This article discusses the value of cognitive technologies, which use AI techniques like machine learning to handle ambiguous situations. It highlights cognitive computing's ability to provide insights, support better decision-making, enable corporate alignment, and adapt to rapidly changing business environments through data analysis and integration.

This article discusses the concept of augmented intelligence, where AI and cognitive technologies augment and enhance human decision-making capabilities rather than replace them. It explores the benefits of this approach, such as resolving ambiguity, automating tasks, transforming employee roles, and introducing new job opportunities through human-machine collaboration.

This article discusses Ada Lovelace Day, celebrated annually to honor the achievements of women in STEM fields like Ada Lovelace, considered the first computer programmer. It also highlights the 2020 Nobel Prize in Chemistry awarded to Emmanuelle Charpentier and Jennifer A. Doudna for their groundbreaking gene editing technique CRISPR.

The article discusses cognitive computing, a type of AI that aims to mimic human thinking. It's distinct from traditional AI (machine learning) because it can handle ambiguity and uncertainty. Cognitive computing systems are adaptive, interactive, iterative, and contextual. They are designed to augment human decision-making, not replace it. Businesses can leverage cognitive computing to gain insights from data and improve decision-making. While AI can make predictions, human judgment is still critical for making final decisions.