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Insights from the Chief Architect

Paul Nelson
In his years as a search engine programmer and architect, our Innovation Lead, Paul Nelson, has come across lots of business-critical as well as creative uses for search engines. Here’s a roundup of 10 prevalent search enterprise use cases he has helped organizations explore and implement over the years.
Paul Nelson
By implementing enterprise data lakes, companies have started to see multiple benefits. But to gain valuable insights from their data lakes, effective solutions are needed to help users find the right answers and relevant datasets from the massive amounts of data. Watch our Innovation Lead discuss how Natural Language Processing and search can help companies unlock the full value of the data lake.
Paul Nelson
Today's businesses hold large volumes of valuable data that provides immense insights to support business decisions, customer services, and operational efficiency. It can be daunting to manage this amount of data. And with the EU's GDPR being rolled out soon, businesses may face even more challenges to stay compliant. Here are 10 things you may be missing but probably should consider doing, and why.
Paul Nelson
What we often hear from our customers is “My projects don’t involve search, at least not yet.” From our experience, applications that handle analytics and large volumes of data can greatly benefit from search. This blog discusses six reasons why using a search engine can help solve problems and further advance big data projects.
Paul Nelson
This is the first blog in our "How Natural Language Processing and Semantic Search Are Changing the World” blog series. In this series, Chief Architect, Paul Nelson, will explore the different use cases in which Natural Language Processing and semantic search can bring more value, reduce costs, and increase productivity in the enterprise.
Paul Nelson
Quality analysis is critical in maintaining a data mining application's high performance. In this last part of our "Cruising the Data Ocean" blog series, Chief Architect, Paul Nelson, will discuss various quality analysis techniques and what you should consider when performing quality checks.
Paul Nelson
In part 5 of our "Cruising the Data Ocean" blog series, Chief Architect, Paul Nelson, provides an overview of some powerful search, analytics, and business intelligence (BI) applications you can build using the Internet data you have acquired and processed.
Paul Nelson
In part 4 of our "Cruising the Data Ocean" blog series, Chief Architect, Paul Nelson, provides a deep-dive into Natural Language Processing (NLP) tools and techniques that can be used to extract insights from unstructured or semi-structured content written in natural languages. Paul will introduce six essential steps (with specific examples) for a successful NLP project.
Paul Nelson
Data preparation is a critical step in your data mining project. In this third blog of our "Cruising the Data Ocean" series, Chief Architect, Paul Nelson, provides an overview of the data cleansing and formatting techniques you can use to get the highest-quality data for further processing and analysis.
Paul Nelson
In this second blog of our "Cruising the Data Ocean" series, Chief Architect, Paul Nelson, discusses popular techniques for acquiring Internet content to be used in data mining projects. He also provides general guidelines to help you decide whether one or a combination of techniques would be the best approach for your specific requirements.