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.
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.
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.
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.
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.
As online users have become so accustomed to Google search, your shoppers will expect similar e-commerce site search quality. In this blog, our e-commerce expert will discuss some practical techniques on how to maintain and tune Oracle Endeca, a common e-commerce site search platform, for better engagement and conversion rates.
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.
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.
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.
Search Technologies has been attending and presenting at Lucene/Solr Revolution for nearly ten years, with our Chief Architect, Paul Nelson, being a staple on the agenda. But why weren’t we there in 2017? If you were wondering, read this blog to find out. And if you missed our Paul's presentation this year, check out how you can view it in this blog.