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The 5 Key AI Takeaways for Today's C-Suite (Presented from the UK)

Due to popular demand, we are presenting this webinar at a UK-friendly time!

This discussion will explore real-world examples and how to democratize AI in your organization.

1. Build a Data science culture
2. Ask the right questions
3. Connect to the community
4. Technology considerations
5. Trust in AI
Recorded Aug 19 2019 51 mins
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Presented by
John Spooner, H2O.ai and John Howe, H2O.ai
Presentation preview: The 5 Key AI Takeaways for Today's C-Suite (Presented from the UK)

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  • Machine Learning for IT Sep 26 2019 6:00 pm UTC 60 mins
    Vinod Iyengar, H2O.ai & Ronak Chokshi, H2O.ai
    As data scientists implement AI in the enterprise, it is crucial that they have the datasets, and the compute and storage resources available to accurately train and test machine learning (ML) models before they deploy these models in production environments. Data science is an iterative process that often requires dynamic allocation of IT resources in order to eventually create accurate ML models. The data science teams require help from their corporate IT in this process to allocate these resources either on-premises, in the cloud or a combination.

    In this webinar, we will walk through the following 3 areas that are important in this process and how H2O.ai makes this process easier for IT:
    - IT resource management for data science and machine learning workloads.
    - Provisioning of resources for machine learning workloads – training and validation phases.
    - Deployment of AI applications – in the cloud, on-premises or at the edge.
  • Présenté en Français: Nouveautés de H2O Driverless AI Sep 24 2019 9:00 am UTC 60 mins
    Badr Chentouf, H2O.ai
    H2O Driverless AI implémente les techniques des experts datascientists dans une plateforme facile d’utilisation. Driverless AI permet aux datascientists d’accélerer leurs projets avec l’Automated Machine Learning . Dans ce webinar, nous verrons les nouveautés de Driverless AI, avec notamment le BYOR, “Bring Your Own Recipe”. BYOR permet aux utilisateurs, partenaires et clients d’étendre la plateforme avec leurs propres “recettes” spécifiques, en Python. Dans ce webinar, nous montrerons comment faire une recette et l’intégrer à Driverless AI
  • Towards Human-Centered Machine Learning Recorded: Sep 17 2019 58 mins
    Sairaam Varadarajan
    Machine learning systems are used today to make life-altering decisions about employment, bail, parole, and lending. Moreover, the scope of decisions delegated to machine learning systems seems likely only to expand in the future. Unfortunately, serious discrimination, privacy, and even accuracy concerns can be raised about these systems. Many researchers and practitioners are tackling disparate impact, inaccuracy, privacy violations, and security vulnerabilities with a number of brilliant, but often siloed, approaches. This presentation illustrates how to combine innovations from several sub-disciplines of machine learning research to train explainable, fair, trustable, and accurate predictive modeling systems. Together these techniques can create a new and truly human-centered type of machine learning suitable for use in business- and life-critical decision support.
  • Learn How to Easily Use AI Against Your Production Database Recorded: Sep 10 2019 50 mins
    Eric Gudgion, H2O.ai
    H2O Driverless AI is an award-winning automatic machine learning platform. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models.

    Once Driverless AI models are created, they often are used in production for scoring against production data and this data usually resides in a Database. How can we deploy a model to score against the database as a batch operation, reading millions to rows and making predictions in a scalable way?

    Join us on Tuesday, September 10th, to learn how to easily use AI against your production database. In this webinar we will learn how to use Driverless AI to use data within the database to create a model and then how to use standalone scorers to make predictions using the model and update the database.

    Eric's bio:
    Eric is a Senior Principal Solutions Architect, he is passionate about performance and scalability. Eric’s role enables him to help customers adopt h2o within their enterprises.
  • What's New in H2O Driverless AI Recorded: Aug 22 2019 59 mins
    Arno Candel, CTO at H2O.ai
    H2O Driverless AI employs the techniques of expert data scientists in an easy to use platform that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. In this webinar we'll highlight what's new in Driverless AI.

    Arno's bio:
    Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.

    Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
  • The 5 Key AI Takeaways for Today's C-Suite (Presented from the UK) Recorded: Aug 19 2019 51 mins
    John Spooner, H2O.ai and John Howe, H2O.ai
    Due to popular demand, we are presenting this webinar at a UK-friendly time!

    This discussion will explore real-world examples and how to democratize AI in your organization.

    1. Build a Data science culture
    2. Ask the right questions
    3. Connect to the community
    4. Technology considerations
    5. Trust in AI
  • How to Make a Recipe with H2O Driverless AI Recorded: Aug 14 2019 60 mins
    Michelle Tanco, H2O.ai
    *** Please be aware that the content presented in this webinar will be technical and "code heavy." ***

    H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.

    We're excited to add the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe. Domain experts and advanced data scientists can now write their own recipes (Python snippets) and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries. In this webinar we'll demonstrate how make a recipe with Driverless AI.

    Michelle's bio:
    Michelle is a Customer Solutions Engineer & Data Scientist for H2O.ai. Prior to H2O she worked as a Senior Data Science Consultant for Teradata, focused on leading analytics projects to solve cross-industry business problems.

    Her background is in pure math and computer science and she is passionate about applying these skills to answer real world questions. When not coding or thinking of analytics, Michelle can be found hanging out with her dog or playing ukulele.
  • The 5 Key AI Takeaways for Today's C-Suite Recorded: Jul 17 2019 56 mins
    Ingrid Burton, H2O.ai & Vinod Iyengar, H2O.ai
    This discussion will explore real-world examples and how to democratize AI in your organization.

    1. Build a Data science culture
    2. Ask the right questions
    3. Connect to the community
    4. Technology considerations
    5. Trust in AI
  • AI and ML in Financial Services (Presented from the UK) Recorded: Jul 10 2019 54 mins
    John Spooner, H2O.ai
    The Financial Services industry is benefitting from numerous organizations that are using machine learning and artificial intelligence to transform their business. In this webinar we will cover customer use cases in the Financial Services industry, including: Fraud detection, Customer propensity to buy new products, and Pricing prediction. Join this webinar to learn how organizations are extracting real business value with AI and Machine learning.
  • Extending the H2O Driverless AI Platform with Your Recipes Recorded: Jun 26 2019 60 mins
    Arno Candel, CTO at H2O.ai
    Driverless AI is H2O.ai's latest flagship product for automatic machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and production deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code (Java and C++), and is specifically designed to avoid common mistakes such as under- or overfitting, data leakage or improper model validation, which are some of the hardest challenges in data science. Other industry-leading capabilities include automatic data visualization and machine learning interpretability.

    We're now excited to add the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe. Now domain experts and advanced data scientists can now write their own recipes and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries. During this webinar we'll demonstrate how easy it is to write a new recipe for feature transformation or use a third party algorithm to extend Driverless AI.

    Arno's bio:
    Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.

    Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
  • Présenté en Français: Traitement du Langage Naturel avec H2O Driverless AI Recorded: Jun 25 2019 64 mins
    Badr Chentouf, H2O.ai
    H2O Driverless AI is H2O.ai's flagship platform for automatic machine learning. It fully automates the data science workflow including some of the most challenging tasks in applied data science such as feature engineering, model tuning, model optimization, and model deployment. Driverless AI turns Kaggle Grandmaster recipes into a full functioning platform that delivers "an expert data scientist in a box" from training to deployment.

    In the latest version of our Driverless AI platform, we have included Natural Language Processing (NLP) recipes for text classification and regression problems. With this new capability, Driverless AI can now address a whole new set of problems in the text space like automatic document classification, sentiment analysis, emotion detection and so on using the textual data. Stay tuned to the webinar to know more.
  • 5 Key Considerations in Picking an AutoML Platform Recorded: Jun 12 2019 62 mins
    Vinod Iyengar, H2O.ai & Bojan Tunguz, H2O.ai
    AutoML platforms and solutions are quickly becoming the dominant way for every enterprise that is looking to implement and scale their ML and AI projects. As Forrester pointed out, these tools are trying to automate the end-to-end life cycle of developing and deploying predictive models — from data prep through feature engineering, model training, validation and deployment.

    This often involves evaluating numerous platforms and identifying the best fit for their organization. The decision process is based on multiple considerations, including accuracy, ease-of-use, performance, integration with existing tools, economics, competitive differentiation, solution maturity, risk tolerance, regulatory compliance considerations and more.

    Tune into this webinar to learn about the top 5 considerations in selecting an AutoML platform. Vinod will be joined by one of H2O.ai's Kaggle Grandmasters, Bojan Tunguz, for the discussion.
  • Présenté en Français: Machine Learning Automatique avec H2O Driverless AI Recorded: Jun 4 2019 58 mins
    Badr Chentouf, H2O.ai
    H2O Driverless AI is H2O.ai's flagship platform for automatic machine learning. It fully automates the data science workflow including some of the most challenging tasks in applied data science such as feature engineering, model tuning, model optimization, and model deployment. Driverless AI turns Kaggle Grandmaster recipes into a full functioning platform that delivers "an expert data scientist in a box" from training to deployment.

    We will be discussing the latest in Driverless AI, as follows:

    Deep Learning Tensorflow Models
    Standalone Java Scoring Pipeline
    Deep Learning for NLP/Text
    LightGBM Models
    Interpretability for Time-Series Capability
    Advanced Feature Ensemble
    Local Feature Brain
    FTRL Models, Model Diagnostics, Model Retraining
  • Deploying Distributed AI and Machine Learning in Financial Services Recorded: May 23 2019 62 mins
    Nanda Vijaydev, Sr. Director, Solutions, BlueData; John Spooner, Director of Solution Engineering, H2O.ai
    Watch this webinar to learn how you can accelerate your deployment of H2O and AI / ML in Financial Services.

    Keeping pace with new technologies for data science, machine learning, and deep learning can be overwhelming. And it can be challenging to deploy and manage these tools – including H2O and many others – for data science teams in large-scale distributed environments.

    This webinar will discuss how to deploy H2O and other ML / DL tools in Financial Services. Learn about:

    -Example use cases for AI / ML / DL in Financial Services
    -Using H2O and other ML / DL tools with containers
    -Overcoming deployment challenges for distributed environments
    -How to ensure enterprise-grade security, high performance, and faster-time-to-value
  • AI Modernizes Credit Scoring Recorded: May 8 2019 63 mins
    Marc Stein, Founder and CEO, Underwrite.ai and Vinod Iyengar, H2O.ai
    Underwrite.ai applies advances in artificial intelligence derived from genomics and particle physics to provide lenders with non-linear, dynamic models of credit risk which radically outperform traditional approaches. In this webinar, Marc Stein, Founder and CEO of Underwrite.ai, provides an overview of the creation of Underwrite.ai and the specific credit lending needs that are being met with H2O Driverless AI.
  • 7 Key Elements of an Enterprise AI Strategy Recorded: Mar 26 2019 48 mins
    Guest speaker Mike Gualtieri, Forrester Research and Ingrid Burton, H2O.ai
    Artificial Intelligence (AI) is influencing every industry and decision makers are being asked: What is your AI Strategy for 2019? Most have begun thinking about how AI can be incorporated into their business strategy but the exponential growth of AI resources and offerings is making it difficult to find the right fit for one's organization. What is needed is a practical approach to AI that filters out the signal-to-noise ratio when deciding on an enterprise AI strategy. In this webinar, guest speaker and Forrester Research Vice President & Principal Analyst, Mike Gualtieri, maps out the seven key elements of an enterprise AI strategy.
  • AI Improves Profitability of Core Financial Services at Paraguay Bank Recorded: Mar 20 2019 60 mins
    Ruben Diaz, Data Scientist at Vision Banco and Rafael Coss, Maker at H2O.ai
    In the financial industry, data can translate to revenue if used correctly, yet financial institutions need to operate with scale, speed, and immense accuracy.

    Data scientists at Visión Banco needed to improve the bank’s credit scoring process, including predicting existing customer behavior and churn, determining credit risk, and offering credit to new customers. Join our webinar to learn how the bank saved time and improved accuracy by building and deploying models using H2O Driverless AI. As a result, the Paraguayan bank has doubled its rate of customer propensity to buy.

    Join our webinar to learn:

    • How to automate machine learning modeling to create more models faster and scale data science efforts
    • How you can use high-performance computing to solve complex data challenges such as real-time targeting of promotions or customer churn predictions
    • How one financial institution now easily determines credit risks and expands offers to customers using H2O Driverless AI
    • How you can optimize business processes across your financial institution, such as evaluating credit scores or credit risk, detecting fraud, or performing analysis for Know Your Customer (KYC)
  • Considerations for Deploying AI and Machine Learning in the Cloud Recorded: Mar 12 2019 62 mins
    Vinod Iyengar, H2O.ai
    As the world is moving towards cloud deployments, enterprises of all sizes are trying to figure out the best ways to optimize their workloads using the available set of resources. This often involves evaluating their portfolio of workloads and applications and identifying the best cloud or non-cloud venue to host each.

    The decision process is based on multiple considerations, including performance, integration issues, economics, competitive differentiation, solution maturity, risk tolerance, regulatory compliance considerations, skills availability, and partner landscape.

    We'll talk about all the above and some practical ideas on how to go about such a journey specifically from an AI and ML perspective. Finally, we'll also look at a few example deployments with H2O, Sparkling Water, and Driverless AI.
  • Get Your Feet Wet with H2O Driverless AI Recorded: Feb 27 2019 53 mins
    Nicholas Png
    H2O Driverless AI is H2O.ai's flagship platform for automatic machine learning. It fully automates the data science workflow including some of the most challenging tasks in applied data science such as feature engineering, model tuning, model optimization, and model deployment. Driverless AI turns Kaggle Grandmaster recipes into a full functioning platform that delivers "an expert data scientist in a box" from training to deployment.

    We will be discussing the latest in Driverless AI, as follows:

    Deep Learning Tensorflow Models
    Standalone Java Scoring Pipeline
    Deep Learning for NLP/Text
    LightGBM Models
    Interpretability for Time-Series Capability
    Advanced Feature Ensemble
    Local Feature Brain
    FTRL Models, Model Diagnostics, Model Retraining


    Nick’s Bio:
    Nicholas Png is a Partnerships Software Engineer at H2O.ai. Prior to working at H2O, he worked as a Quality Assurance Software Engineer, developing software automation testing. Nicholas holds a degree in Mechanical Engineering, and has experience working with customers across multiple industries, identifying common problems, and designing robust, automated solutions.
  • Explaining Explainable AI Recorded: Jan 30 2019 46 mins
    Patrick Hall from H2O.ai and Tom Aliff from Equifax
    In this webinar, we will conduct a panel discussion with Patrick Hall and Tom Aliff around the business requirements of explainable AI and the subsequent value that can benefit any organization.
Fast, Accurate, Interpretable AI
H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 130,000 data scientists and more than 13,000 organizations globally. Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.

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  • Title: The 5 Key AI Takeaways for Today's C-Suite (Presented from the UK)
  • Live at: Aug 19 2019 10:00 am
  • Presented by: John Spooner, H2O.ai and John Howe, H2O.ai
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