IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At the VentureBeat conference, IBM's Cox showcased a compelling argument for open innovation in enterprise machine learning. The speaker, VP of AI models and head at the MIT-IBM Watson AI Lab, stressed the significance of transparency in tech progress, especially in the present machine learning environment.
David emphasized the multifaceted essence of accessibility in machine learning, contesting the two-dimensional understanding of the idea. He noted the expanding ecosystem of open models from various sources, including tech giants, universities, website and governments.
Nonetheless, he voiced worries about the quality of openness in various AI language systems, pointing out that certain models provide little more than a "bag of numbers" devoid of openness in their development processes.