With edge operations increasingly the key to success, businesses can achieve the agility required for today's business and halt ransomware's threats to their data with flexible, multi-cloud strategies that enable global collaborations with secure file access for all relevant teams.
In this week's real-time analytics news: NVIDIA is bringing Generative AI down to the individual developer and consumer level with its GeForce RTX SUPER desktop GPUs and new AI laptops that use them from every top manufacturer.
2024 is going to be a big year for real-time data and AI. Here are 19 women to watch who are moving the technology, business, and ethics forward.
Nearly half of all SMBs lack a full-time IT employee and most of those with in-house IT only have a small team. As such, they face hurdles in adopting and maintaining advanced technologies like automation and AI.
Generative AI might be the main buzzword in the financial services industry, but remains a small part of the overall AI adoption as the industry looks to implement AI responsibly.
AI serves as a valuable ally to businesses, providing multiple advantages in the growing need for informed data analysis.
Risk-averse industries must address concerns about hallucinations, security, and privacy before they can confidently embrace generative AI. Here are some tips on how to do that.
In this week's real-time analytics news: IBM announced it would acquire StreamSets and webMethods from Software AG to enhance its efforts in AI and hybrid cloud.
As we look ahead, the success of Generative AI will be measured not by its ability to grab headlines or fuel grandiose visions but by its capacity to quietly enhance our work, assist our endeavors, and provide pragmatic solutions within specific domains.
Key considerations around data security and privacy, the future of work, and government regulation will be paramount for business leaders as they evaluate AI adoption within their organizations.