GlobalData estimates the total AI market will be worth $383.3 billion in 2030, with a robust 21% compound annual growth rate (CAGR) from 2022 to 2030.

GlobalData’s latest report, “The State of the Biopharmaceutical Industry - 2023,” reveals that AI and big data were trending as the two most disruptive emerging technologies since 2020, with a significant margin from the third choice in all four years.

For the report, Verdantix interviewed 301 senior executives in North America, Europe, South America, South Africa, India, Australia, China, and the Gulf States responsible for operational excellence initiatives at firms with revenues of at least $250 million. 

In order to sustain its market leadership by providing high-quality and innovative offerings, Ethio Telecom wanted to enhance and broaden its risk management strategy by having a holistic defense mechanism.

The CopperEdge GN8112 is a 112-Gbps, PAM4, quad-channel linear equalizer designed to enable low-cost, manufacturable ACCs that can deliver reaches of up to 5 meters over a copper twinaxial cable assembly.

The acceleration of digital transformation caused by the pandemic will continue for at least the next couple of years. Rapid and often continuous data center retooling is expected as businesses rely on and respond to the above trends to meet their evolving customer, employee, and partner needs.

While nothing is certain in today’s ever-changing tech-centric business climate, industry leaders and the data say the same thing: Fintech innovation and growth will continue trending upward for the foreseeable future. 

Over the past decade, advancements in the realm of (AI) have spurred shifts and growth across technology, social connection, and global industries, such as e-commerce, health care, and more. 

Vertiv experts see long-held conversations around efficiency and utilization in the data center evolving to reflect a more comprehensive and aggressive focus on sustainability. 

The Jetsys-5320 meets the growing data processing needs of extremely rugged and mobile embedded computing applications by easily handling data-intensive computation tasks