Analyze the 90% of Data Legacy BI Leaves Behind with Spotter 3
With new AI capabilities, Spotter 3 blends structured and unstructured data, reasons like your best analyst, and turns every question into confident action.
Accelerating and Scaling AI Deployments Across Hybrid Environments - MLOps Live #40 with Safaricom
Safaricom, one of the most AI-mature mobile operators, delivers predictive modeling and hyper-personalized financial services to millions of users. But operational challenges were slowing down deployments—limiting their ability to scale and act in real time. In this session, Safaricom’s AI team shares how they: Watch now to learn how they overcame bottlenecks, scaled faster, and unlocked real-time impact at massive scale with the Iguazio technology.
Data Warehousing | Astera Data Pipeline Product Demo
Learn how Astera Data Pipeline caters to your warehousing needs.
Data Warehousing | Astera Data Pipeline Product Demo
Learn how Astera Data Pipeline caters to your warehousing needs..
Hidden Costs and Insights in Embedded Analytics Pricing
Key takeaways of embedded BI pricing: TL;DR Interested in pricing for Yellowfin? Request a quote. We’ve all been there: you’ve found the perfect solution for your product, but then you get to the pricing page and see a cost or pricing model that makes your jaw drop. That’s the "sticker shock" we want to help you avoid when buying embedded analytics. While the value of embedding BI is clear, not all pricing models are created equal.
Effortless Table Management with Qlik's Adaptive Iceberg Optimizer: Boost Performance, Cut Costs
Boost query performance by more than 2.5X and reduce storage costs by 50% compared to self-tuned Hive tables, without lifting a finger. Many data teams still need to manually develop and schedule custom tasks to maintain each and every table in their lakehouse, leading to inconsistent query performance and runaway costs.
How To Make Sense of Enterprise-Level Data With Google Cloud's Vertex AI and BigQuery
As an application developer integrating analytics into your application, your users expect a scalable, flexible solution that adapts to changing business needs. While organizations strive to capitalize on new AI tools, they’re also still wrestling with big data: massive, fast-moving datasets that traditional tools can’t handle easily.
Is a Data Monster Terrorizing Your Tech Stack?
Bloated tech spend, data infrastructure a mess, stalled out innovation? You’ve got a data monster. Confluent puts it to work for you with the World’s Data Streaming Platform.
Best Practices to Develop, Deploy, and Manage Gen AI Copilots
Generative AI copilots are moving from experimental tools to core enterprise solutions. But too often, organizations rush into development, only to discover adoption stalls because the copilot doesn’t solve a specific user problem, lacks trust safeguards, or can’t scale reliably. This guide lays out best practices across the entire lifecycle, from planning and building, to deployment, monitoring, and long-term maintenance.
Hitachi Announces NVIDIA AI Factory to Accelerate Physical AI Innovation
Strategic Initiative Combines Hitachi's Deep Operational Technology (OT) Expertise with Powerful NVIDIA Accelerated Computing and AI Software Stack.