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.
Unlock AI’s Full Potential: How to Overcome Enterprises’ Biggest Data and Infrastructure Challenges
October 24, 2024 by
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.
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.
AI’s Role in Revolutionizing Anti-Money Laundering Efforts
October 7, 2024 by
In this contributed article, Vall Herard, CEO of Saifr.ai, points out that by augmenting human expertise with machine precision, AI is dramatically boosting the efficacy, efficiency, and scale of AML and KYC solutions.
The Good, the Bad, and the Future of Data AI
September 30, 2024 by
In this contributed article, Paul Scott-Murphy, chief technology officer at Cirata, discusses key best practices for applying generative AI in today’s enterprises. The key to harnessing the explosion of AI is recognizing the good, bad, and future, letting those influence how and where we securely utilize it. Time invested now in doing this proactively will benefit you and your organization tomorrow.
Combatting Non-Human Engagement: Maximizing Campaign Success by Fighting Profit-Siphoning Bots
September 26, 2024 by
In this contributed article, Mathew Ratty, CEO of Adveritas, discusses how the proliferation of AI has led to a flood of non-human engagement online, with AI powered bots making it easier than ever for fraudsters to infiltrate and drain ad budgets. Marketers need to take action now or risk a continued loss of profits.
Amplifying AI Use Cases Through Data Sovereignty: A Strategic Approach to Global Innovation
September 24, 2024 by
In this contributed article, Cuong Le, Chief Strategy Officer, Data Dynamics, discusses cultivating data sovereignty in our technology-driven ecosystem. Data is at the root of everything in a hyperconnected global economy. It is equally the source of great value and significant risk. 90% of the world’s data was created in the last two years, so it’s clear that we are entering a data-driven society we haven’t yet experienced, especially with the new wave of AI systems and intelligent consumer and enterprise applications.
AI’s Dependency on High-Quality Data: A Double-Edged Sword for Organizations
September 17, 2024 by
In this contributed article, Bryan Eckle, Chief Technology Officer at cBEYONData, suggests that as organizations strive to harness AI’s potential, they must navigate the significant challenges and risks associated with one key factor: high-quality data.
How AI Will Shape the Future Growth of RMNs
September 13, 2024 by
In this contributed article, Mark Heitke, VP of Strategy at Symbiosys, discusses the role of AI in the emerging strategy of off-site retail media, how the access to retailer first-party data through an AI engine can create hyper-nuanced target customer groupings as well as the potential for predictive behavior analytics. As AI and retail media continue to intersect the potential for both retailers and brands expands exponentially resulting in a much better shopping and ad experience for the consumer.
