ElectrifAi announces computer vision and MLaaS for oil, gas and energy at ADIPEC

2021-11-16 20:41:45 By : Ms. Coco Coco

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Jersey City, New Jersey, November 14, 2021 /PRNewswire/ - ElectrifAi, one of the world's leading companies in the field of practical artificial intelligence (Ai) and pre-built machine learning (ML) models, today announced the launch of computer vision ( CV) and machine learning as a service (MLaaS) for the Abu Dhabi ADIPEC oil, gas and energy industries. ElectrifAi will exhibit at booth 13605.

More than ever, oil and gas companies need to use the power of artificial intelligence, machine learning, and CV to improve operational and cost efficiency. What are the challenges? Oil, gas, and energy companies generate large amounts of data throughout the enterprise. But usually, due to various reasons, the value and power of these data are never fully realized, including the inability to access isolated data, the general lack of data engineering and data science talents, and the inability to connect ML and artificial intelligence with practical applications. The needs of public institutions.

For 15 years, ElectrofAi has been a leader in the field of practical artificial intelligence, machine learning and CV, helping global enterprises and government customers to quickly turn their data into strategic weapons to drive revenue growth and reduce costs and risks. We have one of the largest libraries of pre-structured ML models that have been built and tested in actual combat over the past 15 years. We have also developed an innovative CV model to improve workplace safety and reduce costs. Now, with our innovative MLaaS products, ElectrofAi enables companies to quickly realize the advantages of artificial intelligence and machine learning. We do all the hard work. Customers only need to describe their business use cases. We tell them what data they need. The customer then provides the data, and ElectrofAi takes over by training, operating and deploying the model and delivering the results quickly. It's that simple.

The set of CV use cases created by ElectrifAi is beyond the normal range of CV capabilities. We have many CV-based solutions that can be applied to this industry. For example: workplace safety, critical infrastructure monitoring, methane detection and equipment monitoring.

In the oil and gas industry, nothing is more important than safety. Human error in a high-risk environment can lead to accidents, casualties, and production shutdowns. CV can play an important role in helping prevent injuries and keep drilling platforms and production facilities running smoothly by alerting operators to potentially dangerous situations and remediating problems before accidents occur. Similarly, CV can also play an important role in monitoring valve trains and other critical infrastructure for human error and wear and tear that cause equipment failure. In addition to the losses caused by the shutdown, there are some avoidable auxiliary costs, such as litigation, regulatory fines, and increased liability insurance coverage.

MLaaS improves the efficiency and convenience of machine learning. Customers can quickly start using machine learning without having to go through a detailed installation process or provide their own server. Although most companies are actively exploring the possibilities of artificial intelligence and machine learning, many companies are struggling to meet the basic challenges surrounding data availability and quality and being able to recruit and retain data engineers and data scientists. ElectrifAi's new MLaaS product solves and solves these challenges. With ElectrifAi's MLaaS, companies can achieve the greatest business and operational advantages of artificial intelligence and machine learning without any experience. MLaaS can be easily deployed in any cloud environment or customer premises. ElectrifAi will also develop, operate, and maintain models on behalf of customers to make MLaaS products faster, better, and cheaper, and greatly reduce customer risk.

By using MLaaS, customers can gain many benefits to improve their operations and capabilities. Some of the benefits include lower costs, because a model may be cheaper than the annual cost of a single data scientist; faster deployment time and lower project risk, because the average deployment time of MLaaS is between 8-12 weeks, and new builds The ML model takes 8-12 months; and faster time to value and high return on investment (ROI).

One of ElectrifAi's very successful MLaaS products is an ML-based expenditure and procurement analysis solution, trusted by some of the largest companies in the world. It can be quickly and easily deployed in the customer's data center or any cloud environment of the customer's choice. The average savings achieved by our SpendAi products is in the range of 2-4%. For companies with annual indirect expenditures of $1B, this means annual savings of $20-$40M. Other popular use cases include demand forecasting, dynamic pricing, customer segmentation, and customer engagement.

"We are very happy to introduce our computer vision and machine learning as a service products to the global energy industry. Now every company can easily get the benefits of computer vision and machine learning with a very high return on investment. We are helping the global energy industry The company develops globally and becomes more competitive through data-driven business decisions." – Edward Scott, CEO of 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 revenue increases, cost reductions, and profit and performance improvements. Founded in 2004, ElectrifAi has an experienced industry leadership, a global team of experts in the field, and a good record of large-scale conversion of structured and unstructured data. ElectrifAi has a huge artificial intelligence-based product library, covering business functions, data systems and teams to achieve excellent results in record time. ElectrifAi has approximately 200 data scientists, software engineers, and employees who have a good track record of handling implementations for more than 2,000 customers, most of which are Fortune 500 companies. The core of ElectrifAi's mission is to make artificial intelligence and machine learning more understandable, practical and profitable for global companies and industries. ElectrifAi is a global company with offices in Miami, Jersey City, Shanghai and New Delhi.

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