The energy and utilities industry is under immense pressure to be more energy efficient, conserve natural resources, and reduce global carbon emission. To accomplish this, the industry is adopting intelligent devices such as smart grids, meters, and appliances that have changed the way people interact with utility assets, companies, and services. This enables the collection of massive amounts of data from devices, which include data on operations, energy consumption, configuration, and power factor. AoT solutions leverage historical patterns of occupancy, people movement, provision of natural lighting, temperature, energy consumption, and other information collected by sensors, smart meters, controllers, and actuators. Based on this data, AoT enables smart insights for intelligent decision-making. The benefits offered by AoT to the energy and utilities industry include asset efficiency analysis, smart grid security and theft detection, root cause analysis, preventive equipment maintenance, correction and exception analysis, demand response management, carbon emission analytics, field service management, and real-time customer billing and provisioning.

IoT Analytics in Energy and Utilities

Comparing 27 vendors in IoT Analytics Software across 237 criteria.
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IBM offers IBM Watson and IBM Bluemix solutions under its IoT Analytics Software. Organizations can make use of Watson IoT, which uses the Bluemix platform to analyze IoT data. Bluemix platform takes data from sensors and sensor-enabled devices and performs analytics on it. The platform makes use of Complex Event Processing (CEP) to analyze real-time streaming data for generating and determining patterns and create insights using business indexes and data streams. Watson AoT processes structured and unstructured data obtained from flat files, in-database, data warehouse, Hadoop, and spreadsheets (IBM SPSS Statistics, Excel files, CSV files, and SAS files). IBM also offers readymade IoT solutions enabling organizations implement it quickly.
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Microsoft offers IoT analytics software through its Azure IoT Suite and Stream Analytics, which are used in various business areas, including banking, financial services, retail, education, healthcare, and marketing sectors. Any device, regardless of the IoT device type or OS can be connected to the Microsoft Azure IoT suite and the cloud, where they can be used to communicate between employees and customers. Microsoft also provides Business Intelligence (BI) tools to gain deeper insights into what employees and customers need, by analyzing the IoT data.
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SAP offers IoT analytics software through the SAP HANA Cloud platform. SAP HANA is being widely accepted by various industry verticals as it can be integrated not only with the social media module in custom Customer Relationship Management (CRM) but also with R and Hadoop to store, pre-process, analyze, and compute data in real-time analysis. The platform helps analyze data from machines, streaming events, and business operations and allows frontline workers to make use of real-time analytics to maintain productivity.
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Oracle provides an IoT platform to develop new IoT services quickly, using Oracle portfolio of products. This enables organizations to handle growing volumes of data, streamline application development and deployment, automate integration of data, and protect the data across the entire IoT value chain. Oracle provides a variety of IoT analytics solutions, including Oracle IoT Cloud Platform as a Service (PaaS) and Oracle IoT applications with built-in analytics for Key Performance Indicators (KPIs), anomaly detection, comparative analytics, and predictive analytics. Oracle also provides an IoT cloud service which is a secure and scalable platform to quickly build and deploy IoT applications, and capture and analyze IoT data.

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Dell Technologies, Inc. is one of the prominent players in IoT analytics software marketplace. The American multinational specializes in digital transformation, IT transformation, security transformation, and workforce transformation. Dell’s enterprise solution includes servers, networking, storage, mobility, and desktop products. Dell provides IoT analytics infrastructure that encompasses Dell IoT platform and similar software, such as edge analytics and Dell Statistica predictive analytics software.
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Hitachi offers Lumada as its core IoT platform. This open source platform enables technologies from Hitachi IoT partner system to integrate and provide numerous solutions for a variety of industrial applications. The company offers various services in the areas of cloud, big data analytics, infrastructure, data protection, and application services. Moreover, it offers software solutions such as Hitachi Content Intelligence, Hitachi Streaming Data Platform, Pentaho Data Integration and Analytics, which can be integrated into Lumada IoT platform.
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HPE provides Vertica Analytics Platform and Universal IoT Platform as its AoT offerings. The platforms offer data visualization for representation of data in pictorial or graphical format and offer in-memory analytics for faster data processing. The platforms are powered with data engines which process thousands of rows, utilizing the full system, for achieving fast query processing. They support a variety of data sources, such as Excel spreadsheets, flat files, and Hadoop.
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Google provides its AoT solution through Google Cloud IoT Core. Google’s global clientele base is spread across various industries, such as automotive, banking, consumer goods, education, energy, engineering, entertainment, environmental, financial services, food, beverage, government, healthcare, insurance, manufacturing, media, retail, technology, telecommunications, transportation, and travel & hospitality. Google Cloud IoT Core offers analytics solutions to enterprises. The company is striving to expand its portfolio with new technological developments. To accomplish this, Google has invested a significant share (15% during the last 3 years) of its revenue on R&D activities.
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Teradata has specialized itself as a leading provider of software solutions and services. Its major offerings include Teradata Database Software, Teradata Workload-Specific Platforms, Teradata Aster Analytics Discovery Platform, Teradata QueryGrid, Teradata Marketing Applications. Apart from software solutions, the company offers Teradata Technology and Implementation services, Teradata Cloud Services, Teradata Managed Services, and customer support and training services.
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GE is at the forefront of converging industrial machines, data, and the internet.The company is putting sensors on jet engines, gas turbines, and other connected devices and connecting it to the internet to analyze the data and gather significant insights from the data. GE provides advisory, education, implementation, and managed services as a part of its service offerings. The company provides Predix platform with a set of rich features that include: Predictive intelligence – provides digital twin technology that forecasts the lifespan of an asset based on machine learning. Provides edge to cloud capabilities that are sending only the relevant data to the cloud to gain significant insights. The software provides scalability of ingesting, processing, and analyzing multi-terabytes streams from millions of assets.
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The Cumulocity IoT from Software AG is an IoT platform which connects any device from any of the cloud platforms and can be integrated with any of the applications. The platform is very quick to start, in just ten minutes and in very simple steps. The platform offers the benefit of not requiring coding and analysis for business users and analysis can be carried out without coding or programming skills. Users require the same APIs, data and analytics models everywhere, in the cloud and on-premises.

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Ericsson provides its analytics of things solution through User & IoT Analytics solutions. The company’s solution provides real-time analytics, massive data analysis, database performance, and protects the user’s privacy. Ericsson's IoT Accelerator offers global connectivity and device management in on a single platform. It reduces the time to market, lowers the risk of investment, and almost eliminates the complexity for IoT applications and services. Ericsson's Smart manufacturing offers a simple, secure and stable connectivity in side the factories. The company's Device Analytics solution enables users to measure their wireless connectivity performance from mobile devices of any kind and sort.
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Tibco IOT Analytics solution gathers data from sensors, combines it, runs logic, and connects to the user's cloud services. It allows the user's edge devices to execute app logic independent of their core systems. Tibco's predictive analytics and modeling tools facilitate users to gain insights on Internet of Things data so that they can act in real time. The solution simplifies connectivity with a flow-based, web UI for building integration applications for Internet of Things edge devices. Project Flogo is the lightest IOT connectivity framework that offers a host of connectity features.
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AGT offers IoT analytics as its predictive analytics offering based on the cloud deployment option. The platform allows an entire new generation of vertical IoT applications that will drive enhanced business processes, resulting in improved value and new revenue streams. The platform also resolves key issues in IoT analytics, data management and visualization, employing solutions that have been tailor made for each application. Also, the platform integrates easily with existing sensors, network infrastructure and end-user applications.
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Salesforce offers Einstein Analytics platform and IoT Cloud both of which have been powered by Thunder Wave Analytics. Einstein analytics platform integrates AI to the analytics workflow, enabling users to automatically create CRM insights. The platform's AI-augmented analytics provide insights about the past, while it also helps businesses in making future decisions. The AI helps optimize marketing campaigns, by recommending actions which improve customer service and boost sales. The platform also comprises specific role based KPIs, giving users access to the newest data from any IoT device. The platform is built on a secure and scalable platform and it offers seamless upgrades to ensure that the technology stays up to date.
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Splunk Enterprise ingests data from applications, sensors, devices, and so on. Post setting up the data sources, Splunk Enterprise indexes the data stream and resolves it into a series of individual events and metrics that the users can view and search. Splunk IAI is an application that the users can use to track asset health, notify on metric anomalies, design custom metrics, conduct root cause analysis for issues across data sources, and measure entire equipment effectiveness in real time. Splunk IoT Platform Data also helps in reducing downtime of critical assets.
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Vitira's platforms offer enhanced customer experience by deliverng a resilient and predictable infrastructure for service delivery that reduces churn and cost of managing increasingly complex environments. The platforms easily manage streaming or batch data from disparate devices and help users in deploying ML and augmented intelligence using VIAs drag and drop libraries. Also, they automate processes and workflows like anomaly detection, incident lifecycle automation, dynamic change management, dynamic failure prediction.
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Greenwave Systems, Inc. is an IoT and machine-to-machine company delivering comprehensive software and services to network architects and service providers to address the interoperability, flexibility, security, and scalability in a single unified IoT solution. The company specializes in offering IoT solutions, managed services, enterprise solutions, network services, home energy management, connected LED lighting solutions, and others.
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RapidMiner has been seamlessly integrated and enhanced for developing ML models. It helps organizations in designing models with the help of a visual workflow designer or automated modeling. The platform collaborates multiple datasets together and creates new columns using a simple expression editor. It automatically creates new features from data to enhance model accuracy. The platform also allows organizations to execute data prep and ETL inside databases to keep their data optimized for advanced analytics.
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