Abstract: With the ever-increasing adoption of machine learning for data analytics, maintaining a machine learning pipeline is becoming more complex as both the datasets and trained models evolve with ...

The contemporary business landscape is characterized by unprecedented volatility and a relentless demand for agility.

Based on the inaugural BetaNXT Data Modernization Benchmarking Survey of wealth management decision-makers, this webinar will reveal critical insights into the current state and future direction ...

which are useful in data exploration, query optimization and query compilation. In Facebook, the Hive warehouse contains tens of thousands of tables and stores over 700TB of data and is being used ...

The company introduced a Data Quality Native Application for Microsoft Fabric, now in public preview. This integration allows users to profile and cleanse data within the Microsoft Fabric ...

Generative AI offers a validated approach to tackling database migration. As AI integrates further into core operations, enterprises with modern data infrastructure will lead. Delaying modernization ...

At Ally, he delivered an enterprise-wide data modernization program—on time, under budget, and with a 100% success rate on the first attempt. Opinions expressed by Digital Journal contributors ...

The evolution of data ecosystems empowers enterprises to drive innovation, improve decision-making, and stay competitive in an increasingly digital world. Bridging the Gap Between Legacy Systems and ...

Radhakrishnan shared the evolution of his responsibilities ... "It brings together our approach to data, modernization and user experience into one platform," he said. A Legacy of AI and a New ...

A scholar of technology who has in-depth knowledge in data systems, Alok Singh studies how artificial intelligence is transforming contemporary data platforms. The article provides insights regarding ...