Corporate Wide Search

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. 

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.

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.

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.

In this blog post, we discuss how Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques can be used to create knowledge graphs, which can then power chatbots, question/answer systems, and search engines to deliver holistic enterprise knowledge and improve business outcomes.

Developed by our team at Accenture Applied Intelligence and our partner Microsoft, this reference architecture leverages Aspire Content Processing and Azure Cognitive Services to enhance unstructured data preparation, enabling advanced, cognitive search functionalities in Azure.

New innovations have been rapidly accelerated by big data analytics, artificial intelligence, cognitive computing, and machine learning. Interestingly, a common theme emerged: search is the stepping stone and enabler of these technologies. Read this blog to see how search opens new doors for insight discovery across all enterprise functions.

The Google Search Appliance (GSA) has reached its end-of-life. If you haven't started your transition planning, now is the time to do so. In this blog, our GSA expert discusses the top 5 considerations when replacing your GSA with an open source alternative, such as Elasticsearch or Solr. The discussion also touches on cloud-based GSA replacement options that can support scalability and cost-savings.

Data lakes bring together data from disparate sources, making it easily searchable in order to support your organization's information discovery, analytics, and reporting. But how do you put in place appropriate security measures to ensure your data is well-managed and protected? In this blog, our expert will discuss four key areas you should consider when implementing data lake security.

Top quality search accuracy is not achieved with technology alone or through a one-time “quick fix.” It can only be achieved with a careful, continuous improvement process that we refer to as Search Engine Scoring. In this blog, we will share practical details and best practices learned from a real-world search engine scoring process for SharePoint Online.