According to the New York State Attorney General, AOL's policy to discourage dial-up customers from disconnecting service resulted in bad judgement -- Every company wants to retain customers. But AOL Inc. went too far when it tied employee compensation to minimum �save� percentages. So says New York State Attorney General Eliot Spitzer, who this week announced a $1.25 million settlement with the online giant. The deal resolves a probe into complaints that AOL�s telereps failed to honor cancellation requests. The payment, covering $1.2 million in penalties and $50,000 in investigative costs, is the least of it: The company will also have to restructure its bonus plan. And it will have to implement third-party verification of member�s consent to continue services. Finally, it must repay New York customers for up to four months of improper post-cancellation charges. How did AOL get into this mess? AOL�s retention program has long been based on persuading people who call to cancel into staying. That entails finding the �sweet spot� that will appeal to individual subscribers, and is similar to others in the online industry, says spokesperson Nicholas Graham.
Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...