Skip to main content

George Lucas Predicts Digital Future

A �media center� could be an integral part of every home by 2015. But movies on demand need a willing Hollywood and a super-PVR -- In a recent interview with Japanese web site TechOn, Star Wars director George Lucas discussed the impact of digital movie-making on cinema and touched on the rise of home entertainment servers in the digital home. Lucas is an unabashed devotee of digital film and digital projection � the second Star Wars prequel, Attack of the Clones, was the first movie to be shot entirely using a high-definition 24fps digital camera, Sony�s HDW-F900. The creator of that galaxy far, far away sees a digital future where more Hollywood movies will be shot in this way, more filmmakers will get their work shown and movies will be distributed over the Internet. �I'm not sure how it will actually play out,� Lucas is quoted as saying, �but it seems to be something like the same day and date of a movie being released in a movie theatre, you can also get it over the Internet.� �I think eventually [Internet distribution] will be the future of Hollywood,� Lucas said in another interview, this time with US news channel CNBC. But like many industry observers, he is also realistic about this future happening any time soon.

Popular posts from this blog

The AI Application Integration Challenge

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...