At the 2024 Gartner Data & Analytics Summit (coming soon on March 10-13, 2024, in Orlando),…
Research shows that almost half (49%) of people have used generative AI, with over one-third using…
Everyone knows that organizations are more successful if certain of their processes run in real time.…
Businesses are searching for new ways to apply artificial intelligence (AI). One of the major roadblocks…
Expanded use of digital technologies like IoT, enterprise connectivity, and analytics is the key to addressing the major challenges manufacturers face in 2024.
While GenAI will be prominent at the Gartner Data & Analytics Summit, at least half the agenda is dedicated to traditional topics covering good data management and how to get the most out of your analytics investments.
In this week's real-time analytics news: AWS announced two Mistral AI models to soon be available on Amazon Bedrock.
With more IoT devices being installed and deployed in manufacturing plants and on production lines all the time, new applications for IoT data (beyond the more well-known use cases) are starting to emerge.
With AI on the edge, instead of bringing data to the algorithm, the algorithm is going to the data and enabling a whole new level of insights.
Thoroughly exploring data with AI before a predictive model gets built is a way to be sure all the important factors in complex datasets will be tracked.
The Application Generation has arrived and they're making it their mission to expose and eliminate poorly performing applications. Now is the time to take a look at your tech stack to ensure you are equipped to offer optimized performance, can navigate disruptions easily, and are delivering the experience that today's users expect.
In the rapidly evolving landscape of AI, ethical considerations are not mere add-ons but integral components of responsible development. OpenAI promotes ethical AI to shape the discourse around responsible AI development.
The challenges associated with shadow AI will likely get worse before they get better as the implementation of AI tools is occurring at a faster rate than most organizations are able to secure them.
In this week's real-time analytics news: NVIDIA launched the RTX 2000 Ada Generation GPU, which delivers the latest AI and compute technology to compact workstations.
Integrating AI into machine vision is rapidly becoming a critical component in the manufacturing sector, according to an ABI Research report
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion in the sense that data is processed before being stored.
The personalized and participatory experiences introduced at the Las Vegas Super Bowl have set a new standard for fan engagement.
The study showcases the potential of AI in antibiotic discovery, offering insights into antibiotic design and aiding in the development of novel drug candidates.
Digital twins are helping to address and provide transparency into matters keeping manufacturing leaders awake at night, such as forecasting abilities, material and labor constraints caused by rising costs, and talent gaps.
In this week's real-time analytics news: Cisco and NVIDIA will team up to deliver optimized infrastructure for demanding AI workloads.
How should you pick a protocol for your next IoT project? This article, the third and final one in a series, provides you with a few useful pointers.
With predictive analytics and modern AI-powered capabilities, security teams can bolster defenses and ensure stronger protection against modern threats.
An overview of Informatica's efforts to help clients realize the value of data-driven decisions from real-time data through the use of AI in data management.
A study by researchers at Beth Israel Deaconess Medical Center found that when test results were positive, the AI-enabled chatbot's diagnostic accuracy was comparable to that of human clinicians in most cases.
A recent survey found that businesses believe generative AI has massive potential to enable their real-time data analytics efforts.
In this week's real-time analytics news: The Allen Institute for AI (AI2) released OLMo 7B, an open-source LLM, along with the pre-training data and training code.
Using only data you add to a dataset to train an AI-powered chatbot increases the chances a customer service chatbot will offer accurate and helpful answers.