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New Breakout Roundtable Session Stimulates Deep Topic Discussion at DMS London
A new feature of this year’s A-Team Group Data Management Summit London was the Champagne Roundtable sessions, in which delegates were able to gather in small, informal groups for guided discussion on a range of data and technology issues facing financial institutions. The fully attended session was well-received by participants, each of whom were invited…
Datactics Survey to Gauge Data Chiefs’ Pressure to Adopt AI Amid New Risks
The headlong rush to adopt artificial intelligence poses multiple risks to financial institutions that don’t take the necessary preparatory steps before implementation. One potential source is the increasing AI-savviness of company employees. As they become accustomed to using the technology on consumer devices and websites, there is a greater risk they’ll inadvertently leak or compromise…
Informatica Expands Microsoft Fabric Tie-Up
Informatica has deepened its integration with Microsoft Fabric and launched a new Swiss data pod. The update provides general availability for the Intelligent Data Management Cloud to support Microsoft Fabric Open Mirroring. This integration enables customers to synchronise data from over 300 enterprise sources into mirrored databases with one click. Embedding this support helps organisations…
Stage is Set for 16th Annual Data Management Summit London
The 16th annual A-Team Group Data Management Summit London gets underway tomorrow morning, with another high-level gathering of industry experts to look over the state of play in data management within capital markets. A full-day of panel discussions, debate and networking will take place as well as a slew of keynote addresses from some of…
Inaugural AI in Data Management Summit NYC Sets New Benchmark in AI Discussion
A-Team Group’s inaugural AI in Data Management Summit NYC set a new benchmark in the global discussion around artificial intelligence. Leading figures from the worlds of finance and technology gathered in New York to share best practice guidance and observation, real-world case studies and forecasts for the exciting – and challenging – year ahead. The…
Embrace the Threat: How Software Firms Can Head Off ‘SaaS-pocalypse’
Recent stock market losses among software providers have prompted some analysts to predict a coming “SaaS-pocalypse” as software companies are threatened by artificial intelligence that can write code and build software quickly and cheaply. The doomsayers may be premature, however. While AI undoubtedly has the ability to supplant some of those firms, it also presents…
Experts to Take Stock of Data Silos and Lineage: DMS London Preview
Data fragmentation and lineage are two critical themes within data management that are intrinsically linked. Good data lineage can help overcome the impediments imposed by siloed data because it is an important aid in optimising data integration and utility. Both will be examined in detail by experts at A-Team Group’s 16th annual Data Management Summit…
Most City Mega Mergers Test Tech More Than Balance Sheets
By Gus Sekhon, head of product, FINBOURNE Technology. The City loves nothing more than a takeover tale as old as time. A US$2.5tn US asset management behemoth snapping up one of London’s most historic investment houses for £10bn sounds like a story of global ambition and deep pockets. The Schroders brand stays, the headquarters remains…
Archive360 Girds Clients for Demise of the Single-Provider Data Pipeline
The future is fragmented. So says George Tziahanas, associated general counsel and vice president of compliance at data governance platform provider Archive360, who argues that the days of monolithic, front-to-back, one-size-fits-all data services providers may be numbered. Artificial intelligence has become both the hammer to break up single-provider data pipeline technology and the glue to…
Risks and Opportunities of GenAI, Data Products Under the Microscope: DMS London Preview
Artificial intelligence has made it possible to extract critical data from unstructured sources at speed and at scale. But the headlong rush to adopt the sorts of tools that can mine this rich vein of information is exposing organisations to new risks. Generative AI, whose models are commonly applied to trawling PDFs, emails, financial reports…