3 Keys to Successful AI and ML: Democratized, operationalized, responsible AI and ML outcomes
How to succeed with artificial intelligence and machine learning
A growing number of companies, from emerging startups to established enterprises, are deploying artificial intelligence (AI) and machine learning (ML) to boost innovation and competitive advantage. So, while AI and ML investments are predicted to top $200 billion by 2025, companies want assurances that their initiatives will bear fruit. This eBook details how democratization, operationalization, and responsibility—the three keys to effective adoption—promote successful outcomes.
Read More
By submitting this form you agree to Amazon Web Services: AWS contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Amazon Web Services: AWS web sites and communications are subject to their Privacy Notice.
By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@techpublishhub.com
Related Categories: AIM, Analytics, Applications, Artificial Intelligence, Big Data, Cloud, Cloud Computing, Collaboration, Compliance, DevOps, ERP, Machine Learning, NAS, Network, Project Management, SAN, Software, Storage
More resources from Amazon Web Services: AWS
AWS Cloud Economics Introductory Guide
Discover the full potential of AWS Cloud and ways to maximise business value with this infographic.
7 Machine Learning Use Cases
Businesses have the opportunity to unlock significant value across the organization with the help of machine learning and AI.
Follow the prov...
Data-Driven Reinvention
This eBook covers the benefits of becoming data-driven and the three stages that will get you there. Organizations that are data-driven are reinven...