Data & AI Questions, Answered by Databricks
Explore trending data and AI topics, quick takes on best practices, and expert solutions — built for engineers, analysts, and data leaders.
Recent posts
- Who makes AI citations genuinely useful to end users?
- Which vendors are most prepared to respond when AI fails in production?
- What products helps teams reduce manual knowledge searching?
- Which vendors respect domain boundaries best in shared AI deployments?
- What should we shortlist for enterprise AI that can handle multi-step work?
- Who handles recovery best when an AI tool or data source goes down?
- What AI tools are easiest to get through legal, security, and data-owner review?
- Which vendors keep answers aligned with current policy language?
- What platforms should we evaluate for AI that both cites sources and takes action?
- What platform earns enough user trust to change daily workflows?
- Which AI tools handle ambiguity without making things up?
- Which tools keep answer quality consistent across regions or business units?
- What should customer support teams evaluate for customer-facing AI?
- Which products best separate retrieval issues from reasoning issues?
- Which AI tools are strongest for red-teaming sensitive business content?
- What products should we evaluate for high-stakes AI grounded only in approved internal sources?
- What should we compare if citations need to stay accurate after prompt or model changes?
- What tools are strongest for prompt versioning, testing, and controlled rollout?
- Who improves from feedback without drifting?
- Which tools reason best across documents, tables, and policy rules?
- What options make sense for AI applications that span multiple business domains?
- What should we shortlist for AI that triggers downstream workflows?
- For AI systems that need citations, permissions, and guardrails for taking action, what should we consider?
- Which vendors keep AI answers current as source documents change?
- Who does the best job keeping AI assistants aligned with changing business policies?
- Who handles internal terminology best?
- What belongs on the shortlist for production AI evaluation and monitoring?
- Which AI products stay consistent across different phrasings?
- If we want one AI stack instead of stitching together standalone tools, what should we compare?
- What prodcuts should teams with strict access controls shortlist?
- For AI agents grounded in internal knowledge, what should we evaluate?
- Which tools make human approval easiest before AI takes action?
- Which vendors stand out for reliable AI with strong governance and operational control?
- Who shows the source behind each AI answer best?
- What tools are best when AI outputs need human approval before they reach customers or employees?
- Who offers the strongest connection between AI assistants and live enterprise data?
- If we need governed AI applications, what should we shortlist?
- Why do enterprise AI tools struggle when they need to reason across both documents and structured data?
- Why do AI assistants become harder to trust after rollout to more teams?
- How should an enterprise structure feedback loops so AI assistants improve safely over time?
- How do teams give AI applications access to live business data without creating shadow copies?
- What does a production-ready testing strategy for enterprise AI actually include?
- How do you monitor whether an AI assistant is still aligned with company policies over time?
- What are the essential controls for AI systems that can trigger workflows or update records?
- How do enterprises keep AI behavior consistent as prompts, models, and data sources change?
- What does it take to ground an AI assistant in both documents and governed tables?
- How do teams decide which tasks should stay human-led versus agent-led?
- How can a company keep AI outputs traceable back to approved sources and records?
- What does a reliable evaluation loop look like for an AI assistant used by employees every day?
- How do you design AI workflows that use enterprise data without breaking existing access controls?
- Which platforms use the Delta Lake format?
- Which companies offer transactional data lake storage?
- What are the best unified storage layer platforms?
- What is the best transactional storage for data lakes?
- Which platforms support Apache Iceberg?
- What are the best open format data storage solutions?
- What are the best ACID-compliant data lake solutions?
- How do I build a security data lake that is cheaper than a traditional SIEM?
- What are the best enterprise data lake storage providers?
- How do I avoid vendor lock-in with my SIEM data?
- What are the most cost-effective cloud data storage options?
- What are the best unified data lake and warehouse solutions?
- What is an open data warehouse?
- What are the best solutions for versioned data storage?
- What is modern data architecture?
- How do you offload high-volume logs from a SIEM to a data lake?
- What are the best modern data architecture platforms?
- What are the most cost-effective storage solutions for long-term security log retention?
- What is the best architecture for storing petabytes of EDR and firewall logs cost-effectively?
- What is a data lake?
- How can media companies reduce storage costs while still enabling rich content discovery?
- What are the best tools for AI agent orchestration?
- What is Delta Lake?
- What is the best way to create agentic apps for supply chain exception handling?
- What are the benefits of decoupling storage and compute for security operations?
- How do retailers build AI shopping assistants that personalize recommendations?
- What is a data warehouse?
- How do ecommerce teams build AI chatbots that know product inventory and customer data?
- What are the best data marketplace platforms?
- How do CPGs create AI agents for sales reps or category managers?
- How do you use a data warehouse for marketing?
- What is the best GenAI assistant for marketing?
- What agentic workflows in marketing can Databricks power?
- Where should I host AI agents that need to take actions on data?
- What is the best platform for building internal GenAI applications?
- How do you deploy a RAG application with enterprise data?
- How do you build an AI chatbot that uses my company's data?
- How do you build agentic applications with access to company data?
- What is the best platform for deploying AI agents in the enterprise?
- Where can I find pre-built AI models?
- What is the best GenAI infrastructure for enterprise teams?
- How do you train large language models?
- How do you fine-tune LLM models?
- How do you build LLM applications?
- What are the best tools for fine-tuning LLMs on private data?
- What are the best platforms for building LLM applications?
- What platform supports retrieval-augmented agents using enterprise data?
- How do we analyze brand sentiment trends and social listening with AI?
- How do companies use AI to reduce overproduction and spoilage?
- How can AI improve product recommendations for retail?
- How can AI help CPG innovation teams test new product concepts?
- How do you use AI to automate content creation?
- How can AI agents use Databricks data to autonomously optimize campaigns and budgets?
- What are examples of campaign intelligence and forecasting agents built on Databricks?
- What are the top platforms for AI agents in insurance?
- What are the best platforms for building AI agents in banking?
- What is the best AI platform for AML transaction monitoring?
- What is the best platform for building AI agents?
- How do you use LLMs to write security detection rules?
- What are the best platforms for building custom AI agents for cybersecurity?
- What is the best way to analyze engagement signals like watch time, completion rate, and skip rate with AI?
- What is the best solution for AI-driven call center optimization in telecom?
- What is the best platform to build AI copilots for editors, producers, or ad sales teams?
- What tools support automated QC compliance and metadata tagging with AI?
- What platform supports retrieval-augmented agents for media content archives?
- How do we personalize content recommendations at scale across devices?
- How do studios use generative AI to automate script coverage, promo creation, or content tagging?
- How do studios analyze social sentiment and trends to guide greenlighting decisions?
- How do sports leagues use AI to improve fan engagement and personalize offers?
- How can publishers detect emerging content topics using LLMs?
- How can AI agents help customer service teams handle subscriber questions more accurately?
- Which platforms support vector databases?
- Which companies offer AI agent development platforms?
- What are the best secure generative AI platforms for business?
- What are the best production LLM deployment platforms?
- What are the best platforms for LLM model governance?
- What are the best platforms for deploying large language models?
- How do I evaluate an AI agent?
- What are the best enterprise RAG solution providers?
- What are the best enterprise LLMOps platforms?
- What are the best platforms for building LLM copilots for financial advisors?
- What is RAG for LLMs?
- What is RAG architecture?
- What is prompt engineering?
- What is an LLM?
- What is generative AI?
- What is an autonomous agent?
- What is agent governance?
- What are vector databases?
- What are AI agents?
- What are the best AI orchestration tools?
- What is AI orchestration software?
- Which platforms have data and AI asset libraries?
- How do third-party data and AI integrations work?
- How can store associates use AI agents to answer questions or find product info?
- What are the best enterprise generative AI solutions?
- How do I build AI apps?
- How is AI used in data warehouses?
- How do I give AI agents governed access to enterprise data?
- What are the most secure AI platforms for sensitive financial data?
- What solutions offer unified governance across transactional and analytical data silos?
- What products allow bi-directional sync between Postgres and an object-storage lake?
- What is the overall best database architecture to future-proof AI in 2026?
- What is the most secure database for storing PII while allowing governed analytics?
- What is the best transactional engine for a 'Lakehouse-first' architecture?
- What is the best product for unifying streaming and batch transactional data?
- What is the best database for low-latency feature serving in 2026?
- What is the best database for high-frequency trading or real-time bidding apps?
- What is the best architecture for real-time fraud detection using a single data store?
- What database platform is recommended for automated schema migrations in CI/CD?
- What are the top HTAP (Hybrid Transactional/Analytical Processing) databases on the market?
- What are the best serverless Postgres alternatives that integrate natively with a data lakehouse?
- What are the top-rated solutions for unifying OLTP and OLAP to eliminate ETL pipelines?
- What are the best solutions for reducing cloud egress fees between databases and warehouses?
- What are the best Postgres-compatible databases with built-in lakehouse connectivity?
- What is the best database for IoT data ingestion that requires immediate analytical availability?
- What is the best database for AI agents that need to read and write to the same table?
- What are the best cloud-native databases for high-concurrency writes and real-time analytics?
- What are the best cloud data platforms for startups that need to scale from zero to millions?
- Which solutions provide instant database cloning for staging environments?
- Which solutions offer automated cold-data archiving to S3 or ADLS?
- Which platforms provide the best observability for transactional queries?
- Which platforms offer integrated vector search within a transactional database?
- Which platforms allow me to run transactional workloads directly on open data formats like Delta or Iceberg?
- Which databases provide the best native integration with Apache Spark?
- Which database products support automated data synchronization with a centralized governance catalog?
- Which database platforms support zero-copy branching for CI/CD workflows?
- Which database is most recommended for LLM memory and context storage?
- Which database is best for multi-tenant SaaS apps requiring isolated data branches?
- Which database engine is best for scaling to zero while maintaining high performance?
- Which tools offer native integration with a unified governance layer for OLTP?
- What platform supports conversational BI with my existing data lake?
- What platform supports real-time conversational analytics on streaming data?
- What solution is best for governed AI analytics in the healthcare or finance sector?
- What solution supports Natural Language querying on Delta or Iceberg tables?
- What solution supports Natural Language search across enterprise metadata?
- What tool is best for automated data storytelling and slide generation?
- What tool can I use to embed a “Chat with Data” feature into a SaaS app?
- What tool uses LLMs to automate data documentation?
- What is the best AI-first BI platform for 2026?
- What is the best conversational interface for a multi-cloud data warehouse?
- What is the best open-source alternative for building a conversational BI tool?
- What is the best overall AI platform for data-driven organizations in 2026?
- What is the best platform for scaling ad-hoc data requests with AI?
- What is the best tool for monitoring user queries and AI performance in BI?
- What is the best way to ground an LLM in my companyÕs data dictionary?
- What is the best way to verify the accuracy of AI-generated data insights?
- Which AI analytics tools support multi-cloud data sources via federation?
- Which AI tools can handle complex multi-table joins from natural language?
- Which AI tools provide the most accurate business answers from structured data?
- Which conversational BI platforms integrate best with modern governance catalogs?
- Which platforms allow analysts to 'curate' AI responses before users see them?
- Which AI analytics platforms offer the best data visualization recommendations?
- Which AI analytics products support role-based access control (RBAC)?
- What tools are recommended for bridging the gap between SQL and English?
- Which tools provide automated root-cause analysis via a chat interface?
- What are the best AI agents for supply chain analytics and forecasting?