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Business Intelligence and Analytics

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  • Video Interview: Rethinking BI in the era of AI and Machine Learning
    Video Interview: Rethinking BI in the era of AI and Machine Learning Naveen Miglani, CEO and co-founder of SplashBI & Ina Yulo, Senior Content Strategist, BrightTALK Recorded: Apr 27 2017 15 mins
    Interview in partnership with BrightTALK, The Stack and Cloud Industry Forum
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    BrightTALK discussed with Naveen Miglani, CEO and co-founder of SplashBI, the relationship between BI and digital transformation.

    Among topics covered:

    1. What is the future of BI?
    2. What are the implications of AI and machine learning on BI?
    3. What's the impact of digital transformation in the BI sector and vice versa?
    4. What can organisations do today to best prepare for all the changes?
    5. What are the key challenges for businesses in adopting and implementing a BI solution?
    6. What's the role of IT now in a self-service BI environment?
    7. Where are we seeing the most ROI when purchasing a BI reporting tool?

    About the speaker:
    Naveen Miglani is the CEO and Founder of Splash Business Intelligence and EiS Technologies. Naveen has more than 25 years of industry experience, including corporate strategy, service offerings, and business intelligence. Prior to joining EiS Technologies, Naveen held leadership roles at GE Energy and Oracle Corporation, as well as worked across many departments, including IT, Management, Business Development, Marketing, and Finance. Naveen holds a BS in Engineering and an MBA with a major in Information Systems and International Business from Mercer University.
  • Introduction to Pretotyping: Cutting-edge innovation with David Siegel
    Introduction to Pretotyping: Cutting-edge innovation with David Siegel David Siegel, Innovator, Investor, and Strategist Recorded: Apr 26 2017 54 mins
    Pretotyping is a growing technique for fast innovation, faster than developing an MVP. Pretotying is about doing the hardest part first, and the hardest part is almost always getting people to change their habits and try something new. Pretotyping allows you to experiment cheaply and look for market signals that you can then build into.

    In this one-hour webinar, you'll learn what pretotyping is, the six main forms, how to iterate quickly, and much more. You'll learn why pretotyping is usually better than building a prototype or an MVP, and how several of today's successful products came out of a pretotyping experiment. Applies equally to physical and digital products and services.

    This is for anyone interested in fast innovation: start-ups, marketers, intrapreneurs, product managers, and more. Pretotyping is a powerful tool that should be in every innovator's toolkit.

    David Siegel is a Silicon Valley serial entrepreneur living in Switzerland. He played a significant role in the development of the Worldwide Web, has written five books, and coaches startups. He is now leading an open-innovation company focused on blockchain and the decentralized economy.
  • Using 3D, Virtual Reality and Social Virtual Worlds for Data Visualisation
    Using 3D, Virtual Reality and Social Virtual Worlds for Data Visualisation David Burden - CEO, Daden Limited, An Immersive Learning and Visualisation Company Recorded: Apr 26 2017 44 mins
    This presentation will look at the new opportunities being opened up for the visualisation of data within both personal and collaborative 3D spaces, delivered to mobile, browser, desktop, virtual reality and social virtual world/social virtual reality environments. The pros and cons of both 3D and VR environments for the creation and sharing of data visualisations will be considered, tools which let you do dataviz in 3D and VR today presented, and future development pathways discussed.
  • Tensorflow: Architecture and use case
    Tensorflow: Architecture and use case Gema Parreño Piqueras. AI product developer Recorded: Apr 21 2017 49 mins
    The webinar drives into the introduction of the architecture of Tensorflow and the designing of use case.

    You will learn:
    -What is an artificial neuron?
    -What is Tensorflow? What are its advantages? What's it used for?
    -Designing graphs in Tensorflow
    -Tips & tricks for designing neural nets
    -Use case
  • The Secrets to WINNING with Machine Learning
    The Secrets to WINNING with Machine Learning Patrick Rice, CEO, Lumidatum Recorded: Apr 13 2017 39 mins
    It’s easy to get caught in the excitement of machine learning and start optimizing RMSE, AUC or recall, but machine learning success starts with aligning to the business.

    Join Patrick Rice, CEO of Lumidatum, as he leverages his decade of experience in big data analytics including implementing machine learning solutions at Amazon to outline the secrets to winning at machine learning and delivering real ROI to the business.
  • Machine Learning To Increase Human Understanding
    Machine Learning To Increase Human Understanding Assaf Baciu, Co-founder, SVP of Product & Engineering at Persado Recorded: Apr 13 2017 46 mins
    There is a misconception that infusing automation into the customer experience will make it less human, and thus less relatable, to consumers. On the contrary, companies are pioneering AI technologies to enable them to gain a deeper understanding of the people they serve, resulting in experiences that are more relevant, personal, emotional, and ultimately rewarding--for customer and company alike.

    Join Assaf Baciu, head of product and co-founder of Persado, who will demonstrate how Fortune 1000 brands are leveraging machine learning to create emotional relationships with their audiences.
  • The Ways Machine Learning and AI Can Fail
    The Ways Machine Learning and AI Can Fail Brian Lange, Partner and Data Scientist, Datascope Recorded: Apr 13 2017 48 mins
    Good applications of machine learning and AI can be difficult to pull off. Join Brian Lange, Partner and Data Scientist at data science firm Datascope, as he discusses a variety of ways machine learning and AI can fail (from technical to human factors) so that you can avoid repeating them yourself.
  • 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: Apr 13 2017 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)!
  • Machine Learning Is Set To Unlock The Power of Business Intelligence
    Machine Learning Is Set To Unlock The Power of Business Intelligence Boaz Farkash - Head of Product Management, Sisense and Philip Lima - CEO, Mashey Recorded: Apr 13 2017 46 mins
    Machine learning can identify patterns that humans tend to overlook or can’t find easily in masses of data.

    When it comes to business intelligence, machine learning brings real opportunity to:

    - Automatically uncover business insights
    - Help make products more suggestive in nature
    - Empower users to get value faster out of their BI projects
    - Reduce implementation complexities
    - Generate predictive models

    Organizations have begun to notice that by using machine learning, they are able to make new discoveries, as well as identify and solve issues faster, gaining the competitive edge over their competition.

    Join Boaz Farkash, Sisense Head of Product Management and Philip Lima, Mashey’s CEO, as they explore how Machine Learning is unlocking the power of Business Intelligence.

    To be discussed:

    - The Rise of the All-in-One Machines
    - Machine Learning is Revolutionizing Immediate Decision Making
    - The Power of Business Intelligence Bots
    - How Smart Can One Machine Be?
    - What Lies Ahead
  • Data Science in Modern Banking
    Data Science in Modern Banking Charlie Leahy, Head of Software Architecture and Data Science (Hufsy) Recorded: Apr 13 2017 45 mins
    Banks have a vast wealth of mineable data available to them, but traditionally have provided their customers with little feedback beyond a balance and list of transactions.

    In this talk Charles Leahy, Tech Lead at Hufsy, looks at ways in which tools such as visualisation and machine learning can be employed to give users meaningful insights, helping them make the most of their money.

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