H2O Driverless AI Overview

H2O Driverless AI automates key machine learning tasks, enabling faster and more efficient project completion. Data scientists are empowered to focus on higher-level insights.

Use Cases

Customers recommend Workflow Management, Advertisement, Sending & Publishing Communications, as the business use cases that they have been most satisfied with while using H2O Driverless AI.

Other use cases:

  • Onboarding
  • Collaboration
  • Forecasting
  • Social Media Management
  • Create Learning Path
  • Proposal & Quote Management
  • International Marketing
See all use cases See less use cases

Business Priorities

Enhance Customer Relationships and Scale Best Practices are the most popular business priorities that customers and associates have achieved using H2O Driverless AI.

Other priorities:

  • Establish Thought Leadership
  • Enter New Markets Internationally Or Locally
  • Acquire Customers
  • Improve Efficiency
  • Improve Stakeholder Relations
  • Improve Internal Communications
  • Increase Customer Life Time Value
See all business priorities See less business priorities

H2O Driverless AI Use-Cases and Business Priorities: Customer Satisfaction Data

H2O Driverless AI works with different mediums / channels such as Social Media.

H2O Driverless AI's features include Predictive Analytics, Gamification, Leaderboards, etc. and H2O Driverless AI support capabilities include Email Support, Chat Support, Phone Support, etc. also H2O Driverless AI analytics capabilities include Custom Reports, and Analytics.

Reviews

"...We can develop a model in a fraction of the time it would take us using the traditional modelling workflow. ...." Peer review by Patrick M., Head of Data Science, Financial Services

Peer review evidence (same sources as the product rating summary)

"...We can develop a model in a fraction of the time it would take us using the traditional modelling workflow. ...." Peer review by Patrick M., Head of Data Science, Financial Services
"...The primary business we are in is measuring the Return on Ad Spend (ROAS) for advertisers, media companies and CPG marketing and product companies...." Peer review by Vice-President in Information Technology
"...Originally published at H2O.aiExtend the capabilities of the H2O s Driverless AI by Bringing Your Own Recipes to the platformOur vision is to democratize AI for everyone...." Custom Machine Learning Recipes: The ingredients for success

H2O Driverless AI, CARTO Platform, Hevo, Hyland, Skyvia Platform, etc., all belong to a category of solutions that help Business Intelligence. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.

Popular Business Setting

for H2O Driverless AI

Top Industries

  • Management Consulting
  • Telecommunications
  • Information Services

Popular in

  • Small Business
  • Mid Market
  • Large Enterprise

H2O Driverless AI is popular in Management Consulting, Telecommunications, and Information Services and is widely used by Small Business, Mid Market, and Large Enterprise.

H2O Driverless AI Customer wins, Customer success stories, Case studies

What benefits does H2O Driverless AI offer for Workflow Management?

Why is H2O Driverless AI the best choice for Sending & Publishing Communications?

How can H2O Driverless AI optimize your Onboarding Workflow?

What makes H2O Driverless AI ideal for Collaboration?

11 buyers and buying teams have used Cuspera to assess how well H2O Driverless AI solved their Business Intelligence needs. Cuspera uses 1218 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Business Intelligence needs.

 

AT&T - Telecommunications - Very Large

H2O AI Super Agent Added by AT&T to Power Enterprise Agentic AI

Dallas, USA

AT&T has deployed H2O AI Super Agent to enhance its agentic AI initiatives across various workflows, including customer experience, fraud prevention, and field operations. The deployment aims to redu...ce operational complexity and improve efficiency with predictive and generative AI capabilities. H2O AI Super Agent supports enterprise-grade governance and allows for sovereign AI deployments, enabling AT&T to maintain control over its data and models.

Read on →
 

AT&T - Telecommunications - Very Large

H2O AI Super Agent is Added by AT&T to Power Enterprise Agentic AI

Dallas, USA

AT&T has adopted H2O AI Super Agentâ„¢ to enhance its agentic AI strategy, improving customer experience, fraud prevention, and enterprise operations. The deployment supports predictive AI, autonomou...s agents, and enterprise-grade governance, reducing latency and operational costs. H2O AI Super Agent orchestrates complex AI tasks, aiding decision-making and supporting regulated environments. The collaboration also includes co-developing the H2O AI Feature Store for efficient machine learning feature management.

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Securing AI Systems at Scale: How H2O.ai Addresses Core Data Security Risks for Australian Government Agencies

H2O.ai enhances AI data security for Australian government agencies by aligning its products with the CSI AI Data Security framework. H2O Driverless AI, MLOps, and h2oGPTe ensure data integrity, prov...enance, and secure deployment. These tools address risks like data poisoning and exfiltration, providing robust security and governance for AI systems. H2O AI Cloud supports sovereign deployments, crucial for sensitive workloads.

Read on →
 

AT&T - Telecommunications - Very Large

Dallas, USA

AT&T used H2O.ai to cut iPhone fraud by over 80%. The company saved $7M per year by predicting truck battery failures and reducing breakdowns. Route optimization models built with H2O.ai saved more t...han $10M annually in fuel costs. AT&T moved from open source to an AI-as-a-Service platform, speeding up AI project delivery. The H2O AI Feature Store helped teams build faster, more accurate models. AT&T now runs many AI projects across its business units.

Read more →

CBA (Commonwealth Bank of Australia) - Banking - Very Large

H2O.ai helped CBA cut scam losses by 70% using real-time generative AI. The bank trained over 900 analysts and reduced fraud by 30%. CBA used thousands of AI models on billions of data points to impr...ove customer service and safety. AI powered solutions like real-time fraud detection, bills sense, and benefits finder. CBA saw a 76% drop in scam losses from their 2022 peak.

Read more →

AT&T - Telecommunications - Very Large

AT&T used H2O.ai's small language models to transform its call center operations. The company achieved 90% lower costs and 3x faster processing. AT&T improved latency by 75% and increased scalability... by 5x. The solution delivered 91% accuracy, matching previous expensive models. H2O Danube and LLM Studio enabled efficient, AI-powered customer service at scale.

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Frequently Asked Questions (FAQ)

What buyers ask before choosing H2O Driverless AI

What is H2O Driverless AI?

H2O Driverless AI is an Automatic Machine Learning Platform that empowers data scientists to work on projects faster and more efficiently. It provides companies with an extensible customizable data science platform that addresses the needs of a variety of use cases for every enterprise in every industry.

It helps data scientists to extend the driverless AI platform by uploading their models, transformers and scorers as a custom recipe. Models are deployed automatically across several environment choices, provide robust interpretability of machine learning models to explain modeling results, also automatically generates visualizations and creates data plots that are most relevant from a statistical perspective.

Some of its features include treating recipes as first-class citizens in the automatic machine learning workflow, machine learning interpretability, automatically converts text strings into features using powerful techniques like TFIDF, CNN, and GRU, process larger text blocks and build models using all available data and to solve the business problems like sentiment analysis, document classification, and content tagging. Images can be processed alone or as part of larger datasets that include tabular, text, and image data on CPUs or GPUs and more.

What is H2O Driverless AI used for?

H2O Driverless AI is a Business Intelligence Software mainly used by its customers to Enhance Customer Relationships and Scale Best Practices by Workflow Management, Advertisement and Sending & Publishing Communications .

What are the top features of H2O Driverless AI?

Predictive analytics, Gamification and Leaderboards are some of the top features of H2O Driverless AI.

Who uses H2O Driverless AI?

H2O Driverless AI is used by Management Consulting, Telecommunications and Information Services among other industries.

What are H2O Driverless AI alternatives?

CARTO Platform, Hevo, Hyland and Skyvia Platform are popular alternatives for H2O Driverless AI.

Where is H2O Driverless AI located?

H2O Driverless AI is headquartered at 2307 Leghorn St Mountain View, CA 94043.
lightning

Peers used H2O Driverless AI for workflow management and advertisement

H2O Driverless AI Competitors

H2O Driverless AI Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

3.41/5 ★

Read Reviews (396)
Custom Reports

3.69/5 ★

Read Reviews (97)
Analytics

2.88/5 ★

Read Reviews (271)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

3.41/5 ★

Read Reviews (396)
Custom Reports

3.69/5 ★

Read Reviews (97)
Analytics

2.88/5 ★

Read Reviews (271)

Software Failure Risk Guidance

?

for H2O Driverless AI

Overall Risk Meter

Low Medium High

Top Failure Risks for H2O Driverless AI

H2O.ai, Inc News

Product

Changes coming to H2O-3 open source

H2O.ai announces changes to its H2O-3 open-source platform with the upcoming 3.46.0.12 release. Key components like MOJO runtime, Hadoop, Kubernetes deployment, and SparklingWater will be moved to H2O-3 Secure, focusing on enterprise needs and security compliance. The open-source version will maintain core features like AutoML and algorithm libraries, emphasizing community support and security patching.

Read more →
Product

H2O ai Introduces Enterprise-Grade Secure Version of H2O-3 Platform

H2O.ai launched H2O-3 Secure, an enterprise-grade version of its open-source H2O-3 platform, enhancing security and compliance features for production environments. The platform targets sectors requiring stringent security certifications, offering CVE patching and long-term support. This move aims to monetize H2O.ai's open-source base by aligning with government-grade security standards and expanding into regulated industries.

Read more →
Product

H2O.ai Joins NVIDIA-Backed Open Security Alliance

H2O.ai has joined the NVIDIA-backed Open Secure AI Alliance to enhance AI security tools, focusing on open-source principles for AI agent stacks. The alliance aims to improve trust, governance, and control over AI systems by advancing open security technologies.

Read more →
Product

H2O.ai Joins Open Secure AI Alliance to Strengthen AI Software and ...

H2O.ai joins the Open Secure AI Alliance, collaborating with NVIDIA and others to enhance AI software security. This initiative aims to develop open technologies for securing AI agents, emphasizing open models for improved safety and control. H2O.ai's participation underscores its commitment to AI security and governance, aligning with industry leaders to advance secure AI deployments.

Read more →

H2O.ai, Inc Profile

Company Name

H2O.ai, Inc

Company Website

https://h2o.ai/

Year Founded

2011

HQ Location

2307 Leghorn St Mountain View, CA 94043

Employees

11-50

Social

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Financials

SERIES D