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Business Intelligence and Analytics

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  • [Ep.22] Founders Spotlight: Ash Seddeek, Founder of bestcash
    [Ep.22] Founders Spotlight: Ash Seddeek, Founder of bestcash Ash Seddeek, Founder of bestcash and Erin Junio, Content Manager at BrightTALK Recorded: Oct 16 2018 41 mins
    This webinar is part of BrightTALK's Founders Spotlight Series, where each week we feature inspiring founders and entrepreneurs from across industries.

    In this episode, Ash Seddeek will share how he channeled his entrepreneurial spirit into the launch of bestcash - a Fintech start up bringing a new point of view to financial services servicing 70-140k income earners.

    Ash will answer questions about:

    - What inspired him to start bestcash.
    - What problem or pain points he aims to solve with bestcash.
    - How to close the gap between financial services companies and their target users.
    - How he plans to sustain bestcash's differentiation in order to appeal to customers and keep them coming back in the long term.

    Join us for this live session where we encourage the audience to participate by asking Ash any live questions they may have!
  • Data Science Apps: Beyond Notebooks with Apache Toree, Spark and Jupyter Gateway
    Data Science Apps: Beyond Notebooks with Apache Toree, Spark and Jupyter Gateway Natalino Busa, Head of Applied Data Science, Teradata Recorded: Oct 16 2018 48 mins
    Jupyter notebooks are transforming the way we look at computing, coding and problem solving. But is this the only “data scientist experience” that this technology can provide?

    In this webinar, Natalino will sketch how you could use Jupyter to create interactive and compelling data science web applications and provide new ways of data exploration and analysis. In the background, these apps are still powered by well understood and documented Jupyter notebooks.

    They will present an architecture which is composed of four parts: a jupyter server-only gateway, a Scala/Spark Jupyter kernel, a Spark cluster and a angular/bootstrap web application.
  • Different Strategies of Scaling H2O Machine Learning on Apache Spark
    Different Strategies of Scaling H2O Machine Learning on Apache Spark Jakub Hava, Software Engineer at H2O.ai Recorded: Oct 9 2018 46 mins
    Sparkling Water integrates H2O, open source distributed machine learning platform, with the capabilities of Apache Spark. It allows users to leverage H2O’s machine learning algorithms with Apache Spark applications via Scala, Python, R or H2O’s Flow GUI which makes Sparkling Water a great enterprise solution.

    Sparkling Water 2.0 was built to coincide with the release of Apache Spark 2.0 and introduces several new features. One of the latest and largest features is the ability to configure Sparkling Water for different workloads, scale and optimize the platform according to your data and needs.

    In this talk we will introduce the basic architecture of Sparkling Water, go over different scaling strategies and explain the pros and cons of each solution. We will also compare the approaches with regards to the specific use cases and provide the rationale why or why not each solution may be a good fit for the desired use case.

    This talk will finish with a live demo demonstrating the mentioned approaches and should give you a real time experience of configuring and running Sparkling Water for your use case(s)!
  • Location data: The secret to really knowing your customer
    Location data: The secret to really knowing your customer David Bairstow, SVP Product Management, Skyhook Recorded: Oct 3 2018 60 mins
    Where are your target customers going, and how are they spending their time and, more importantly, their dollars? Location data and intelligence – not just on how consumers are interacting with your brand but also with your competitors – is key to crafting a killer consumer experience and reaching them when and where their hearts and minds (and wallets) are ready to be captured.

    From foot traffic patterns and location visits to frequency analysis, custom venue visit analysis offers powerful, actionable insights to companies looking for a competitive edge in a crowded field. Learn how to capture new customer interest, keep older customers coming back, and boost your market share when you join this VB Live event!

    Register for free now!

    During this webinar you’ll learn how to:
    * Boost engagement with location-based consumer insights and competitive intelligence
    * Gain insight into the behavioral patterns of customers and prospects
    * Apply the best use of location data for your business

    Speakers:
    * David Bairstow, SVP Product Management, Skyhook
    * Sheryl Jacobson, Principal Consulting Strategy and Analytics, Deloitte Consulting LLP
    * Stewart Rogers, Analyst at Large, VentureBeat (Moderator)

    Sponsored by Skyhook
  • Avatars, AI and Chatbots
    Avatars, AI and Chatbots VR/AR Association, Quantum Capture, Portico Recorded: Sep 12 2018 79 mins
    Avatars, AI and Chatbots: Learn how virtual humans, immersive technology, and AI chatbots are being used across multiple industries. Retail, hospitality, real estate, training, customer service, professional sports, health and wellness, and celebrities are now being driven by human realistic avatars and AI. Learn how Quantum Capture, Portico, and other industry leaders are helping big brands increase the bottom line, drive sales, and enhance productivity. Virtual humans can convey trust, empathy, and evoke an emotional connection that increases guest satisfaction, increases learning and retention, and overall happiness.
  • Analyse, Visualize, Share Social Network Interactions w Apache Spark & Zeppelin
    Analyse, Visualize, Share Social Network Interactions w Apache Spark & Zeppelin Eric Charles, Founder at Datalayer Recorded: Sep 11 2018 49 mins
    Apache Spark for Big Data Analysis combined with Apache Zeppelin for Visualization is a powerful tandem that eases the day to day job of Data Scientists.

    In this webinar, you will learn how to:

    + Collect streaming data from the Twitter API and store it in a efficient way
    + Analyse and Display the user interactions with graph-based algorithms wi.
    + Share and collaborate on the same note with peers and business stakeholders to get their buy-in.
  • Q&T SIG Talk Series - Combining LeanFT w/ Selenium & Leveraging LeanFT
    Q&T SIG Talk Series - Combining LeanFT w/ Selenium & Leveraging LeanFT Daniel Horn, Jonathon Wright Recorded: Sep 11 2018 62 mins
    SIG Talk: Quality & Testing - LeanFT: How to Combine with Existing Selenium & How It Enables Intelligent Automation (Complete Edition)

    Another exciting Quality and Testing SIG Talk focused around Micro Focus LeanFT will feature speakers from Germany and the United Kingdom. Both of these experts will share their knowledge and experience with Micro Focus LeanFT and how it can be combined with your existing Selenium test automation as well as how it can enable Intelligent Automation (IA).

    Speaker: Daniel Horn
    Combining Micro Focus LeanFT with your Existing Selenium Test Automation: Based on current market disruptors, we want to give an Introduction into Micro Focus LeanFT. Starting with a short Comparison of LeanFT and Selenium, the main topic will be the integration of LeanFT into existing Selenium solutions. At the end, we will give a few guidelines and ideas for using LeanFT in your projects.

    Speaker: Jonathon Wright
    Enterprise AIOps – Augmented Intelligence – Leveraging Micro Focus LeanFT to enable Intelligent Automation (IA): The dawn of Artificial Intelligence (AI) is upon us. Is your favorite test harness up to the job of testing AI platforms like Graph-based ML or Computer Vision? How can you practically start your journey towards Enterprise AIOps? Leveraging Micro Focus LeanFT to enable Intelligent Automation across Functional API, along with Security and Performance testing utilizing microcontainerization technologies such as Docker and Kubernetes, will help you achieve enterprise grade cognitive adaptive testing.
  • Data is the New Oil and Martech is the Oil Refinery
    Data is the New Oil and Martech is the Oil Refinery Adnyesh Dalpati, Solutions Architect, Iotians Group Recorded: Aug 30 2018 45 mins
    Marketers have inevitably grown more and more reliance on data, with the general view being held that collecting more data means knowing more about your audience. But having more data is not the only prerogative but monetizing it by using right set of tools and technology is the way forward.

    This webinar will focus in interesting ways marketing technology can enable businesses to monetize their data.
  • Machine Learning Challenges - Data Integration and Transformation
    Machine Learning Challenges - Data Integration and Transformation Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Aug 29 2018 51 mins
    AI Machine Learning model accuracy depends on the quality of data. In data science, when we say quality of data, it means data consistency, data completeness and data correctness which are all part of data integrity. In this session we will talk about how machine learning models can be adopted for data integration. Also, in case of some of the machine learning models, we assume data is normally distributed or data elements are appropriately scaled. However, it is not always true. Hence, data has to be transformed by normalizing data without losing its integrity. This is a big challenge in data science. Data integrity is maintained with the help of integrity constraints or the rules that are designed to keep data consistent and correct. In this session we will discuss some of the techniques and methods used for data integration, data transformation and normalization while ensuring data integrity. We will walk you through the steps involved with the help of examples.
  • How to Share State Across Multiple Apache Spark Jobs using Apache Ignite
    How to Share State Across Multiple Apache Spark Jobs using Apache Ignite Akmal Chaudhri, Technology Evangelist, GridGain Systems Recorded: Aug 28 2018 42 mins
    Attend this session to learn how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of the Spark RDD abstraction provided in Apache Ignite. During the talk, attendees will learn in detail how IgniteRDD – an implementation of native Spark RDD and DataFrame APIs – shares the state of the RDD across other Spark jobs, applications and workers. Examples will show how IgniteRDD, with its advanced in-memory indexing capabilities, allows execution of SQL queries many times faster than native Spark RDDs or Data Frames.

    Akmal Chaudhri has over 25 years experience in IT and has previously held roles as a developer, consultant, product strategist and technical trainer. He has worked for several blue-chip companies such as Reuters and IBM, and also the Big Data startups Hortonworks (Hadoop) and DataStax (Cassandra NoSQL Database). He holds a BSc (1st Class Hons.) in Computing and Information Systems, MSc in Business Systems Analysis and Design and a PhD in Computer Science. He is a Member of the British Computer Society (MBCS) and a Chartered IT Professional (CITP).

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