-- Delivering fast and reliable machine learning business solutions

ElectrifAi, one of the global leading companies in practical artificial 
intelligence (AI) and pre-built machine learning (ML) models, today announced 
that it is releasing one of the world's largest collections of pre-trained and 
pre-structured ML models for Amazon SageMaker to offer for sale. Amazon 
SageMaker is a fully managed service from Amazon Web Services (AWS) that 
provides every developer and data scientist with the ability to build, train, 
and deploy ML models quickly.

Logo - https://mma.prnewswire.com/media/1331976/ElectrifAi_Logo.jpg  

Delivering fast and reliable results, ElectrifAi is pleased to announce that 36 
pre-trained ML models for Amazon SageMaker have been added to AWS Marketplace. 
ElectrifAi's domain expertise across several verticals (including Banking, 
Financial Services and Insurance, Communications, Media, Entertainment, 
Healthcare and Consumer/Retail) coupled with 16 years of ML experience provide 
quick-to-deploy enterprise solutions. Clients can now see results in just days 
and weeks as opposed to taking 12 to 18 months since these solutions turn data 
into actionable insights.

AWS Marketplace users are now able to unlock insights on data using 
ElectrifAi's ML models that are based on industry specific use cases. This 
allows for rapid deployment, scaling, and generation of complex insights that 
drive immediate cost, profit, and performance improvement. Since 2004, 
ElectrifAi has been driving quick time-to-value and successful business 
outcomes. Customers have received out-of-the-box solutions that save them time 
and money compared to building models in-house. 

"We've been doing machine learning for 16+ years and have deep expertise across 
many verticals. Our machine learning models help our clients drive rapid cost, 
profit, and performance improvement," said ElectrifAi Chief Executive Officer 
Ed Scott.  

Through discovery conversations with clients, we help identify business 
problems that ElectrifAi clients are trying to solve and hope to achieve. After 
initial discussions and analyzing the data, ElectrifAi determines the 
appropriate use-case pre-trained model that most accurately fits the customer's 
requirements to achieve an expected outcome. Once a common data model is 
provided, ElectrifAi trains the model with client's data in their own 
environment to generate the signals related to the expected outcome. No model 
is 100% accurate; but with ElectrifAi's experience and domain expertise, the 
model can be hyper-tuned to fit the client's goals and risk tolerance. 
ElectrifAi calls such models "Pre-structured", as they require minimal 
modification and tuning. These Pre-structured models navigate the nuances that 
vary from client to client within a given industry. For churn mitigation as an 
example, ElectrifAi applies several pre-structured models for segmentation and 
propensity modelling. ElectrifAi has a long history of building ML models, 
hyper-tuning the models to achieve accurate insights, and orchestrating 
multiple models to build use cases to deliver successful business outcomes.  

Luming Wang, CTO, ElectrifAi says "We have a process we call the machine 
learning model factory with pre-trained, pre-structured, and brand-new models 
made to address client specific pain points. The model is explainable and tests 
for bias, resulting in easy-to-understand actionable insights that help solve 
real business problems." 

Jim McGowan, Head of Product, ElectrifAi says "When building a model for your 
company specific to an industry, we may already have some of the parts that we 
can provide very quickly with a lot of transparency so you can build on top of 
that and get where you're going much faster. You would also have the support of 
an additional team of data scientists who can help with re-training or 
customizations of these models. We're not just selling software, because we 
understand the domain and can build the models to solve for an end business use 
case. In a world of decreasing budgets and increasing demands, we can provide 
ready-to-go solutions while you work on other problems strategically important 
for your company." 

ML automates what people do manually when looking at large volumes of data, 
such as forecasting revenue, predicting demands, identifying and reducing 
customer churn, identifying high-quality customer prospects, fraud detection, 
risk management, advanced analytics, and natural-language-processing. These ML 
models can help companies achieve a successful digital transformation. 
ElectrifAi has done the hard work already. All that is left for the client to 
do is to run the data through these pre-trained or pre-structured ML models in 
their own environment and integrate the output into their own business 
applications. ElectrifAi's models for Amazon SageMaker available in AWS 
Marketplace are orchestrated together in a use-case to solve real business 
problems. 

The ML models in AWS Marketplace are available worldwide. Please click here ( 
https://c212.net/c/link/?t=0&l=en&o=2978169-1&h=4108234302&u=https%3A%2F%2Faws.amazon.com%2Fmarketplace%2Fsearch%2Fresults%3Fpage%3D1%26filters%3DVendorId%26VendorId%3Df507ce4d-fe9c-4f8f-afd4-13bd15a14496%26searchTerms%3DELECTRIFAI&a=click+here 
) to access our pre-trained models and our associated services to help 
accelerate ML adoption within your organization.

About ElectrifAi ( 
https://c212.net/c/link/?t=0&l=en&o=2978169-1&h=2225696177&u=https%3A%2F%2Felectrifai.net%2F&a=ElectrifAi 
)
ElectrifAi is a global leader in business-ready machine learning models. 
ElectrifAi's mission is to help organizations change the way they work through 
machine learning: driving cost reduction as well as profit and performance 
improvement. Founded in 2004, ElectrifAi boasts seasoned industry leadership, a 
global team of domain experts, and a proven record of transforming structured 
and unstructured data at scale. A large library of Ai-based products reaches 
across business functions, data systems, and teams to drive superior results in 
record time. ElectrifAi has approximately 200 data scientists, software 
engineers and employees with a proven record of dealing with over 2,000 
customer implementations, mostly for Fortune 500 companies. At the heart of 
ElectrifAi's mission is a commitment to making Ai and machine learning more 
understandable, practical and profitable for businesses and industries across 
the globe. ElectrifAi is headquartered in Jersey City, with offices located in 
Shanghai and New Delhi. 

SOURCE: ElectrifAi

CONTACT: Mark Veverka, mveverka@sitrick.com, +1 415-999-9634