-- 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.

Logo - https://mma.prnewswire.com/media/1527876/ElectrifAi_Logo.jpg 

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