Why Strategic Partnerships Are Key to AI and ML Success
Written by Quantexa
|
Published: 8th Apr 2020
Artificial intelligence (AI) and machine learning (ML) technology firms’ channel strategies have become increasingly reliant on strong strategic partnerships and trusted resellers. AI and ML rely heavily on huge volumes of data, making good data providers a requirement for any successful business. It is critical to select best-of-breed companies who can bring data-driven value to the technology platform.
Read the full article in Software Business Growth.
You may be interested in…
Context and the fight against forced labor, modern slavery and human trafficking
How Banks Can Use Data to Emerge From the Crisis Ahead of the Competition
Banks are among those hardest hit by the pandemic. Find out how to seize the opportunity to accelerate out of this crisis and emerge more profitable and well-balanced organizations
How to Adapt to a Changing World Using Situational Awareness
As COVID-19 continues to impact our global economy, financial institutions are under increasing pressure to service unprecedented demand from their business customers. Situational awareness empowers you to overcome new challenges, protect your organization against emerging threats, and seize new opportunities.
How can we overcome the threat of mule fraud during COVID-19? (Part 1)
The way in which criminals operate is shifting as a result of COVID-19. Financial institutions must adapt to change quickly to prevent criminals from using mule fraud to take advantage of the vulnerable.
AML for financial markets: The paradigm shift to contextual monitoring
Industry expert Scott Nathan, Head of Innovation for AML and Risk at State Street, has been working with Quantexa on a new approach to AML in markets, one that harnesses contextual decision intelligence for more efficient and effective risk detection in financial markets.
COVID-19, organized crime and managing financial crime threats
As many legitimate businesses worldwide continue to adjust to new ways of working during the COVID-19 pandemic, criminal organizations are ahead of the curve in adapting their operations to take advantage of arising opportunities.
Better decisions start here
See how our Contextual Decision Platform transforms every operational decision you make.
Related Solutions
Anti-Money Laundering
Reveal hidden risks and detect criminal activity faster. Reduce false positives to manage the cost of compliance. And improve investigations to make faster and more consistent decisions at scale.
Fraud
Identify potentially fraudulent activity by looking at people or transactions in isolation. Understand the context surrounding the organizations you do business with to make fast, accurate decisions.
Credit Risk
Understand your customers, their business structures and supply chains. Make better lending decisions, faster. And support digital risk transformation.
Know Your Customer
Reduce significant manual effort across onboarding, refreshes and remediation. Automate checks, implement continuous monitoring, and focus on contextual decision making.
Customer Intelligence
Generate a complete view of the context around your customers and prospects to build better relationships, reduce attrition and find hidden opportunities.
Master Data Management
Connect all data—internal and third party—to create a joined-up, contextual view of all the relationships between your customers and every other domain.
Compliance
See how we help to reduce costs and improve coverage for financial crime compliance.
CDO
See how our platform uses contextual analysis to turn data into a high value asset.
CIO
See how our platform uses financial crime technology to enhance your existing IT ecosystem.