The increasingly digital economy requires boards and executives to have a solid understanding of the rapidly changing digital landscape. Naturally, artificial intelligence (AI) is an important stakeholder. Those organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an umbrella term that covers multiple disciplines, … [Read more...] about How to Prepare for an Automated Future: 7 Steps to Machine Learning
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Artificial Intelligence for Drug Discovery
A.I. for Drug Discovery: Enhanced Tools and Systems to Speed and Multiply Drug Development Pathways Join industry experts and colleagues at the Artificial Intelligence for Drug Discovery conference on May 23, 2018 in Cambridge, MA to discuss the modernization of the drug production process through these disruptive innovations and identify how to extract maximum value from … [Read more...] about Artificial Intelligence for Drug Discovery
Data Testing: Why Traditional Approaches fail in the Era of Big Data
The contemporary business environment is characterized by proliferating data, growing customer demands, and shrinking budgets. It, therefore, calls for organizations to remain competitive by making the right decisions at the right time. The business world has witnessed a paradigm shift over the past several years. It's no longer imperative for business leaders to only rely on … [Read more...] about Data Testing: Why Traditional Approaches fail in the Era of Big Data
Response Surface Methodology, Analysis & Interpretation
1. Introduction Response Surface Models, a variation of the simple linear regression, with the incorporation of the second order effects of non-linear relationships, is a popular optimization technique to determine the best possible combinations of variables to determine a specific response to a phenomenon (Minimum/maximum/saddle point). RSM is particularly useful to understand … [Read more...] about Response Surface Methodology, Analysis & Interpretation
9 Ways How Commercial Analytics Create Business Value
I first became involved in commercial analytics in the eighties. First, through my involvement in customer segmentation and data visualisation, principally in banking but also in energy, manufacturing and the chemical industry. It also emerged later, in conjunction with my activities at the Sperry European Centre for AI, and was centred on pricing and yield management … [Read more...] about 9 Ways How Commercial Analytics Create Business Value
