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Trends Data Analytics Professionals Should Pay Attention To In 2021

Predictions for AI and ML trends in data access, understanding new data, and executing information based on the data.

Data Digest: Bias, Ethics, and Analytics with Health Data

Biased algorithms in healthcare, concerns about big data ethics, and analytics around coronavirus risk.

Data Digest: Remote Collaboration, Data Science Practice, and ML in Email

Working with remote data scientists, practice projects to hone your skills, and how machine learning detects spam.

Don’t Forget the Back End of the Machine Learning Process

Not planning for putting models into production can lead to project failure or increase the amount of time needed to deploy a model.

Why Structured and Unstructured Data Need Different Security Techniques

Data is data is data, right? Not so fast. As Scott Lucas, head of marketing at Concentric, points out, enterprises need more than a one-size-fits-all approach to data security.

The Path to Pervasive Intelligence: 2021 Predictions

These three predictive-analytics milestones are worth watching out for in the coming year.

Data Digest: Risk Trends, Data Governance Processes, AI and Risk

How the pandemic affects risk trends, current challenges to enterprise governance, and using AI for risk management.

The Open Analytics Stack, the Next Wave of SaaS on Kubernetes, and the In-VPC Deployment Model: What We’ll See in 2021

As cloud adoption accelerates, users want the best of all possible worlds -- flexibility and ease of use along with tight security around their data. The virtual public cloud (VPC) may be the answer.

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