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This article discusses cognitive computing's potential to solve complex business problems. Cognitive systems can handle ambiguity and provide insights to augment human decision-making. The article explores applications in customer service, automation, and healthcare. While still in early stages, cognitive computing is expected to transform how businesses operate.

This article introduces Aila, a cognitive computing system from Enterra Solutions. Aila goes beyond traditional analytics by using AI and advanced math to analyze data and answer complex business questions. Unlike other systems, Aila can handle big data, learn from interactions, and provide insights in plain language. It's a valuable tool for digital enterprises to gain a competitive advantage.

This article explores the difference between AI and machine learning. Machine learning is a powerful tool for businesses, but it shouldn't be a fad. Businesses should focus on how machine learning can solve real problems like sales forecasting and marketing. Part 2 will discuss the challenges of implementing machine learning.

This article discusses challenges of implementing machine learning for businesses. These include data quality, complexity vs. accuracy trade-offs, bias, and maintaining models over time. Companies need to address these challenges to reap the benefits of machine learning.

This article explores the concept of intuition and its role in decision-making. It argues that AI can be a valuable tool to augment human intuition and improve decision-making. The article also discusses the different ways AI can be used to assist decision-making, such as augmented intelligence and artificial intuition. Finally, it highlights that while AI can automate some decisions, human input is still important for complex decision-making.

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.

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.

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.