Friday, March 5, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Digital Matrix Systems and ZestFinance ring machine learning to cre…

September 17, 2019
in Machine Learning
Digital Matrix Systems and ZestFinance ring machine learning to cre…
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter


Digital Matrix Systems (DMS), an international risk management firm specializing in support of the entire data management life cycle, including secure access to credit bureaus and data providers, data storage, and analytics, announced a partnership today with ZestFinance, the leader in artificial intelligence (AI) software for credit.

The two companies are integrating Zest Automated Machine Learning (ZAML) software with Data Access Point™, a DMS platform that makes it easy to create and deploy credit attributes and scorecards for automated decisions, risk assessment, and probability calculations.

You might also like

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

UVA doctors give us a glimpse into the future of artificial intelligence

ML credit models improve on traditional methods by using 100 times more data signals and sophisticated math to make more good loans and fewer bad ones. ZAML customers see an average 15% increase in approval rates with no added risk, as well as increases in booked loan rates due to more competitive pricing. Lenders using ZAML for risk reduction average 30% reductions in charge-off rates.

Getting these results from ML requires secure, consistent access to clean data, which is where DMS excels. Zest’s strength is in making ML transparent and safe to use. Together, DMS and Zest are making trusted ML credit scoring instantly accessible to thousands of lenders. DMS provides connections to more than 20 loan operating systems (LOS) and has connections with more than 40 data providers and all three credit bureaus. Lenders that rely on DMS to get the right data into their credit models can now switch to high-performing ML models with confidence that the results are accurate and compliant with lending rules and regulations.

”I believe this partnership will bring tremendous value to our clients,” said Mark Dreux, head of strategy and business development at DMS. “The ability to pair Zest’s ML capabilities with DMS’ standardized and normalized attributes, as well as our clients’ custom attributes via our CreditAnalyst™ tool, will be a big win for lenders in support of their risk management efforts.”

“This partnership will remove a big challenge of doing ML — getting the right data in the right format,” said Douglas Merrill, CEO and founder of ZestFinance. “Together we can help more lenders use ML to approve more good borrowers and control their underwriting risk.” 

Credit: Google News

Previous Post

Skidmap malware buries into the kernel to hide illicit cryptocurrency mining

Next Post

Sounding Out Car Noises and AI Autonomous Cars

Related Posts

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027
Machine Learning

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

March 5, 2021
2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Machine Learning

2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

March 5, 2021
UVA doctors give us a glimpse into the future of artificial intelligence
Machine Learning

UVA doctors give us a glimpse into the future of artificial intelligence

March 5, 2021
Machine intelligence – Spy agencies have high hopes for AI | Science & technology
Machine Learning

Machine intelligence – Spy agencies have high hopes for AI | Science & technology

March 5, 2021
AI and machine learning’s moment in health care
Machine Learning

AI and machine learning’s moment in health care

March 4, 2021
Next Post
Sounding Out Car Noises and AI Autonomous Cars

Sounding Out Car Noises and AI Autonomous Cars

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Accellion zero-day claims a new victim in cybersecurity company Qualys
Internet Security

Accellion zero-day claims a new victim in cybersecurity company Qualys

March 5, 2021
How to Meet the Enterprise-Grade Challenge of Scaling AI 
Artificial Intelligence

How to Meet the Enterprise-Grade Challenge of Scaling AI 

March 5, 2021
Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027
Machine Learning

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

March 5, 2021
GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines
Internet Security

GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines

March 5, 2021
Convergence of AI, 5G and Augmented Reality Poses New Security Risks 
Artificial Intelligence

Convergence of AI, 5G and Augmented Reality Poses New Security Risks 

March 5, 2021
2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Machine Learning

2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

March 5, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Accellion zero-day claims a new victim in cybersecurity company Qualys March 5, 2021
  • How to Meet the Enterprise-Grade Challenge of Scaling AI  March 5, 2021
  • Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027 March 5, 2021
  • GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines March 5, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates