Deep Learning meets Capital Markets

Deep Learning meets Capital Markets
Deep Learning meets Capital Markets

Real-time analytics and automation of communications data.

Accurate, effectively and timely communication is critical in the capital markets. re:infer automates the interpretation of communications, enabling real-time, scalable, efficient service, fulfillment and risk management.

Connection Line
The Context

THE CONTEXT

In the capital markets information is your edge. Firms typically generate tens or hundreds of millions of messages every year. Employees spend over half their day reading, writing, deleting and forwarding messages.

In the pre-trade space the firm doesn’t have the capacity to intelligently listen to clients across all the conversational touchpoints, weakening the capacity to prospect, onboard, drive engagement, sales and efficient execution.

In the post-trade space, every message is an exception to Straight-Through Processing (STP) and introduces operational risk. Without understanding, measuring and monitoring the flow of fulfilment in these currently opaque channels we cannot increase STP rates, drive self-service, automation and reduce cost base.

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THE SOLUTION

re:infer’s Deep Learning platform unlocks the value in your communications.

re:infer converts unstructured communications (emails, calls, chats, notes) into structured data in real-time allowing for analytics and automation.

In the Pre-Trade environment, re:infer is automatically discovering client intents, sentiments, trends and hidden relationships that translate into trading signals for front-office teams.

In Post-Trade Operations, re:infer is discovering manual processes, quantifying failures, highlighting root-cause errors, detecting incorrect reference data and providing a bridge to downstream automation.

Across the trade lifecycle, re:infer is revolutionising the way client data is processed, enabling new revenue streams and improved operating efficiency.

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The Solution

re:infer creates opportunities for growth

Automatic capture of management information

Automatic capture of management information

Machine-driven discovery of client and operations behaviour in real-time across millions of interactions.
Client-centric services

Client-centric services

Data-driven relationships that revolutionise the client experience.
Minimising the sources of latency

Minimising the sources of latency

Speed up understanding and processing from days to minutes.
Automation of manual processes

Automation of manual processes

Address the high and inefficient cost of human capital with straight through processing of repetitive manual tasks.

Make every conversation count

Pre-Trade Communications Analytics

Monitor client sentiment: real-time analytics on clients wants and needs Identify client demand: detect the drivers of value and failure demand Discover and act on product, pricing or research feedbackTrack and monitor your clients' view of the competition

Sales Optimisation

Discover and quantify the most effective up-sell and cross-sell drivers Recognise, share and reward attributes of high performing relationship managers Join conversational events across different touchpoints to monitor and improve the client journey

Post-Trade Operations Analytics

Discover and quantify all manual processes Uncover root-cause drivers for people, process, data and system failure Identify digital transformation and automation opportunities with greatest ROI Real-time monitoring of quality of service with counterparties

Compliance and Risk

Early detection and alerting to operational risk events Monitor adherence to regulatory requirements from KYC to AML & GDPR Alerts to low frequency high risk events Perform surveillance at scale

Automation

Make all communications data structured and actionable in the wider IT real-estate (RPA, CRM, CMS, SCV, ERP) Deliver straight through processing of requestsCognitive + RPA: amplify existing robotics installations with a cognitive front-end that can trigger processes

Advanced Client Analysis
Advanced Client Analysis
Connection

Tangible results.

Group Operations

Challenge

COO was tasked with implementing a board-level change programme: cut the operational cost base by 50% within 5 years.

Our Role

re:infer was selected to identify quality-of-service across all channels. Our cognitive intent platform was able to identify processes and workflows that are suitable for automation and transition to a digital operations infrastructure that is centered around real-time analytics, automation and self-service.

200 Million

Conversations Analysed

$135M

Projected Annual Savings

3,000,000

FTE hours per annum

100s

Facilitated end-to-end automated processes


Improve your results with re:infer