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Choosing Augmentation Over Automation in AI

On the AI journey, automation is often the default, depopulated destination. We must consciously choose to empower humans via augmentation.

Data Digest: Future Data Scientists, Data Prep Problems, Data Science Hazards

One opinion on how data science jobs will change, a survey on current data preparation challenges, and three deadly sins to avoid in your data science practice.

CEO Q&A: Modern Platforms for Data Science

Too many enterprises try to implement data science applications without first deploying the right platform. Iguazio's Asaf Somekh explains why platforms are so important.

Data Digest: Using Machine Learning for Health Care

New studies are increasing interest in using machine learning to predict health outcomes and improve treatment.

A Cohesive Framework for Deploying Scalable AI Systems

As enterprises adopt AI, they'll need a sound deployment framework that enables security, compliance, and session management.

Data Digest: Unintended Consequences of New Technology

New technologies and techniques can bring great advances, or they can create malicious fake videos, traffic problems, and racial profiling.

Free Up Your Data Science Team with Augmented Data Management

To alleviate the drudgery of data preparation for your data science team, look for solution providers that are augmenting their data management platforms by using artificial intelligence, machine learning, and advanced analytics.

Guided Analytics and the Future of Data Science in the Enterprise

Using these four properties will help data scientists successfully establish the right environment for the next breed of smart applications.

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