Story image

DataRobot achieves AWS Financial Services Competency status

DataRobot announced that it has achieved Amazon Web Services (AWS) Financial Services Competency status. 

This designation recognises DataRobot for delivery of effective solutions to help financial institutions identify, model, and assess risk, ensure monitoring and compliance with industry regulations, or help in surveillance or fraud monitoring.
 
Achieving the AWS Financial Services Competency differentiates DataRobot as an AWS Partner Network (APN) member that has demonstrated relevant technical proficiency and proven customer success, delivering solutions seamlessly on AWS. 

To receive the designation, APN Partners must possess deep AWS expertise and undergo an assessment of the security, performance, and reliability of their solutions.
           
AWS is enabling scalable, flexible, and cost-effective solutions for banking and payments, capital markets and insurance organisations, from startups to global enterprises. 

To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology Partners in the APN with deep industry experience and expertise.
 
DataRobot automates the data science workflow, enabling users to build and deploy highly accurate predictive models in a fraction of the time of traditional methods. 

Financial services companies use the DataRobot automated machine learning platform for a wide variety of uses cases, including model risk and validation, anti-money laundering, fraud detection, credit and re-payment risk, infrastructure monitoring, and prospecting. 

With DataRobot, financial services organisations can lower costs, and reduce exposure to regulatory fines and issues. 

OppLoans, a leading fintech platform, uses the DataRobot Cloud platform to deliver predictive models and underwrite processes that are more in tune with how consumers actually behave.

DataRobot also unveiled integrations with two AWS solutions, Amazon SageMaker and Amazon Redshift. 

Amazon SageMaker is a solution that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. 

With DataRobot and Amazon SageMaker, users of both solutions are empowered with key capabilities of rapid model development, automated machine learning, collaboration, and fast model deployment.
 
By adding Amazon Redshift as a data source, DataRobot makes it easy for joint customers to pull data from Redshift into DataRobot to successfully achieve deeper insights with automated machine learning.

White box losing out to brands in 100 GE switching market
H3C, Cisco and Huawei have all gained share in the growing competition in the data centre switching market.
Gartner names newcomer Exabeam a leader in SIEM
The vendor landscape for SIEM is evolving, with recent entrants bringing technologies optimised for analytics use cases.
52mil users affected by Google+’s second data breach
Google+ APIs will be shut down within the next 90 days, and the consumer platform will be disabled in April 2019 instead of August 2019 as originally planned.
Genesys PureCloud generates triple-digit revenue growth year on year
In Australia and New Zealand, the company boosted PureCloud revenue by nearly 100%.
Symantec releases neural network-integrated USB scanning station
Symantec Industrial Control System Protection Neural helps defend against USB-borne cyber attacks on operational technology.
IDC: Standalone VR headset shipments grow 428.6% in 3Q18
The VR headset market returned to growth in 3Q18 after four consecutive quarters of decline and now makes up 97% of the combined market.
Kidd made Ingram Micro executive for cloud
Barbara Kidd has been promoted to cloud general manager as the company signs new vendors to its Cloud Marketplace.
Open source will be the next big thing for the channel
Channel firms should be on the lookout for opportunities across open source and more diverse software offerings like software-defined containers and storage.