Remove 2007 Remove Analytics Remove Big data
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A review of purpose-built accelerators for financial services

AWS Machine Learning

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). The union of advances in hardware and ML has led us to the current day.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. As a baseline, we used the model that won our NFL Big Data Bowl competition on Kaggle.

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Time for a Research Renaissance?

CX Journey

2007-09-08 Today I'm pleased to share a guest post by Paul Laughlin. With regard to the cause of this "demotion," many cite the rise of executive interest in Big Data and Analytics. With regard to the cause of this "demotion," many cite the rise of executive interest in Big Data and Analytics.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning

For instance, it can reveal the preferences of play callers, allow deeper understanding of how respective coaches and teams continuously adjust their strategies based on their opponent’s strengths, and enable the development of new defensive-oriented analytics such as uniqueness of coverages ( Seth et al. ).

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Call Center Reporting - A New Paradigm

Xaqt

The innovation quagmire in the Call Center Reporting and Analytics space is rooted in three key issues: Vendor's who's contact center suites are an amalgamation of various acquisitions, such as: Cisco, Avaya, Genesys, NICE and Verint have done a poor job of providing integrated data and reporting across their own portfolios.

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BI with an IQ - Revisited

Xaqt

Cisco acquired the company in 2007 before we fully delivered on the vision, but recent developments in the market make now the perfect time to implement. Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. Rewind it Back Let's take a look back to 2005 when "Web 2.0"

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Top 25 SaaS Companies in Israel

SmartKarrot

It can store petabytes of data in a single blade, giving it mainframe capabilities. Since the corporation claims to provide system uptime and high availability, it is well suited to this type of storage for object storage and big data analytics applications. Founded in: 2007. Founded in: 2011. Founded in: 2011.

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