Internet of Things (IoT) Analytics
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.
Fleet vehicles and managers, get ready for an upgrade. Jooycar's María Paz Gillet Martín explains three ways big data and IoT are affecting fleet management.
A successful industrial IoT deployment requires the right mix of customer experience and data utilization. Voxpro's Brian Hannon offers advice to help customer experience teams prepare support for ...
Today's auto manufacturers are using IIoT in response to demands for more customization. Infor's Jeff Nedwick explains.
When you combine blockchain, AI and automobiles, an auditable 'time chain of events' can be recorded. FICO's Scott Zoldi discusses the uses and benefits.
The opportunities of IoT in e-commerce logistics are unlimited. Aankhen's Subhash Chowdary explains, offering examples of success and an IoT case study.
Bsquare's Dave McCarthy discusses five critical ways adaptive diagnostics is helping improve repair of mission-critical equipment.
As environmental models and IoT sensors advance, explains Esurance's Haden Kirkpatrick, we'll not only know earlier when a disaster will strike, but also the preciseness of its impact.
Nexsoftsys' James Warner discusses three use cases where streaming analytics has a bright future, but has not quite taken off yet.
Nearly 99% of all IoT data collected is wasted – but why? HarperDB's Stephen Goldberg explains why the data management industry must transform to solve the problem.
Splunk's Erick Dean offers five key technology trends Industry 4.0 is talking about today that are making manufacturers rethink planned versus unplanned maintenance.
The cloud is absolutely a necessary piece of IIoT deployments, says Stratus' Jason Andersen, but that doesn't mean you should abandon edge computing systems.
The right technology can help keep small- and medium-sized oil and gas producers in the game. However, as FreeWave's Scott Allen explains, connecting intelligent systems with the right technology ...
IoT-enabled home devices and sensors generate valuable insights for consumers, says Earth Networks' Amena Ali. Here are three key outcomes of IoT improving customer experience.
Organizations today need data scientists to analyze the business intelligence provided by IoT data. However, as TIBCO's Mark Palmer explains, more people need to become stats-savvy to benefit.
To create a world of seamless exchange between people, networks, devices and applications, IoT in concert with AI is critical, says Tata Communications' Tim Sherwood.
As connected car technology advances, so will the safety features for vehicles. Here is how IoT and big data are changing vehicle safety and what we can expect for the future.
Asset utilization has become a top business IoT use case. Bsquare's Dave McCarthy offers three benefits beyond the usual suspects of asset utilization data.
To get greater value from the IoT data gathered, smart cities will have to transition from a data exchange to a data marketplace, says More With Mobile's Ken Figueredo.
Surveillance isn't just about security any longer, says Western Digital's Chris Bergey, it's about extracting value and intelligence, making smart video a reality.
Thanks to IoT, the insurance industry is revolutionizing how it assesses risks and pricing to a model based on real-life data. Jooycar's María Paz Gillet Martín explains.
Taking a proactive approach to maintenance with IoT, versus a reactive one, can save industrial organizations time and money. Splunk's Erick Dean discusses.
The internet of things is changing how machines run and are serviced – but what does it mean for the field service technicians doing the fixing? ServiceMax's Athani Krishna discusses.
A standardized and connected ecosystem can provide easy and seamless access to one critical industry: healthcare. Zephyr Health's William King outlines three critical value drivers of healthcare IoT.
The industrial IoT age is upon us. And as Mobiliya's Krish Kupathil explains, there is more than one way IIoT will accelerate growth, transform economies and create a new level of competitiveness.
Edge computing is rapidly being recognized as a necessity for implementing several industrial IoT use cases, explains MapR Technologies' Will Ochandarena.
What is the ultimate holy grail of IoT-driven business value, and can IoT platforms deliver on this value? Hitachi Consulting's Rajesh Devnani discusses.
Roambee's Sanjay Sharma explains why taking a connected things approach to fleet management -- versus a connected fleet approach -- helps better track the health of shipments.
Vision is undoubtedly one of the most important human sensing abilities. Now, the use of embedded vision is helping devices, objects and things "see," analyze and interpret.
While many factory leaders are wary of the cloud, rejecting its use can hinder the ability to gain the benefits from smart manufacturing and IIoT.
Insights gleaned from IoT data are changing business models, and no other sector has been impacted by the IoT transformation more than manufacturing.
Machine learning is a hot topic nowadays. Mark Troester of Progress explains how machines learn, and how it may impact your AI and machine learning strategies.
The success of connected and autonomous cars requires a fundamental shift in the data platforms used to support them. MapR's Crystal Valentine discusses.
Many consumer IoT companies have struggled to monetize their offerings as effectively as their industrial IoT peers, but connected cars have found the exception.
LogiNext's Manisha Raisinghani explains how machine learning and the Kalman filter helped the company improve the accuracy of location data.
Timely, reliable, accessible, trustworthy analytics is the future battlefield on which IoT wars will ultimately be won or lost.
Hitachi Vantara's Greg Knieriemen discusses five ways IoT will permanently change the manufacturing for the better, from improved operational efficiency to improving safety.
Are behavioral analytics for IoT and autonomous cars key to keeping the roadways safe? FICO's Scott Zoldi discusses the treasure trove of data onboard sensors generate.
Mark Troester of Progress explores the convergence of today's digital trends -- AI, IoT and digital transformation -- and what it means for your business.
Striim CTO Steve Wilkes discusses the three primary challenges of IoT data management and the importance of a streaming-first architecture.
Analytics is the tool for improving our IoT tools, says Greenwave Systems' Jim Hunter, it's what makes our technology better at serving us.
In 2018, IoT data paired with machine learning and end-to-end service visibility will become key determiners for success.
While reflecting on this year, whether the IoT predictions we all made last year came true and looking into the future, a few things stand out to me. First and foremost, companies realizing early ...
As systems become more intelligent, they evolve to a point where the user or administrator should integrate them into the decision-making process.
Bsquare's Dave McCarthy discusses three valuable lessons from businesses that have cracked open their IIoT data and are in the trenches of Industry 4.0.
Service relationship management, or SRM, is critical to deriving insights from IoT deployments. Decisiv's Dick Hyatt explains why.
IoT World's Gavin Whitechurch explains why IoT data and AI are going to be critical in the next generation of technology-oriented enterprises.
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.
Managed service providers can deliver the intelligence, skills and experience needed for a successful and secure IoT deployment.
Following these three steps, IT leaders can consider the progressions of IoT data and edge computing and prepare for their widespread arrival.
Hurricanes wreak havoc on people and economies. But as Arup Barat of infiswift notes, IoT can help better prepare and respond to natural disasters.
Digital transformation can't thrive unless your organization has a culture that's willing and able to embrace it, says GE Digital's Jason Cline.
Industrial enterprises are realizing the value of IIoT data and analytics, says Stratus Technologies' Jason Andersen. Here are four phases to IIoT infrastructure.
Read a brief case study from Flutura's Rick Harlow examining how IIoT in combination with AR/VR can provide real savings to organizations.
FogHorn's Sastry Malladi explains the basics of fog computing, exploring why it is critical for IoT success in resource-constrained environments.
One of the most impactful areas of IoT, says OnProcess Technology's Sarah Hatfield, is in spare parts inventory management, a key aspect of the post-sale supply chain.
IoT-enabled predictive maintenance helps public transport companies tailor vehicle reparations and speed up downtime. Yenlo's Ruben van der Zwan discusses.
UPS achieved immense savings by making an incredibly simple change. Athani Krishnaprasad explains how to apply UPS' thinking to your organization.
Drone-scale computing requires new thinking, says TIBCO's Mark Palmer, and streaming analytics and AI are key to the equation.
Without a clear ROI, IoT may never make an impact. Mindtree's Srinivas Bhagavatula offers five questions to ask when determining the business case for IoT.
Evaluating managed IoT service providers? Frank Greer of Zipit Wireless offers questions to ask to ensure you find the best for your enterprise's needs.
By thinking things through, keeping an eye towards the future and investing time and resources into planning now, we will see the lasting potential of a truly smart city.
Instituting service relationship management in IIoT systems can reduce downtime and repair costs while improving productivity and efficiency.
It is at the intersection of the virtual and physical worlds, meaningful transformation begins ushering in an entirely new era: the Emergent Era.
Turning IoT data into actionable insights requires an integrated approach. Mark Troester of Progress explains how it can be done.
Domotic data can be gleaned from smart home devices to benefit a number of applications, explains Raoul Wijgergangs of Z-Wave, Sigma Designs
Navigating the uncharted ocean of IoT big data is exciting and challenging. Rick Harlow of Flutura mapped out seven core IIoT big data use cases to help.
When it comes to IoT adoption, there are four distinct waves. Pavan Singh takes a look at the state of IoT adoption today.
Chris Drake, CTO of oneM2M and iconectiv, explains why semantic interoperability is key to realizing large-scale IoT operations that deliver true value.
Artificial intelligence and machine learning are critical to the success of 'the internet of energy,' explains Stuart Gillen of SparkCognition.
In order to bridge the gap separating IT and OT teams, says Jason Andersen of Stratus Technologies, a new breed of 'hybrid OT' professionals is emerging.
To uncover how to improve security with AI, we must first consider that the way we perform security operations is broken, says Greg Martin, CEO of JASK.
With IoT to aid them, farm owners are maintaining data more accurately for farm animals and increasing their productivity, paving way for precision farming.
When data can be effectively used to guide actions and gain useful insights, it's an increasingly large part of a technology company's value.
Artificial intelligence-powered tools are providing criminals an easy way to forge audio and video files. Beware; identity theft and fake info will rise.
Machine learning's promise of improving asset management is what keeps the spark going, says Saviant Consulting's Yatish Patil.
Like baseball GMs, says Red Hat's James Kirkland, OT teams are hoping IoT will improve their chances at a hitting a home run at every at-bat.
To realize significant value over time, your organization's IoT offering should implement learning loops to adapt and evolve, says Bright Wolf co-founder James Branigan.
The industrial internet of things is investing billions into healthcare artificial intelligence. IBM's Watson is developing different innovations.
A connected city isn't the same thing as a smart city. Zachary Rudzki, manager at TechNexus, explains the difference.
Choosing an industrial AI-driven IoT platform isn't easy; Flutura's Rick Harlow offers 21 questions to ask to find the best one for your IIoT initiative.
Pest control is an area where IoT isn't often considered, but should be according to infiswift chief commercial officer Arup Barat.
When it comes to IoT ecosystems, we've been living on the edge for too long now. Uday Davuluru of Lemonbeat GmbH says it's time to move closer to it.
CERN is exploring the capabilities of AI to provide protection to the world's largest particle collider. Research and training of the AI is underway.
The cloud can't process data quickly enough for IoT applications. OIES Consulting's Francisco Maroto discusses how fog/edge is stepping up to the plate.