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SAP is helping companies improve supply chain and industry-specific processes, connect through the business network and embed sustainability as a critical measure of business success.

The Veeam 2020 Data Protection Trends Report surveyed more than 1,500 global enterprises to understand their current approach toward data protection and management. Between downtime, gaps in availability and protection to full blown cyberattacks, the scope of modern data protection and management has become an increasingly complex issue.

There are many new compelling trends emerging in the field of human resources globally which will solve the issue of upskilling and reskilling of workforce in any industry. The global pandemic would most likely take this trend to another unusual track which we are not able to predict clearly at this moment.

As businesses worldwide adopt new go-to-market models, heightened supply chain expectations, and flexible workforce policies, their enterprise data architectures should also be examined and updated.

The sixth edition of the State of Marketing report presents the insights of nearly 7,000 marketing leaders across the globe. Our research highlights the strategic priorities, challenges, and technologies that are transforming the profession. These are especially important to consider as businesses navigate from crisis mode to back-to-work to growth.

Features AI Hearing Curve Active Noise Cancelling (ANC) Technology Hybrid […]

The report explores how energy management has become a critical part of an integrated sustainability strategy, the increase in use of digital data tools, and the rise of climate change as a focus for energy and resource supply.

Tech Mahindra has joined 155 global companies in calling for policies that will build resilience against future shocks by supporting efforts to hold global temperature rise to within 1.5°C above pre-industrial levels, in line with reaching net-zero emissions well before 2050.

Artificial Intelligence (AI) will have a key role to play […]

Organizations use hardware accelerators such as GPUs to dramatically improve the performance of AI/ML workloads that may run several hours or longer. IT teams have come to realize that these hardware accelerators are isolated islands—unable to be shared across many parts of the business.