 21 2018 37 mins
    In this talk we will see whether we are building our first product or revamping an existing one, Embedded Analytics can help us solve real customer problems, which builds product value and creates a competitive differentiator to propel our business forward.

    Additionally, we'll deeply look into how Embedded Analytics is different from Traditional Business Intelligence and what are the factors/trends driving Embedded Analytics.
  • What is your Land Value, Thessaloniki? A Real (estate) Data Visualization Story
    What is your Land Value, Thessaloniki? A Real (estate) Data Visualization Story Charalampos Xanthopoulakis, Data Visualizations Architect Recorded: Feb 20 2018 46 mins
    Selling your house in the financial crisis-stricken Greece is up to this day a great ordeal. When faced with such a challenge, I was baffled by the sparsity of conclusive data on land value at my birthplace city, Thessaloniki. Embarking on a personal mission and collecting and processing more than 10K online housing ads together with open data, I managed to render an insightful interactive visualization of the actual real estate values on borough and city block level that was published through the Greek media. Join me on this thought process journey to find out how to

    o Gather vast online data with simple scripting

    o Combine your data with open data into meaningful structures

    o Create interactive data visualizations that have an actual impact @ infographeo.com

    This will be an interactive session, so please feel free to bring your thoughts and questions to share during the session.
  • RIDE Containerized Data Science IDE server For Enterprise
    RIDE Containerized Data Science IDE server For Enterprise Ali Marami, Data Science Advisor at R-Brain Recorded: Dec 14 2017 45 mins
    RIDE is an all-in-one, multi-user, multi-tenant, secure and scalable platform for developing and sharing Data Science and Analytics, Machine Learning (ML) and Artificial Intelligence (AI) solutions in R, Python and SQL.

    RIDE supports developing in notebooks, editor, RMarkdown, shiny app, Bokeh and other frameworks. Supported by R-Brain’s optimized kernels, R and Python 3 have full language support, IntelliSense, debugger and data view. Autocomplete and content assistant are available for SQL and Python 2 kernels. Spark (standalone) and Tesnsorflow images are also provided.

    Using Docker in managing workspaces, this platform provides an enhanced secure and stable development environment for users with a powerful admin control for controlling resources and level of access including memory usage, CPU usage, and Idle time.

    The latest stable version of IDE is always available for all users without any need of upgrading or additional DevOps work. R-Brain also delivers customized development environment for organizations who are able to set up their own Docker registry to use their customized images.

    The RIDE Platform is a turnkey solution that increases efficiency in your data science projects by enabling data science teams to work collaboratively without a need to switch between tools. Explore and visualize data, share analyses, all in one IDE with root access, connection to git repositories and databases.
  • 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
  • The Role of Data in XR
    The Role of Data in XR Amy Peck, Founder/CEO, EndeavorVR Recorded: Dec 13 2017 31 mins
    Knowledge is power, but how do we use data for better insights and understanding? What are the benefits and perhaps more importantly, what are the risks?

    In this webinar, we will look at both sides of Data in XR:

    • Data Visualization within a virtual environment
    ⁃ Examining large data sets in 3D
    ⁃ Translating 2D into 3D
    ⁃ Interacting with data
    ⁃ Rethinking how we analyze data

    • Capturing data from virtual environments
    ⁃ Data points from within the environments
    ⁃ How companies are using captured XR Data
    ⁃ Connecting 2D & 3D data sets
    ⁃ Privacy and personal data

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