Friday, 8 November 2019

Victory Fueled by Data - The winning combination of Mercedes-AMG Petronas Motorsport and TIBCO

Mercedes-AMG Petronas Motorsport has drawn from a combination of cutting-edge technologies and innovation, high-performance management and elite teamwork to win six consecutive FIA Formula One™ World Constructors’ and now six Drivers’ Championships.

Data is the team's life-blood, with the best solutions implemented to capture, store, secure, and analyse data. Working with TIBCO, the team is using visual analytics, machine learning and simulation models for the dyno and windtunnel to optimize car design and race strategy.

Learn from Geoffrey Willis, Mercedes-AMG Petronas Motorsport’s Director of Digital Engineering Transformation, on how they gain a competitive advantage with technology partners TIBCO and Pure Storage.

Discover more about the Mercedes-AMG Petronas Motorsport story here. In addition to the amazing work with Mercedes-AMG Petronas Motorsport, TIBCO is also recognized by Gartner as a leader in the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.

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Friday, 1 November 2019

Moody’s Analytics Credit Sentiment Score™ Solution

Moody’s Analytics, a leading provider of financial intelligence, today announced the launch of the Credit Sentiment Score™ solution, a new tool that uses natural language processing and textual analytics of news media to identify signals of credit impairment in companies.

“Credit analysts are looking for efficient ways to deal with the influx of information and to incorporate signals from alternative data into credit decisioning and analytics. The tool saves substantial time in sorting through news articles by extracting actionable insights from them.” More from Source

Big Data LDN 2019

Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts, ready to arm you with the tools to deliver your most effective data-driven strategy. For latest event updates check

Monday, 21 October 2019

Rapid Time to Value Is The Main Driver for Analytics Projects

Findings from MarketPulse survey by Matillion and IDG Research examine enterprise challenges in sequencing, processing and utilizing data. More from source

Sunday, 20 October 2019

Topical Keyphrase Extraction with Hierarchical Semantic Networks

Topical keyphrase extraction is used to summarize large collections of text documents. However, traditional methods cannot properly reflect the intrinsic semantics and relationships of keyphrases because they rely on a simple term-frequency-based process. Consequently, these methods are not effective in obtaining significant contextual knowledge. To resolve this, we propose a topical keyphrase extraction method based on a hierarchical semantic network and multiple centrality network measures that together reflect the hierarchical semantics of keyphrases. We conduct experiments on real data to examine the practicality of the proposed method and to compare its performance with that of existing topical keyphrase extraction methods. The results confirm that the proposed method outperforms state-of-the-art topical keyphrase extraction methods in terms of the representativeness of the selected keyphrases for each topic. The proposed method can effectively reflect intrinsic keyphrase semantics and interrelationships. Source Computation and Language

Monday, 7 October 2019

TEXT ANALYTICS SERVICE - Intelligent Tagging

Intelligent Tagging uses natural language processing, text analytics and data-mining technologies to derive meaning from vast amounts of unstructured content. It’s the fastest, easiest and most accurate way to tag the people, places, facts and events in your data, and then assign financial topics and themes to increase your content’s value, accessibility and interoperability. Connecting your data consistently with Intelligent Tagging helps you to search smarter, personalize content recommendations and generate alpha. Request details