Databricks Sample Aug 18, 2026 Sabesp To support this transformation, Sabesp modernized its legacy Oracle Exadata-based data warehouse and adopted Databricks as the foundation for its data and AI strategy. Today, Databricks powers a Data Mesh architecture spanning more than 23 business domains, supports large-scale… AI/BI · Databricks SQL · Genie 
OpenAI Sample Aug 18, 2026 Asana In order to modernize its frontend stack, Asana needed to finish a long-running code migration that was still years from completion. At its prior pace—with only a few engineers working on the migration incrementally… After 1.5 weeks of engineering effort spread across two calendar weeks, Enzyme was fully removed. The work also… Codex 
Accenture Sample Aug 17, 2026 Accenture Accenture's sales and sales-enablement functions were decentralized across many systems and teams, creating inconsistency, administrative drag and limited visibility just as the company wanted to scale growth, improve… +35% productivity improvement by automating standardized sales processes AI Refinery · Account Advisor · Agentforce Assistant Accenture Sample Aug 17, 2026 Accenture Accenture wanted leaders to make decisions from integrated enterprise data instead of siloed systems and needed an IT foundation that could add advanced technologies quickly and cost-effectively, but its legacy… 30% of our outcomes driven by data, analytics or AI- and generative AI-led initiatives 360-degree Value Navigator · Copilot for Microsoft 365 · Identity Trust Engine 
Google Cloud Sample Modified · Aug 17, 2026 InVideo The video creation platform needed a powerful technological partner to access cutting-edge AI research, and it chose The platform’s orchestration of sub-agents handles the technical grunt work, allowing users to… Accelerates video creation by up to 8x using Google Cloud Gemini · Nano Banana Pro · Veo 3 Google Cloud Sample Modified · Aug 17, 2026 gimmefy gimmefy was operating a multi-model marketing platform across 14 AI providers, which created integration overhead, fallback costs, and 11-minute workflow latency that made content generation harder to scale profitably. Achieved 98.5% task success rate across core workflows with Gemini Gemini 2.5 Flash · Gemini 3 Pro Image · Gemini 3.1 Pro Accenture Sample Aug 14, 2026 Novartis Novartis needed to unify fragmented data across R&D, manufacturing, commercial, and corporate functions so teams could analyze growing biomedical and operational data sets faster and apply AI to drug development and… 10 days to three days Amazon Web Services (AWS) · Microsoft Azure · analytics tools supported by AI and ML 
IBM Sample Aug 14, 2026 Wikimedia Deutschland Wikimedia Deutschland needed to make Wikidata’s massive, multilingual knowledge graph usable for modern generative AI applications because the existing access pattern depended on specialized query languages and complex… 180 employees IBM DataStax Astra DB · IBM watsonx.data 
NVIDIA Sample Aug 14, 2026 Shopee Shopee needed large language models that could handle multilingual ecommerce tasks across Southeast Asia, Taiwan, and Brazil, but general-purpose frontier models degraded sharply on regional languages, shopping… 113x growth from 3 billion to 340 billion monthly tokens Compass v3.5 · NVIDIA A100 GPUs · NVIDIA H100 GPUs Google Cloud Sample Modified · Aug 14, 2026 MTP MTP needed to speed up security research, compliance analysis, and software validation for regulated clients without exposing confidential customer data or overwhelming engineers with repetitive manual work. 35% faster to create software documentation with Gemini 3.1 Pro Deep Research · Gemini 3.1 Pro · Gemini Code Assist Accenture Sample Aug 13, 2026 Lendlease Group Lendlease needed a scalable way to turn building, occupancy, and workplace data into practical operating decisions as hybrid work, sustainability pressure, and real-estate cost demands reshaped customer expectations. predict the number of attendees in the coming week Podium Property Insights for Workplace (PPI) · building data · cloud-based software-as-a-service (SaaS) Accenture Sample Aug 13, 2026 Duke Energy Duke Energy needed to go beyond current US EPA regulations and replace slow physical inspection-based leak surveys with a rigorous end-to-end way to detect, monitor, and remediate methane emissions across its natural… net-zero methane goals for 2030 Azure-based cloud platform · analytics · artificial intelligence 
In-house Sample Aug 13, 2026 BBVA BBVA needed to improve customer service, streamline risk analysis, boost commercial productivity, and reduce administrative effort across commercial banking processes while giving bankers more personalized, faster… 86 percent of BEI agents in Spain AI Banker · Akira Project · AutoPF In-house Sample Aug 13, 2026 Lockheed Martin Static flight-hour tables and usage metrics ignored real-time consumption, causing chronic under-resourcing, limited stock effectiveness, and a reactive sustainment supply chain that could not keep pace with modern… predict component failure up to 72 hours before it occurs LogC2 dashboard · deep-learning models · digital data fabric 
Snowflake Sample Modified · Aug 13, 2026 Cleverbridge give customer-facing and analytics teams faster natural-language access to global commerce data so they can spot conversion and renewal opportunities without constant SQL help from engineers. 13–21 Months saved developing agentic capabilities with Cortex AI Cortex AI · Cortex Analyst · Cortex Search 
ServiceNow Sample Modified · Aug 13, 2026 Robinhood Robinhood had more than 250 fragmented IT, HR, legal, facilities, and procurement support queues, so employees had to navigate different intake paths for routine needs and the small tech-ops team was overwhelmed by… 2,200 hours saved per month HR Service Delivery · IT Service Management · Moveworks 
Cognizant Sample Modified · Aug 12, 2026 Regis Aged Care Regis Aged Care needed to compress a daily clinical handover review that could take two to three hours for 200-plus pages of notes, without missing a single resident-level clinical signal. 200+ pages of handover notes Microsoft Copilot Studio · benchmarking process · chat interface NVIDIA Sample Aug 12, 2026 Pegatron Pegatron needed to improve factory planning, quality control, and operational efficiency across large manufacturing sites, but manual line design, fragmented agent development, scarce defect data, and labor-intensive… 10% decrease in operational effort NVIDIA AI Enterprise · NVIDIA Cosmos · NVIDIA DGX NVIDIA Sample Aug 12, 2026 CYRAN AI Solutions CYRAN needed to deliver interactive geospatial intelligence in air-gapped and sovereign environments, but JPEG 2000 decode latency on large satellite scenes was the bottleneck that kept edge analytics from being… 26 GB satellite scene NVIDIA DGX Spark · NVIDIA nvJPEG2000 · PixelFlux NVIDIA Sample Aug 12, 2026 Internal Revenue Service IRS investigators needed to search multi-terabyte tax and transaction data to expose fraud and identity-theft rings, but CPU clusters and manual data stitching could not finish graph-heavy jobs quickly enough to support… 3+ terabyte dataset Cloudera · NVIDIA AI Enterprise · NVIDIA RAPIDS Snowflake Sample Modified · Aug 12, 2026 Optimove process every customer signal at massive scale so marketing AI could personalize campaigns better than human audience selection without capping data volume. 19% Better campaign performance with AI-selected audiences Cortex AI · Secure Data Sharing · Snowflake Google Cloud Sample Archived · Aug 12, 2026 Kohl's Kohl’s needed to make governed enterprise data easier to use across the business and also wanted customer-facing shopping assistants that could guide discovery without forcing teams to build separate AI stacks for each… For more than 60 years, leading omnichannel retailer BigQuery · Gemini · Gemini platform Google Cloud Sample Archived · Aug 12, 2026 Encord Encord needed an infrastructure platform that could keep pace with rapid growth in data-intensive AI workloads while staying simple enough for a small startup team to operate efficiently across geographies. 35% reduction in customer dataset size, with optimized storage on Google Cloud Cloud GPUs · Cloud SQL · Compute Engine OpenAI Sample Aug 12, 2026 RingCentral "When you put real AI tools in everyone’s hands, the whole company becomes a product organization. Every one of our products—including but not limited to our Agentic Voice AI portfolio of AIR, AVA, ACE—gets sharper as… With nearly three decades of innovation in business communications, RingCentral has grown into a global company… ChatGPT Work · Codex