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How Machine Learning is Improving Business Intelligence

In this contributed article, Lauren Adley, writer and editor at Essay Writing In Australia, discusses how machine learning (ML) is improving BI. The ML ability to streamline operational processes is probably its most important way. With the help of intelligent IT automation, productivity boosts can be massive, and this is why this aspect of ML is attracting a lot of attention.

Qlik Expands Analytics and BI Leadership in AI and Machine Learning

Qlik® continues to lead the analytics and business intelligence industry in delivering AI (augmented intelligence) innovation that expands the value of Qlik’s platform for all users. With the November 2018 release of Qlik Sense®, Qlik has introduced new machine learning (ML) capabilities into its cognitive engine and platform. Precedent-based machine learning allows the Qlik cognitive engine to get smarter over time, continually learning from user interaction and feedback as well as other sources. Qlik is the first analytics company to bring AI and ML capabilities together with human intuition in a way that truly augments the user’s power to discover.

Yellowfin Introduces Automated Analysis and Cross-Vendor Storytelling Solutions

Yellowfin BI, the enterprise analytics company that gets customers to the why faster, announced the availability of Yellowfin Signals and Yellowfin Stories to help customers discover, understand, and act on real business opportunities faster than ever before.

Sisense Hunch Turns IoT Devices Into Supercomputers

Sisense, disrupting the BI market by simplifying business analytics for complex data, announced the launch of the patent-pending Sisense Hunch Data Cognition Engine (“Sisense Hunch”) from Sisense Labs. Sisense Hunch ‘learns’ massive data sets and can produce microsecond analytical responses to queries that are 99 percent accurate or better, with a tiny fraction of the cost and storage footprint.

Interview: Daniel Mintz, Chief Data Evangelist at Looker

I recently caught up with Daniel Mintz, Chief Data Evangelist at Looker to discuss his company’s latest major product release – Looker 6, a unified and extensible data platform that flexes and scales to the ever-changing needs of business.

Field Report: TIBCO NOW 2018

I was pleased to be on hand for the 2018 edition of the TIBCO NOW “Innovation at the Edge” conference in Las Vegas on September 4-6. This was my 1st time covering the show for insideBIGDATA, and I was eager to get the pulse of the event because you can tell a lot about the state of a company by attending their global user conference. I wasn’t disappointed!

Arcadia Data Drives GDPR Compliance With Modern Data Lake BI Architecture

Arcadia Data, provider of the visual analytics and BI software native to big data, announced that its flagship product, Arcadia Enterprise, which is defining the next era of analytics and BI for data lakes, offers capabilities that help address compliance for the General Data Protection Regulation (GDPR) through its robust governance features.

Survey: Enterprise IT Professionals Share Views on the Maturity of Their Big Data Deployments

Kyvos Insights, a big data analytics company, shared the results of a recent survey of information technology (IT) professionals at enterprises in the U.S. that explores their thoughts on, and experiences with, big data and business intelligence (BI) on big data adoption.

5 Business Intelligence Mistakes That Can Cost You Dearly

In this contributed article, Nilam Oswal, Software Analyst at SoftwareSuggest, discusses 5 important areas where mistakes that hinder the successful implementation of BI solutions. This estimated $14 billion industry is making inroads in various organizations, but there are still challenges that go with it. According to Gartner, “There still remains a 70% likelihood that a BI project will fail to meet expectations.”

AtScale Brings its Universal Semantic Layer to the AWS Cloud

AtScale announced the preview availability of its universal semantic platform for business intelligence (BI) on Amazon Redshift. With this offer, enterprises will gain faster time to insight by deploying Big Data Analytics on the Amazon Cloud and benefit from an enhanced ROI by running production-ready workloads on the cost-effective Amazon cloud platform.