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
November 18, 2024 by
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
November 15, 2024 by
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.
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.
Why Auto-Tiering is Essential for AI Solutions: Optimizing Data Storage from Training to Long-Term Archiving
November 11, 2024 by
In this contributed article, Gal Naor, Co-Founder and CEO of Storone, explores why auto-tiering is essential for AI solutions in terms of data storage. By embracing auto-tiering, AI-driven organizations can ensure they meet both the demands of today’s data-intensive environments and the challenges of tomorrow.
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.
Five Ways AI Will Break Software Development
November 4, 2024 by
In this contributed article, Cory Hymel, VP of Research & Innovation at Crowdbotics, discusses why we need to think bigger about AI’s role in software development. The growing capabilities of AI models, particularly large language models, have the potential to fundamentally disrupt the software development lifecycle (SLDC).
Why Data Quality is the Secret Ingredient to AI Success
November 1, 2024 by
In this contributed article, engineering leader Uma Uppin emphasizes that high-quality data is fundamental to effective AI systems, as poor data quality leads to unreliable and potentially costly model outcomes. Key data attributes like accuracy, completeness, consistency, timeliness, and relevance play crucial roles in shaping AI performance and minimizing ethical risks. Uppin argues that robust data governance practices, including regular data checks and a company-wide data management culture, are essential for sustaining AI accuracy and reducing discrimination.
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.
The Grand Challenge of Sustainable AI
October 24, 2024 by
In this contributed article, Michela Taufer, Ph.D. and Chandra Krintz, Ph.D., highlight that as we unlock AI’s full potential, society faces an unsettling paradox: the technology used to solve global problems may exacerbate one of our most pressing challenges – climate change.
