The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

Analytics : data science, data analysis, and predictive analytics for business by Covington, Daniel, author. Publication date 2016 Topics Business intelligence, Information technology, Data mining, ...

Speedata, whose first-of-its-kind Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads by orders of magnitude across industries, announced the launch of its ...

Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a $44 million Series B funding round ...

Speedata, whose first-of-its-kind Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads by orders of magnitude across industries, today announced the launch of its ...

Abstract: In today's world the modern generation applications such as social media application, web based application, big data analytics producing huge amount of data which brings up many challenges ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial ...

Abstract: Big Data Analytics methods take advantage of techniques from the fields of data mining, machine learning, or statistics with a focus on analysing large quantities of data (aka `big datasets' ...

In Pennsylvania, lawmakers are writing legislation to fast-track permitting for data centers. The state is viewed as an up-and-coming data center destination, but there is also a sense that ...

3. Leverages Benchmarks Across Sectors. In the early stages of the venture capital space, data analytics is critical in shaping our financial planning and decision-making process by enabling us to ...

Edge analytics, supported by Big Data frameworks, enables processing at the source. Companies can train AI models on-device with federated learning, keeping sensitive data decentralized and secure.