Which Data Science and ML platform is best for your business?
Automated feature engineering and AI-powered data preparation are the key differentiators for a code-free or code-first approach to data science Innovation, data, and analytics leaders looking for the best data science and machine learning platform have a hard nut to crack! Selecting a data science and machine learning (DSML) platform, given how fragmented the market is, where every vendor claims to be the ideal enterprise AI platform can be jarring. The challenge is even more complex for organizations that are new to machine learning or a traditional BI background without predictive analytics experience. And ditto for application developers and software architects searching for Cloud AI services to leverage AI and ML using APIs. What are some of the technical features that they need to consider? Which platform capabilities are most important? Gartner recently published the magic quadrant report for DSML platforms and evaluated over 20 platform vendors from AWS SageMaker,…
