Applied use cases
Scientists are finding new ways to use A.I. to tackle the biggest health concern in the world.
February may be the shortest and coldest month of the year. But for many, it is a time to give special recognition to often overlooked aspects of world history (Black History Month) and recognize what may be the single greatest threat to health in the world. For many, February is also known as Heart Health Month, and 2022 will be the 58th consecutive year it is recognized.
Digital transformation has accelerated demands for a more diversified and skilled workforce.
Rapid changes have highlighted the importance of a back-to-human approach of training, career development, and hiring. 97% of organizations are planning significant transformation this year but feel that inadequate workforce skills and employee burnout may hinder this goal.
Symbolic AI and machine learning/deep learning all have their own set of strengths that, when used together in a hybrid fashion, make for a powerful approach that uniquely supports a number of key enterprise applications going forward. But before we get to that, let’s take a look at what each brings to the table.