The machine learning landscape is changing fast, with 60 percent of business and technology leaders reporting that they’ve already implemented an ML strategy. What does this mean for your organization, and what else do you need to know about the tools and techniques that are quickly reshaping business as we know it?
Our easy-to-read, data-heavy snapshot of ML’s role in business technology answers these questions and many others, featuring:
- New insights from recent studies commissioned by Google and conducted by third-party researchers
- Up-to-date information on everything from adoption rates and top use cases by industry to business benefits and ROI estimates
- Best practices for increasing the efficiency of your ML initiatives while reducing costs
- Guidance for every phase of your ML journey, whether you’re designing an experiment, making a case for large-scale implementation, or considering a partnership with a cloud provider
We think the research supports our long-held view that ML is essential to modern businesses’ ability to compete and survive. Flip through the report and see if you agree.