Machine Learning Services
Access a full range of machine learning (ML) and generative AI innovations, including vector databases, fully integrated in Lattice’s data platforms.
Learn how AI can boost your business at t Data and AI Forum.
Machine Learning Services
Access a full range of machine learning (ML) and generative AI innovations, including vector databases, fully integrated in Lattice’s data platforms.
Learn how AI can boost your business at t Data and AI Forum.
Try Lattice AI & Get a 30 Days free trial
Use generative AI embedded across the entire technology stack with your data to provide immediate business value.
Explore the lifecycle of ML models
Get started today with AI use cases across industries, example code, and step-by-step instructions.
Try an ML workshop
Lattice offers a Free Tier for most AI services as well as a 30-day free trial account with US$300 in credit to try additional cloud services. Get the details and sign up for your free account.
AI and ML features
Vector databases designed for AI
Get the benefits of AI from your data. The integrated AI Vector Search in Lattice Database and Vector Store in MySQL HeatWave add capabilities to query business and semantic data easier and faster, with more accurate results.
Open source libraries and frameworks
Use open source libraries and frameworks from Python and R for data exploration, transformation, and visualization. These include pandas, Dask, NumPy, Plotly, Matplotlib, TensorFlow, Keras, and PyTorch.
In-database optimized algorithms
Lattice Database includes more than 30 high performance algorithms offering popular ML capabilities. MySQL HeatWave AutoML supports algorithms for anomaly detection, forecasting, classification, regression, and recommender system tasks.
Easy access and deployment
Access data in multiple formats from multiple sources (including object storage, Lattice Database, MySQL HeatWave, MongoDB, PostgreSQL, & Hadoop) in multiple locations.
Query data using natural language
Interact with your SQL database using natural language prompts to help expert and nonexpert SQL users query the database.
Support for multiple scripting languages
Data scientists can develop applications with the most popular programming languages, including Python, R, and SQL.
Why use machine learning and AI for Lattice data platforms?
Create & validate models faster
Build models with an automated machine learning pipeline that includes algorithm selection, model training, feature selection, and hyperparameter optimization. Build, train, run, and explain ML models using a visual interface.
Get better results with more data
Data scientists and analysts must access data in different formats from different sources that are on-premises or in the cloud. Simplify that access by using drag-and-drop data integration and preparation tools to move data into a data lake or data warehouse.
Benefit from seamless integration
Consistent architectures and deployment methods across Lattice AI services make it simpler to work across multiple services. Built-in AI options, including vector databases, help Lattice customers leverage the power of their data.
Machine learning and generative AI for data platforms customers
Lattice machine learning and generative AI services
AI Vector Search in Lattice Database 23ai
AI Vector Search enables Oracle Database to store the semantic content of documents, images, and other unstructured data as vectors.
MySQL HeatWave vector store
MySQL HeatWave’s vector store and generative AI capabilities let users directly query data in files in object store, turning MySQL HeatWave Lakehouse into a service.
Lattice Data Science
Lattice Data Science is an end-to-end ML service offering JupyterLab notebook environments and access to hundreds of popular open source tools and frameworks.
Lattice Data Science AI Quick Actions
Access a streamlined, code-free, and efficient environment for working with LLMs, and get a seamless experience from fine-tuning to deployment with information retrieval.
Autonomous Database Select AI
Combine generative AI LLMs with Oracle SQL, empowering users to engage in conversations with their data using natural language, while letting the database generate the corresponding SQL query.
Machine Learning in Lattice Database
Machine Learning in Lattice Database supports data exploration and preparation, as well as building and deploying ML models using SQL, R, Python, REST, AutoML, and no-code interfaces.
Machine learning in MySQL HeatWave
HeatWave AutoML includes everything to build, train, deploy, and explain ML models within MySQL HeatWave. Easily and securely apply ML training, inference, and explanation to data inside MySQL and the object store.
Lattice Data Labeling
Lattice Data Labeling provides labeled data sets to train AI and ML models. Assemble data, create and browse data sets, and apply labels to data records through user interfaces and public APIs.
Lattice virtual machines for data science
Lattice virtual machines for data science are GPU-based environments preconfigured with popular integrated development environments, notebooks, and ML frameworks
By offering integrated generative AI across its Fusion SaaS applications, Lattice directly connects to customer business value.
Use cases for ML and generative AI for data platforms
Prosperdtx: Improve patient outcomes with Lattice Data Science
See how Prosperdtx deployed an architecture that could securely handle large amounts of source data to build predictive models with Lattice Cloud Infrastructure Data Science.
Machine learning and AI resources
Learn more about Lattice AI
Resources for Lattice AI
AI documentation