Corner the Market: How AI and Quantum Computing will Revolutionize the Speed and Scale of Trading
Quantum computing processing power could cut AI model training exponentially, and increase the speed of informed decision making dramatically.
Topic: From Our Experts
Top articles from our RTInsights Experts
An End to KPI Misdirection: Aligning Data to Strategy
With the adoption of AI in business processes, KPIs can provide a window into the health of an organization at granular levels, crystalizing the performance …
Digital Sales Transformation in a Customer-First World
The goal is to create a living, breathing plan to provide value at every touchpoint in the company with a dynamic and collaborative plan that puts the customer …
The Case for Continuous Intelligence
It’s time to move beyond simple streaming analytic applications to truly cognitive applications that incorporate the latest in machine learning and deep …
Process + Master Data & Digital Transformation, Part II
Process + Data are both critical for innovation and transformation. The potential and the power of Data insights are realized in the digitized and automated …
Germany Turns Manufacturing into an IoT Art Form
Schwering & Hasse uses IIoT to make 32 million miles of high-grade copper wire, monitored and controlled for quality with a level of precision that is down to …
AI Providing Mental Health Guidance? Not So Fast, Say Psychiatrists
AI is unlikely to replace a human clinician anytime soon. However, it may help with synthesizing and collecting patient data.
How Real-Time Data is Automating the Temperature-Controlled Supply Chain
Real-time temperature and product location monitoring technology can shed light on issues before they escalate and connect critical time, temperature, and …
DataOps: The Antidote for Congested Data Pipelines
DataOps is an emerging set of agile practices, processes, and technologies for building and enhancing data and analytics pipelines to better meet business …
Cutting Through the Fog: The Speediness of Edge, Hybrid, and All-Cloud
When trying to determine where to carry out analysis, application characteristics and edge-cloud transfer bandwidth are the key factors affecting