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Dataiku

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  • The Path to Enterprise AI: Tales from the Field
    The Path to Enterprise AI: Tales from the Field
    Larry Orimoloye, Sales Engineer, Dataiku Recorded: Feb 12 2019 34 mins
    Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Larry Orimoloye, Sales Engineer at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can supercharge your quest to this AI-fueled future.

    Larry Orimoloye is an applied statistician with strong expertise in driving ROI from all analytics investment. He possesses a solid grasp and understanding of analytics life cycle (end-to-end process). Larry has acted as strategic adviser and domain expert to wide range of clients including Apple, EE(T-Mobile/Orange), Sky, ExxonMobil, FedEx among others.
  • 2019 AI Trends: Filtering the Noise
    2019 AI Trends: Filtering the Noise
    Leo Dreyfus-Schmidt, Dataiku AI Labs Lead Scientist Recorded: Feb 7 2019 33 mins
    Learn about the AI trends in 2019 - what will matter in the year to come, and what won't. Leo Dreyfus-Schmidt, Dataiku AI Labs Lead Scientist, will present his take on technologies to watch as a data scientist.

    This presentation will be ideal for technical and non-technical audiences alike.
  • Enabling CDOs, Data Leaders, & the Data Revolution
    Enabling CDOs, Data Leaders, & the Data Revolution
    Caroline Carruthers & CDO guests (TBA) Recorded: Jan 28 2019 58 mins
    The Chief Data Officer (CDO) role has gone from anomaly to necessity within the last five years. Find out why that is the case and how to overcome the struggles to achieve data maturity.

    Whether a CDO yourself, looking to hire one, or trying to evolve data systems, this webinar will offer critical insights from expert Caroline Carruthers, author of "The Chief Data Officer's Playbook," and guest CDOs (TBA). She will present current challenges (and suggested solutions) in a conversational format with a few of today's up-and-coming CDOs.
  • Enabling AI services through Operationalization & Self-Service Analytics
    Enabling AI services through Operationalization & Self-Service Analytics
    Kurt Muehmel, Dataiku VP Recorded: Dec 13 2018 48 mins
    Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer is: you need both together.

    The fact is, it's the interplay and balance between operationalization (o16n) and self-service analytics (SSA) initiatives that makes a successful data-powered company that executes on all projects to its fullest potential. While at first glance the two appear to be completely different (maybe even contradictory), it’s precisely because they differ in value, scale, and more that they round out a complete data strategy.

    Join the webinar hosted by Dataiku for a look at how to implement a complete strategy for both, pitfalls to avoid along the way, and case studies of large enterprises who have successfully implemented the two.
  • Applied Deep Learning Basics with Dataiku and GoDataDriven
    Applied Deep Learning Basics with Dataiku and GoDataDriven
    Andrey Avtomonov, R&D Engineer at Dataiku & Rodrigo Agundez, Data Scientist at GoDataDriven Recorded: Nov 22 2018 52 mins
    Deep Learning models can be exceedingly powerful and accurate if you are willing to invest the time to train them. However, there’s no need to waste energy on poorly framed problems or building model architecture from the ground up. In this webinar, with GoDataDriven, we’ll reveal the best practices we’ve learned from leveraging Deep Learning in a variety of real-world systems, in addition to showing you how to access Deep Learning quickly, so that you can spend time personalizing your model to provide the best business value for your unique needs.

    Per registering to this webinar, you agree to get one email from GoDataDriven afterwards
  • Compelling Business Use Cases for Big Data
    Compelling Business Use Cases for Big Data
    Romain Fouache, Dataiku | Maciej Dabrowski, Genesys | Ricahrd Corderoy,Oakland Data & Analytics Recorded: Nov 22 2018 38 mins
    The market for big data technologies continues to accelerate as big data becomes an increasingly integral part of business operations worldwide. And, as data analytics tools and solutions have matured, businesses have been able to leverage the insights from their data at a faster pace than ever before.

    Discover the ways in which businesses are applying their big data insights to achieve real-world results.

    You'll Learn:
    - How successful businesses are incorporating big data analytics into their digital strategy and seeing real results
    - How to overcome common challenges and pitfalls when implementing your big data analytics solutions
    - How emerging technologies like machine learning and AI are evolving big data insights
    - and more!

    Panel moderator:
    Bas Geerdink, Technology Lead, Labs Innovation Office, ING
    Panelists:
    Romain Fouache, VP Strategy, Dataiku
    Maciej Dabrowski, Chief Data Scientist, Genesys
    Richard Corderoy, Chief Data Officer, Oakland Data and Analytics
  • [Ep.23] Ask the Expert: The Future of Artificial Intelligence
    [Ep.23] Ask the Expert: The Future of Artificial Intelligence
    Florian Douetteau, CEO of Dataiku and Erin Junio, Content Manager at BrightTALK Recorded: Nov 6 2018 48 mins
    This webinar is part of BrightTALK's Ask the Expert series.
  • Profit from AI and machine learning—The best practices for people and process
    Profit from AI and machine learning—The best practices for people and process
    Florian Douetteau, CEO, Dataiku; Tony Baer, Principal Analyst, Ovum Recorded: Oct 10 2018 62 mins
    For projects employing machine learning or deep learning, the acid test doesn’t come from making that first “win.” Instead, the true test is making successes from embracing AI consistent and repeatable. Like most new technology innovations, for AI, the spotlight has initially been on the technology. Because the AI practice in the enterprise is still in its infancy, there is less knowledge about the “soft” side: understanding how to build the teams of people that make AI happen and creating the processes that can make success repeatable.

    Dataiku and Ovum are collaborating on a jointly sponsored primary research study to address the knowledge gap on “the soft side” of making AI work for the business, conducting a qualitative survey of specially selected leaders and practitioners in the field, including chief data officers, chief officers and directors of data science, and chief officers and directors of analytics. Tony Baer and Florian Douetteau summarize the lessons learned from this research and identify best practices for ingraining AI into the business, based on actual experience in the field.
  • How to Thrive in the Enterprise AI Era | by Forrester & Dataiku
    How to Thrive in the Enterprise AI Era | by Forrester & Dataiku
    Guest Speaker Mike Gualtieri, VP & Principal Analyst @ Forrester & Florian Douetteau, CEO@ Dataiku Recorded: Sep 11 2018 60 mins
    The year 2018 was supposed to be a banner one for artificial intelligence (AI) in the enterprise. But more and more, companies are finding that Enterprise AI is much easier talked about than executed. And there are still a fair number of open questions that need to be answered to move forward and excel in the Enterprise AI era, like:

    - What exactly does it mean to do Enterprise AI anyway (and how is it different from regular AI)?
    - How does Enterprise AI connect to machine learning and deep learning (and what's the difference)?
    - What are the challenges, risks, and benefits to getting started on Enterprise AI now?

    This webinar will answer these pressing questions.

    Presented in a conversational format, Mike Gualtieri, VP & Principal Analyst at Forrester, and Florian Douetteau, CEO at Dataiku, will address these points by way of case studies (i.e., what real companies are doing right now in this space) plus discuss how those who haven't started can dive in.
  • From Automation to Orchestration: How to Become a Large-scale Data Innovator
    From Automation to Orchestration: How to Become a Large-scale Data Innovator
    Jed Dougherty, Lead Data Scientist at Dataiku Recorded: Aug 31 2018 18 mins
    Many teams around the world have already used Dataiku to collaboratively design and prototype data workflows and machine learning models. But what about taking the next step - putting this work into production?
    Jed Dougherty, Lead data scientist for Dataiku's US team, will describe a complex production implementation that he helped a major US firm design and deploy in only 10 days. He'll dive into the technical and business-level details of deploying thousands of models to live endpoints, and perform a quick live demo of what this process looks like inside Dataiku.

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