Modern businesses seem to be entering a new data-driven era. One was that science fiction is now made possible through advanced technologies such as machine learning, artificial intelligence, and the Internet of Things, etc. Businesses now widely use machine learning algorithms to identify trends and gain actionable insights across a wide range of industries with vast amounts of data to make faster decisions and position them to be highly competitive in real time. It is not a very simple process for organizations to integrate machine learning and artificial intelligence into their business intelligence applications. However, there are many who constantly experience the same thing.
AI helps organize data collections and test algorithms with data to verify accuracy over a few months and see where the business hangs up. However, as AI gains momentum, many leading application vendors have gone far beyond building traditional software to develop more holistic platforms that can better automate the employee data processes of business intelligence and analytics. Some of the major vendors, including SAP, General Electric, Siemens, etc., now offer custom software suites. Additionally, there are an emerging number of vendors in the startup market that are playing with AI in business intelligence. In this article, we will try to provide some real-time examples of major AI platforms.
SAP – Artificial Intelligence for Turning Databases SAP offers HANA, a platform for organizations to manage collected database information. In short, it helps replicate and ingest structured data such as customer information, sales transactions, relational databases, application data, and other data sources. HANA can be installed in the cloud or as an on-premises installation. This platform can also take information collected from various access points across enterprises, including desktop computers and mobile platforms. Data can be obtained from sensors, financial transactions and various production and industrial equipment.