Data Management Insight Data Science & Analytics The latest content from across the platform
Boosted.ai Raises $8 Million in Series A Funding
Boosted.ai, a distributed machine learning platform for investment managers, has closed an $8 million USD Series A financing round, led by Portag3 Ventures. Dunamu & Partners and Polar Equity Partners also participated in the round. Inclusive of seed capital, Boosted.ai’s total funding now stands at $11 million. Boosted.ai will use the funding to enhance Boosted…
Arria NLG Collaborates with BNY Mellon on Natural Language Technology
Arria NLG, a New York-based provider of Natural Language Generation (NLG) technology, has entered into a collaboration with BNY Mellon to help asset managers and asset owners transform their data into actionable analytics. Arria’s NLG capability, a form of artificial intelligence, is based on advanced computational linguistics and algorithms, which can automatically and instantly turn…
NatWest Markets Chooses Dataiku’s Data Science and Machine Learning Platform
Dataiku, an enterprise AI and machine learning platform headquartered in New York, has entered into a partnership with NatWest Markets, the investment banking arm of The Royal Bank of Scotland Group. Under the agreement, Dataiku will provide NatWest Markets with self-service analytics and automated machine learning. NatWest Markets has already developed digital self-service applications covering…
The Symbiotic Relationship Between Data and Technology: The Path to Building the Perfect Solution
By Charlie Heidlage, CLEAR Corporate Investigative Sales Partnership Manager, Thomson Reuters. The link between data and technology within Risk departments is an ever growing and evolving relationship. As data becomes deeper, wider and more complex, so must the technology solutions to handle and capitalize on this complexity. Our “Big Data” world not only allows for…
Debut Virtual Data Management Summit Highlights Industry Agility
In an extraordinary achievement that attracted over 1,000 delegates and well over 20,000 views, A-Team Group’s debut Virtual Data Management Summit went live last week to showcase the most cutting-edge content from an industry that has shown itself to be both resilient and responsive to the unique challenges presented by the ongoing coronavirus epidemic. Focusing…
Another Win for big xyt as Aquis Exchange Adopts Liquidity Cockpit
Subscription-based pan-European equities exchange Aquis has adopted the Liquidity Cockpit platform from data analytics specialist big xyt to support market structure analytics both internally and for its clients. The Liquidity Cockpit solution captures, normalises, collates and stores trade data at a high level of granularity, applying data science and advanced techniques to execution analytics to deliver…
Life After LIBOR – Keep Calm and Cover Your Contracts
The use of LIBOR is drawing to a close – but will you be a winner or a loser when it comes to dealing with the data management fallout from the transition? The move away from the world’s most widely-used interbank rate is raising all sorts of data challenges – and with considerable ambiguity remaining…
COVID 19: Services Directory
As the coronavirus crisis extends into the medium to long-term, technology vendors and solutions providers are stepping up to the plate with a wide variety of services and support for clients to assist them through the data management challenges presented by the new operational and working environment. Below, you can find these collated into an…
Do Banks Really Have their Data Houses in Order Ahead of Dividends Season?
By Annelotte De Nanassy, Senior Product Manager, SIX. With dividends season just around the corner, how many financial institutions can truly say they have full confidence in their ability to handle a sharp increase in corporate actions efficiently? The cyclical nature of dividend payments, updated several times in their lifecycle, means constant monitoring is required…
Recorded Webinar: Best practices for creating a data quality framework for your organisation
Bad data affects time, cost, customer service, cripples decision making and reduces firms’ ability to comply with regulations. With so much at stake, how can financial services organisations improve the accuracy, completeness and timeliness of their data? What approaches and technologies are available to ensure data quality meets regulatory requirements as well as their own…