360Quadrants,
the world’s only comparison platform that combines expert analysis with
crowdsourced reviews, has released a quadrant on AI in Fintech solutions to help businesses make quicker and more
informed decisions.
Artificial Intelligence (AI) in
Fintech refers to the
theory and development of computer systems capable of performing
finance-related tasks that usually require human intelligence. It is an
application of AI technology used in the financial sector to design investment
strategies, detect anomalies with pattern & voice recognition, and conduct
market analysis with data mining. The AI in Fintech solutions market for this
quadrant is defined as the summation of AI-enabled Fintech solutions and
services.
For this quadrant, the components of AI in Fintech are mainly segmented
into solutions and software. Major application areas of AI in Fintech solutions
are virtual assistants, business analytics & reporting, and customer
behavioral analytics. These solutions have been analyzed based on cloud and
on-premise deployment.
DataRobot has been identified as
an emerging company in the AI in Fintech space given its extensive product
features, high product quality, reliability, suitable channel strategy, and
wide geographical footprint. 360Quadrants also lists competitors
of DataRobot in the AI in Fintech space.
AI
in Fintech offerings from DataRobot aim
to deliver valuable insights and intelligence from data. The company has an
established product portfolio with a robust market presence and business
strategy. Some
of the major developments of the company include:
DataRobot and Korea Credit Bureau team
up to build better models for credit scoring
DataRobot,
a pioneer in automated machine learning, has made arrangements for an automated
machine learning platform for use by the Korea Credit Bureau (KCB). This system
will enable the KCB to undertake swift yet accurate development of credit
evaluation models. KCB is a South Korean credit information company that is comprised
of 18 major companies in the financial industry.
By
adopting DataRobot’s automated machine learning solution, KCB will be able to streamline
the process of model development for credit evaluation and prediction and make models
more accurate.
The
implementation of this solution allows for seamless automation of the procedure
required for building machine learning models. DataRobot capable of identifying
ideal algorithms swiftly and ranking models while comparing training result predictions
to actual results.
Through
this upgrade, DataRobot will reinforce the development of integrated platforms
for financial analysts, underwriters, marketers, and other FinTech personnel,
and also aid enterprises in detecting and preventing fraud.
Automated machine learning platform
by DataRobot will scale AI applications for Precision Marketing Asia Pacific
DataRobot
and Precision Marketing Asia Pacific are working together by using DataRobot’s automatic
machine learning platform for the automation of developing and operationalizing
Artificial Intelligence (AI). Precision Marketing Asia Pacific will rely on DataRobot
for building and deploying machine learning models at scale in order to better
understand the prospects that their customers should target for a campaign. This
will subsequently lead to a significant increase in ROI.
Precision
Marketing is a marketing organization that uses data to run campaigns for customers
throughout APAC. Their teams will now be able to leverage DataRobot in order to
automate and scale efforts for machine learning while giving data scientists freedom
to work on more strategic projects.
Automated
machine learning will give a boost to predictive models developed by Precision
Marketing, allowing them to optimize the efficiency of marketing programs for
their customers. DataRobot’s solution also enables the delivery of more updated
functionality that includes cross-validation as well as text mining. This will lead
to a significant performance boost and better in-business efficiencies.
