Jaskaran Dhiman has been actively involved in this evolution. Starting out as a user of Jira at K&S four years ago, he ...

In this modern era, the integration of machine learning and real-time predictive analytics is reshaping healthcare systems ...

AI-based smart city systems facilitate real-time observation, predictive maintenance, and better resource allocation, laying ...

The Shapley-based approach outperforms established methods, including the Hungarian algorithm, reinforcement learning algorithms like Deep Q-Network (DQN) and Proximal Policy Optimization (PPO), as ...

Sushira Somavarapu has experience in data analytics and digital platform optimization, combining technical knowledge with ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

As utilities face lead time challenges, strategic partnerships offer solutions to supply chain bottlenecks in critical grid ...

The good news is that data centers can reduce their energy impact by harnessing AI in smarter ways. AI-powered digital ...

In the dynamic and competitive landscape of the advertising industry, optimizing the allocation of traffic and budget resources to maximize advertising effectiveness is a critical challenge for both ...

Economic Downturn: 400 Companies Break Through逆境 with the "Savings Philosophy" of Bearcat Arrives!

To drive operational and financial impact, organizations need an enterprise-wide system of record grounded in objective workforce data.