While there’s naturally a lot of in trepidation when it comes to anything involving artificial intelligence…
It has just been reported that more than 500,000 servers and IoT devices across the globe…
Consumers expect instantaneous information and services from the companies they interact with. IDC estimates that the…
As we step into the next decade, there's a growing sense – almost an inevitable momentum…
Continuous intelligence, which relies on real-time analysis of streaming events data, is being widely adopted across many industries, for many applications
Advanced graph analytics provides deeper insights, complementing BI, and helps organizations preempt and prevent potential fraud while protecting customers.
The accurate prediction of energy consumption at a specific time under many outside and inside conditions becomes an essential step to improve energy efficiency and management in a smart building.
Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses the benefits and inhibitors her clients are experiencing as they implement continuous intelligence strategies. Learn how an insurance company is analyzing historical data for context and streaming telematics data to provide personalized service and pricing.
Artificial intelligence, blockchain, and machine learning will also see their roles increasing according to a report from the Institute of Management Accountants.
Most organizations concerned with event streaming are leveraging this modern data movement pattern for streaming analytics—analytics computations on real-time data streams from applications, social media, sensors, devices, websites, and more.
Three finalists will be announced for the competition that provides a $3 million Grand Prize, $1 million 2nd place prize, and $500k 3rd place prize.
In the news this week: an AI toolkit that helps businesses prepare board members for AI, enhancements to an intelligence SQL platform, new SaaS offerings to support the digital workplace, and more.
Responding quickly is a critical business driver. This requires data centers live on the edge to deliver real-time data for an enhanced customer experience.
Most use cases for AI in companies are developed by data scientists and then deployed and used essentially as a black box.
The complexity and ever-changing nature of fraud and financial crime patterns requires an ability to quickly and effectively spot and stop incidents.
It’s no longer enough to simply ingest streaming data. Companies need to transition to developing insights that help them understand events in real time.