Internet of Things (IoT) Analytics
With IoT anticipated to be heavily reliant on cloud computing, it too could be affected by quantum computing, says NetScout's Ron Lifton. Learn how.
Companies worldwide in every industry are realizing the importance of integrating powerful, connected communications tools with IoT.
Chris Matthieu of Citrix offers his take on IoT technology innovations in 2018 – many of which don't have to be conservative to be credible.
The construction industry can deploy IoT and sensor technology to create advantages related to worker safety, cost reduction and predictive maintenance.
IoT is starting to revolutionize traditional brick-and-mortar retailers, making the retail store of the future a reality today, says Samsung's Ed Abrams.
Artificial intelligence is a hot topic, but as BoldIQ's Roei Ganzarski notes, true AI doesn't exist today; what we're experiencing is augmented intelligence.
AI and edge computing are hot topics, but real-world implementations aren't as simple as they might sound. More With Mobile's Ken Figueredo explains.
Artificial intelligence can help companies find gold, but for successful AI, the data matters more than the algorithm, says Flutura's Rick Harlow.
The next great platform shift is here. Soon, 75% of enterprise-generated data will be created and processed outside traditional data centers and clouds.
With data engineering, the agility and accuracy of your IoT data can grow over time -- along with the business value, says Infostretch's Manish Mistry.
Before extracting value and intelligence from IoT data, companies must understand the difference between content and context relating to an IIoT environment.