Refinitiv Invests in ModuleQ and its Intelligent App

Technology Provider Technology Provider A technology provider is an individual, company, or entity that creates, render services and sells software applications or hardware. Currently, there are four types of tech providers which are as followed:Software-as-a-Service (SaaS) – Functioning as a subscription-based licensing and delivery model, SaaS is centrally hosted and may also be referred to as on-demand software. Tech Hardware – Powerful tech providers such as Apple, Oculus Rift, FitBit, and Samsung are examples of tech hardware pro A technology provider is an individual, company, or entity that creates, render services and sells software applications or hardware. Currently, there are four types of tech providers which are as followed:Software-as-a-Service (SaaS) – Functioning as a subscription-based licensing and delivery model, SaaS is centrally hosted and may also be referred to as on-demand software. Tech Hardware – Powerful tech providers such as Apple, Oculus Rift, FitBit, and Samsung are examples of tech hardware pro Read this Term Refinitiv is deepening its partnership between ModuleQ and Refinitiv data and tools to provide proactive, workflow-relevant content to professional services users in Microsoft Teams, the company announced today.

The firm invested in and entered a strategic partnership agreement with ModuleQ.

ModuleQ is a Microsoft partner for Office 365 and Microsoft Teams. Its intelligent app predicts users’ current priorities while working in Microsoft Teams to deliver timely and relevant content, news, and Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term.

The partnership will help provide proactive, mission-critical business information to professionals across industries.

Refinitiv and ModuleQ have collaborated since 2018, using their machine learning and analytics capabilities to provide proactive insights via the ModuleQ app by leveraging Refinitiv Intelligent Tagging and Refinitiv Knowledge Graph.

Through this collaboration, the company plans to continue to integrate select Refinitiv content, enabling the ModuleQ app to extract important business insights related to the fast-changing priorities of individual professional users.

“The difference between winning and losing a customer or a deal for an advisor, particularly in these markets and working virtually, is being first with news and unique insights that are most relevant,” said Ben Sheperd, Chief Strategy and Innovation Officer at Refinitiv.

“With ModuleQ, we look forward to getting our data and tools to customers where they work, as they need it in fast-growing Microsoft Teams. We see great possibilities for customers in deepening our partnership with David and his team at ModuleQ,” he added.

Artificial Intelligence

David Brunner, CEO at ModuleQ, said that this investment by Refinitiv is the realization of using AI to surface the information professionals need before they know it’s even available.

He believes that companies are looking to Microsoft Teams to make them work smarter and that ModuleQ’s AI makes that even easier.

ModuleQ’s Personal Data Fusion TM AI is based on data fusion technology. The Microsoft partner’s enterprise solution is delivered as a virtual application within a customer’s secure instance of Microsoft Azure and behind the customer firewall.

Refinitiv machine learning solutions help to power the Q application and are comprised of Refinitiv Intelligent Tagging, which uses natural language processing (NLP), text analytics, and data-mining technologies. This is to derive meaning from large amounts of unstructured content, including news articles, and Refinitiv Knowledge Graph, a linked data feed of the Refinitiv financial content sets.

The financial content sets come with a pre-identified set of relationships helping customers to uncover previously undetected connections with and across data sets.