How Can AI-Powered Predictive Maintenance Boost Business Efficiency

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, shows that when AI steps into predictive maintenance, it supercharges this capability. It offers more profound insights, accurate predictions and the ability to act swiftly. This blend of technology enhances operational efficiency and paves the way for a deeper exploration into how such innovations can transform the business landscape.

Evolution of AI in Software Development: Shifting from Co-pilot to an Autopilot

In this contributed article, Janne Saarela, a Strategy Analyst at JFrog, highlights parallels between autonomous driving and software development, showcasing a shared evolution towards reduced human involvement through automation.

How Solving the Big Data Problem Can Fix B2B Ecommerce

In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues. To address these challenges, leaders should focus on three strategies: prioritize data hygiene, leverage zero-party data for personalized customer experiences, and apply AI cautiously to ensure the delivery of accurate and trustworthy product recommendations.

Counteracting Financial Crimes with Generative Models 

In this contributed article, editorial consultant Jelani Harper discusses generative models, synthetic data, and combating financial crimes. Generative models are gradually reshaping the nature of financial crimes. They can help and hinder both investigators and the fraudsters perpetuating criminal activity.

When Algorithms Wander: The Impact of AI Model Drift on Customer Experience

In this contributed article, Christoph Bӧrner, Senior Director of Digital at Cyara, discusses the risks and dangers of AI model drift on CX and how organizations can navigate the balance between leveraging AI advancements and maintaining exceptional CX standards.

The Synergy of AI and Cloud Transformation in the Payment Sector: Advancing Security, Scalability, and Innovation

In this contributed article, technical leader Kamala Manju Kesavan discusses how AI and cloud computing research in the payment industry sheds light on a prosperous arena of inventions and transformation. In the near future, the payment sector will probably welcome advanced technologies such as blockchain, biometric authentication, and AI-powered solutions, which will lead to transactions that will be more secure, rapid, and user-friendly.

Beyond Tech Hype: A Practical Guide to Harnessing LLMs for Positive Change

In this contributed article, Dr. Ivan Yamshchikov who leads the Data Advocates team at Toloka believes that whether it’s breaking down language silos, aiding education in underserved regions, or facilitating cross-cultural communication, LLMs have altered the way we interact with information –enhance human well-being by improving healthcare, education, and social services.

The Data Disconnect: A Key Challenge for Machine Learning Deployment

This article is excerpted from the book, “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment,” by Eric Siegel, Ph.D., with permission from the publisher, MIT Press. It is a product of the author’s work while he held a one-year position as the Bodily Bicentennial Professor in Analytics at the UVA Darden School of Business. 

The Essential Role of Clean Data in Unleashing the Power of AI 

In this contributed article, Stephanie Wong, Director of Data and Technology Consulting at DataGPT, highlights how in the fast-paced world of business, the pursuit of immediate growth can often overshadow the essential task of maintaining clean, consolidated data sets. With AI technology, the importance of data hygiene becomes even more apparent, as language models heavily rely on it.

Taking ITSM To The Next Level, Faster—By Bringing AI Along For the Ride

In this contributed article, Krishna Sai from SolarWinds discusses how IT service management (ITSM) is at a crossroads. In recent years, IT teams have drastically changed how they communicate and collaborate. The evolution of IT infrastructure with the advent of cloud computing and big data has led to larger fleets of servers, more storage systems, and more complicated networks. This has led to more than just an increase in the quantity of devices and services we need to manage—there’s been a qualitative change in the level of complexity of the systems we need to manage.