With LLMs bringing new prospects for innovation, Databricks launches its open, general-purpose model, DBRX.
Databricks
Databricks’ AI Security Framework illuminates the path to secure and compliant AI adoption, addressing critical security risks across various stages of AI systems.
AI Ecosystem Report Ep 34: NVIDIA and Hippocratic AI partner to develop AI healthcare agents; BigID secures funds for its AI-powered data security offerings; and Elon Musk launches Grok, a real-time chatbot for the X platform.
AI Ecosystem Ep 33: Fluent provides AI data analytics; Databricks acquires Lilac for improved data pipelines; and Cohere partners with Accenture for enterprise AI adoption.
Discover how the Acceleration Economy AI Ecosystem Top 12 companies are leading the charge in AI innovation.
The top 5 generative AI products to watch feature platforms to build GenAI and machine learning apps, produce content, govern AI, and accelerate automation initiatives.
New tools make it easier to create Retrieval Augmented Generation (RAG) apps which are notoriously difficult to develop because they require collecting data from diverse sources.
Databricks recently acquired MosaicML for $1.3 billion, and the combined firms are poised to develop robust machine learning and generative AI capabilities for enterprises.
AI Index Report episode 3: IBM releases watsonx.ai platform for enterprises; Databricks acquires MosaicML for $1.3 billion; and Amazon announces Amazon CodeWhisperer copilot.
Databricks names Dataiku and Qlik 2023 Global Partner Award winners, demonstrating the importance of the partners ecosystem in helping companies develop new products and services.
Databricks hosted Microsoft CEO Satya Nadella at its customer event, and the two companies explained how they’re working on trustworthy AI and serving joint customers.
Databricks announces Lakehouse Apps, enabling developers to build and distribute native applications on its Marketplace, providing easy integrations, extended services, and flexibility for developers.
Review top takeaways from the 2023 State of Data and AI report recently released by Databricks.
Databricks Ventures made a strategic investment in Catalyst, its first foray into customer success and growth technology.
Rob Wood explains why cybersecurity ML models need clean and ample data, proper input ranges, and robust data platforms, such as the security data lake.
With its acquisition of data and policy governance leader Okera, Databricks validates its focus on leveraging AI tech for data management and governance.
Databricks recently launched the preview mode of its Databricks Marketplace, where consumers and providers can find, share, and utilize data and ML models.
Through the effective use of social determinants of health (SDOH) data, the healthcare industry can work toward improved health outcomes and greater health equity.
Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
Databricks has rolled out its own AI model intended as a simpler alternative to ChatGPT, with an aim to help customers build chatbots.