Vamsi Chemitiganti

In 2024, we can expect to see even closer collaboration between gaming companies and entertainment studios, leading to the creation of groundbreaking new forms of entertainment that captivate audiences across platforms.

In 2024, we can expect to see more changes to the way products are developed & delivered to consumers, with new roles and skills required to succeed in this evolving landscape.

Why are China and the U.S. sparring over 5G? Sino-American rivalry has loomed large through the 5G era, turning what was once a routine network-investment cycle into a geopolitical arms…

While 5G technology has undoubtedly revolutionized the telecommunications industry, it has not yet met the lofty expectations that were set for it in 2023.

5G technology holds immense potential for transforming urban development and creating sustainable, resilient, and livable smart cities. By leveraging 5G’s capabilities, cities can optimize infrastructure, enhance public safety, and improve the overall quality of life for their residents.

With its ultra-low latency, high bandwidth, and massive connectivity, 5G is poised to reshape the way we deliver and receive medical care.As healthcare providers chart their digital strategies for the…

In this blog, we will delve into the technical aspects of the intersection between 5G and financial services, exploring the opportunities, challenges, and transformative potential that this convergence offers.

As technology continues to evolve, and as consumers continue to change their viewing habits, we can expect to see even more innovation and disruption in the streaming media industry in the years to come. The next blog will discuss how technology trends continue to impact this exciting industry.

Per the WSJ, here’s what you need to know about how much the technology has, and hasn’t, changed things. Drew FitzGerald, Alexandra Wexler in Johannesburg and Yang Jie in Tokyo contributed to this article.

As AI becomes more pervasive in the enterprise, edge computing will play an increasingly important role. AI models are often data-intensive and require real-time processing to be effective. Edge computing provides the ideal platform for running AI models at the edge of the network, where the data is generated.