Predictiveanalytics Stories

Big Data Analytics is revolutionizing smart cities by enhancing efficiency, sustainability, and urban planning. By analyzing vast amounts of real-time data, cities can optimize traffic flow, energy consumption, and public services. Smart sensors and IoT devices enable predictive maintenance, reducing infrastructure failures and improving safety. AI-driven insights help in managing resources, waste disposal, and emergency response systems effectively. At KRCT, students and researchers explore cutting-edge technologies in Big Data to drive the future of intelligent, connected urban environments.

Every business desires sales and growth. With the rapidly fluctuating economy and booming technology landscape, businesses have to be like water for sustainable growth. The key to achieving that is predicting what the customer wants next and adapting to changing demand. Predictive analytics is an emerging solution for solving these problems and gaining a competitive edge. This article is a deep dive into predictive customer analytics and how you can leverage it to stabilize your business in the current volatile market scenario.

This article explores the key aspects of healthcare analytics, including its importance, types, applications, challenges, and future trends.

Healthcare Analytics 𝐌𝐚𝐫𝐤𝐞𝐭 was valued at 𝐔𝐒𝐃 34.20 Billion 𝐢𝐧 2023 and is projected to reach 𝐔𝐒𝐃 113.13 Billion 𝐢𝐧 2030, at a 𝐂𝐀𝐆𝐑 𝐨𝐟 24.85% during the forecast period.

In Denmark, researchers are using the full potential of AI and data collected from millions of individuals to navigate the various stages of a person's life and build a conclusion

Account-Based Marketing, or ABM, has become quite popular and is frequently hailed as a marketing industry breakthrough since it enables businesses to target high-value accounts with extremely precise data. But when predictive analytics is combined with account-based marketing, businesses can reach previously unheard-of heights of excellence in their handling of upcoming business difficulties.

Discover how predictive analytics revolutionizes the customer experience in the logistics industry in this captivating video. This video explores the transformative power of predictive analytics in optimizing logistics operations, streamlining supply chains, and enhancing customer satisfaction.

CRM Solutions uses customer-level models to predict buying persona of customers based on their historical, and present data. Or, you may need to find out the possibility of a customer buying a product according to the price points. Analysis of such present and historical data and creating a model to predict the upcoming outcomes of a product or service is called Predictive Modelling. Applications of Predictive Modelling Predictive modeling is also called predictive analytics or predictive analysis and is mainly used in risk management, direct marketing and CRM, collection analytics, and so on. Let's look at how it is used: Auto insurance: It identifies the risk of accidents to policyholders. Fraud detection systems: Predictive modeling is used to determine high-risk transactions. It is also used to predict the possibility of customers terminating her/his services.

Machine Learning is one of the hottest career options today. AI will build 2.3 million Machine Learning jobs by 2020, according to a recent report from Gartner. LinkedIn's 2017 U.S. Both Data Science and Machine Learning are creating more jobs than candidates right now and making these two areas the fastest growing tech employment sector today.