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Ep3: Data, AI, and the Hybrid Hustle: Connecting the Dots in a Fast-Paced World

Technology in the enterprise is evolving at a record pace, making it increasingly difficult to keep up with the latest "tech du jour." AI has only accelerated this evolution, bringing about a data reckoning—especially as more organizations adopt hybrid models to manage their data. Both users and organizations are seeking data platforms that can connect the dots of their data today while adapting to tomorrow's demands. This shift underscores the growing demand for open standards. But what does that kind of platform experience look like today?

Embedded Spotter, the AI Analyst that delivers actionable insights where you work

With ThoughtSpot Embedded’s modern developer tools, you can embed Spotter into any of your business applications. Spotter integrates effortlessly into your preferred platforms, seamlessly embedding within existing business applications, digital productivity tools, and custom agents to meet you where you work, so your users can ask questions of their data anywhere, at any time.

UK Data Concerns Soar as AI Surges - 42% of IT Leaders Identify Data Quality as Major Barrier to AI Success

Hitachi Vantara survey finds data demands to triple by 2026, highlighting critical role of data infrastructure in AI success and revealing gaps in data governance, security, and sustainability.

What's New in ThoughtSpot - 10.4 Cloud Release

ThoughtSpot Analytics Cloud 10.4 is now available! Meet your new AI analyst that delivers true self-service through conversational AI, backed by enterprise-grade trust. Create dynamic user sessions with custom security features using new API endpoints. Manage your enterprise data models with new interfaces and intuitive workflows.

Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

As organizations increasingly integrate AI into day-to-day operations, scaling AI solutions effectively becomes essential yet challenging. Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Cloudera tackles these challenges with the AI Inference service and tailored Solution Patterns developed by Cloudera’s Professional Services, empowering organizations to operationalize AI at scale across industries.

Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

We’re thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): “Summarization with Gemini from Vertex AI”. An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications. More on AMPs can be found here.

Building a FinOps Ethos

In today’s data-driven enterprises, the intersection of fiscal responsibility and technical innovation has never been more critical. As data processing costs continue to scale with business growth, building a FinOps culture within your Data Engineering team isn’t just about cost control, it’s about creating a mindset that views cost optimization as an integral part of technical excellence.

Product Flyover - FX Loader

In today's fast paced financial world, maintaining precision and speed in managing foreign exchange rates is more crucial than ever. Professionals face the constant demand for accurate and timely data, as even minor errors can lead to significant financial consequences. This pressure often pulls focus away from strategic growth. FXLoader from insightsoftware steps in as the seamless solution to these challenges.