5 Ways to Get Started with Artificial Intelligence and Machine Learning
Introduction
The time to get started with artificial intelligence (AI) and machine learning (ML) is now. Organizations across industries — as well as your competitors,...
Moving Productivity to the Cloud
Who this content is for
This eBook is for line-of-business executives and managers who are considering moving to a cloud productivity platform, as well as...
Turning Data into Unmatched Business Value
Organizations around the globe are looking to data to drive better outcomes. They want to better serve their customers. They want to develop better...
API strategy essentials
Introduction
When businesses consistently over-deliver on customer, partner, and employee expectations at moments when timely, personalized, and surprisingly delightful experiences are least expected, it could...
Value chain disruption in insurance
Executive summary
This whitepaper explores the “need for speed” within the insurance market and how the speed of change across all industries is demanding a...
Best practices for microservices
Executive summary
Today’s business environment is extraordinarily competitive. No company, no matter its size or what industry it is in is safe from disruption. It...
Automating business processes using APIs
Introduction
In today’s digitally disrupted economy, differentiation has become synonymous with convenience and speed. For example, in the financial industry, successful companies can now process...
How to Articulate the Value of Integration
01 Introduction
Integration has become a key determinant of who leads and who lags in today’s global economy. Businesses with cutting-edge integration strategies have raised...
7 Steps to better data quality management(Healthcare Service)
Executive Summary
Well-managed and protected data ensures the safety and effectiveness of business operations while protecting data and critical assets. Veeam® builds data management systems...
An Introduction to Machine Learning Training Data
This white paper is intended for executives who have either already invested or are planning to invest in machine learning within their organizations.
Introduction
Computers need...
