AI and Humans Combating Extinction Together with Dr. Tanya Berger-Wolf
March 1, 2023 H2O WorldDr. Tanya Berger-Wolf, Co-Founder and Director of AI for conservation nonprofit Wild Me, takes the stage at H2O World Sydney 2022 to discuss AI solutions for wildlife conservation, connecting data, people, and machines. AI can turn a massive collection of images into high-resolution information databases about wildlife, enabling scientific inquiry, conservation, and policy decisions. AI […]
Improving Search Query Accuracy: A Beginner’s Guide to Text Regression with H2O Hydrogen Torch
February 28, 2023 H2O Hydrogen Torch Machine LearningAlthough search engines are vital to our daily lives, they need help understanding complex user queries. Search engines rely on natural language processing (NLP) to understand the intent behind a user’s query and return relevant results. By formulating a well-formed question, users can provide more precise and specific information about what they are looking for, […]
What it means—and takes—to be at AI’s edge with Dr. Tim Fountaine
February 23, 2023 H2O WorldDr. Tim Fountaine, Senior Partner at McKinsey & Company joins us at H2O World Sydney 2022 to discuss why business leaders should care about AI, what mindset to adopt, and what actions to take to effectively bring AI into your organization. Dr. Fountaine discusses real-world examples and insights from McKinsey’s collaboration with the Stanford Institute […]
10 Consejos para Convertirte en un Científico de Datos Exitoso
January 19, 2023 AutoML Beginners Data ScienceLa ciencia de datos llegó para quedarse. Los científicos de datos utilizan sus habilidades para ayudar a las empresas a tomar mejores decisiones sobre sus productos, servicios, a optimizar procesos, ahorrar y mejorar rentabilidad. Convertirse en un científico de datos de éxito implica muchos aspectos y el estudio continuo, ya que es un área en […]
Explaining models built in H2O-3 — Part 1
December 22, 2022 Explainable AI H2O-3Machine Learning explainability refers to understanding and interpreting the decisions and predictions made by a machine learning model. Explainability is crucial for ensuring the trustworthiness and transparency of machine learning models, particularly in high-stakes situations where the consequences of incorrect predictions can be significant. Today, several techniques are available to improve the explainability of a […]
H2O.ai at NeurIPS 2022
December 6, 2022 AI for Good Data Science Machine LearningH2O.ai is proud to participate in the 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, one of the biggest and most prestigious international conferences in artificial intelligence. NeurIPS 2022 will be a Hybrid Conference from Monday, November 28th through Friday, December 9th, with an in-person event at the New Orleans Convention Center during the […]
A Brief Overview of AI Governance for Responsible Machine Learning Systems
November 30, 2022 AI Governance Machine Learning Responsible AIOur paper “A Brief Overview of AI Governance for Responsible Machine Learning Systems” was recently accepted to the Trustworthy and Socially Responsible Machine Learning (TSRML) workshop at NeurIPS 2022 (New Orleans). In this paper, we discuss the framework and value of AI Governance for organizations of all sizes, across all industries and domains. Our paper […]
H2O World Dallas Customer Talks
November 24, 2022 H2O WorldAfter three long years of not having an #H2OWorld, we finally held our first one in Sydney to a sold-out crowd! We then followed it up with H2O World Dallas in the same week! It was a fantastic and jam-packed event with customers, partners, colleagues, and community members sharing how they leverage H2O.ai to accelerate […]