IoT Agenda
Internet of Things (IoT) Analytics
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Defending Industrial IoT – the truth lies in the data
- Bitdefender 31 Jul 2019 -
Software is devouring the edge -- are you ready?
- AppDynamics 26 Jul 2019 -
Think before you deploy: the before, during and after of IoT data
- InfluxData 25 Jul 2019
Network traffic analytics could be the key to effectively protect IoT devices from cyber-risk. Bitdefender's Gavin Hill discusses the potential aftermath of a cyberattack and how to prevent it.
Organizations will bring compute and storage systems to the edge as the demands on bandwidth increase and response times slow. AppDynamics' AJ Jindal explains how edge computing technology reduces ...
Data presents the greatest value in IoT, but also one of its biggest challenges. InfluxData's David Simmons discusses how to design with data in mind and manage the data deluge.
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Optimize the customer experience with intelligent automation
- Kofax 23 Jul 2019 -
Overcome water and energy challenges with IoT
- Silicon Laboratories 22 Jul 2019 -
Beyond smart cities: Driving social change with IoT and analytics
- Hitachi Vantara 19 Jul 2019 -
Machine learning tips to build a facial recognition tool
- Exadel, Inc. 17 Jul 2019 -
IoT investment has to begin now
- Kinetica 16 Jul 2019 -
Three Es of AI: First an intro to ethical artificial intelligence
- FICO 16 Jul 2019 -
Data transfers present an escalating challenge for IoT deployments
- Canonical 12 Jul 2019
Intelligent automation and IoT data work together to optimize information-intensive processes. Kofax's Chris Huff says these two pieces are key to creating a better customer experience.
Even though IoT inspires visions of smart lights, thermostats and other technology that requires less effort for users, Silicon Labs' Asem Elshimi asks IT pros to think of the greater good IoT can ...
A state government in India is taking a data-driven, pragmatic approach to solving grand human challenges. Hitachi Vantara's Justin Bean explains how governments around the world can learn from ...
Organizations must train their machine learning models to create real-world applications, such as facial recognition check-ins. Exadel's Jonathan Fries discusses the do's and don'ts of using ...
The IoT market will continue to see rapid growth for the next few years, so Kinetica's Nima Negahban advises that organizations take advantage of potential returns and invest in IoT now.
Any data scientist would want to remove bias from their machine learning model. FICO's Scott Zoldi reminds organizations that it's easy to forget biases can be imputed from the confounding variables.
Organizations must find more efficient ways to process data as the number of edge IoT devices increases. Canonical's Tom Canning explains how snap deltas work to reduce the size of data transfers.
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Smart devices should drive processing power to the network edge
- Stratus Technologies 11 Jul 2019 -
What we can expect to see from edge computing in IoT in the coming years
- Actian 03 Jul 2019 -
Top 3 secrets to enterprise IoT project success from industry titans
- Equinix 03 Jul 2019 -
A sense of place: How IoT sensor data powers smart cities
- Geotab 02 Jul 2019 -
The reality of IoT edge processing: We're getting warmer
- Rocket Wagon Venture Studios 02 Jul 2019
Smart devices have changed the way that consumers live, but the technology has the greatest potential at the edge of industrial organizations, Stratus Technologies' Jason Andersen explains.
Edge computing could generate more than half of all organization-generated data within the next few years. Actian's Lewis Carr speculates on the changes edge computing will spur in IoT.
Following a series of panels with technology leaders, Equinix's Chiaren Cushing outlines the top recurring IoT themes to help enterprises ensure the success of their connected projects.
A smart city is smart because of its data. IoT sensors are key to the smart city data puzzle, explains Geotab's Mike Branch, enabling cities to be more proactive and provide better quality of life ...
The need for IoT edge processing is real, but we're not quite there yet in terms of deployment. Rocket Wagon Venture Studios' Don DeLoach explains how edge processing and a good data set will ...