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Technology Platforms & Connectors

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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.
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Watch Liam Cavanagh, Azure Search Principal Program Manager, discuss how combining Accenture’s Aspire Content Processing with Azure Cognitive Services helps accelerate unstructured content acquisition, processing, and enrichment for an enhanced Azure Search experience.
alex olaru
As the Google Search Appliance (GSA) is approaching its end-of-life, Google has announced its cloud replacement: Google Cloud Search. A Google partner with significant enterprise search expertise, we have been working with Google on the roll-out to learn about Cloud Search features, perform deployments for clients, and provide feedback for future evolution. Read about our engineer's first-hand review of Google Cloud Search.
Jonathan Blasenak
Solr vs. Elasticsearch has been discussed so frequently on our blog and within the enterprise search community. But as traditional enterprise search has evolved into what Gartner calls “Insight Engines,” we revisited this topic to provide the latest observations, including cloud deployments, integration with big data analytics, and cognitive search capabilities. Read on to find out the key criteria to consider if you’re weighing between Solr and Elasticsearch in 2018.
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Developed by our team at Accenture Applied Intelligence and our partner Microsoft, this demo leverages Aspire Content Processing and Azure Cognitive Services to enhance unstructured data preparation, enabling advanced, cognitive search functionalities in Azure.
Sundip Pradhan
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.
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We would like to announce that Aspire Community has been deprecated and is no longer available to the public. Read this post for more details on Aspire licensing changes and new features that are available with the new licensing models.
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In March 2018, we are pleased to announce the Aspire 3.2 Big Data Release, which delivers some innovative advancements that are worth noting. Key highlights include the successful integration with the Hadoop ecosystem as a Cloudera parcel and the use of HBase and MongoDB. The new functionalities bring unlimited scalability, making Aspire more compatible with the big data ecosystem.