AI Impact on Reliability and Safety Within the Energy Sector
Ride sharing apps. Movie and shopping recommendations. Social media feeds. Virtual assistants. Music and media streaming services. You have likely used at least one form of artificial intelligence (AI) already today, as it has become ubiquitous in our everyday lives. By definition, AI is simply the science of training machines with data to mimic cognitive functions and perform human-like tasks.
The use of AI – and its ability to analyze and leverage large amounts of data – has risen to the forefront of corporate strategies. Examples of current uses include harnessing real-time building data to proactively predict asset failure; measuring temperature and motion to create better experiences; robotic use for material handling, delivery and construction; facial recognition and security; and performing lease abstraction by extracting relevant data from piles of hard-copy documents.
For some, the future of AI is exciting – for others it may be daunting. But, the “future” is now, and there are remarkable strides being made with everyday applications of AI that are helping us work smarter, faster, safer and more creatively by automating manual tasks and supporting our decision-making process.
Learning from Structured and Unstructured Data
AI is only as good as its data. To be truly effective, AI and machine learning require large amounts of data that is both diverse and clean. Across the real estate industry, there is a heightened focus—and an increasing amount of investment capital—around getting our data together, normalized and available for use. At the same time, the amount of data coming in is exploding, particularly unstructured data that is created via cameras (images and videos), audio and speech recognition devices, mobile content, web pages and documents.
Gartner, a leading global IT research and advisory firm, predicts that data volumes will grow 800% over the next five years, and up to 80% of that data will be completely unstructured. It’s also estimated that only 1% of this data is ever analyzed, so capturing, preparing and creating insights from this data is a challenge that many in the industry are unprepared to tackle without the help of AI.
Energy Sector Leveraging AI
The energy sector has recognized the value of AI across many facets, including energy center operations, reliability, and safety. When it comes to pipeline inspection and leak detection, AI is helping to prevent issues before they arise. For example, intelligent extraction robots are already in-place today, improving cost-effectiveness and productivity while minimizing worker risk. In addition, advanced Leak Detection Imaging Systems, which leverage neural network-based AI, are using algorithms to process images and detect, confirm or reject potential leaks.
By using data and identifying patterns, companies within the energy sector are also increasing their capabilities around cybersecurity, threat detection, and the optimization of assets and maintenance workflow. In developing countries, electricity theft can be prominent. Machine learning can help utility companies identify suspicious patterns and determine normal usage rates of residents. Any inconsistency can be identified, monitored and reported, to avoid further electricity theft.
As a service provider, improving asset maintenance and both the employee and the customer experiences can benefit from data and machine learning. On the employee experience front, CBRE recently completed a pilot that automated the CMMS workorder request process, using Natural Language Processing (NLP) to identify, process and extract the employee intent and request from just a basic text string. That same process will also be leveraged as a chatbot (aka conversational AI) in a future product release to our CBRE 360 clients.
Companies within the energy sector can also leverage chatbots to improve their B2B interactions and customer service capabilities with resellers and vendors. There are additional, AI-enabled pilots underway that will allow energy sector companies to better predict asset failures, and also optimize technician routes by leveraging workorder data in conjunction with weather and traffic information.
The AI space will continue to evolve and influence multiple aspects of the energy sector. According to Dan Walker, who leads emerging technology in British Petroleum’s (BP) Technology Group, “AI is enabling the fourth industrial revolution, and it has the potential to help deliver the next level of performance.” As new technology is released, and the use of AI is more widely adapted, you can expect to see considerable advancements that will revolutionize the way we work in the energy field.
Learn more about CBRE's Energy, Oil & Gas practice here and CBRE’s Tech, Media & Telecom practice here.
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UPCOMING REALCOMM WEBINARS
REAL ESTATE INFORMATION ANALYTICS – Harnessing the Power of the Data - 2/7/2019
It started with spreadsheets and pivot tables, moved to databases, then to data warehouses, onto analytics and business intelligence. Now, analytics often refers to machine learning and artificial intelligence. In the end it is simply about collecting and maintaining accurate comprehensive data and applying some form of sophisticated analysis to gain insight and make better decisions. Combining internal and external data can provide organizations with a better understanding of individual assets, portfolios and markets. This webinar will gather the industries’ most experienced professionals who will discuss how data disruption and leveraging data will allow you to better position yourself for significant growth. Product options, data strategies, personnel requirements and more will be addressed.
Andrew Weakland is the Director of Systems Development for W. P. Carey, a net-lease REIT focused on providing long-term sale-leaseback and build-to-suit solutions for companies in the U.S. and Northern and Western Europe. Andrew specializes in bringing emerging technologies into the real estate space to drive competitive advantage while maintaining the cohesiveness of the overall enterprise technology footprint.
As the Director of Information Technology at Woolbright Development, Luis Ramos is responsible for the corporate technology strategy, which includes the IT infrastructure and enterprise application platforms. Additionally, he is also responsible for implementing technology solutions toward the company’s existing business processes, and helping create new efficiencies throughout the company's business model. Since his arrival in 2004, his team has been responsible for the constant development of various industry-focused proprietary software applications and tools. These award-winning technologies have fundamentally changed the way commercial real estate has been done at Woolbright.
Prabhu’s career spans over 18 years of product, business, and customer experience focused on enterprise-scale software for IoT-based connected services, sustainable building solutions, and telecom network management. Prior to becoming an entrepreneur, he was the Director of the IoT division of Zoho Corporation. At Zoho, he was responsible for and directly oversaw strategy, innovation, product, marketing and revenue operations of end-to-end telecom and IoT building solutions.