TDWI Upside - Where Data Means Business

Data Science


Data Digest: Trends and Hiring in Data Science

How the role is changing, current salary trends, and which companies hire the most data scientists.

CEO Perspective: The Challenges and Benefits of AI

What lies ahead for BI and analytics and how can AI help? Anodot's David Drai shares his outlook on the role AI will play in your future enterprise strategy.

Data Digest: Applications for Retail, Utilities, and Manufacturing

The use of data science, predictive analytics, and machine learning is growing across industries.

Data Digest: Automation in Data Science and Machine Learning

How automation is helping data scientists, how users can understand automated machine learning, and how growth in machine learning and AI is changing business.

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.

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