Skip to main content

The main challenges of advanced analytics

Digital transformation has enabled businesses to reduce costs, streamline operations, embrace entirely new business models, and discover untapped revenue channels. Many of these benefits come from implementing data-driven technologies, including machine learning (ML) and artificial intelligence (AI), that transform the increasing amounts of data produced by today's organizations into useful insights that can foster new strategies. Despite the massive potential of these technologies, only 37 percent of businesses that adopt them report successful initiatives. In this infographic, you'll learn about the main challenges that modern organizations face in implementing AI and ML, and how you can overcome them by using Microsoft Azure AI.

View: The main challenges of advanced analytics

Comments

Popular posts from this blog

Leveraging your Microsoft assets in this remote access world

More of the workforce is working remotely than ever before. Organizations are adapting and implementing new remote access solutions. Now is the time to evaluate the Microsoft tools you already have at your fingertips and leverage the built-in remote work security features and capabilities. Read more in this article from National Law Review. Read More...

Wild & Wolf (video 3)

Fast growth is great for business but can also prove to be difficult to navigate. Doubling in size in just five years, Wild & Wolf had to quickly move out of their comfort zone and adapt to rapid change. In this third video of the series, watch how this innovative business overcame their growing pains and rose to the challenge to achieve great success. In order to remain successful, Wild &Wolf knew that keeping their systems up-to-date and efficiently moving data around their business would help them provide a more customer-centric experience. Dynamics 365 Business Central enabled them to stop reacting to fires, and to proactively anticipate the needs of their customers.