April Series: Digital Transformation, Artificial Intelligence & The Future of Energy and Utilities

The Energy and Utilities Sectors stand to substantially benefit from the implementation of digital technologies. Many companies within these sectors have taken the leap to adopt technologies to streamline operations. Artificial Intelligence and the automation of benefit delivery is the key to the future of the Energy and Utilities Sectors. AI’s ability to address the similar massive scale and complex analysis of exceptionally large volumes of data in real time to reduce infrastructure strain will ultimately have a very strong impact on the entire value chain.

Over the past few weeks, within the United States, the national grid and its emphasis on being the future of the energy grid and renewables have become a hot topic. The average age of power plants in the US is approximately 30 years old the deterioration of these plants has the potential to do serious damage by putting people out of power – this is where AI steps in to stop the problem.

Increased asset reliability, outage prevention, preventative maintenance and improved customer experience are just few of the ways AI can aid the energy sector. This month, we will be conducting a deep dive into how Maestro AI can address the energy sector’s needs more specifically.

Source: i-Scoop

The trends in the application of Artificial Intelligence in Utilities will also be in discussion this month as they share many similarities to those of Energy. Based on the predictions in the above graphic, it is clear Utilities companies are turning to digital to enhance their bottom line as it is predicted that by just 2023, utilities will have digitally connected 75% of their assets.

With the implementation of Maestro AI, companies within the Utilities and Energy space will be able to capture unprecedented speed to value and bottom line improvement with ease. Subscribe to follow along this month for the April Series: Artificial Intelligence & The Future of Energy and Utilities to learn more about AI’s application in this space and our take on some of the hottest topics in 2021.

To learn more about what Maestro AI and Elutions can do for your corporation, contact us.


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Artificial Intelligence, F&B Quality, Safety and COVID-19

The COVID-19 pandemic initiated a drastic change in consumer confidence and purchasing habits while redefining the approach to how select businesses approach their supply and demand for goods & services. The food and beverage, manufacturing and industrial processing industries continue to experience, respond to and rebound from these unexpected changes all while navigating a yet…

Continue reading → Artificial Intelligence, F&B Quality, Safety and COVID-19

Artificial Intelligence to Achieve Net-Zero in Food and Beverage

The facts of life are such that everyone has to eat and drink in order to survive. However, in a time where consumers are much more aware and selective of the Food & Beverage providers that they purchase from, the strain is being felt by suppliers of those products. The Pandemic also has made the…

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Artificial Intelligence & The Competitive Edge in Food and Beverage

The Food and Beverage Industry has been at the forefront of the technology adoption curve for many years, from more advanced robotics on the manufacturing line to 3D printed alternatives to meat, innovation is embedded in the industry. With the growth of consumer interest around nutrition, environmental, social and corporate governance and overall food safety…

Continue reading → Artificial Intelligence & The Competitive Edge in Food and Beverage

Oil & Gas Giants: AI & the Vulnerability of Supply

Since 2016, the Global Liquified Natural Gas (LNG) imports industry has enjoyed a CAGR of more than 10%. Due to oversupply, unpredictable demand and varying price as a result of COVID-19, this CAGR came to a screeching halt in 2020. In an industry that was experiencing oversupply prior to the impact of COVID-19, the decrease in demand has lead to even greater excess and market volatility. Many LNG producers are looking to cut spending across the board and the rush to implement these measures has led to, in some instances, significant negligent maintenance practices.

These measures snowball into the real pressing issue for LNG producers, forcing them to ask the tough question:

“How can we maintain/ increase profitability in such a volatile environment?”

The answer lies in Artificial Intelligence, specifically Maestro.


Oversupply is a significant issue as it forces producers to reduce operational costs, often from critical areas in the production process, since they are unable to sell all their supply. Cost cutting measures, along with workforce disturbance caused by COVID-19, have led to prolonged maintenance backlogs for many of the world’s LNG plants.

By way of example, a look at the fire that occurred in the Hammerfest LNG plant in Norway in September 2020. This fire was a result of negligent maintenance due predominantly to poor planning and a backlog of cost-cutting measures that had to be implemented due to urgency. The plant narrowly missed destruction, but the event could have been prevented in its entirety while still maintaining cost reduction if an AI engine, like Maestro, been implemented.

The oil leak that caused the fire was foreseeable, it was determined to be one of many leaks that were called out by a safety audit issued by the PSA. However, due to the vulnerability of the market, the plant elected not to address it. On the day of the fire, the fire-alert system malfunctioned and even still, it threw out several faults which the plant, likely understaffed, decided not to address. The fire was ultimately discovered by staff as it occurred. What is known for certain is that the fire was preventable in many ways.

The president and founder of Bellona, an international environment agency, Frederic Hauge, noted of the fire that,

“Our information points to serious design and construction weakness at the plant, serious negligence in follow-up of maintenance issues, and an astounding lack of attention to safety by top management.”

Frederic Hauge, Bellona

In a survey conducted by Oil & Gas IQ in 2020 (illustrated below) and administered to over 200 O&G professionals, almost 75% of respondents believe that intelligent enterprise applications can save money on CAPEX/ OPEX.

If yes. how much could it save? 
Yes 
No 
Unsure 
Can intelligent enterprise applications save 
your company money on capex/opex? 
2%
Source: Oil & Gas IQ

Most respondents went on to say that the amount of which this could save was unquantifiable at the time.

Further, the respondents shared that the two most significant areas for impact with intelligent enterprise applications are predictive analytics & intelligent automation, both of which are not only wheelhouse benefits delivered by Maestro AI, but are also just the tip of the iceberg in transformational impacts that Maestro autonomously implements.

Which intelligent enterprise areas do you think will have the most significant impact on your business? (Respondents could choose up to three) 
Predictive analytics 
Intelligent Automation 
• Cognitive analysis 
/ computing 
Machine learning 
57% 
50% 
28% 
25% 
23% 
23% 
Smart devices 
Chatbots 
/ virtual assistants 
Text / speech analytics 
DevOps and API 
Other (please specify) 
23% 
5% 
4%
Source: Oil & Gas IQ

Instinctually, any business aims at reducing cost if it is experiencing an oversupply and is in a market that is vulnerable. However, cost-reduction must never come at the expense of safety, something that the Hammerfest LNG plant failed to prioritize and has now cost them an entire year of unplanned downtime. The question remains,

“How could this fire and shutdown, as well as future maintenance related disasters, be prevented while still maintaining and even increasing profitability?”

Maestro Artificial Intelligence and the team at Elutions have extensive experience in the LNG market, working with clients to increase profitability as well as preventative plant failure, an overall reduction in downtime and more whilst maintaining proper reporting and safety standards.

In the case of the fire at Hammerfest, had Maestro been deployed, the automated directives, as part of the Maestro Autonomous Value Chain, would have been able to address not only any potentially faulty alarms but also the entire maintenance backlog with ease and with priority assigned to those issues that impact profitability and safety the most. Unplanned and overdue maintenance is a serious issue in the LNG industry, one that has lead to a tighter market and an increase in prices, but it doesn’t have to be with the help of AI.

Unplanned maintenance is just one of many issues that Maestro can address in the LNG industry due to it’s unique end-end holistic approach to the value chain. The Maestro Autonomous Value Chain overcomes chaos theory in a measurable dynamic environment like a refinery, understanding the input characteristics in real time as they change, and accounting for cause and effect up and down the value chain automatically as a result. To learn more about the Maestro Autonomous Value Chain applied and how our team can help your business combat the volatile markets please contact us.

Click subscribe below to be kept up to date and notified of our upcoming articles, including the next piece in the January Series- Artificial Intelligence and the Oil & Gas Giants.


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