American viewers are increasingly favoring older TV shows over new series. Free, ad-supported streaming platforms like YouTube, Roku Channel, and Tubi are rapidly outpacing paid services in growth and ...

Abstract: This study proposes a simple controller design approach to achieve a class of robustness, the so-called iso-damping property. The proposed approach can be executed using only one-shot ...

Dexter: Resurrection season 2 is set to resolve one of the most complicated problems in present-day streaming. The viewers have waited patiently since the first season concluded in September. Now, ...

IBM (IBM) revealed today it plans to acquire Confluent (CFLT), a pioneer in data streaming, for about $11B, prompting Confluent shares to surge more than 25% during early Monday trading. Confluent ...

IBM said Monday it’s buying data streaming platform Confluent in a deal worth $11 billion that will help bolster the technology company’s artificial intelligence strategy. The two companies said they ...

Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced new capabilities in Qlik Open Lakehouse that bring streaming ingestion and ...

Streaming events land in governed Apache Iceberg tables in the customer’s cloud, with on-the-fly transformations and comprehensive governance for analytics and AI Qlik®, a global leader in data ...

Artificial intelligence (AI) projects are moving from the exclusive domain of technologists to becoming a core component of the business environment, with the market set to hit a tipping point in 2026 ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

This project demonstrates how to use Azure Databricks and PySpark to explore and transform financial transaction data. The provided lab notebook (banking_lab.dbc) contained a series of prompts guiding ...

The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk ...