Artificial intelligence/machine learning (AI/ML) brings about the convergence of analytics, data science, and automation to accelerate successful digital transformations and fuel positive business outcomes. Building AI/ML applications is an iterative process that can be broken down into four key stages: Data sourcing, data preparation, model testing and deployment, and model evaluation.
Cloud computing platforms make it possible to train and test dozens of different models simultaneously to determine the ideal model. However, the availability of suitable data is still one of the most significant challenges that organizations and data scientists face.
The Denodo Platform is a logical data management solution that provides a centralized data access layer enabling anyone to find, access, integrate, and share data securely, in real time, regardless of where the data may reside.
In Forrester’s recent Total Economic Impact™ (TEI) of Data Virtualization Using the Denodo Platform, Forrester found that data preparation times for data scientists were reduced by 67%. Forrester’s TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
