AI is upending the business world and disrupting industries. The question is how can organizations leverage the transformative power of AI? How have the economic upheavals created in the past few months impacted AI development efforts? How does a business continue to invest in AI without making massive investments in additional talent? At dotData, our vision is to bring disruptive scale and speed in AI development through automation. We deliver production-grade models in a matter of days compared to the traditional AI development process that takes months. Intelligent business decisions and powerful insights are within your reach. Join us @VentureBeat #Transform July 15th to the 18th, 2020 to learn how AI automation enables organizations to execute more AI projects with fewer resources, adding unprecedented value and causing disruption! Related Articles
The term “Advanced Analytics” was coined by the Gartner Group and is defined as the “...autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations.” Advanced analytics, by definition, requires the use of advanced techniques like data mining, machine learning, pattern matching, and other sophisticated manipulation of data in an effort to gain greater insights. The most broadly used category of advanced analytics is also known as predictive analytics. Predictive analytics itself is not new, but has traditionally been the exclusive domain of data scientists and highly skilled statisticians due to the extremely complex mathematical models required to effectively build predictive dashboards. While many organizations can benefit from predictive analytics, only a few are able to create and deploy dashboards powered by predictive algorithms, due to the high cost of…
