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Showing posts from April 10, 2017

Automation, Prescriptive Analytics, and Stronger Security in our ever-connected digital era

For many analysts, emerging technologies including machine learning, AI, Automation, Prescriptive Analytics, to name a few are expected to revolutionize the industries at each level in the near future.
Task automation will increase as data analysis becomes more sophisticated and creative. Automation will allow employees to focus on more complex work that cannot be carried out by a computer, and will reduce overall production and operation times. Prescriptive analytics recommends the best course of action based on many different factors and objects rather than just estimating how something will perform. Prescriptive analytics goes beyond the realm of predictive analytics and is more cost-effective and efficient. Security will undergo new innovations as the Internet of Things and big data continue to evolve and their potential security threats and issues are realized. Organizations are now analyzing, collecting, and transferring more data than ever before, necessitating stronger, more f…

Machine Learning Models for Drug Discovery

At the core of stakes, we have: Lack of efficacy and adverse side effects, drug failures in clinical trials; Computational models and machine learning methods that can derive useful insights from large amounts of data on drugs and diseases from various sources; reduced attrition rates and improved drug discovery process. IBM scientists have been granted a patent on machine learning mode ls to predict therapeutic indications and side effects from various drug information sources.
I can observe that, IBM Research has implemented a cognitive association engine to identify significant linkages between predicted therapeutic indications and side effects, and a visual analytics system to support the interactive exploration of these associations.  This approach could help researchers in pharmaceutical companies to generate hypotheses for drug discovery. IBM was granted U.S. Patent 9,536,194: Method and system for exploring the associations between drug side-effects and therapeutic indications fo…

New levels of automation and productivity in manufacturing processes

Steadily the manufacturing industry finds new opportunities available in the cognitive computing, smart sensors, predictive analytics, and robotics. These emerging technologies are enabling new levels of automation and productivity in manufacturing processes and increasing competitiveness across value chains.

Automation, Prescriptive Analytics, and Stronger Security in our ever-connected digital era

For many analysts, emerging technologies including machine learning, AI, Automation, Prescriptive Analytics, to name a few are expected to revolutionize the industries at each level in the near future.
Task automation will increase as data analysis becomes more sophisticated and creative. Automation will allow employees to focus on more complex work that cannot be carried out by a computer, and will reduce overall production and operation times. Prescriptive analytics recommends the best course of action based on many different factors and objects rather than just estimating how something will perform. Prescriptive analytics goes beyond the realm of predictive analytics and is more cost-effective and efficient. Security will undergo new innovations as the Internet of Things and big data continue to evolve and their potential security threats and issues are realized. Organizations are now analyzing, collecting, and transferring more data than ever before, necessitating stronger, more f…