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.
Harnessing AI in Agriculture
November 22, 2024 by
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
November 18, 2024 by
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.
AI Hallucinations Are Inevitable—Here’s How We Can Reduce Them
November 13, 2024 by
In this contributed article, Ulrik Stig Hansen, President and Co-Founder of Encord, discusses the reality – AI hallucinations aren’t bugs in the system—they’re features of it. No matter how well we build these models, they will hallucinate. Instead of chasing the impossible dream of eliminating hallucinations, our focus should be on rethinking model development to reduce their frequency and implementing additional steps to mitigate the risks they pose.
Chatbots Walked So AI Concierges Could Run
November 8, 2024 by
In this contributed article, Dr. Peter Graf, SVP of Strategy at Genesys, imagines a world where an AI-powered concierge can navigate complex customer support requests on your behalf. He believes the chatbots we’re familiar with today are paving the way forward for these concierges to become a reality.
The Role of AI in Customizing the Driving Experience
November 4, 2024 by
In this contributed article, Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility, discusses how AI and machine learning are redefining the driving experience by personalizing every aspect of vehicle interaction, from tailored comfort settings to predictive maintenance. These technologies enable cars to adapt in real time to driver preferences and behaviors, making driving more intuitive, enjoyable, and safe.
The AI Revolution: How Machine Learning has Changed the World in Two Years
October 30, 2024 by
In this contributed article, Ashley Marron, CEO of MindGenius, observes that as we approach the second anniversary of the launch of ChatGPT, it’s important to look at the impact AI has had on business technology, radically changing how companies and industries work, in that short time.
Unlock AI’s Full Potential: How to Overcome Enterprises’ Biggest Data and Infrastructure Challenges
October 24, 2024 by
In this contributed article, Mohsin Hussain, Chief Technology Officer at LiveRamp, believes that as AI models become more sophisticated and accessible, many companies are entering an AI “arms race.” To ensure success, companies must fortify their enterprise systems with more robust and higher-quality data.
Balancing Innovation and Ethics: AI and LLMs in Modern Sales Engagement
October 17, 2024 by
In this contributed article, Logan Kelly, Founder and President of CallSine, discusses how LLMs and AI have combined to boost sales teams’ outreach. These revolutionary advancements are changing sales engagement by delivering remarkable efficiency and personalization capabilities. However, they also come with challenges that organizations must face when taking advantage of these incredible tools.
How to Balance Top-Down Decision-Making and Bottom-Up Innovation for Enterprise AI Adoption
October 10, 2024 by
In this contributed article, Molly Lebowitz, Senior Director, Propeller, believes that for successful enterprise AI adoption, leaders must balance top-down decision-making with grassroots experimentation. A centralized engine to link the two will allow organizations to prioritize and centralize around high-value AI use cases while surfacing innovative new uses for AI.
