AI Companies for Business intelligence and analytics

Explore AI vendor companies offering business intelligence and analytics solutions, including applications in forecasting, predictive analytics, text analysis, and more.

Microsoft Azure

Description: Microsoft Azure is a cloud computing service created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides software as a service, platform as a service and infrastructure as a service and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Products: Compute: With support for Linux, Windows Server, SQL Server, Oracle, IBM, and SAP, Azure Virtual Machines gives you the flexibility of virtualisation for a wide range of computing solutions—development and testing, running applications, and extending your datacenter. It is the freedom of open-source software configured the way you need it. It is as if it was another rack in your datacenter, giving you the power to deploy an application in minutes instead of weeks. Networking: Azure Virtual Network provides an isolated and secure environment to run your virtual machines and applications. You can use your private IP addresses and define subnets, access control policies and more. With Virtual Networks, you can treat Azure just as you would treat your own datacenter. Blob storage: With exabytes of capacity and massive scalability, Azure Blob storage easily and cost-effectively stores from hundreds to billions of objects, in hot or cool tiers depending on how frequently data access is needed. Store any type of unstructured data—images, videos, audio, documents and more. App Service: Integrate App Service into your existing frameworks, languages and tooling to accelerate your development. Rapidly build, deploy and manage powerful web, mobile and API apps for employees or customers using a single back-end. Build standards-based web apps and APIs using .NET, Java, Node.js, PHP and Python. SQL Database: Make building and maintaining applications easier and more productive. With built-in intelligence that learns app patterns and adapts to maximise performance, reliability and data protection, SQL Database is a cloud database built for developers.


Description: Uptake is a platform of answers built for industry, with industry. Products: Condition-Based Monitoring: Track real-time measurements from thousands of high-value assets across your industrial ecosystem. Understand each asset’s health status and location in every corner of the globe and make informed decisions about how and when they are maintained, using the world’s most intuitive industrial analytics and visualization platform. Planning and Forecasting: Create optimal operation plans based on performance data and schedule recovering strategies to minimize operational disruptions due to unforeseen events. Improve forecasting to ensure that parts and equipment are available when needed, minimizing unscheduled downtime. Fuel and Energy: Manage and optimize the yield of fuel and energy. Improve fuel efficiency with the ability to adapt to network conditions and plan routes based on speed, terrain, and other constraints. Monitor asset performance and benchmark assets in a fleet to identify poorly performing assets and equipment in need of repair or maintenance. Supply Chain Optimization: Increase the speed of operations by connecting data points across your enterprise. Calibrate interdependent processes, so that activity in one section of the supply chain triggers automated best responses throughout your connected operation. Performance Optimization: Improve speed, efficiency and effectiveness across operations using asset tracking to adjust operating plans; incorporating asset-specific context like weather, terrain and geography. Analyze operator actions to identify trends and efficiencies. Gather network insights to improve solutions within business constraints.

Sight Machine

Description: Sight Machine is the category leader for manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses artificial intelligence, machine learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry’s only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple. Products: Acquire: Sight Machine enables companies to gain real-time visibility and actionable insights for every part, machine, line, and plant throughout a manufacturing enterprise. Our analytics platform enables manufacturers to use all of their data—no matter where or in what format it’s created. We do this with an automated and systematic data intake process that acquires, refines, and contextualizes data, creating a digital twin of each part and process. Analyze: Automatically prepares and contextualizes process and product data using artificial intelligence. Generates a Plant Digital Twin configured to mirror your manufacturing production. Applies machine learning and advanced analytics to surface anomalies and insights. Visualize: Uses analyzed data to present real-time visibility and actionable insights for every machine, line and plant across your entire enterprise. Sight Machine's Global Ops View and contextualized dashboards present the right information to the right people.


Description: Bit Stew Systems, From GE Digital, provides the premier platform for handling complex data integration, data analysis, and predictive automation for connected devices on the Industrial Internet of Things (IIoT). Purpose-built for the IIoT, Bit Stew’s MIx Core™ data intelligence platform solves the data integration challenge at scale for complex industrial data environments. Bit Stew has earned global recognition by being named to Gartner’s Cool Vendors List and as Frost & Sullivan’s Entrepreneurial Company of the Year – North American Service Solutions. In 2015, Bit Stew was ranked as one of the Top 100 Analytics Companies and Top 100 IoT Startups by Forbes. Incorporated in 2009, Bit Stew is a private company that is headquartered in Canada with offices in the USA, Australia and Europe. Products: Data Integration at Industrial Scale: Data integration is the Achilles’ heel for industrial organizations. 80% of data analytics project cost is associated with data integration and of those projects 50% fail. These projects often rely on traditional ETL or BI tools administered by large integration teams. Machine Intelligence: Automate complex IIoT data management with machine intelligence by creating relationships across your industrial data regardless of format, frequency, and type. MIx Core applies schema to data as its ingested in order to speed integration. An optimized NoSQL architecture and ability to dynamically adapt to sources as they come online allows you to ingest and integrate all your data 6x faster than traditional ETL. Edge: MIx Core enables edge processing through automated data ingestion, modeling, and mapping capabilities. The platform ingests data directly from equipment sensors without the need for extensive API libraries. A federated architecture supports analytics from control systems to the cloud, allowing the application of analytics to data while in motion. This enables real-time access to actionable insights, in a local context, to vastly improve operational agility. Capabilities: Analytic ensembles utilize machine learning algorithms to create context, learn patterns, detect anomalies, and store new intelligence into MIx Core’s knowledge repository