MOUNTAIN VIEW, Calif.,
Aug. 20, 2019 /PRNewswire/
-- H2O.ai, the open source leader in AI and machine learning
for the enterprise, today announced the latest release of its
award-winning automatic machine learning platform, H2O Driverless
AI. Key new capabilities include the ground-breaking ability to
create recipes to extend and customize the platform; model
administration and collaboration for management and deployment of
models; and new explainable AI capabilities for fairness and bias
checks. H2O.ai also announced more than 100 open-source recipes
that can be used for customization and extension of Driverless AI
to empower customers to address specific nuances in their use cases
and the ability to include their domain expertise in order to make
their own AI. H2O.ai also is pleased to announce its next round of
funding led by Goldman Sachs and Ping An.
"Every company needs to be an AI company. Our mission to
democratize AI and empower all of our customers to be AI
superpowers is one step closer with Bring Your Own Recipes in
Driverless AI. Domain Experts can participate in the AI revolution
that is transforming every vertical. We have created over 100 open
source recipes, that are design patterns for AI and curated by our
Grandmasters, Data Scientists and Domain Experts. We are excited to
co-innovate with the community of customers to enhance and nurture
an AI ecosystem," said Sri Ambati,
CEO and Founder, H2O.ai. "Our makers have been innovating
relentlessly to simplify the AI to help with the scarcity of talent
and time, and to bring trust, and explainability. This is a quantum
leap in the fast-moving AI and autoML space."
"We are expecting a rapid adoption of AI in capital markets, as
AI models started demonstrating ROI," said Ediz Ozkaya, Head of Machine Learning Stats at
Goldman Sachs. "H2O.ai is at the forefront of the space with
Driverless AI, which enables us to inject our domain-specific AI
capability into the platform in a consistent manner while
protecting in-house IP and staying compliant."
"H2O Driverless AI speeds up machine learning by automating our
data science workflow. With the new recipe capability, we can
extend and customize the platform to meet our needs, such as
estimating the prepayment risk of underlying loans in fixed-income
assets like mortgage-backed securities," said Chris Pham, Senior VP Data Management and Data
Science at Franklin Templeton.
"Driverless AI is helping us accelerate our AI journey."
Make Your Own AI with Recipes for Every Use Case
In
the last year, Driverless AI introduced time-series and NLP recipes
to meet the needs of demanding business. The new
bring-your-own-recipe capability ensures data scientists now can
quickly customize and extend the Driverless AI to make their own AI
with customizations – models, transformers, and scorers, extending
the platform to meet any data science requirement. These customized
recipes are then treated as first-class citizens in the automatic
feature engineering process and eventually creating the winning
model. With recipes domain experts now have more options to solve
their data science problems and to make their own AI by enabling
them to address a variety of use cases ranging from credit risk
scoring, customer churn prediction, fraud detection, cyber threat
prevention, sentiment analysis and more.
H2O.ai also announced the availability of the first set of
vertical specific solutions: anti-money laundering, customer 360
& malicious domain detection. In addition, customers can
explore and consume over 100 open-source recipes, curated by Kaggle
Grandmasters at H2O.ai.
"We are pleased with the recipe feature added to H2O Driverless
AI," said Yan Yang, VP of Data
Science at Deserve. "We can be more creative in how we evaluate and
serve those new to credit with the ability to customize and extend
the platform to meet our unique needs."
Model Operations, Administration, Collaboration
As
data science practices mature, the need for model management,
deployment, and monitoring across enterprises has increased. This
involves bringing together different groups in an organization to
work together in a seamless fashion to build, review and handoff
models for deployment. Project Workspace in Driverless AI
enables data scientists to collaborate on different projects, build
models, tag and version them appropriately for DevOps and IT that
can then deploy these models to different environments in a highly
scalable and robust manner. In addition, H2O announced a new module
for Model Admin that enables models that are deployed to be
monitored for system health checks and also data science metrics
around drift detection, model degradation, A/B testing, and provide
alerts for recalibration and retraining.
Explainable AI: Fairness and Bias Checks
H2O
Driverless AI provides robust interpretability of machine learning
models to explain modeling results. H2O Driverless AI now has added
the ability to perform disparate impact analysis to test for
sociological biases in models. This new feature allows for users to
analyze whether a model produces adverse outcomes for different
demographic groups even if those features were not included in the
original model. These checks are critical for regulated industries
where demographic biases in the data can creep into models causing
adverse effects on protected groups.
H2O Driverless AI provides interpretable-by-design models
including linear models, monotonic gradient boosting and RuleFit.
In its machine learning interpretability module, Driverless AI
employs a host of different techniques and methodologies for
explaining the results of its models like K-LIME, Shapley, variable
importance, decision tree and partial dependence views.
"In a regulated industry such as banking, the ability to explain
what any model does is an absolute requirement. Decisions made by
models must not only be sound but also must be fair. The team at
H2O.ai has tackled this with machine learning interpretability and
disparate impact analysis to detect bias and fairness. H2O.ai by
far has the most sophisticated and complete tools to address these
critical requirements for data scientists today," said Agus
Sudjianto, EVP and Head of Corporate Model Risk at Wells Fargo.
AI to do AI
H2O Driverless AI empowers data
scientists, data engineers, mathematicians, statisticians and
domain scientists to work on projects faster and more efficiently
by using automation to accomplish tasks that can take months and
can now be reduced to hours or minutes by delivering automatic
feature engineering, model validation, model tuning, model
selection and deployment, machine learning interpretability,
time-series, NLP and automatic pipeline generation for model
scoring, and now bring your own recipes and model operations and
administration.
The new innovations and capabilities will enable customers to
accelerate their AI transformations in every industry including
Financial Services, Retail, Insurance, Marketing and
Healthcare.
As highlighted by Forrester Research, H2O.ai "Is best for
companies that want to delight data science teams," write Forrester
Analysts Kjell Carlsson and
Mike Gualtieri in The Forrester New
Wave: Automation-Focused Machine Learning Solutions, Q2 2019.
H2O Driverless AI's latest version is available for download and
use here.
Connect with H2O.ai
- Download Driverless AI for a free 21-day trial
- Visit us to learn more: www.h2o.ai
- Follow us on LinkedIn and Twitter @H2Oai
- Watch the event on Tuesday, Aug.
20th at 5pm
ET/2pm PT
- Tune into What's New with Driverless AI Webinar on
Thursday, Aug. 22, 2pm ET/11am PT
Finally, H2O.ai also announced a new round funding from Goldman
Sachs (NYSE: GS), the Ping An Global Voyager Fund
(OTCMKTS: PNGAY) and continued investments from Wells
Fargo (NYSE: WFC), NVIDIA (NASDAQ: NVDA) and
Nexus Venture Partners. See the news at
https://www.h2o.ai/company/news/
About H2O.ai
H2O.ai is the open source leader in AI
and automatic machine learning with a mission to democratize AI for
everyone. H2O.ai is transforming the use of AI to empower every
company to be an AI company in financial services, insurance,
healthcare, telco, retail, pharmaceutical and marketing. H2O.ai is
driving an open AI movement with H2O, which is used by more than
18,000 companies and hundreds of thousands of data scientists. H2O
Driverless AI, an award winning and industry leading automatic
machine learning platform for the enterprise, is helping data
scientists across the world in every industry be more productive
and deploy models in a faster, easier and cheaper way. H2O.ai
partners with leading technology companies such as NVIDIA, IBM,
AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud
of its growing customer base which includes Capital One,
Nationwide, Walgreens and MarketAxess. H2O.ai believes in AI4Good
with support for wildlife conservation and AI for academics. Learn
more at www.H2O.ai
Media Contact:
Russell
Castronovo
Russ.castronovo@H2O.ai
408-391-9632
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