RTInsights

1 week ago | rtinsights.com | Elizabeth Wallace

The edge computing market is set to boom over the next few years. Find out what’s driving its exponential growth. A new research study has revealed where expectations lie for edge computing over the next few years. According to a MarketsandMarkets report, the U.S. Edge Computing Market is poised for significant growth, projected to reach USD 43.59 billion by 2029, up from USD 24.17 billion in 2024, at a compound annual growth rate (CAGR) of 12.5%.

2 weeks ago | rtinsights.com | Elizabeth Wallace

A new study uncovers the ways AI is reshaping the roles of data professionals in unexpected ways–through partnerships not replacements. The 2025 State of Analytics Engineering Report reveals that AI is rapidly reshaping the role of data professionals, but rather than replacing jobs, AI is augmenting their capabilities. With AI playing an increasingly vital role, data teams are growing in size, driving greater investment and transforming workflows to improve decision-making.

2 weeks ago | rtinsights.com | Joe McKendrick

Cobots are engineered for seamless human-machine interaction, offering advanced motion control, real-time reprogramming, and dynamic task execution. There’s been quite a bit of discussion about the increasing role of robots in workplaces, but what we’re more likely to see are “cobots,” or collaborative robots, that serve as assistants alongside human workers. And they are being viewed as lower-cost, easier-to-deploy alternatives to full-on robots.

2 weeks ago | rtinsights.com | Salvatore Salamone

In this week’s real-time analytics news, Snowflake and its partners announced many new offerings at the Snowflake Summit 2025. Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week.

3 weeks ago | rtinsights.com | Salvatore Salamone

Collaborative AI agents offer powerful new capabilities for industrial automation, optimization, and resilience. These systems promise transformative benefits, but only if their complexity, coordination, and other challenges can be effectively managed. Collaborative AI agents have immense potential in industrial settings. Rather than operating as autonomous systems, they communicate and coordinate with each other to achieve shared or complementary goals.