Subex’s AI-first solution to replace the operator’s legacy system
September 21, 2022
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.
With cloud-native cores, network slicing, edge computing, and other innovations, 5G networks will look and act unlike anything we’ve seen before. But with so many new capabilities and possibilities, the next mobile generation also carries big question marks.
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.
Mainstream adoption of artificial intelligence and increased equipment integration also likely
December 6, 2021
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
Program combines AI, ML, cybersecurity, and privacy
October 26, 2021
Courses in the certificate program will cover topics, such as robustness, reliability, security, privacy, fairness, accountability, transparency, and ethics in AI systems.