Why AI Has A Star Role In Future Of Energy
AI is critical to bringing utilities into today's digital era and establishing a more affordable, reliable, accessible, and sustainable system.
Topic: Industry Insights
How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
Smart Cities See Clear ROI, And Heightened Cyber-security Risks
Recent research found many metro areas reporting a return-on-investment from smart city
Meeting Consumer Challenges by Transforming mPOS
Consumers and retail staff both win from mobile POS solutions, as the staff is able to manage high traffic situations with ease, while shoppers are treated to …
Urban Digital Twins to Transform How Cities are Designed
The installed base of urban digital twin deployments is expected to grow from just a handful of early implementations now to more than 500 by
Seeing the IoT Promised Land is One Thing – But Getting There?
Survey finds 84 percent of enterprises cite monetization of product-as-a-service-revenue as the most important value/benefit of
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.
Bluetooth Technology Gives In-Building Real-Time Analytics Apps Precise Location Data
With continuous advancement of Bluetooth Low Energy (BLE) radios and advanced machine learning techniques, there is an opportunity to realize better …
Energy Sector Realizes Untapped Potential for Real-Time Analytics
The use of new real-time data streams and predictive analytics will give utilities intelligent decision-making capabilities to improve operations, reduce …
For Connected Vehicles, It Pays to See the Future
With predictive intelligence, in-vehicle applications will know about upcoming coverage gaps or connectivity issues before they happen, and be able to take …
Is Predictive Routing of Empty Cars the Future of Ridesharing?
Researchers are exploring a new ridesharing model to maximize the availability of vehicles by optimally routing empty