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Across industries and use cases, organizations that have implemented ML report demonstrable return on investment and substantial business benefits ranging from better, faster data analysis to improved efficiency and cost savings.
The vast majority of early adopters — nearly 90 percent, according to one study — believe that ML provides a competitive advantage, and more than half of business leaders who participated in another survey expect that ML will determine their companies’ future success. It’s also worth noting that most early adopters say that ML enhances their cybersecurity efforts.
We’ve experienced this effect firsthand here at Google Cloud, where we use AI-powered methods to identify vulnerabilities and thwart attacks.
What Are the Top Uses of ML?
And more importantly what are the top use cases in your industry?
Find out more, including the return-on-investment enterprises are witnessing, and the tricks many early adopters are employing to fast-track their adoption of machine learning. Download this survey report now!
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These business and technology innovators are leveraging cloud computing, machine learning, APIs, collaborative platforms, among others to advance healthcare, financial services, retail, media and entertainment, manufacturing, and government. They include some of the biggest brands in the world, as well as some you've probably never heard of. But they all
Modernizing your data warehouse is one way to keep up with evolving business requirements and harness new technology. For many companies, cloud data warehousing offers a fast, flexible, and cost-effective alternative to traditional on-premises solutions. In a report sponsored by Google Cloud, TDWI examines the rise of cloud-based data warehouses
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