Search: “databricks”

Databricks discusses how artificial intelligence can help telecommunications CFOs optimize capital expenditure decisions for network infrastructure by enabling data-driven analysis and predictive mode

Lakebase, a Databricks solution, enables organizations to create integrated marketing campaigns by leveraging data lakehouse capabilities to unify customer data and reduce marketing costs. The platfor

Unity AI Gateway Guardrails is a Databricks feature designed to protect AI workloads by implementing safety measures and policy controls within the Unity Catalog framework. The tool enables organizati

Databricks introduced AI spend controls as part of its Unity AI Gateway, enabling organizations to monitor, manage, and optimize costs associated with AI model usage and API calls. The feature likely

Unity Catalog is a Databricks governance solution that helps secure AI agent actions by managing access controls and permissions across agent operations. It prevents unauthorized or 'rogue' AI behavio

This Databricks blog post likely discusses how modern data platforms and analytics tools should enable organizations to quickly extract insights and answer business questions from their commercial dat

Databricks has released general availability for attribute-based access control (ABAC) features in Unity Catalog, including row filtering and column masking policies that dynamically restrict data acc

Databricks announced the general availability of Catalog Commits, a feature that integrates open table formats with open catalog systems to enable versioning and tracking of catalog-level changes. Thi

Databricks explores how lakehouse architecture enables sports organizations to process and analyze player tracking data at scale, converting raw motion capture and sensor information into actionable c

This Databricks resource examines retail markdown optimization strategies, contrasting reactive markdown approaches (responding to inventory issues after they occur) with proactive markdown strategies

This article describes a project using Databricks technology to convert unstructured archival documents into a searchable database to facilitate groundwater research and discovery. The work likely dem

The MCP Marketplace enables agentic applications to access real-time intelligence and data through a centralized platform of Model Context Protocol integrations. Databricks has launched this marketpla

Databricks' Genie is an AI-powered data agent designed to enable natural language interactions with data, allowing users to query, analyze, and generate insights without requiring SQL or coding expert

MemAlign is a technique used within Databricks' Genie code environment to enhance the evaluation and benchmarking of traditional machine learning models by optimizing memory alignment. This approach l

This Databricks article examines how distributed systems architectures need to be redesigned for serverless computing environments, addressing the unique performance and reliability challenges that ar

This Databricks blog post likely discusses how predictive analytics and machine learning can improve insurance payouts and risk assessment in volatile market conditions. The article probably covers te

This Databricks blog post discusses how organizations can achieve AI scalability through unified infrastructure and organizational alignment, emphasizing the importance of consolidating teams, platfor

This Databricks article discusses the gap between the readiness of AI agent technology and the organizational and technical architectures needed to deploy them effectively. It likely addresses infrast

This Databricks blog post introduces sketch functions that enable approximate query results with quantifiable accuracy bounds, allowing organizations to make exact decisions based on approximate analy

Companies that have achieved success with AI implementations prioritized building a robust data foundation and infrastructure before deploying AI models. Databricks emphasizes that a well-constructed

This Databricks blog post discusses modern approaches to SQL-based Extract, Transform, Load (ETL) processes designed for contemporary data platforms, likely covering how SQL ETL tools and practices ar

This Databricks blog post discusses how natural language processing can accelerate clinical data pipeline development, reducing implementation time from months to minutes. It covers techniques for ext

Databricks discusses how leading technology companies are using Lakebase to eliminate 'builder's tax'—the overhead and complexity costs associated with building and maintaining data infrastructure. Th

LangGuard's agentic workflow governance engine represents one of the first production deployments of Lakebase, Databricks' platform for managing AI agents. The deployment demonstrates how organization

This Databricks article examines whether Large Language Model agents can effectively optimize SQL join order, a critical query optimization problem in database systems. The analysis likely evaluates L

This Databricks blog post explains how to use Genie and Agent Bricks to streamline and automate document activation workflows. It likely covers how these tools can help organizations process, manage,

This guide from Databricks covers practical techniques and best practices for fine-tuning large language models, including methodologies for adapting pre-trained LLMs to specific tasks and domains. It

Databricks' Unity AI Gateway provides governance and control mechanisms for managing the proliferation of coding agents across enterprises, addressing challenges of oversight, security, and standardiz

AI agents struggle to effectively process and extract information from complex enterprise documents due to limitations in context windows, reasoning capabilities, and handling of unstructured data for

Databricks' AI Gateway provides a centralized governance and control layer designed to manage agentic AI systems, enabling organizations to enforce policies, monitor usage, and maintain oversight acro

**Managing AI Coding Costs at Scale** This article addresses the economic challenges of deploying AI coding tools across large teams or organizations. It explores strategies for tracking resource usag

pgvector is an open-source PostgreSQL extension that enables efficient storage and similarity search of vector embeddings within a relational database. It allows developers to build vector search capa

This article examines the infrastructure approaches and strategies that leading AI companies use to support their AI development and deployment at scale. It likely covers key components such as data p

Decision Execution Platforms represent an evolution beyond traditional dashboards by enabling organizations to not only visualize data insights but also automatically trigger and execute business deci

Serverless PostgreSQL is a managed database service that abstracts away infrastructure management, allowing users to run PostgreSQL databases without provisioning or managing servers. This approach en

Vector search is a retrieval method that converts unstructured data (text, images, audio) into numerical vector representations and finds similar items by comparing vectors in high-dimensional space,

This article explores the applications and impact of artificial intelligence on national security and defense operations, examining how AI technologies are transforming military capabilities, threat d

This guide provides best practices and architectural principles for designing effective data warehouses, covering topics such as schema design, performance optimization, and scalability considerations

This article argues that AI projects fail to scale when organizations treat them as one-off innovations rather than integrating them into standard business operations and processes. According to Datab

This article discusses how organizations can leverage observability data—including metrics, logs, and traces—to proactively identify and prevent incidents before they impact systems and users. It like

This guide provides Chief Financial Officers with strategies for financial management and performance optimization in value-based care models, which shift healthcare reimbursement from volume-based to

AI agents are automating traditional manual processes in electric grid operations, improving efficiency and response times for grid management tasks. These autonomous systems leverage machine learning

Clinical operations intelligence in healthcare can be effectively managed and analyzed using a lakehouse architecture, which combines the benefits of data lakes and data warehouses. This approach enab

Data quality is a foundational component of effective AI strategy, as high-quality training and operational data directly impacts model performance, reliability, and business outcomes. The article lik

Claroty developed an AI-powered library that serves as a translation tool for industrial control system (CPS) protocols and communications, helping security teams understand and analyze diverse indust

This article explores how healthcare organizations can uncover insights about operating room efficiency and utilization rates by analyzing scheduling data, likely demonstrating techniques for identify