Artificial Intelligence (AI) and Machine Learning (ML) have become competitive differentiators and a source of value generation for many companies. That explains IDC's recent prediction that 40% of transformation initiatives in 2019 are being enabled by AI/ML. With the volume of data increasing to support those analytics capabilities, companies must understand that what worked in the past may not work in the present.

Implementing ML can easily involve dozens of technologies, tools, and environments. AWS simplifies the process, enabling faster decisions, improved customer experience, and elimination of potential business risks. Start your strategy by ensuring you have the right database for the job and that your data lakes collect and store the information for better accessibility and use.

Analyze all your data for faster, deeper insights

When you have immediate access to the broadest and deepest set of analytics and machine learning, you can transform your data into value without compromising security or governance.