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Big Data & Analytics

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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.
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In September 2017, Oath, a Verizon company, announced that it would open source Vespa - a powerful but largely unknown big data processing and service engine. So what value does Vespa add to the big data analytics space? Here are some of our initial observations.
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.
Derek Rodriguez
A data lake can be tremendously beneficial to organizations looking to acquire enterprise-wide content from multiple sources and extract insights from it. In a recent project for a pharmaceutical client, we leveraged Aspire for Big Data to ingest over one petabyte of unstructured content into their data lake. Read the firsthand story from our architect.
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Big data analytics, machine learning, and AI have evolved rapidly, allowing enterprises to better use data to produce transformative results. We've seen the expansion of these technologies in our clients’ projects that combine search with NLP, machine learning, and big data to build AI-assisted systems. This blog summarizes some key points on “the rise of AI” and how it can impact your business.
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As we transition to Accenture, on November 1, 2017, we will be retiring Search Technologies’ social media channels and moving our conversations to Accenture Analytics. Follow us on our Accenture Analytics channels to continue getting the same search and big data analytics insight, news, blogs, and resources to which you've been accustomed.
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.
Kamran Khan
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.
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.
Graham Gillen
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.