Nikon will be the first out of the gate and the optical specifications look promising. The Coolpix P1 will have 8.0 megapixels of resolution with a 4X optical zoom. The Coolpix P2 will also come with a 4X zoom, but with less megapixels (5.0). Both cameras can record 30 frames per second movies at 640 X 480 pixel resolution. Kodak's EasyShare One will ship next month and will have a 3X optical zoom and take pictures at 4 megapixels. While all three cameras offer wireless transfer, the feature is enabled differently between the announced snapshot cameras. All the cameras offer wireless transfer direct to a printer, but an extra wireless adapter must be purchased. For transferring to a computer, the Nikon cameras beam pictures directly into the "PictureProject" software. This means users are either tied to their desktop PC, bring their notebooks along or install the software on a friend's computer to be able to get their shots off the camera in a wireless fashion. Kodak has partnered up with Hotspot providers like T-Mobile to offer direct-to-the-Internet transfers. Users can completely ditch the computer and drop by any Starbucks. Pictures can be sent directly to an Internet picture gallery from participating hotspots or wireless networks. The Nikon Coolpix P1 and P2 will be available for $550 and $400 respectively, while the Kodak EasyShare One will sell for $600.
As we approach 2025, the global Artificial Intelligence (AI) market is poised for significant growth. Traditional AI spending is rising, while Generative AI (GenAI) struggles to meet lofty expectations. This apparent dichotomy presents challenges and opportunities for vendors and business leaders navigating the complex world of AI implementation. Let's explore the overall situation. Traditional AI: A Pragmatic Approach In the coming year, we expect to see a surge in traditional AI spending as enterprises seek pragmatic, ROI-driven solutions. This trend is driven by a growing recognition of the limitations and risks associated with GenAI projects, which have shown alarmingly high failure rates of 80 to 90 percent in proof-of-concept stages. The trend towards traditional AI is further supported by data from Amazon Web Services (AWS), which revealed that over 85 percent of AI projects in 2024 were not based on GenAI. This insightful statistic underscores the continued relevance and ...