PR93036

JERSEY CITY, N.J., Nov. 15, 2021 /PRNewswire=KYODO JBN/ --

-- Delivering fast and reliable machine learning business solutions.

ElectrifAi, one of the world's leading companies in practical artificial

intelligence (Ai) and pre-built machine learning (ML) models, today announced

availability of Computer Vision (CV) and Machine Learning as a Service (MLaaS)

for the Oil, Gas and Energy industries at ADIPEC in Abu Dhabi. ElectrifAi will

be exhibiting at Booth 13605.

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More than ever, oil and gas companies need to leverage the power of Ai, ML and

CV to drive operational and cost efficiencies. The challenge is how? Oil, Gas

and Energy companies generate extraordinary amounts of data across the

enterprise. But frequently, the value and power of that data are never fully

realized due to a variety of reasons, including the inability to access siloed

data, general lack of data engineering and data science talent, and an

inability to connect ML and Ai to the practical needs of business units.

For over 15 years, ElectrifAi has been a leader in practical Ai, ML and CV

helping enterprise and government customers globally to quickly turn their data

into a strategic weapon to drive revenue growth as well as cost and risk

reduction. We have one of the largest libraries of pre-structured ML models

that has been built and battle tested over the past 15 years.  We have also

developed innovative CV models to drive workplace safety as well as to reduce

costs. And now with our innovative MLaaS offering, ElectrifAi enables companies

to quickly realize the benefits of Ai and ML. We do all the heavy lifting.

Clients simply describe their business use case. We tell them what data is

required. Clients then supply the data and ElectrifAi takes over from there by

training, operating and deploying the models and delivering results quickly.

It's that simple.

The collection of CV use cases ElectrifAi has created goes beyond the normal

range of CV abilities yet seen. We have many CV-based solutions that could be

applicable in this industry. For example: workplace safety, critical

infrastructure monitoring, methane detection, and equipment surveillance.

In the Oil and Gas industry, nothing is more important than safety. Human error

in high-risk environments can cause accidents, loss of life, and production

stoppages. CV can play a vital role in helping to prevent injuries, keep rigs

and production facilities running smoothly by alerting operators to potentially

dangerous situations and remediating issues before an accident occurs.

Similarly, CV can also play an essential role in monitoring valve banks and

other critical infrastructure for human error as well as wear and tear leading

to equipment failure. In addition to losses from production stoppages, there

are also ancillary costs that can be avoided such as litigation, regulatory

fines, and increases in liability insurance coverage.

MLaaS increases the efficiency and convenience of machine learning. Clients can

quickly get started with machine learning without the exhaustive efforts of

installation processes or providing their own servers. Although most companies

are actively exploring the possibilities of Ai and ML, many struggle with basic

challenges around data availability and quality as well as being able to

recruit and retain data engineers and data scientists. ElectrifAi's new MLaaS

offering addresses and solves these challenges. With ElectrifAi's MLaaS,

companies need little to no experience to realize the maximum business and

operational benefits of Ai and ML. MLaaS deploys easily within any cloud

environment or on the customer premise. ElectrifAi will also develop, operate

and maintain the models on behalf of the client making the MLaaS offering

faster, better, cheaper and substantially less risk for clients.

By using MLaaS, clients can achieve many benefits to improve their operations

and capabilities. Some of those benefits include lower costs, as one model can

be cheaper than the annual cost of a single data scientist; faster

time-to-deployment and lower project risk, as the average deployment is between

8-12 weeks for MLaaS versus 8-12 months to build new ML models; and faster

time-to-value with a high return on investment (ROI).

One of ElectrifAi's highly successful MLaaS offerings is an ML-based spend and

procurement analytics solution that has been trusted by some of the largest

companies in the world. It is quick and easily deployed in a client data center

or any cloud environment the client chooses. Average realized savings for our

SpendAi product fall in the 2-4% range. For a company with $1B in annual

indirect spend, this represents $20-$40M dollars in annual savings. Other

popular use cases include demand forecasting, dynamic pricing, customer

segmentation and customer engagement.

"We're pleased to introduce our Computer Vision and Machine Learning as a

Service offerings to the global energy industry. Every company can now easily

achieve the benefits of computer vision and machine learning with a very high

ROI. We are helping energy companies across the globe grow and become more

competitive through data-driven business decisions." – Edward Scott, CEO,

ElectrifAi

About ElectrifAi

ElectrifAi(https://c212.net/c/link/?t=0&l=en&o=3358477-1&h=1436204187&u=https%3A%2F%2Fwww.electrifai.net%2F&a=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 revenue uplift, 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. ElectrifAi has a large

library of Ai-based products that 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 a global company

with offices in Miami, Jersey City, Shanghai and New Delhi.

SOURCE: ElectrifAi

CONTACT: info@electrifai.net