Internet of Things (IoT) Analytics
With high-octane, real-time data collection, IoT devices are helping change the definition of data-driven marketing. Esurance's Haden Kirkpatrick explains.
Connecting machines is just the first stage of getting insight, says OIES Consulting's Francisco Maroto. The real value comes when you combine IoT and AI.
It will not be long before we meet new billionaires sprouting from the AI and IoT communities as the technology advances and generates mountains of useful data, says Dogtown Media's Marc Fischer.
If you haven't already, consider integrating IoT into your customer experience, says Mitel's Bob Agnes, but be sure to find the right balance between using the technology and adding a human touch.
Splunk's Erick Dean offers his five biggest takeaways from the 'World's Largest Industrial Fair" -- Hannover Messe, from machine data's impact to the need for smart analytics.
Nearly 40% of the fresh food produced in the U.S. is wasted. With all the technology available today, how can the food supply chain be so inefficient? Zest Labs' Peter Mehring describes how IoT can ...
The benefits of using camera networks for IoT go far beyond security. Axis Communications' Fredrik Nilsson outlines why using camera networks for sensor networks makes sense in the connected world.
Smart machines will make our world much better, says RTI's Stan Schneider. The smart machine era will be liberating in ways we cannot imagine today.
There are numerous benefits of adopting IoT, but doing so without a sound plan often ends in disaster. Software AG's Bernd Gross offers three steps to successfully implement enterprise IoT.
While personalizing medicine with IoT in healthcare is revolutionizing experiences for doctors and patients alike, Deloitte's Helena Lisachuk explains why connected health is not without its ...
Current cloud offerings are not adequate to address the IoT and edge market. MapR's Anoop Dawar explains the cloud battle and offers principles to help organizations reinvent their IoT edge systems.
OpenFog Consortium's Lynne Canavan explains why fog computing is critical to the future of AI, IoT and 5G, offering examples and use cases, as well as the SCALE model for fog deployment.
To reap the rewards of an enterprise IoT ecosystem, says Marlabs' Jojith Rajan, analytics paired with artificial intelligence, machine learning, predictive analytics and digital twins are critical.
IoT requires a critical technology infrastructure reinvention, which can be enabled only by HTAP powered by in-memory computing. GridGain Systems' Nikita Ivanov explains.
There are scores of approaches to achieving exceptional customer experience, says ServiceChannel's Hugues Meyrath, with the application of IoT and data analytics being a key one.