Longer  term we see apps and services playing a much more significant role as devices themselves become more utilitarian in nature. Although there are ample more industries and use cases where AI and IoT de facto are already converged or converging and there certainly is a lot more to be said on the level of technological aspects, including challenges of bringing AI to the edge, we look at a final area before summing up some main cross-industry use cases. This is important as IoT is anticipated to be very widespread in scope, impacting virtually every industry vertical. Big Data), the leveraging of analytics tools to derive value, and the integration between Cloud, Internet of Things (IoT), and enterprise operational technology are key focus areas for large companies across virtually every industry vertical. Issues like detecting unbalanced load on the production line and analyzing products that may be faulty can be tackled easily from one central control bay. Emerging technologies in IoT and IIoT, such as edge computing, are helping companies of every size and vertical to successfully convert into digital disruptors. • Publication date: 3rd quarter of 2018, M. Shamim Hossain (Leading Guest Editor) This segment has the potential for massive transformation in many industries.

• Dynamic resource provisioning on IoT- cloud for mobile healthcare This architecture allows the peaceful co-ordination of the two technologies in an operational field. ), Cloud Technologies, and IoT. Furthermore, it expects smart machines to be the most disruptive class of technologies over the coming decade. csxu@nlpr.ia.ac.cn, Manzur Murshed Factory equipment management uses IoT-enabled sensors to monitor and track manufacturing equipment to optimize performance and prevent downtime. It’s relatively obvious that they all work side by side with, for instance IoT and AI. ), Personal Consumer Electronics (Wireless IP Camera, Smartphone, Tablet, Portable Media Players, Navigation Devices, etc. Existing User Interfaces (UI) do not scale very well. The role of IoT, AI and the ‘converging’ usage of both however doesn’t stop with finding new cures, even as the first smart pills are getting approved. Merging these two areas requires well-defined, scalable standards that span from assets to data centers and vice-versa. Others, such as quantum computing and more yet to be named, may shift development paradigms as well.”. The need for more efficient cellular IoT deployments is on the rise as rollouts experience delays amidst pandemic limitations. Referring back to IDC: as written before in a context of the DX economy, the research firm already predicted in 2016 that by 2019 100% of all effective IoT efforts – would be supported by cognitive/AI capabilities. But what looks like just another evolution at first glance is actually the clash of two very different worlds – both aiming to shape the smart factory of the future. In building management, intelligence (AI) is moving to the edge at various levels. Put your IT team in the best position to succeed with AI. Thirdly, on top of a combined view on IoT and AI (whereby the use cases of course matter), there are far more combinations: IoT and blockchain, AI and robotics, IoT, blockchain AND AI; you can pretty much combine everything. With a focus on patient-centricity, access to healthcare, cost of healthcare (both for patients and delivery) and healthcare quality, measured on patient outcomes and ‘population health’ as Schneider Electric’s Lead Healthcare Solution Architect Christopher Roberts sums up the priorities, AI and IoT already work together in the scope of the interoperability and data exchange between all healthcare facility centers, enabling facility operators to have a clear concise view of what is happening within the facility in real-time – and act upon it. Wearable technology is increasingly becoming an important medium for communication, infotainment services, health solution, textile, military, and industrial solutions. AI technology provides the means to further automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements. IoTDaaS constitutes retrieving, storing, and analyzing information and provides customers either of the three or integrated service packages depending on the budget and the requirement. The question is not if and why IoT and AI simply need each other but where the most meaningful purposes across industries and use cases, including the development of new services and, last but not least, customer, worker, operator and patient experiences. In fact, AI and IoT are poised to become cornerstones in the whole emerging facility optimization software notion. And IoT is the mother of massive real-world data generation. AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. Connected Automobiles refers to the use of IoT and broadband communications (LTE, WiFi, and soon 5G) technology in the car with the use of smartphones or other technologies typically manifest as handheld or wearable devices. Due to migration of article submission systems, please check the status of your submitted manuscript in the relevant system below: Once production of your article has started, you can track the status of your article via Track Your Accepted Article. All of these actions do not need people. • IoT-Cloud-supported Serious games or Exergames for Smart care. The Internet of Things (IoT) intensifies this need as machines interact with other machines and humans autonomously. Leveraging various technologies such as directional antennas, millimeter wave RF, and edge computing solutions, 5G network provides much higher data rates (in a range of several gigabits per second) as compared to 4G/LTE. Sign-up now. For more examples (e.g. Gartner puts cognitive computing, AI, intelligent automation, machine learning and deep learning under the smart machines umbrella. Executives have understood this evolution although of course not all possibilities are seen yet. • Notification of final decision: May 7, 2018 It is not a matter of if, but of when; AI will have a huge impact on the world economy. IoT is an integral component of the global Smart City trend.

It’s clear that with RTHS (Real-time Health Systems), the increasing usage of robotics in healthcare, smart beds in smart hospitals, remote healthcare and so forth the combined usage of AI and IoT in the digital transformation of healthcare will only grow. IoT in Healthcare is another promising example.

Submit your e-mail address below. And currently, there is a public argument about the risks and future of AI going between billionaires Facebook founder Mark Zuckerberg and Tesla, SpaceX and Neuralink founder Elon Musk. May 30, 2019 R45746. Moreover, as Ovum stated, IoT and connected systems drive the adoption of AI as intelligent automation is needed to make sense of the big data that is generated from sensors. Mind Commerce research practice focuses on the convergence of Artificial Intelligence, Broadband Wireless, Cloud Computing, and IoT. There is a need to look beyond smart factories, intelligent products and services towards enterprise as a whole and the unique benefits of high capacity urban wireless applications. Equally important, 5G will provide ultra-low latency (less than 1 millisecond delay) required for certain portable or mobile apps and services such as industrial automation, robotics, haptic Internet, and virtual reality. Smart) Homes represent an Internet connected residences that provide an enhanced lifestyle for its occupants by way of home automation as well as enhanced information, entertainment, and safety services. The management of unstructured data (e.g. An example of digital convergence is our smart phone which combines many digital functions into one device. It’s a gradual movement from automation to autonomy on the level of specific assets in manufacturing IoT and beyond: smart buildings, home automation, oil and gas operations, supply chains, robotics, the list goes on. Quote from the blog announcing the research (where the image above also comes from that shows what reinventors think about the combined benefits of AI and IoT; the blog explains what reinventors are with another image): top achievers capture all forms of data from a variety of interconnected devices and use AI-based applications to plumb that data to reach new levels of operational and financial proficiency. So, it works in two directions from the ‘physical’ device (machine, actuator etc.) Network convergence is the efficient coexistence of telephone, video and data communication within a single network.

From computer vision to deep learning, from 3D printing to high performance embedded chips, many of these will see uptake prior to and alongside mainstream blockchain adoption. MethodsX co-submission The convergence of the Internet of Things and Cloud for Smart Healthcare With the development of smart sensorial media, things, and cloud technologies, “Smart healthcare” is getting remarkable consideration from the academia, the governments, the industry, and from the healthcare community. This created a mainstreaming moment when it was obvious and understandable that machines could be trained to do things better than humans.

AI isn’t science fiction any more. The fact that in many industries and for many organizations IoT and AI are still relatively new, whereas in others they are not. ambient environment). There are certain challenges to IT/OT convergence. Mind Commerce differentiates itself from its competition by meeting the unique needs of its clients through customized product development and service delivery. In an interview conducted in the Spring of 2017, Herman De Prins, CIO at Belgian biopharma company UCB, explained how research data increasingly include data generated by wearables (connected devices), patient data captured by clinicians and genetic data, on top of clinical trial data. Or take contact center applications which aggregate various types of data from various types of sources in various types of formats and bring them to the contact center agent who can then really serve a customer with the key of service at his/her fingertips: end-to-end information and insights, possibly with a twist of, for instance, sentiment analysis, when social channels are brought into the equation. The consequence? When IDC looked at the market of AI and cognitive in September 2017, the company’s research director David Schubmehl stated that cognitive and AI technology and solutions are weaving into an ever broader and wider array of applications and use cases as mentioned in our IoT guide.


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