His recent tenure at Cognizant USA as a Senior Manager is marked by enterprise-scale Generative AI platform deployments and ...

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and ...

Because of the huge expense of computers in the 1960s and 1970s, mainframes and minicomputers were time-shared machines, and capacity was often rented out under a utility model. Such were the roots of ...

But data is not the only big innovation we’re building. One of the most promising aspects of cloud architecture are machine learning, AI, and automation systems that can be used to accelerate and ...

Key Takeaways There is a growing consensus that the growing volume of end-device data to the cloud for processing is too resource-intensive, time-consuming, and inefficient to be processed by ...

The data processing in a smart gateway platform typically involves several key stages. First is data collection, where the gateway needs to support multiple communication protocols and be compatible ...

Mr. Ravi Kumar Vankayalapati is one of the finest professionals, having more than 14 years of experience that continues to drive innovation in the fields of enterprise IT systems. He is a ...

Confluent Inc., maker of a platform for building and managing real-time data streaming pipelines using Apache Kafka, is ...

Binoy Kurikaparambil Revi said Rather than spending years rewriting medical applications from scratch, we should focus on ...

Cloud data processing systems that integrate MapReduce are now pivotal in tackling data-intensive challenges across various scientific and commercial domains, driving advancements in data ...

The EU is taking a stand against vendor lock-in for data services, including IoT, connected device, and cloud services.