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
The Cloud, IoT, Sensors and More – The NEXT EVOLUTION of Smart Connected Buildings - 4/4/2019
The concept of smart buildings has been around for decades. What’s different now are the multiple generations of technology we have seen throughout the years. At first ‘building automation’ was proprietary and single-source, next came ’connected’ buildings which introduced us to the internet. Today, next-level thinking includes an expanded use of the cloud, the inclusion of non-traditional smart edge devices found within the Internet of Things (IoT), sensors, as well as integration into ERP’s other single purpose solutions and multiple telecommunication platforms. While the benefits of a smart connected building are great, the path to success is elusive. This webinar will feature the industries’ most accomplished smart building experts.
Tom Shircliff is a co-founder and principal of Intelligent Buildings, a nationally recognized smart real estate professional services company that was started in 2004. Intelligent Buildings provides planning and implementation of next generation strategy for new buildings, existing portfolios and urban communities. Tom is a speaker and collaborator with numerous universities and national laboratories, a gubernatorial appointee for energy strategy and policy and founding Chairman of Envision Charlotte, a Clinton Global Initiative.
Paul Maximuk is Energy Manager for Ford Land Energy where he is currently is providing project and program technical guidance to implement global metering of electric, natural gas, steam, water and compressed air systems. He is an Energy Engineer with over 30 years of experience in the HVAC/BMS field. He is an SME specializing in building management and energy reduction. Paul has focused his efforts in large industrial facilities but also has equal expertise in Class A buildings. Additionally he is a problem solver finding the root cause of why mechanical systems do not operate at their peak efficiency.
Gordon Echlin is Vice President Marketing and Business Development for Triacta Power Solutions LP, where he has been a management team member since 2009. Prior to Triacta, Gordon was a partner for a boutique venture capital firm, Venture Coaches from 2006 to 2009, and started a telematics company, Netistix Technologies, in 2002.
As a Senior Strategist for Aruba, a Hewlett Packard Enterprise company, Chris Fine is focused on Aruba’s Smart Digital Workplace initiative. The Smart Digital Workplace combines Aruba’s industry-leading networking technology and a growing ecosystem of partners in technology, real estate, smart furniture, and other specialties, to drive the growth of new experiences for end users and managers in the next gen Smart Office.
Rick has more than ten years of experience in technology and intelligent building engineering. Prior to cohesionIB, Rick served as the Senior Practice Leader at Environmental Systems Design in the Intelligent Building group. He led the technical design of global intelligent building and smart city projects in cities around the globe. He is passionate about designing digital solutions for the built environment that improve the experiences people have and foster the culture around them.
Anne is a high-tech executive with broad experience, starting from software design, architecture, cybersecurity, to managing teams to release telecommunications and enterprise software, building and leading research labs, managing developer relations, and initiating and driving cultural changes. She worked for over 10 years at SAP successively as Director of Security and Trust Research, VP of Platform Research and VP of Developer Advocacy. More recently she co-founded and became the CEO of Workrize PBC.