PR86547

JERSEY CITY, N.J., Nov. 11, 2020 /PRNewswire=KYODO JBN/--

  -- 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