Concurrent with the rapidly evolving digital landscape, enterprise data management is poised for transformative change in the coming years. At the same time, organizations driven by exponential data ...

Real-time flood forecasting of small- and medium-sized rivers in areas with scarce hydrological data is an urgent problem that needs to be solved. Traditional hydrological model parameters cannot be ...

We like the transaction because it provides the combined entity with valuable scale, which facilitates better media purchase prices that can be resold to clients, and it gives Omnicom the opportunity ...

"The city of Pau is a blueprint for how to successfully create and manage a people-centred, efficiently managed urban centre" ...

Cash flow from financing activities tracks the cash movements between a company and its owners or creditors. This section of ...

The rapidly evolving regulatory landscape requires rigorous data management and the right infrastructure deployed in all the ...

By  Desmond ISRAEL Esq Today, the movement of data across borders has become as vital as the movement of goods and capital.

Too much data leads to false AI insights. Here's how false AI insights occur and how leaders can prevent false AI insights through an AI output governance model.

Embracing information management as a cornerstone of AI-driven progress is the key to achieving the level of product excellence that once seemed like science fiction.

5. Use AI and data cleansing tools Use AI and data cleansing tools to unify disparate data sources and create a more coherent view of an organisation’s information. Jones suggests, that businesses ...

Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers. However, ...