Business users use AI all the time, but the Gartner data and analytics platform took a look at how well the business users utilized machine learning in order to deliver AI to their customers.
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Gartner explains in the full report that, while artificial intelligence (AI) is the result of machine learning (ML) processes, the ML process is the means to that end. This is the first time that Gartner researchers, such as Kurt Schlegel, Rita Sallam, Austin Kronz, Julian Sun, and James Richardson, have taken the Magic Quadrant (MQ) approach to analyze both artificial intelligence and machine learning. Using the Magic Quadrant to Evaluate Artificial Intelligence Top 5 Highlights From the 2020 Gartner Report 1. New Leaders in Data Science and Machine Learning Investing in AI to Gain a Leader Designation 1 Top 5 Highlights From the 2020 Gartner Report.With this in mind, let’s take a look at some of the key takeaways from the 2020 Gartner Magic Quadrant Analytics and Business Intelligence report. Without the Gartner document’s findings, business leaders cannot benefit from the completeness of vision in order to further their company goals. Once a company knows its designation (Visionary, Leader, Challenger, or Niche Player) within the Magic Quadrant framework put forth by Gartner, the businesses’ leaders can begin to make moves towards using business intelligence, insights, and analytics to better position the company moving forwards. Gartner provides important information by using advanced analytics, to companies and vendors who can then utilize the data to define the particular purpose of their organization. Therefore, the positioning of a business or vendor within the Magic Quadrant framework is important, especially with an eye on where the company is headed. These days the opinions of Gartner carry such weight as to be considered statements of fact in many circles. By taking a look at the most recent Magic Quadrant report, business users can see who is a visionary or a leader when it comes to AI, and who is just a niche player Gartner is more than just a research organization. Technology users and business users alike know that the opinions of Gartner carry a certain weight and gravitas with them when it comes to understanding who the key players in the market are. These features will be commonplace in the space during the next several-year period, so much so that they will be included in 90 percent of available products.The 2020 Gartner report is full to the brim with important information regarding strategic technology trends for 2021, and about which companies garnered the highest ratings according to the opinions of Gartner, and positioned themselves favorably in the Magic Quadrant system. In Gartner’s most recent Magic Quadrant for Analytics and Business Intelligence Platforms, the analyst house highlighted augmented analytics as a strategic planning topic, a paradigm that includes natural language query and narration, augmented data preparation, automated advanced analytics, and visual-based data discovery capabilities. Gartner claims that the presence of augmented analytics will soon be so prevalent that citizen data scientists will surpass data scientists in terms of advanced analytic material produced. This is not the first we’ve heard about augmented analytics from the enterprise technology analysts, as the technology was one of the most prominent in Gartner’s 2018 Hype Cycle. The next-generation of data analytics will reach mainstream adoption sooner rather than later. Augmented analytics automates these processes to eliminate the need for data scientists. Organizations can also embed insights from augmented analytics into their own applications. The technology encompasses other modern analytical capabilities like data preparation, data management, business process management, process mining and data science. The company’s Vice President and Fellow David Cearley adds: “Artificial intelligence (AI) in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins to deliver highly integrated smart spaces.”Īugmented analytics uses machine learning to change how analytic content is developed and used. Gartner defines a strategic technology trend as one with “substantial disruptive potential” that is starting to emerge out of its infancy into more broad use.
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