AI for Customer Engagement 101: Where to Get Started

This webinar session is geared towards business analysts and general data enthusiasts to learn the foundations around AI and Machine Learning. We’ll discuss how to approach AI/ML for business transformation, applications for predictive analytics, and best practices across the AI/ML lifecycle.

This webinar will focus on the promise AI holds for organizations in every industry and every size, and how to overcome some of the challenge today of how to prepare for AI in the organization and how to plan AI applications. The foundation for AI is data. You must have enough data to analyze and build models. Your data determines the depth of AI you can achieve — for example, statistical modeling, machine learning, or deep learning — and its accuracy. The increased availability of data is the single biggest contributor to the uptake in AI where it is thriving. Indeed, data’s highest use in the organization soon will be training algorithms. AI is providing a powerful foundation for impending competitive advantage and business disruption.

As per a report published by International Data Corporation (IDC), the total revenues in the Augmented Reality (AR) and Virtual Reality (VR) market are predicted to reach over USD 162 billion by 2020. AR and VR has become of paramount importance to take the business to the next level. Enterprises across the globe are looking for efficient ways to innovate and churn out immersive technologies to not just train their employees but to also improve customer satisfaction and loyalty which results in increased profits.

There is little doubt that artificial intelligence (AI) will transform business and IT, but there will not be just one transformation. AI is not a product, service or technology. AI is most simply a category of capabilities. But this “category of capabilities” has the potential to enhance, advance, transform and disrupt. Join this complimentary webinar for a look at the current state of IT spending around the world. We look at how Q1 spending impacts the many aspects of AI and its power to enhance and create, as well as its marketing challenges.