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Disruptive Technologies: A Quarterly Update

Quantum computing. Quantum cryptography. What are they?

Find out why vendors like IBM, Microsoft, Intel, and others are placing a bet on these technologies, and what they mean for enterprise technology.

Join Nemertes' CEO and resident futurist Johna Till Johnson for a quarterly update on these disruptive technologies.
Recorded Dec 19 2018 30 mins
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Presented by
Johna Till Johnson, CEO & Founder, Nemertes Research
Presentation preview: Disruptive Technologies: A Quarterly Update

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  • Optimizing Your Self Service Analytics Journey Jul 23 2019 5:00 pm UTC 60 mins
    Panelists TBA
    Join this live panel of industry experts and learn what steps businesses are taking to streamline their adoption of self service analytics tools and techniques.

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    - How companies are approaching their in-house analytics strategy to ensure their analytics tools are meeting their needs.
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  • Adopting AI for Enterprise Analytics Jul 16 2019 5:00 pm UTC 60 mins
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    - How businesses are applying AI in a variety of analytics use cases across multiple verticals
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    - How you can optimize your approach to machine learning and AI for the enterprise to get the most out of your data.
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    Erin Junio (BrightTALK), Aaron Kalb (Alation), Ashley Howard (Tableau)
    As data visualization technology continues to evolve, it gives businesses the edge they need to dive deeper into their data with analytics, enriching the data discovery process and revealing answers to questions that analysts might not have even known they had. Properly executed visual analytics can help organizations discover patterns and insights that lead to tangible results in today's competitive marketplace.

    Join this live panel and discover the latest tools, techniques and strategies industry experts are using to visually transform their data for compelling business intelligence and analytics use cases.
  • Applied Data Science Recorded: Jun 20 2019 48 mins
    Giovanni Lanzani, Chief Science Officer at GoDataDriven
    Now that the Data Science hype is levelling out, many companies are wondering what went wrong as they could not extract values from their data science efforts.

    In this webinar we will explore what does it take to apply data science and machine learning in the real world.

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  • How Machine Learning Helps Predict Equipment Failure Recorded: Jun 19 2019 22 mins
    Yaroslav Nedashkovskyi, System Architect at SoftElegance
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    We used modern capabilities of Big Data Architecture, based on Apache Spark set of technologies, machine learning, archived data, and streaming data from wells to build a unified math model to predict failure of that kind of industrial equipment.

    Join this webinar to learn:
    -- How machine learning can help to predict failure of industrial equipment

    -- Architecture to handle near real-time data-flow from oil wells
  • Data Science in Modern Banking Recorded: Jun 18 2019 44 mins
    Charlie Leahy, Head of Software Architecture and Data Science (Hufsy)
    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.
  • Tensorflow: Architecture and Use Case Recorded: Jun 13 2019 48 mins
    Gema Parreño Piqueras. AI product developer
    The webinar drives into the introduction of the architecture of Tensorflow and the designing of use case.

    You will learn:
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    -What is Tensorflow? What are its advantages? What's it used for?
    -Designing graphs in Tensorflow
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    Erin Junio (BrightTALK), Aaron Kalb (Alation), Ashley Howard (Tableau)
    As data visualization technology continues to evolve, it gives businesses the edge they need to dive deeper into their data with analytics, enriching the data discovery process and revealing answers to questions that analysts might not have even known they had. Properly executed visual analytics can help organizations discover patterns and insights that lead to tangible results in today's competitive marketplace.

    Join this live panel and discover the latest tools, techniques and strategies industry experts are using to visually transform their data for compelling business intelligence and analytics use cases.
  • 5 Key Ingredients for Self-Service Success Recorded: Jun 11 2019 62 mins
    Carl Allchin & Andy Kriebel, Asst. Head Coach & Head Coach (The Information Lab Data School); Eva Murray, Head of BI (Exasol)
    Carl Allchin (The Information Lab Data School) shares practical advices and real-life scenarios for developing a successful and sustainable self-service analytics environment.

    Carl has several years of experience as an analytics and BI consultant, coach and trainer. He focuses on operational improvement and customer experience measurement, two key components for any self-service strategy.

    Join us for this webinar and takeaway a number of tips, ideas and the pitfalls to avoid when setting up self-service BI in your organization.
  • How Today's AI Allows Us To Prepare & Understand Our Data Better Recorded: Jun 11 2019 61 mins
    Maurice Flynn, Director of Research, The FF Foundation
    Most business executives involved in this area spend most of their time involved in this part of the process despite wanting to get onto the results stage. But in fact most experts agree this is probably the most important part to get right. Fortunately new tools and techniques are making this easier than ever. However awareness is still low and confusion is high. In this session we aim to clarify and show the way forward.
  • The Ways Machine Learning and AI Can Fail Recorded: Jun 10 2019 47 mins
    Brian Lange, Partner and Data Scientist, Datascope
    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.
  • Analyse, Visualize, Share Social Network Interactions w Apache Spark & Zeppelin Recorded: Jun 6 2019 48 mins
    Eric Charles, Founder at Datalayer
    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
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    Akmal Chaudhri, Technology Evangelist, GridGain Systems
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    Susanne Chishti, FINTECH Circle | Luca Romagnoli, Salesforce | Sune Gabelgård, Nets| Philip Pointner, Jumio| Paul Hamilton
    Data is the new oil. How can financial services organisations use data to revolutionise their offerings and provide a better customer experience?

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    Susanne Chishti, Founder of FINTECH Circle
    Luca Romagnoli, Director of Regulated Industries at Salesforce
    Sune Gabelgård, Head of Digital Fraud, Intelligence & Research, Nets
    Philip Pointner, Chief Product Officer, Jumio
    Paul Hamilton, Innovation and FS Expert, PA Consulting
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    This talk tells the story of implementation and optimization of a sparse logistic regression algorithm in spark. I would like to share the lessons I learned and the steps I had to take to improve the speed of execution and convergence of my initial naive implementation. The message isn’t to convince the audience that logistic regression is great and my implementation is awesome, rather it will give details about how it works under the hood, and general tips for implementing an iterative parallel machine learning algorithm in spark.

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    Panel moderator:
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    Panelists:
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    Richard Corderoy, Chief Data Officer, Oakland Data and Analytics
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    Register for our webinar and get the inside track on how to leverage cloud data lakes.


    Speaker Bio-
    Gary Richardson, MD, Emerging Technology

    Gary is the Managing Director for Emerging Technology at 6point6. With over 17 years’ of consulting experience, Gary leads a team of data scientists and data engineers in the agile development of Blockchain, AI and Machine Learning solutions. The focus of the team is bringing a collaborative approach to analytics, underpinned by machine learning and data engineering. He believes mainstream business adoption of AI solutions are the key to accelerating innovation enabling businesses to compete, reduce cost and ensure compliance.

    Prior to joining 6point6, Gary was the Head of Data Engineering at a Big 4 consulting firm, focussing on blockchain and bringing sound data engineering to the world of AI.
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    Erin Junio, BI & Analytics Content Strategist, BrightTALK
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    Join Erin Junio, BI & Analytics Content Strategist at BrightTALK for a session to learn more about:

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  • Live at: Dec 19 2018 4:00 pm
  • Presented by: Johna Till Johnson, CEO & Founder, Nemertes Research
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