In the rapidly evolving landscape of data management and transformation, few professionals have demonstrated the adaptability and technical prowess that Saketh Reddy Cheruku has exhibited throughout ...

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...

To ensure security, scalability and agility, many organizations are migrating to the cloud to unify data, reduce costs and ...

Peeyush Patel is a seasoned Data and Analytics Engineer with 9 years of experience, based in Nashville, Tennessee. With a strong educational foundation, including a Master of Science in Management ...

AI-driven solutions like Osmos empower data engineers and business analysts to tackle tough data challenges, making it easier for enterprises to build powerful AI applications.” — Bryan Smith, Head of ...

Jiangsu Collective Procurement Supply Chain Management Co., Ltd. recently announced that it has applied for a patent titled "Big Data Middle Platform System for Collective Management of Suppliers and ...

MongoDB enables millions of developers to securely build AI applications on any infrastructure, from local machines to ...

The rise of AI-ready private clouds represents a fundamental shift in how enterprises approach infrastructure. The objective ...

Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

Adabala has done more than just technological implementation. He significantly reduced reporting times by 40 percent through ...

For finance teams, drill-through solves the age-old challenge of getting from a variance to its root cause—fast,” said Joe Cooper, VP of Alliances at Incorta. “Instead of pulling reports, chasing down ...

In terms of programming paradigms and AI Agent development frameworks, AI native application development has gone through stages of high-code (Java, Python, etc.) and low-code (Dify, RocketMO). The ...