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Deliver AI initiatives 10x faster with H2O.ai and Billigence

Why H2O.ai?

H2O.ai is the leading AI Cloud company, on a mission to democratise AI and drive an open AI movement around the world. They focus on drawing insights from structured and unstructured data like video and documents with their award-winning products like Hydrogen Torch and Document AI. Customers use the H2O AI Cloud to rapidly solve complex business problems and accelerate the discovery of new ideas by simplifying and streamlining the process of making state-of-the-art deep learning models. 

Why Billigence?

After seeing H2O.ai in action and using it for ourselves we knew instantly that we needed to become a partner. Our experience with their products brought us unbridled excitement as we achieved results in hours that previously would take months. Our consultants have quickly become H2O.ai experts and are helping our clients to take their AI efforts to the next level. 

We have experience with: 

  • H2O.ai Licensing 
  • H2O.ai Implementation 

H2O.ai Products Explained

H2O.ai’s comprehensive automated machine learning (autoML) capabilities transform how AI is created and consumed. They have built AI to do AI, making it easier and faster to use, while still maintaining expert levels of accuracy, speed and transparency.

Quickly create and test highly accurate and robust models with state-of-the-art automated machine learning that spans the entire data science lifecycle and can process a variety of data types within a single dataset.

Key benefits:

  • Rapid creation and testing of robust models, with automated ML that covers the entire data science lifecycle and accommodates diverse data types. 
  • Automated Machine Learning streamlines everything from transformation to model selection, monitoring and deployment, enhancing the efficiency of AI development. 
  • Time Series Forecasting, NLP and Computer Vision allow for advanced, code-free model building in various domains.

Automatically visualise and address data quality issues with advanced feature engineering that transforms your data into an optimal modelling dataset.

Key benefits:

  • Optimises modelling dataset by transforming data into an ideal format and addressing quality issues through advanced visualisation and feature engineering. 
  • Enhances machine learning model accuracy and generalisation by surfacing statistical properties and data quality issues, supported by automated preprocessing. 
  • Feature Store streamlines feature management ensuring consistent quality in model development with integrated data pipeline, governance and access management. 

Easily understand the ‘why’ behind model predictions to build better models and provide explanations of model output at a global level (across a set of predictions) or at a local level (for an individual prediction).

Key benefits:

  • Enhances understanding of model predictions, providing clarity on the ‘why’ behind outcomes for better model building at both global and local levels. 
  • White Box Models and Interpretability Methods offer competition-winning modelling techniques and a dynamic toolkit for post-hoc explanations and bias detection. 
  • Bias Detection and Third-Party Model Integration ensures fair machine learning practices and allows users to bring their own models and explain ability methods. 

Use H2O MLOps to monitor models in real-time and set custom thresholds to receive alerts on prediction accuracy and data drift and guarantee deployed models are operating as intended.

Key benefits:

  • Accelerates AI outcomes by simplifying the transition from model experimentation to deployment, reducing the time required for projects to reach production. 
  • Enhances operational agility and confidence by automatically monitoring models in real-time, offering custom alerts for prediction accuracy and data drift. 
  • Consistent ML model delivery is achieved through reduced management needs, high-availability deployments and automated scaling. 

The H2O AI Cloud is environment agnostic so any company, regardless of their existing infrastructure, can incorporate H2O.ai technologies into their machine learning pipelines.

Key benefits:

  • Flexible architecture ensures seamless integration with any existing infrastructure, enabling companies to easily adopt H2O.ai into their machine learning pipelines. 
  • The environment-agnostic nature of the H2O AI Cloud allows for versatile deployment options, accommodating a wide range of technological. 
  • This flexibility enhances the adaptability and scalability of machine learning operations, supporting a broad spectrum of AI applications and initiatives.

Rapidly build AI prototypes and applications with a low code framework (Python/R) that makes it easy to deliver innovative solutions by seamlessly integrating backend machine learning capabilities with front end user experiences.

Key benefits:

  • H2O’s Low Code App Development framework allows rapid prototyping and creation of AI applications using Python/R, simplifying the integration of advanced ML. 
  • The platform offers tools for Low Code User Interface Creation, reducing development time for web applications with real-time UI change previews. 
  • Developers gain API access to advanced data science tools, allowing for seamless incorporation of machine learning into applications and real-time updates.

The H2O AI Cloud supports rapid prototyping and solution development, while also fostering collaboration between technical teams and business users. The H2O AI AppStore is the catalyst needed to move you from big ideas to tangible impact with comprehensive machine learning capabilities, a robust explainable AI toolkit, a low code application development framework and integrated machine learning operations.

Key benefits:

  • The AppStore boosts rapid prototyping and solution development, enhancing collaboration between technical and business teams. 
  • It offers Cross-Industry Data Science Apps including AutoInsights, Model Validation for pipeline analysis and Model Monitoring enhancing both efficiency and reliability. It features specialised applications for diverse sectors such as Financial Services, Healthcare and Customer Service, providing tailored solutions.
H2O Platform

Shaping the future with AI Worldwide

H2O.ai is the trusted AI provider to more than 20,000 global organisations, millions of data scientists and over half of the Fortune 500, including AT&T, Commonwealth Bank of Australia, Citi, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever and others. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company. More than 30 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are makers at H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. 

The Benefits of H2O.ai

Democratise & Accelerate AI

Understand the ‘why’ behind model predictions to build better models and provide explanations outputs at a global and local level.

Scalable AI & Governance

Strategically operate AI across organisations and departments with trust, confidence and agility even at a robust, enterprise-wide scale.

Multi-cloud & Flexibility

Simplify and scale AI with one platform that operates across clouds, on-premises environments and data sources.

Two of the BI industries giants, H2O.ai and Snowflake, have come together to bring the manufacturing industry a brand new, game-changing solution. Their joint Intelligence Manufacturing Capabilities offer powerful, real-time analytics and insights, enabling faster decision-making, consistent process metrics and minimised delays in the manufacturing process. This partnership provides advanced machine learning capabilities such as autoML, collaborative model management and no-code deep learning for image, video and text data. Their innovative solution can completely transform the manufacturing process by improving efficiency, reducing costs and enhancing supply chain transparency.

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