Harnessing The Power Of AI - New Book Launched

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05 February 2019 | Updated 08 February 2019

A much needed guide to AI is how RICS have described a new book by Katie King which focuses on AI in marketing but references facilities management - an area the author consults in.

Published this week (ending February 8) by Kogan Page, Using Artificial Intelligence in Marketing: How to Harness AI and Maintain the Competitive Edge, has already received the impressive appraisal from RICS as well as executives at Nike, Nestle, and the Chartered Institute of Marketing.

Katie King is well known as CEO of a company called AI in Marketing and also as CEO of Zoodikers, a public relations company with numerous clients in FM and its related sectors.

 

Transformational change in FM

The book features many insights on transformational change in facilities management and the wider built environment, with contributions from JLL, FSI, Savortex and more. It provides senior management, marketing professionals and academics with the essential tools for understanding AI and applying it to their organisational practices.

King also explores the impacts of AI across multiple job functions and sectors, through interviews with tech disruptors, vendors, academics and policy makers.

 

Case studies

Successes and failures of digital transformation are also presented in case studies of leading brands, including M&S, TGI Fridays, Ocado, Renault, Reiss, PwC and Gartner.

 

RICS

Paul Bagust, Global Property Standards Director at the Royal Institution of Chartered Surveyors, said: “The impact of AI in the built environment has been much discussed and analysed. This much needed book brings clarity and insight to these conversations and is presented in an accessible way that addresses many misconceptions with the use of real examples.”

 

Practical implementation

The number of enterprises implementing Artificial Intelligence grew 270% in the past four years and tripled in the past year, according to analyst by Gartner. The results of their survey reveal that there is great potential for organisations across all industries to adopt AI to enhance their business practices. The findings also forecast a major struggle ahead for businesses because of an acute talent shortage.

Beyond the analysis of real-world examples, the book offers readers practical implementation strategies, guided by a pragmatic scorecard. Chapters in the book also tackle society’s biggest concerns regarding AI, including job losses, distribution of wealth, ethics, trust and transparency.

 

All-Party Parliamentary Group

As a member of the new All-Party Parliamentary Group taskforce for the Enterprise Adoption of AI, King will be helping to address many of these issues.  She will continue sharing her insights through various speaking engagements and training sessions around the world, including IFMA’s World Workplace Asia, Singapore in April 2019.

Picture: Using Artificial Intelligence in Marketing is available in paperback and hardcover wherever books are sold, with digital formats available from Amazon.

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How FMs Can Harness The Power Of AI

Katie King, whose new book, Using Artificial Intelligence in Marketing, has just been published, has written exclusively for ThisWeekinFM on the impact AI is having in FM.

The role of facilities management is evolving, writes King, with building owners increasingly expecting FM teams to be drivers for business growth. The focus is shifting to highly efficient operations and an enhanced user experience, with teams expected to extend their roles as providers of transformative solutions and smart technology, placing greater pressure on them than ever before.

Today, the built environment requires systems to operate large portfolios of buildings at the highest efficiency level. The surge of IoT and machine learning are at the heart of the technology that will enable efficiencies of scale in FM, not to mention across numerous other industries such as healthcare, marketing and travel.

Machine learning magnifies the value of data by removing manual work and replacing it with data-driven intelligence.

 

Freeing time & resources

Artificial Intelligence and automation in FM not only optimises production, it also frees up valuable time and resources so that facilities managers can more meticulously oversee and recall details affecting day-to-day operations, which artificially intelligent systems do not have the capacity to deliver. In other words, they can focus more on serving customers and enhancing experiences. For example, self-vacuuming and self-mopping devices use AI to map out a floor, clean the floor and return to a docking station, whilst facilities managers can take care of more human tasks.

 

AI will be an integral component of all FM activities soon

AI is being applied to all aspects of FM, from corporate real estate providers, residential property managers, restaurants, as well as retailers. If something goes wrong or breaks down, users want immediate answers for rapid solutions. Fortunately, AI tools can identify these problems as soon as they occur, however the real value of AI in FM is seen from analysing historic and real-time data to identify correlations between existing performance and potential malfunctions, pre-empting the need for repair or replacement before a malfunction occurs.

 

Data insights

With AI and predictive analytics penetrating the FM industry, the biggest profit will be from using data insights that bring together operations, maintenance and sustainability for smart operations, everyday sustainability performance intelligence, alongside occupant engagement and productivity.

 

Drones

Using drones in FM can be extremely beneficial, not only for productivity and efficiency but also in terms of safety. First of all, drones have the rare ability to operate in the majority of conditions, regardless of the weather or the presence of dangerous substances. Drones can also be used to access or monitor hard-to-reach areas where it might be dangerous to send human labourers. They can efficiently collect data, complete safety inspections or capture project progress without any safety or conditional concerns.

 

Warehouse management

AI and machine learning can test hundreds of demand forecasting models and possibilities with a new level of precision, while automatically adjusting to different variables such as new product introductions, supply chain disruptions or sudden changes in demand. Using AI systems, every single part can be tracked from when it’s first manufactured, to when it’s assembled and shipped to an end customer.

 

Warehouse examples

Walmart cut taking physical inventory from one month to 24 hours by using sophisticated drones that fly through the warehouse, scan products, and check for misplaced items.

Using algorithms that learn from experience to optimise logistics, BMW follows each part, from the point it was manufactured, to when the vehicle is sold—from all of its 31 assembly facilities located in over 15 countries.

 

Making better products with generative design

AI is also changing the way we design products. These days, AI can actually create products using a detailed brief inputted by designers and engineers. One of the major advantages of this approach is that an AI algorithm is completely objective – it doesn’t default to what a human designer would regard as a logical starting point. No assumptions are taken at face value and everything is tested according to actual performance against a wide range of manufacturing scenarios and conditions.

To find out more about AI’s impact on the built environment, take a look at this white paper, co-authored by Katie King - Click Here

 

On Tuesday March 5, Katie King, in association with ThisWeekinFM will be hosting an Exclusive Book Launch. if you would like the opportunity to be amongst the 100 selected guests, email katie@zoodikers.com

Article written by Brian Shillibeer | Published 05 February 2019

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