How Healthcare Convergence Is Changing the Role of Pharma

Changing market dynamics and demands for a more progressive approach to manage healthcare challenges are leading to convergence in healthcare. I spoke about this trend in my last blog and how it’s resulting not only in global healthcare systems becoming more and more alike, but also in convergence across a broad range of healthcare organizations.

Driving the Digital Vehicle

It’s not just central locking systems, power mirrors or the 18 electromechanical actuators one German luxury car had built into the driver’s seat as early as 1985 – the majority of vehicle processes have been managed electrically/electronically for decades. While today E/E components make up 20% to 40% of manufacturing costs of a car, this proportion is expected to rise to at least 50% in the years to come. This is not just due to the fact that the vehicles’ internal control mechanisms are becoming…

Leveraging the Value of Big Data with Automated Decision Making

It is a widely accepted fact that we are living in the era of Big Data. Many traditional companies are looking for ways to improve their business through the virtues of Big Data and Data Science. While matured startups born in this era like Facebook and Twitter seem to naturally exploit the value of their data, many traditional companies struggle to find new ways of utilizing their data to leverage its value for their classical businesses.

Predictive Analytics: Applying Machine Learning in Big Data Environments

Big Data applications do not only depend on exceptional technologies to efficiently store and access large amounts of data, but also require highly sophisticated analytics techniques in order to gain as much insight and added value from the available data as possible. Especially in the field of Predictive Analytics the combination of Machine Learning (ML) and computational statistics offers powerful tools to identify and describe trends and behavior patterns from the automated analysis of historical data. Many of these toolkits have been developed for scientific…

Right Data: Why Big Data Sometimes Just isn’t Enough

Big Data is everywhere! The sources of Big Data are manifold and are related to several popular topics: sensors in vehicles (Connected Car) or production lines (Internet of Things, IoT), mobile communication, social media, and many other areas are capable to steadily produce enormous amounts of data. The pure collection of data is not an end in itself. The underlying goal is to generate additional value from it through skillful exploration. In recent years, the ability to both store and process Big Data sets improved…

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