Databricks Data and AI Summit 2024: The biggest innovations
In what ways does Databricks AI/BI enhance enterprise access to analytics and insights?
Databricks AI/BI enhances enterprise access to analytics and insights by democratizing data and making it more accessible to users across the organization. It features a pair of complementary experiences: Dashboards and Genie1. Dashboards is an AI-powered, low-code interface for creating and distributing fast, interactive dashboards1. Genie, on the other hand, is a conversational interface that addresses ad-hoc and follow-up questions through natural language. Both Dashboards and Genie are powered by a compound AI system that continuously learns from usage across an organization's entire data stack, including ETL pipelines, lineage, and other queries. This allows AI/BI to answer complex questions accurately and automatically, without the requirement for upfront setup or modeling associated with conventional tools. AI/BI's intelligence is enabled by the Databricks Data Intelligence Platform, which is natively integrated to provide unified governance, lineage, secure sharing, and lightning-fast performance for all data sizes. This solution significantly expands the types of analytics everyday users can perform through an AI-first approach, marking a step towards true self-service BI.
What are the specific capabilities of the new text-to-image generative AI model, Shutterstock ImageAI, launched by Databricks?
Shutterstock ImageAI, Powered by Databricks, is a text-to-image Generative AI model optimized for enterprise use. Here are its specific capabilities:
-
Customized, high-fidelity, trusted images: Built using the advanced capabilities of Databricks Mosaic AI and trained exclusively on Shutterstock's world-class image repository, ImageAI generates customized, high-fidelity, trusted images that are tailored to specific business needs13.
-
Quick and confident image creation: ImageAI enables companies to use AI to quickly and confidently create new high-resolution, photorealistic images that are commercially viable because the model was trained entirely on Shutterstock's trusted collection of curated images3.
-
Enterprise standards compliance: The model was trained on data that meets enterprise standards like Shutterstock's data. It also offers secure integration with enterprise applications via the Databricks platform.
-
Adaptability to unique business requirements: Within seconds, organizations can generate a net new high-quality image for their unique requirements. In the future, organizations can fine-tune the model with their corporate brand identity using Databricks Mosaic AI Model Training to generate images unique to their company's look and feel.
-
Trusted outputs: Organizations can generate images that meet their requirements with the confidence that the model was trained completely on Shutterstock's proprietary and vetted image repository. Shutterstock customers also have the option to receive indemnification on outputs for added protection.
The model was pre-trained from scratch in just weeks using Databricks Mosaic AI Model Training. It is now available in private preview on Databricks Mosaic AI Model Serving and live on Shutterstock.com/ai-image-generator.
What are the key features and upgrades introduced in the new Mosaic AI tools for building AI applications announced at Databricks' annual summit?
The key features and upgrades introduced in the new Mosaic AI tools for building AI applications announced at Databricks' annual summit include:
-
Mosaic AI Model Training product: This new product is designed to help teams build trusted, production-grade compound AI systems.
-
AI Agent framework: This framework enables the creation of AI agents that can perform specific tasks, such as planning, SQL generation, explanation, visualization, and result certification.
-
Evaluation framework: The evaluation framework allows teams to assess the performance of their AI models and ensure they are delivering accurate and reliable results.
-
AI Tools Catalog: The AI Tools Catalog provides a centralized location for storing and managing AI models, making it easier for teams to collaborate and share resources.
-
AI Gateway: The AI Gateway helps ensure governance and trust in AI systems by providing a central point of control for managing access to AI models and data.
These upgrades to Mosaic AI aim to make it easier for teams to build and manage AI applications, while also ensuring the accuracy, reliability, and trustworthiness of the results they produce.