Category: Enterprise software & integration (Page 1 of 36)

TileDB, a multimodal database company, and Databricks, a Data and AI company, announced a strategic partnership to eliminate data silos preventing healthcare and life sciences organizations from fully leveraging AI-driven drug discovery and clinical insights.

The partnership addresses the challenge of integrating complex scientific data that TileDB supports, including multiomics, medical imaging, and clinical records with the Databricks Data Intelligence Platform and Databricks’ analytics workflows — enabling the development of AI agents that can analyze all data types without requiring costly data migration or transformation.

TileDB addresses offers a sophisticated, omnimodal data management platform, which takes the notion of multimodality beyond text, video, audio, and images, and adds scientific modalities using multi-dimensional arrays. Scientific modalities are ever-evolving, and the omnimodal philosophy can support whatever is the most relevant and important data today. The TileDB – Databricks partnership establishes a bi-directional bridge between specialized data storage and powerful compute capabilities, underpinned by Databricks’ unified data governance model.

The integration is available now in private preview with select customers, and enables data stored in TileDB’s high-performance array database to run on the Databricks Data Intelligence Platform, and vice versa. Additional features will be rolled out in the second half of this year.

https://www.tiledb.com

Grammarly, an AI assistant for communication and productivity, announced its intent to acquire Superhuman, an AI-native email app that helps users respond faster and save hours every week on their email communications. This acquisition accelerates Grammarly’s evolution into an AI productivity platform for apps and agents, positioning email as a critical communication surface in the company’s vision of an agentic future.

Email is the number-one use case of Grammarly for professionals, with the AI assistant helping to revise over 50 million emails per week across more than 20 email providers, including Gmail, Outlook, Apple Mail, and Superhuman.

Superhuman brings more than productivity gains to the acquisition. Building on its impressive adoption, Superhuman is defining the future of email and evolving into a comprehensive workspace for agents. Now imagine taking that efficiency even further with AI agents that triage your inbox, schedule your meetings, perform deep research over all your content, and write full emails in your own voice and tone. Imagine those agents reasoning, problem-solving, incorporating detailed context about your work, and interacting with other systems and agents. This future platform will enable scenarios where users can work with multiple agents simultaneously.

https://www.grammarly.com/blog/company/grammarly-to-acquire-superhuman ■ https://superhuman.com

Sigma, an analytics platform, today announced two major platform innovations in partnership with Snowflake: an integration with Snowflake Semantic Views (private preview) and support for AI SQL, Snowflake’s feature for querying unstructured data. Together, these advances enable governed semantic exploration and file-based AI-powered analysis directly in Sigma’s spreadsheet-like interface. Structured metrics and raw human context—contracts, images, PDFs, and text—are queryable side-by-side in a single governed system.

Sigma also supports Snowflake AI SQL, a new capability that lets users query unstructured data as if it lived in a table. This news follows Sigma’s recent launch of its File Column Type feature, allowing end users to connect unstructured content with structured data, making complex workflows executable inside Sigma.

Teams can upload files with Sigma, run them through Snowflake’s LLM-based functions, and analyze the structured results alongside traditional datasets—no pipelines and no special tools required. Snowflake’s AI SQL functions analyze the content using LLMs, and Sigma picks up the structured output and renders it live in dashboards or workflows.

Joint customers can start using the semantic layer integration immediately through their existing Snowflake and Sigma environments as well as the full support for Cortex AISQL.

https://www.sigmacomputing.com/resources/announcements/sigma-launches-native-semantic-layer-integration-and-ai-sql-capabilities-on-snowflake-ai-data-cloud