TL: DR: Predictive Analytics is using historical and real-time data to generate useful insights and predicting critical outcomes in the future. A large number of organizations are leveraging this AI-powered technique to reduce risks, improve operations, cut business costs, and increase the bottom line. What is Predictive Analytics? Gartner defines Predictive Analytics (PA) as a form of advanced analytics which examines data or content to answer the question “What is going to happen?” or more precisely, “What is likely to happen?”, and is characterized by techniques such as regression analysis, multivariate statistics, pattern matching, predictive modeling, and forecasting. Grandview research recently estimated that the global market for predictive analytics is growing at a CAGR of 23.2% and projected to grow to $23.9 Billion by 2025. Initially, the purview of a few visionary companies, predictive analytics is rapidly gathering momentum in the market. Several industries such as banking, financial services, insurance,…
If you are in the market looking for automated machine learning (AutoML) tools, there are plenty of choices. Forrester Research recently published a report highlighting nine Automation Focussed Machine Learning Solutions and named dotData a leader. The report underscores the importance of Feature Engineering and Explainability as key differentiating factors for leaders in the AutoML space. But if you are new to machine learning or are part of a BI and analytics team with a mandate to incorporate predictive analytics, how do you decide which AutoML tool is right for you? What are some of the factors that you should consider as you make your decision? The end-user & skill set Any data science project is going to start with identifying business use cases and requirements. The process is also heavily dependent on the available resources of the business as well as the skill-set of the primary intended users. In…
Today dotData is thrilled to announce dotData AI-FastStart™, our new exclusive program aimed at helping Business Intelligence professionals with the adoption of AI and Machine Learning (ML) powered Business Intelligence (BI) solutions - regardless of the amount of expertise or infrastructure readiness of the organization. With AI-FastStart™, BI teams can quickly move from zero to a fully operational AI/ML experience in ninety days (90) or less. AI-FastStart™ was born as a direct response to a rapidly changing BI & Analytics world. AI/ML has become a critical technology investment but most organizations still suffer from scaling AI/ML practices. BI+AI (a.k.a. citizen data scientists) is no longer a “nice to have” but must become the new approach to scale AI/ML for organizations. dotData AI-FastStart™ makes AI/ML adoption simple, easy and fast. The program was designed around four core principles: The right platform, education, providing fast time-to-value, and to be easy to deploy…
