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Kategorie: Blog: Business Analytics / AI / Big Data

Artificial Intelligence and Machine Learning in the Insurance Sector

As rapid technological advances reshape the insurance landscape, carriers are encouraged to adopt technologies to enhance customer service, create better solutions for operational efficiency, and build ever more accurate underwriting models. Artificial Intelligence (AI) and particularly Machine Learning (ML) hold a promise in this regard as it has proven to be successful in multiple disciplines including ecommerce, predictive maintenance, election forecast, and drug discovery. Mehr lesen

Social Media Analytics for Higher Sales Conversion Rates

Social data analytics has recently gained esteem in predicting the future outcomes of important events like major political elections and box-office movie revenues. Related actions such as tweeting, liking, and commenting can provide valuable insights about consumer’s attention to a product or service. Such an information venue presents an interesting opportunity to harness data from various social media outlets and generate specific predictions for public acceptance and valuation of new products and brands. This new technology based on gauging consumer interest via the analysis of social media content provides a new and vital tool to the sales team to predict sales numbers with a great deal of accuracy. Mehr lesen

Artificial Intelligence: A Paradigm Shift in the Pharmaceutical Industry – Use Case of Cancer Detection

The current business model of the pharmaceutical industry where a new drug may take a decade and Billions of dollars to develop is no longer viable in this digital era of big data and cloud computing. Giant IT companies such as Amazon and Google are leveraging their deep pockets and strong Artificial Intelligence (AI) footprints to lower the entry barrier to this vital sector and render classical models of drug discovery and development obsolete. Mehr lesen

Predictive Maintenance in Aerospace – Innovative Use Cases

The aerospace sector is operating on an archaic data management model that lacks breadth and visibility to detect patterns or to enable early failure detection and isolation. For once, the conservative nature of this heavily regulated sector makes it costly and time consuming to develop and certify new solutions and services based on emerging technologies. Mehr lesen

Trends in Data-Driven Internet of Things (IoT)

Over the last year, we’ve watched companies develop strategies and build capabilities within the Internet of Things (IoT) arena. While some of these companies already have a solid existing market positioning in IoT, others are in the early stages and are focused on moving quickly. Mehr lesen

How to approach Business Analytics? A guide for better insights out of big data

Business Analytics is a complex and new topic for many corporations. We are often asked by our clients how to approach this topic as best as possible and which building blocks are to be considered. In this article, we would like to give interested parties a brief guide on how to address the topic and which building blocks are to be considered to get better insights out of big data. Mehr lesen

Data-Driven User Engagement

The promise of data and analytics for product companies is that they can help you understand usage, and improve your ability to build, deploy, and service products to customers much more accurately and efficiently. Mehr lesen

The ROI of a Modern Data Strategy

You finally have top management on board to get started on your company’s data transformation, but now comes the hard part. You know that there’s value in having the right strategy before you begin your big data work, but how do you convince the rest of your stakeholders and team on the ROI of beginning with the strategy instead? Mehr lesen

Das Potenzial von Daten durch Business Analytics voll ausschöpfen!

Rasant ansteigende Datenvolumina machen die Auswertung und Generierung von „Insights“ für Unternehmen immer aufwendiger. Daher ist das Thema Business Analytics wichtig, um die richtigen Kunden zu identifizieren und mit passgenauen Angeboten anzusprechen. Mehr lesen