Alternative data holds great promise as a leading indicator of alpha. But in response to firms struggling with the data science aspects of integrating the data, various industry participants are pursuing new initiatives to make it more accessible,…
While tech advancements are being made, buy-side firms still rely on humans to make sense of alt data.
The last decade has seen Euronext chewed up and spun out following a series of mergers & acquisitions. Once again independent, Courbebaisse is writing the exchange’s IT roadmap.
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.
The suite of data and tools will allow sales organizations and investors to forecast sales activity, and hence company income.
Lauren Dillard was previously at Carlyle Group.
Assuming that automated artificial intelligence holds the key to unlocking fragmented datasets, the absence of standardized models coupled with regulatory concerns remain barriers to adoption.
The 35-year industry veteran will advise the vendor on product, strategy and business development.
Bloomberg’s Gerard Francis looks at the challenges that capital markets firms face when trying to incorporate alternative datasets.
M Data Viz provides granular data on weather events by state and region to support investment processes.
The technology giant is rolling out tools to asset managers who need to use machine learning but have limited in-house experience.
Sources say that this will allow the information giant to focus on more valuable business lines.
Metaxas has spent more than 20 years in senior sales roles at technology providers.
UBS Asset Management’s data chief sets out his recommendations for using alternative data in the investment process.
The ESG space is growing rapidly and gaining more attention, but one area that has been largely ignored by data providers is that of ESG information specific to fixed-income investors.
Lucena will provide a pre-packaged signal based on Wall Street Horizon's earnings dates revision data, for buy-side firms without the in-house resources to analyze the raw data themselves.
As alternative data companies battle for capital and a coveted spot in investment managers’ portfolio strategies, they are turning to bespoke marketing and partnerships to stand out in an industry where firms still struggle with data science resources.
Financial firms aren't the only organizations making strategic moves to overcome challenges and increase quality.
Bryan Cross, who heads UBS Asset Management's QED group, joins to discuss alternative data and AI.
Despite what some wireless carriers say, we’re still a few years away from a mass rollout of true 5G networks. While they will be revolutionary, right now it’s more hype than reality. WatersTechnology tries to look ahead to see how capital markets firms…
The crème of Waters’ coverage of emerging technologies from artificial intelligence to alternative datasets to tokenization.
At the recent Waters USA conference, panelists discussed the current wave of alternative datasets, and how getting the most out of them requires new tools and technologies.
The automotive dataset is the first of many predictive offerings planned that leverage existing data assets from the former IHS business for use by systematic investors.
The acquisition will combine the resources that each has assembled separately, and allow them to reach new audiences for their alternative datasets.