Systems | Development | Analytics | API | Testing

Analytics Beyond Reporting: How Embedded BI Drives Executive Action

Most executives are drowning in dashboards but starving for insights. We’ve been conditioned to view “analytics” as a rear-view mirror, a report on what happened, rather than a steering wheel for what should happen next. Traditional BI creates a “reporting tax,” where scaling insights requires a proportional increase in data analyst headcount to interpret the noise.

Evolve25: Customer Fireside Chat with Banco do Brasil

Learn how the oldest bank in Brazil manages over 800 AI solutions and 5,500 GenAI use cases while maintaining a "Responsible AI" framework. Discover the bank's three-block ROI strategy focusing on operational efficiency, customer satisfaction, and new business models. This session is a must-watch for enterprise leaders navigating the intersection of legacy infrastructure, culture shifts, and Agentic AI.

Ep 64 | AI Managed Services: A Smarter Path for SMEs

AI adoption is accelerating across small and medium-sized enterprises (SMEs), but many businesses lack the in-house expertise to build and manage AI infrastructure effectively. In this episode of The AI Forecast, Paul Muller speaks with Hyve’s Marketing and Operations Director, Charlotte Webb, about how managed service providers (MSPs) are reshaping AI adoption for SMEs. They explore the build vs. buy debate in AI solutions and why cloud computing alone doesn’t guarantee lower costs, better performance, or compliance.

Scalable AI Economics: Achieving Secure, Hybrid Intelligence with Cloudera, AMD, and Dell Technologies

Enterprise interest in generative and agentic AI has accelerated dramatically over the past two years. Organizations across industries are exploring how AI agents, intelligent assistants, and automation can improve productivity, streamline operations, and unlock insights from growing volumes of enterprise data. Yet as enthusiasm grows, so do questions around cost, security, and operational complexity.

Your Analytical Edge Starts with You - A ThoughtSpot International Women's Day Spotlight

"Your lived experience is your analytical edge." For International Women's Day, we sat down with women leading the future of Data & AI: Women In Data's Sadie St Lawrence, NextEnergy Group's Lydia Collett, and ThoughtSpot's Eugenia Losada-Gamst Martínez. They shared what it actually takes to thrive in this industry: Hit play to hear it in their words. Be part of the conversation shaping the future of Data & AI.

Evolve25: Fireside chat with Brian Martin From AbbVie

Discover how AbbVie leverages Knowledge Graphs and RAG (Retrieval-Augmented Generation) to automate clinical study reports, reducing draft times by up to 80%. Learn about their "three-class formalism" for human-in-the-loop governance and how they achieved a 250,000-hour FTE return on investment in 2024. This session provides a strategic roadmap for scaling AI in highly regulated industries while maintaining strict data security and clinical integrity.

Snow Report: What's Happening At Snowflake In March

Hear what’s new at Snowflake in March, from major product launches to upcoming community events, and more. Next generation Snowflake Notebooks are now generally available, delivering a familiar Jupyter-based experience directly in Snowflake workspaces. Online model inference in the online feature store is also generally available, enabling millisecond predictions for real-time use cases like fraud detection and personalized recommendations, with no extra infrastructure to manage.

EVOLVE25: CRO Keynote with Frank O'Dowd

Learn why 95% of AI implementations fail and how "winners" succeed by solving narrow, high-value back-office problems with a trusted data lakehouse foundation. Discover the latest innovations in private cloud inferencing, data lineage via Octopai, and the new "AI in a Box" solution developed with Dell and NVIDIA. From managing 3-exabyte data lakes to reducing TCO on AWS, see how Cloudera is modernizing the open data lakehouse for the next era of enterprise intelligence..

Is AI dashboard a dead end? Here's what a real analytics platform actually does

Here’s a question worth taking seriously if you are a BI practitioner: if I can describe what I want to an LLM and have a working dashboard in under a minute, what exactly am I paying for with a purpose-built analytics platform like Yellowfin? It is a fair challenge.