IoT Agenda
Internet of Things (IoT) Analytics
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The top 3 IoMT challenges keeping healthcare IT up at night
- Extreme Networks 23 Apr 2019 -
Invest in a time series database when building your IoT application
- TimescaleDB 19 Apr 2019 -
Are time series databases the key to handling the IoT data deluge?
- InfluxData 18 Apr 2019
IoT technology is being deployed in life-critical situations, placing added pressure on health IT teams to mitigate new risks. Extreme Networks' Mike Leibovitz outlines the top three risks of IoMT ...
Using a time series database, says TimescaleDB's Ajay Kulkarni, IoT organizations can garner insights from connected data to build new features, automate processes and drive efficiency.
The exponential growth of IoT devices and the data they create is presenting a major challenge for database management. InfluxData's David Simmons explains how a time series database can help.
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What you need to know about robotic process automation security
- Blue Prism 17 Apr 2019 -
How accurate is accurate enough when it comes to location data?
- Quuppa 12 Apr 2019 -
How will enterprises consistently adopt IoT and edge computing technologies?
- Veeam 11 Apr 2019 -
Even big cloud providers are embracing edge computing
- ClearSky Data 01 Apr 2019 -
Smart robots take companies from 'business as usual' to 'work like tomorrow'
- Kofax 29 Mar 2019 -
Emerging frameworks for cross-silo IoT data models
- InterDigital 22 Mar 2019 -
Open source technologies for IoT application performance challenges
- GridGain Systems 19 Mar 2019
Robotic process automation offerings vary in quality, design and approach, and many RPA-labeled products, such as RDA, create security risks. Blue Prism's Pat Geary explains why connected-RPA is ...
IoT is changing the definition – and accuracy required – of location data. Measuring this data at meter, sub-meter and even centimeter-level is becoming a reality. Quuppa's Fabio Belloni discusses ...
While IoT and edge computing deployments may seem daunting, many well-known vendors – some of which your organization likely already has relationships with – are ready and willing to help you on ...
Edge computing is a critical component of a hybrid cloud strategy, says ClearSky Data's Laz Vekiarides. Organizations not using this type of strategy may be missing out on the real opportunities ...
Smart robots that combine robotic process automation, AI and machine learning can automate mundane tasks, says Kofax's Chris Huff, allowing human workers to add context, insight and intuition to ...
Having a standardized approach to understanding and interpreting IoT data is key to preventing silos. OneM2M's Chonggang Wang discusses frameworks available for IoT data modelling.
Open source technologies, such as Apache Ignite, Apache Kafka and Kubernetes, can help developers achieve the performance and scale demanding IoT applications require. GridGain's Nikita Ivanov ...
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Reinvention in the age of AI
- Equinix 18 Mar 2019 -
Mind the IoT gap: Interoperability is key
- OSIsoft 18 Mar 2019 -
Security remains top concern of enterprise IoT customers
- Bain & Company 14 Mar 2019 -
IoT in sports: Can we use tech to create superfans?
- Pivot3 14 Mar 2019 -
Questions for IIoT edge computing implementation success
- Stratus Technologies 08 Mar 2019
While technology may disrupt how things were done in the past, it opens doors to new opportunities and skills. Equinix's Chiaren Cushing explains the power of AI to augment humans and create new ...
A digital transformation requires data. However, that data is also often the roadblock to success. OSIsoft's Richard Beeson outlines why inding the IoT gap starts with breaking down silos and ...
A recent survey found that customers' worries about IoT deployments remain the same as years past: security, integration and ROI. Bain & Company's Ann Bosche explains.
To overcome declining ticket sales and rival the in-home viewing experience, smart stadiums are adopting IoT technology to revolutionize the fan experience – and also fine-tine player performance. ...
Stratus Technologies' John Fryer offers the three main questions companies should ask when undergoing an IIoT edge computing implementation to ensure success.