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.

Prioritization: The Pivot Point from POC to Production

We often hear from customers that they’re excited about what they could do with data and AI but are not sure how to do it. Or that the tech teams are “all in” but they can’t convince the powers that be to move forward. It’s not that they don’t know what to do — they could list a number of initiatives or use cases that would benefit from insights from their data or to which they could apply AI. But many organizations seem to suffer from institutional paralysis.

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.

New with Confluent Platform 7.8: Confluent Platform for Apache Flink (GA), mTLS Identity for RBAC Authorization, and More

At Confluent, we’re committed to building the world's leading data streaming platform that gives you the ability to stream, connect, process, and govern all your data, and makes it available wherever it’s needed, however it’s needed, in real time. Today, we're excited to announce the release of Confluent Platform 7.8. This release builds upon Apache Kafka 3.8, reinforcing our core capabilities as a data streaming platform.

The Perks of Using Astera at Your Logistics Company

Logistics industry has to deal with data from multiple sources including bills of lading, customs declaration forms, proofs of delivery, and others. Then they have to ensure the data is prepped, extracted, parsed, converted to the right format and then analyzed. Given how important logistics is in today’s market, it is no wonder that McKinsey Global Supply Chain Leader Survey 2024 reported 74% of respondents were interested in advanced digital and AI-based tools for planning and scheduling.