Family-friendly movies are more profitable than R-rated films, according to a new study. In a follow-up to a 10-year study commissioned by the nonprofit Dove Foundation in 1999 -- which found that between 1988-97 the average G-rated film made eight times the profit of an R-rated picture -- an extension of that study found that trend continuing and expanding. The new, expanded study examines the revenue and negative costs for 3,000 MPAA-rated theatrical films released between Jan. 1, 1989, and Dec. 31, 2003, using the 200 most widely distributed films each year based on the number of theaters. The 15-year study throws more fuel onto the fire of the long-running debate over sex and violence in entertainment -- and whether it sells. To encourage the production and distribution of more wholesome family entertainment, the Dove Foundation commissioned the study to examine the profitability of movies broken down by their MPAA ratings to compare family-friendly movies vs. R-rated films. "While the movie industry produced nearly 12 times more R-rated films than G-rated films from 1989-2003, the average G-rated film produced 11 times greater profit than its R-rated counterpart," said Dick Rolfe, founder and chairman of the Grand Rapids, Mich.-based media advocacy group.
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...