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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 thiltbrand@kyanicorp.com.

  


All articles by Troy Hiltbrand


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.

Five Roles for Your Data Science Team

To get the greatest value out of your organization’s data, your data science team needs to play five distinct roles: innovators, explorers, prototypers, optimizers, and responders.

How to Sell AI to Your Enterprise

Selling AI as a powerful solution for your enterprise is not always effective. Here’s how to focus your pitch to improve the chances your AI project will be funded.

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