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
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
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
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
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
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.
Will the Blueprint for an AI Bill of Rights Help or Hinder Fraud Prevention?
In this contributed article, Tamas Kadar, CEO and co-founder of SEON, suggests that as AI technologies continue to advance, they are emerging as powerful tools not only for online fraudsters but also for those dedicated to preventing fraud. Here, Kadar assesses the recent Blueprint for an AI Bill of Rights in the US and examines what its impact will be across the domain of fraud.
Combatting Non-Human Engagement: Maximizing Campaign Success by Fighting Profit-Siphoning Bots
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.
Innovation vs. Ethical Implementation: Where Does AI Stand Today?
In this contributed article, Vall Herard, CEO of Saifr.ai, discusses AI ethics. With the adoption of AI comes the next phase of innovation: understanding our moral compass and learning how to balance technology with morality — AND compliance.
AI’s Dependency on High-Quality Data: A Double-Edged Sword for Organizations
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.