Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
A global partner to life sciences companies builds advanced analytics models to identify undiagnosed patients with rare diseases and map complex healthcare journeys.
Providing non-technical marketing professionals and business analysts with access to these complex workflows required a dedicated team for full-stack...
“Databricks Apps enable us to get all of our best data and AI workflows into one place where our analysts can leverage everything we've built in an easy, accessible way.”
Real Chemistry's Self-service analytics is part of this use case:
Healthcare marketing, communications, and data analytics agency for life sciences.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Clients struggled with tedious manual setups. Gemini now auto-fills forms in 300ms and guides complex analysis like a human expert.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
A global partner to life sciences companies builds advanced analytics models to identify undiagnosed patients with rare diseases and map complex healthcare journeys.
Providing non-technical marketing professionals and business analysts with access to these complex workflows required a dedicated team for full-stack...
“Databricks Apps enable us to get all of our best data and AI workflows into one place where our analysts can leverage everything we've built in an easy, accessible way.”
Real Chemistry's Self-service analytics is part of this use case:
Healthcare marketing, communications, and data analytics agency for life sciences.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Clients struggled with tedious manual setups. Gemini now auto-fills forms in 300ms and guides complex analysis like a human expert.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.