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TDWI Upside - Where Data Means Business

Contributor: Troy Hiltbrand


Troy Hiltbrand is the Chief Digital Officer at Kyäni where he is responsible for digital strategy and transformation. You can reach the author at [email protected].

 

  


All articles by Troy Hiltbrand


The Word of the Year in 2020 Will Be Augmentation

The upcoming decade will see revolutionary changes to business across industries. Much of that change will be driven through analytics; 2020 will be a launching point and will have a heavy focus on augmented analytics.

Synthetic Data: The Diamonds of Machine Learning

Refined and labeled data is imperative for advances in AI. When your supply of good data does not match your demand, look to synthetic data to fill the gap.

How to Grow a Data Scientist

With the advent of algorithmic business, data scientists are a critical resource for the organization of the future. Increased demand creates a tight labor market, forcing companies to look inward to develop their own data scientists.

Do Your Analytics Speak to You?

Advances in technology make it possible to deliver your analytics in a new way using natural language generation.

How to Incorporate Graph Analytics into Your Information Strategy

As data volumes grow and business information needs change, graph analytics can be a viable alternative to traditional analytics for specific problems. To assess whether graph analytics fits into your enterprise, you need to understand what graph analytics is and where you can use it.

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.

Automated Machine Learning and the Future of Data Science Teams

With the advent of automated machine learning, data scientists will need to adapt their role in the data science life cycle.

The Secret to Organization Data Science Success: Data Literacy

In today’s world, organizational data literacy is a critical component of a successful data science project. Here are the skills your end users must develop to become data literate.

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