Model as a Service (MaaS) Transformation:

As we step into 2024, the landscape of Model as a Service (MaaS) is set to undergo a revolutionary transformation. The integration of machine learning models into various products will experience an unprecedented leap forward. Companies will increasingly recognize the efficiency and effectiveness of task-specific models, leading to a surge in demand for specialized AI solutions. This shift marks a departure from generic AI models to tailored, application-specific ones. The flexibility and customization offered by these models will not only enhance productivity but also streamline processes across diverse industries. As organizations delve deeper into the potential of MaaS, a new era of innovation and problem-solving will unfold, paving the way for more targeted and impactful artificial intelligence applications.

Creative AI Redefining Multimedia Realism:

The realm of creative artificial intelligence will achieve a groundbreaking milestone in 2024, particularly in the domains of audio, video, and media. Creative AI models will attain a level of sophistication that brings them on par with real photography. This convergence of technology and creativity will blur the lines between artificial and authentic content. Whether it's generating lifelike images, composing music, or replicating human-like voices, AI will reach a point where distinguishing between AI-generated and traditionally created content becomes nearly impossible. This advancement not only elevates the quality of multimedia content but also opens up new possibilities for creative expression and storytelling, pushing the boundaries of what is achievable in the digital realm.

Continued Demand for Advanced Computing Power:

While there may be a temporary simmering down of the silicon providers, including GPU manufacturers like Micron, Nvidia, AMD, and others, the demand for advanced computing power is far from waning. As machine learning models become increasingly complex and intricate, the hunger for robust and high-performance computing resources will intensify. In 2024, we will witness a resurgence in the demand for GPUs and other silicon solutions as the field of artificial intelligence continues to evolve. These advanced hardware components will play a pivotal role in supporting the training and deployment of intricate machine learning models, driving innovation in diverse sectors such as healthcare, finance, and autonomous systems. Far from a plateau, the silicon industry is poised for a renewed surge in growth and relevance as the computational demands of AI models escalate.

Bonus: We see the rise of Local ML running on your own device indicated by Apple's new chip developments.

Predictions are only as good as one's magic 8 ball, and ours is no shinier than anyone else's.