AI in IoT is the amalgamation of AI technologies with IoT infrastructure to achieve efficient IoT operations. Major IoT vendors are integrating AI capabilities, such as ML-based analytics, into their solutions to fetch critical business insights from a huge pile of data generated by IoT devices. The IoT solutions integrated with AI capabilities help enterprises across major verticals to become proactive instead of reactive, thus replacing traditional business intelligence tools for analyzing IoT data with advanced tools. This, in turn, help make operational predictions with enhanced agility and accuracy, and improve human-machine interactions.
The MicroQuadrant matrix provides information about the major players who offer AI in IOT/ Industrial IoT Solutions. It outlines the findings and analysis on how well each market vendor performs within the predefined MicroQuadrant criteria. The vendor evaluations are based on 2 broad categories: strength of product portfolio and business strategy excellence. Each category carries various criteria based on which the vendors have been evaluated. The evaluation criteria considered under strength of product portfolio include the breadth and depth of product offering (on the basis of the industries that the vendors cater to, deployment models, and subscriptions), product feature and functionality, product quality and reliability, and focus on product innovation (on the basis of R&D activities for new product innovation). The evaluation criteria considered under business strategy excellence include vision alignment, effectiveness of growth strategy (on the basis of partnerships, collaborations, and acquisitions), channel strategy and fit (on the basis of the channel partners that the vendors cater to), and geographic footprint (on the basis of geographic presence).
Vendors considered in this category, generally receive high scores for most of the evaluation criteria. They have a strong and established product portfolio with a very strong market presence. Visionary leaders provide mature and reputable products and services, and have strong business strategies. IBM, PTC, Microsoft Google, SAP, Hitachi and AWS are recognized as visionary leaders in this market.
They are established vendors with strong business strategies. However, they are low in their product portfolios. They focus on specific type of technology related to the product. Siemens, GE, and Oracle are the vendors who fall into the dynamic differentiators’ category.
Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. They have a much-focused product portfolio. However, they do not have a strong growth strategy for their overall business. C3 IoT, Atos, SAS, Software AG, Uptake, Softweb solutions, Altizon, and Flutura, are the vendors who fall into the innovator's category.
They are vendors with niche product offerings and are starting to gain their position in the market. They do not have much strong business strategies, as compared to other established vendors. They might be new entrants in the market and require some more time to get significant traction in the market. QiO Technologies, Arundo, Sight Machine, Thingstel, Canvass Analytics, Kairos, and Autoplant Systems Pvt Ltd., are the vendors who fall into the emerging companies’ category.
AI in IOT/ Industrial IoT Solutions
Watson IoT solutions for industrial equipment helps to establish IoT connectivity across business, and analyze factory floor and equipment data in real-time. Improve quality control, reduce downtime, predict failures and enhance the safety and experience of employees – on premises or in the field. Watson IoT Platform and its additional add on services - Blockchain service and analytic service - allow organizations to catch and discover data for devices, equipment, and machines, and discover insights that can drive better decision-making.
PTC's ThingWorx IIoT platform is designed for quickly developing industrial IoT solutions, with the capability to scale strongly from the cloud to the edge. A new, centralized, cloud-based portal enables system administrators to efficiently discover, deploy, and manage ThingWorx applications across the enterprise with ease from a single location. Deployments of any size and scale are automated and managed with speed and repeatability, accelerating the value of ThingWorx throughout the enterprise to foster maximum productivity.
Microsoft’s Azure IoT solutions for discrete manufacturing increase operational efficiency while creating new revenue streams that keep pace with customer needs. It provides solutions that support brownfield connectivity, prevent vendor lock-in and enable interoperability for industrial environments. Provides support for the duration of factory’s lifespan and IoT solutions based on open standards.
Google along with FogHorn will be providing industrial IoT (IIoT) solutions and maximize the business value derived from the IoT. Google Cloud will integrate its IoT Core managed platform with Foghorn's Lighting Edge Intelligence edge computing platform. Integration between the companies' offerings will give customers added flexibility when processing and analyzing the IIoT data.
SAP provides a wide range of solutions in IoT technology and smart business applications. SAP solutions drive ROI by collaborating with industry experts, consultants, and support engineers to receive guidance, prescriptive best practices, and expertise. Other solutions include edge services which provide better insights according to the business needs and SAP cloud platform which is highly secured platform and can be accessed from remote locations.
Hitachi provides IoT solutions with a product called Lumada. The product helps to enable internet of things (IoT) solution to deliver high-value outcomes. Uses the power of actionable data insights from Lumada applications, edge intelligence and co-creation services to improve efficiency.
AWS IoT helps customers improve the performance and productivity of industrial processes. AWS IoT provides a range of services specifically designed to make it easy to collect, store, and analyze device data even in noisy, unreliable environments. AWS IoT makes it easy for customers to secure device fleets at scale with built-in device authentication and authorization to keep IIoT data and devices protected.
Oracle brings a new approach to Industry 4.0 by embedding insights from Oracle’s IoT Cloud applications, advanced machine learning, artificial intelligence, and blockchain into Oracle’s supply chain management cloud suite to enable new possibilities in manufacturing and supply chain efficiency. Oracle makes Internet of Things deployment simpler with new capabilities that improve efficiency and provide faster return on investment.
The C3 AI Suite™ is software that uses a simulation-propelled architecture to speed up delivery and decrease the difficulties of creating enterprise-scale AI applications. The C3 AI Suite facilitates organizations to distribute AI-enabled applications quicker than alternative methods while reducing the technical liability from preserving and improving these applications.
MindSphere is the cloud-based IoT open working framework from Siemens. It associates items, plants, frameworks, and machines, empowering clients to bridle the abundance of information with cutting edge examination. What's more, it gives clients access to a developing number of applications and a powerful advancement biological system. MindSphere works with all mainstream internet browsers.
Digital technology solutions and industrial IoT at Software AG can help manufacturers become more responsive to their customers - turning real-time insights from sensors and devices into actionable intelligence. Cumulocity IoT is ideal for simplifying an IoT project. It is faster and less complex and save significant time and money in deployment.
Industry 4.0 and the Industrial Internet of Things solution from Atos facilitates interaction between machines, products, people, processes and enterprises triggers positive change at every level. The solution has the ultimate goal of creating value from insight generated by connected assets throughout the product lifecycle, manufacturing and supply chain.
Predix Platform is an accessible, asset-centric data base, it is a thorough and reliable application platform that can run, scale, and extend digital industrial solutions. The platform provides shared capabilities that industrial applications require: asset connectivity, edge technologies, analytics and machine learning, big data processing, and asset-centric digital twins. Intended as a distributed application platform, Predix Platform is enhanced for high volume, low latency, and integration-intensive data controlling and analytics-driven results.
Asset IO from UPTAKE provide solutions to the industries where the machines are used at higher frequencies and maintenance costs are higher. Uptakes’ ASL (Asset Strategy Library) is the world’s largest knowledge base of assets, failure modes and maintenance strategies. Used to help cost-optimize maintenance without taking on more risk. Asset IO uses AI to give a new dimension to Asset Performance Management.
SAS empowers organizations to create and sustain true value from diverse IoT data and initiatives – whether that data is at the edge, in the cloud or anywhere in between. The robust, scalable and open edge-to-enterprise platform bridges IT and operational environments, while spanning the entire analytics life cycle. SAS delivers deep expertise in IoT analytics – including AI, machine learning and deep learning – to help users reduce risk and gain real business value.
Datonis IoT platform from ALTIZON is a highly accessible, cloud-based IoT platform that permits devices to securely link and exchange data in real-time. Manage, control and upgrade edge devices from the cloud. Examine machine data in real-time and set alerts and notifications to know when faults occur. Leverage the power of machine learning to build data models on machine data and predict outcomes. It allows integration with the enterprise ERP.
Flutura Solutions provide Cerebra, an AI platform designed for Industrial IoT. Cerebra is the award-winning IoT platform assisting industries to fast-track revenue increase, profit creation, and cost savings. Cerebra has the enhanced capabilities to combine physics, heuristics and Machine Learning centered models to create actionable business understandings.
QiO Foresight IIoT is built from the ground up by industrial engineers for industrial engineers to dramatically improve operational efficiency, productivity, and safety. Applications are infused with artificial intelligence, provide smart automated workflows for team collaboration and scale across production and supply chain. The platform is built to securely accommodate any data, any asset, any source, at any scale, and on any cloud – edge, private, hybrid or public.
Smart Solutions suite from Softweb Solutions is a complete industrial IoT platform for enterprises to transform the business to smart AI driven business with operational excellence and time efficiency. The solutions help a business to transform its processes in terms of operations, co-ordination and outcomes. Softweb provides best-of-breed AI software for IoT applications, along with providing data services and digital transformation to enterprises.
Autoplant is a leading industrial IoT enabler, offering a full suite of Logistics Management Solutions and Products. The suit helps companies to run their business with highest efficiency with the use of its advance analytics capabilities, machine learning and mobility platforms.
Arundo’s Marathon Suite provides powerful insights to the manufacturing industry to keep the assets running. It improves the uptime, increases productivity and reduces the costs associated with the running of machines. Marathon enables equipment operators, production engineers and maintenance managers to achieve higher levels of asset availability and reliability. Equipment monitoring dashboard with configurable threshold alerts, Anomaly detection alerts and investigation workflows, Equipment health assessment are some of the key capabilities of the marathon suite.
Sight Machine allows companies to achieve real-time visibility and actionable perceptions for every part, machine, line, and plant throughout a manufacturing enterprise. The analytics platform enables manufacturers to use all of their data—no matter where or in what format it’s created. This is done with an automated and systematic data intake process that acquires, refines, and contextualizes data, creating a digital twin of each part and process. Sight Machine is the industry’s only AI Data Pipeline and manufacturing plant Digital Twin.
Canvass facilitates smart industrial operations with its AI-driven Industrial IoT platform that quickens objective-important judgment creating to reduce energy consumption, improve throughput, reduce downtime and expand the lifetime of a plant’s assets.
Thingstel’s Industrial Solution allows user to remotely monitor the status of the machines, get alters/notifications for alarm triggers and have a predictive maintenance model to do a future prediction for any anomalies. With the use of a Mobile and a Web Applications operators/users would be able to access important data in near real time. Thingstel has built a machine learning model on Google TensorFlow to do process and maintenance related predictions.
