Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from ML, IA, NLP, blockchain, IoT, and emerging tech; to data science, data visualization, predictive modeling; to data quality, data governance, and data architecture.

Learn More

Recently Published

Advances in blockchain technology have been unwavering. Thanks to a slew of current and emerging trends, blockchain is now viewed as a mature and accessible technology and business solution for those seeking to make transactions with greater security, transparency, speed, efficiency, and cost savings. In a Cutter Consortium webinar earlier this year, Karolina Marzantowicz revealed some new blockchain-based innovations — such as the growth of global blockchain consortiums, stablecoins, digital currencies, new service offerings from big tech giants, and decentralized finance platforms — that are revolutionizing the banking and finance industry by transforming both the business and consumer experience in positive ways. In this Advisor, we share six questions asked at the end of the webinar that may help you in your blockchain journey.
The RPA vendors have taken considerable interest in IPA. Over the past year, many have been adding (to varying degrees) AI technologies — particularly ML, NLP, smartbots, and advanced imaging — to their platforms to provide intelligent capabilities necessary to automate more complex processes and tasks that are beyond the scope of what is possible using only conventional RPA tools. This, in effect, has allowed the RPA providers to try and position their products as a familiar platform for organizations to segue AI into their operations.
Applying a simplistic algorithm to inadequate data fails to deliver expected exam grades as the pandemic exposes flawed thinking and underlying bias in the education system.
The number of Internet of Things (IoT) devices — ranging from connected consumer products like smart speakers, TVs, refrigerators, and stoves to sensor-enabled industrial machinery and business equipment — continues to proliferate, but many of these devices lack strong built-in security features. This Advisor considers the application of AI and blockchain technologies for strengthening the cybersecurity capabilities of IoT devices and networking environments as well as future developments in this area.
Intelligent automation applications are reaching the point where both organizations and governments must create policies regulating the use of and the liability associated with using smart technologies.
This Executive Update investigates blockchain adoption in the transport industry; it also describes common challenges and provides practical recommendations for the future.
An important trend is the development of emotion recognition technology for speech-based systems with the goal of optimized customer engagement while providing an enhanced customer experience.
To mitigate cybersecurity threats, it is essential to understand the cycle of infor­ma­tion security governance and control: preparation, prevention, detection, response, and learning. This information security management cycle provides important guidance to organizations dealing with security incidents. However, in the con­text of Industry 4.0, these five tasks present different challenges. This Advisor explores the challenges of cybersecurity management.