AI Has Run Into Data Shortage and Overtraining Problems

In this contributed article, Jason Hardy, Chief Technology Officer for Artificial Intelligence for Hitachi Vantara, explores how the growing demand for training data is testing the limits of AI development and triggering challenges like overtraining, which can lead to regression or biased outcomes.

How to Craft an AI Plan for Customer Service

In this contributed article, Chris Filly, Vice President of Marketing for CX automation company Callvu, discusses how AI can assist in customer service, but getting AI right requires a well-defined strategy and a commitment to continuous improvement. By taking an intelligent approach, customer service leaders can use AI to deliver great customer experiences, empower support teams, and dramatically reduce service costs.

Is AI-Powered Surveillance Contributing to the Rise of Totalitarianism?

In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state. This piece delves into the ethical risks of AI-powered tools like predictive policing, facial recognition, and social credit systems, while raising the question: Are we willing to trade our personal liberties for the promise of safety?

Embracing AI Devices in the Workplace: Navigating the Ethical Challenges

In this contributed article, Mary Giery-Smith, Senior Publications Manager for CalypsoAI, believes that by developing a culture grounded in responsible AI use, businesses can sidestep unintended pitfalls and build a workplace that values ethical integrity as much as innovation.

Small Language Models Set for High Market Impact in 2025

As the initial hype surrounding GenAI continues to mellow, the market impact of small language models (SLMs) is set to soar. Benefitting from faster training times, lower carbon footprint, and improved security, SLMs could prove more attractive for enterprises compared to the LLMs that have thus far dominated headlines.

Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale

In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out’ has never been more applicable than now. Clean, accurate data is the key to winning the AI race – but leaving the starting blocks is the challenge for most. Winning the race means working with data that’s match fit for AI.

Harnessing AI in Agriculture

In this contributed article, Sarah Schinckel, director of emerging technologies in the Intelligent Solutions Group (ISG) at John Deere, discusses how AI is being harnessed in agriculture. The piece also offers considerations for leaders as AI is integrated across industries.

How Generative AI is Shaping the Next Wave of Innovation

In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors. Generative AI is the new innovation after the Industrial Revolution that is going to bring remarkable changes in every aspect of the overall business environment.

How AI is Transforming Legal Operations and Revolutionizing Contract Management Efficiency

In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive function within organizations.

AI Automation: A New Era in Business Efficiency and Innovation

In this contributed article, Dmitry Shapiro, Founder & CEO of MindStudio, discusses how businesses worldwide are recognizing the potential of AI to not only streamline complex, data-heavy tasks but also to redefine traditional job roles, preparing organizations to thrive in an increasingly fast-paced, data-centric landscape.