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TDWI Upside - Where Data Means Business

Data Science

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.

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.

Data Digest: Data Scientist Hiring, Retention, and Skills

How the data science hiring market is changing, how to retain data scientists, and what new skills data scientists need.

Data Digest: Data Science, Predictive Analytics, and Deep Learning in Health

Should doctors have data science skills, predicting healthcare risks, and detecting vision problems with deep learning.

Data Digest: How Jobs and Businesses Are Changing for ML, AI, and Data Science

New job advice for AI/ML specialists, how data science skills are changing, and how businesses can react to emerging algorithms.

Data Digest: Data Scientist Titles, Recruiting Data Scientists, How to Get Started

What is meant today by “data scientist,” tactics for filling skills gaps, advice for those starting out in data science.

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