Transforming Government Operations with AI
Organizations in the public sector are actively implementing artificial intelligence to make better decisions more efficiently by leveraging their enormous stores of data. However, implementations are complicated by the need to balance accuracy, speed, and scale with responsible, ethical AI mandates.
H2O.ai’s leadership and expertise in AI automated machine learning, explainable AI and flexible architecture helps organizations around the world effectively meet these requirements while quickly delivering high value solutions to decision makers.
How the H2O AI Cloud Helps
The H2O AI Cloud enables intelligent automation, acceleration and transparency through every step of the data science lifecycle. It also provides a completely scalable and extensible platform that adapts to meet the complexity of public sector use cases.
AI Use Cases
Agencies are turning to responsible and ethical AI to leverage their huge data stores for more informed and more timely decision making.
Learn more about responsible AI in government.
Fraud, Waste, & Abuse
Supply Chain & Logistics
Innovate with AI Applications
Get real-time information from sensor data to understand which parts are likely to fail, when, and why. Minimize maintenance costs of equipment using intelligent and automated processes.
Leverage new mathematical techniques and current real-time information to create an accurate near-future forecast of demand, based on current realities of the supply chain.
Explainable Anomaly Detection
Identify which data points are highly unusual and what about them is different from the rest of the data; this can be helpful for creating new rules to find fraudulent activities.
The H2O.ai Difference
H2O.ai has grown alongside financial services firms, who are not only our biggest customers but also our biggest investors, and it is evident in the platform today. Our host of capabilities are designed to allow companies to build fast, while improving transparency and trust.
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.
Natural Language Processing:
Extract insights from unstructured text data to discover trends, create more accurate and relevant information retrieval and create personalized recommendations, with a wide range of supported algorithms from simplistic TF-IDF based ones to state-of-the-art BERT based transformers.
Time Series Forecasting:
Easily fit and solve forecasting problems with unique feature engineering and autoML capabilities specifically designed to handle time series data. See how predictions are generated, and easily build forecasts across many categories such as individual skus, product hierarchy and more.
Use image data for modeling, with the ability to combine additional data types with your image data including text, tabular and audio data, with out-of-the-box access to all of the recent CNN-architectures and GPU accelerated training.
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).
AI App Store:
Rapidly develop prototypes and solutions, while also fostering collaboration between technical teams and end users. The 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.
Transforming Government Operations with AI
AI is an essential component of IT modernization. It enables agencies to make sense of their data, which leads to more informed decisions about how to achieve the goals of modernization like improving processes, operations and the customer experience. Machine learning models can be built to increase efficiencies, such as cost controls and predictive maintenance. Agencies can improve responsiveness to constituents, enhance situational awareness for warfighters and mitigate cybersecurity risks with AI.