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.
SEARCH AND BIG DATA INSIGHTS
Blogs by Search Technologies Chief Architect Paul Nelson, Subject Matter Experts, and Guests
Get our blog posts and industry updates delivered to your inbox, sign up for our free monthly Search & Big Data Newsletter or connect with us:
We are excited to announce that Search Technologies has joined Accenture Analytics. “It was obvious that there was a fit between our organizations’ vision, talent, culture, commitment to excellence, and to serving the customer,” said Kamran Khan, CEO of Search Technologies. In this blog, he discusses the journey that led us to join the team and help form a new Content Analytics group.
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.
Digital assistants like Alexa and Siri have enabled natural language interactions between humans and AI. So how can chatbots bring natural language understanding to improve information discovery and collaboration within the enterprise? This blog provides 5 key observations on the emergence of chatbots and their business use cases.
At Search Technologies, application assessments are the cornerstone of our approach to helping customers map out their roadmaps to successful search and big data projects. This blog provides an overview of our assessment process and why it is valuable to our customers.
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.
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.
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.
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.
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.