Don't Buy Data – Invest In It
Is your organization looking for an investment with high potential yield and the lowest possible risk? Learn why the best investment is data.
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Provenance in COVID-19 Data
Video demonstration of our process for data provenance and capturing data directly from the source.
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Using Data to Combat COVID-19
The psychology behind the resistance against social distancing, and how data scientists can leverage data on COVID-19 to help during a global pandemic.
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The Importance of Mental Closeness While Social Distancing
Working from home? So is the team at TDW. We want to do our part to flatten the curve by social distancing so here's how we facilitate mental closeness.
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5 ways to keep productivity up while working remotely
Working remotely shouldn’t mean sacrificing productivity. Here are some tried and true methods to get the most out of working from home.
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NLP and ML to Neutralize Human Error in Data
Discover the enterprise use case for deep learning entity matching with ThinkData's entity resolution tool kit that connects disparate data.
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How to Solve the Biggest Challenges in Enterprise AI
Leveraging a holistic data strategy helps your organization avoid the common pitfalls of AI adoption in the enterprise. Success depends on six pillars...
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MaRS & ThinkData Apply Machine Learning to Ontario Businesses
The MaRS team is using ThinkData’s technology to link records across multiple sources to understand Canadian start-up and scale-up activity.
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(Re): Softbear Developer at ThinkData Works
ThinkData Works provides the best data – through our platform and to our new employees. Take a look at our offer letter to see just a few of the perks.
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The Data Behind Love #ValentinesDay
A data analysis on how business are tapping into social media data in order to fuel their holiday marketing initiatives to increase sales.
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ThinkData on Entity Resolution at TMLS 2019
See Data Scientists Hoyoung Jang and Cheng Lin speak on scaleable entity resolution at TMLS 2019.
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The Difference Between Data Cleansing and Data Enrichment
There are plenty of steps between raw data and data that's ready for modeling & analysis – here's difference between data cleansing and data enrichment.
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