Posts Tagged ‘Artificial Intelligence’

Change happens in the business world. The telecommunication industry is no different. In fact, this industry is a principal example of the fluid, dynamic and rapidly evolving business environment. These changes are breaking-down the dividers between communications, technology and entertainment. Creating an entirely new telecommunications industry. Moving forward, the ever-changing telecommunications industry needs to focus […]

Previously, I analyzed clinical data review platforms. This blog explains how artificial intelligence assists search, confidence scores, and data reviews. Search Data managers and reviewers log in to clinical data review platforms (CDRP), and slice and dice the data they want in order to review for missing, wrong, or inaccurate data. If they can search […]

Previously, I discussed life science subject screening and how robotic process automation can assist. This next installment of the series dives into robotic process automation (RPA) fixing mistakes in clinical data entry. Dirty clinical data is one of the most costly aspects of clinical trials. Not only does the review and clean-up slow down time […]

Many enterprises set out with good intentions to transform their organizations with AI, but fail to deliver without a strong AI Strategy in place.  A game plan that overlooks business requirements and scalability often sets AI journeys up for disappointment and turn leadership off to future investments. But you don’t have to let your past […]

Previously, I discussed artificial intelligence (AI) and the benefits it can have when transforming retirement services. In this next post, I look at call center optimization and how AI provides an in-depth look into financial advice. Call Center Optimization Call centers are a necessary evil for financial services organizations, and none feel the pain more […]

My last blog discussed how AI assists to create human-computer systems. This next blog in the series analyzes clinical data review platforms. While machine learning (ML) and natural language processing (NLP) functionalities are not currently available in today’s clinical data review platforms (CDRP’s), we know they offer tremendous benefits to the clinical data review and […]

We are continuing to see the big financial services firms catching up and in some cases leapfrogging other industries in their use of digital content and artificial intelligence to gain customers and loyalty. UBS recently announced many enhancements to its equity compensation plan services and digital platform, alongside access to personalized advice from a UBS […]

My last blog analyzed site monitoring, and how robotic process automation can enhance it. My next blog discusses life science subject screening and how robotic process automation (RPA) can assist. Even when sites are able to recruit a large pool of potential subjects, sponsors and CROs see far too many subjects who fail to pass […]

Previously, I discussed artificial intelligence (AI) enhancing clinical data review processes. This blog discusses how AI assists to create a human-computer system. Humans and machines each have their own strengths. On the one hand, machines are good at processing and analyzing large volumes of data with high speed and accuracy. On the other hand, humans […]

Previously, I discussed fixing clinical trial challenges with robotic process automation. This blog analyses site monitoring, and how robotic process automation (RPA) can enhance it. While sponsors, CROs, and sites all acknowledge that site monitoring is a necessary part of ensuring clinical trials are run in compliance with governing regulations and protocols, it can be […]

Ensuring that clinical trial data is accurate and that clinical trials are safe and effective, is a time-consuming and a manually intensive process. Many life sciences companies have implemented home-grown or off-the-shelf clinical data review platforms and defined the reviewing and cleaning processes to be used with them. Many of these systems have proven to […]

A few years ago, BBC Earth highlighted a memory test performed by a Chimpanzee named Ayumu. The Chimp displayed traits of machine learning (ML) when it was shown the numbers 1 to 9 in a randomized order on a screen and able to correctly remember the sequence when the numbers disappeared almost 90% of the […]