About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Briefs

JamLabs to Launch Online Data Selling Platform

Subscribe to our newsletter

Toronto-based JamLabs Data Science, a full-stack data science solution and advanced analytics provider, is launching jShop, a cloud-based product management platform that will enable companies to monetise their valued data by creating online white-labelled stores.

jShop’s adapters will allow customers to quickly load and publish their data catalog from major platforms like AWS, Snowflake, and Databricks, reducing onboarding time from weeks to days, according to the company. Clients will be able to create licenses that charge according to gigabyte accessed, or based on slices selected by customers.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Reviewing the Latency Landscape and the Next Generation of Ultra-Low Latency Infrastructure

Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening across sell-side desks, electronic market makers, and an expanding range of buy-side participants. The technology landscape...

BLOG

DTCC Takes Core Clearing Infrastructure to Public Cloud in Landmark Migration

The Depository Trust & Clearing Corporation (DTCC) is migrating core clearance and settlement systems to a public cloud infrastructure for the first time, in a move that marks one of the most significant architectural shifts in US post-trade infrastructure since the organisation’s formation. The announcement, made on 15 April, confirms that DTCC will use Amazon...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...