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Archive | Artificial Intelligence

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Predicting Customer Churn with IBM Watson Studio

Business leaders understand the advantage of using the power of artificial intelligence and machine learning to stay ahead of their competitors. However, understanding the power of AI is a lot different than actually successfully implementing it in companies. For example, in 2017, Gartner estimated that Big Data projects have a success rate of only 15%. […]

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My Highlights from IBM Think 2018: Data Science, SPSS, Augmented Reality and the Customer Experience

I attended IBM’s inaugural Think event in Las Vegas last week. This event, IBM’s largest (estimated 30,000+ attendees!), focused on making your business smarter and included keynotes and sessions on such topics as artificial intelligence, data science, blockchain, quantum computing and cryptography. I was invited by IBM as a guest to share some insights from […]

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Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty

As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Predictive analytics and artificial intelligence capabilities provide a way to extract insights from that data to help you improve the customer experience and optimize customer loyalty. Artificial Intelligence and Predictive Analytics […]

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Figure 1. Competency in Machine Learning Areas

A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques

Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning skills. About half of data professionals said they were competent in supervised machine learning (49%) and logistic regression […]

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Artificial Intelligence: The Customer Experience Imperative

Customer Experience Management (CXM) is the process of understanding and managing customers’ interactions with and perceptions about the company/brand. In our Big Data world, improving the customer experience is increasingly becoming data-intensive endeavor. Consider CRM systems, surveys, social media sources, telemetry systems, and publicly available data sources; using the combined power of statistics and today’s […]

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