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SEARCH AND CONTENT ANALYTICS BLOG

Below is our collection of blog posts by our Innovation Lead Paul Nelson, subject matter experts, and guests.

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Kamran Khan
At KMWorld 2019 - the leading Knowledge Management conference - Kamran Khan discussed the “3 pillars of AI” and their practical impact on enterprise insight discovery. Watch the recorded session to learn more about these pillars and some exciting AI-powered search and analytics use cases. 
Steve Denny
A long-time Microsoft partner, we’ve supported the implementation of their evolving search solutions. Earlier this year, we were very excited when Microsoft announced the release of Microsoft search. Now, we can leverage Accenture's Aspire publisher for Microsoft search to help clients enhance content enrichment and access to 40+ content repositories.
Steve Denny
Aspire is our content ingestion and processing technology specifically designed for unstructured data - text, images, videos, audio. In this blog, our Aspire engineer introduces the latest innovations and updates available in our Aspire Content Processing 4.0 release.
mark stanger
As 80% of all enterprise data is unstructured, Intelligent Document Analysis can deliver tangible benefits across industries and business functions, such as improve compliance and risk management, increase internal operational efficiencies, and enhance business processes.
Carlos Maroto
In this blog, our search architect discusses how to implement a high-performing chemical search application, including reference architecture, search approaches, and other business and technical considerations.
Carlos Maroto
Chemical scientists increasingly look to leverage chemical search to find molecules or compounds similar to other molecules or compounds they are working with. And they need to find more, in less time. In this blog, our search architect discusses the business benefits and data preparation best practices for implementing a chemical search application.
Kamran Khan
At Intra.NET Reloaded Boston, our Managing Director, Kamran Khan, shared insights on how we are combining search with pragmatic AI technologies, specifically Natural Language Processing (NLP) and Machine Learning (ML), to create impactful outcomes in the digital workplace.
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For any search application, cloud or on-premises, good insight discovery always starts with good data preparation. We’ll discuss how Accenture Aspire Content Processing can work with Azure Blob Storage and Azure Cognitive Services to enrich unstructured data preparation for a better search and analytics experience. 
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The Adobe Experience Manager (AEM) connector is the newest addition to our growing range of connectors designed to support secure data connectivity between search engines and third-party repositories. Read more about the AEM connector's features and use cases.
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Enterprises are increasingly seeking innovative systems to better leverage unstructured, natural language content to deliver actionable business insights. We are pleased to introduce Saga – a scalable, easy-to-use natural language understanding framework that enables non-data scientists to create and maintain powerful and flexible enterprise language models for user interaction and document understanding.