What is the AI opportunity for the environment?
From the Nvidia article:
“AI is extending into every facet of our lives: how we travel, how we produce food, how we work, how we live” …“Smart buildings are one of the most valuable and largest opportunities for this trend.”
One example is wind farm efficiency:
For example, GE’s PowerUp Platform has been extended to become the Digital Wind Farm. With this solution, GE extends analytics and optimization beyond a single wind turbine to the entire wind farm. GE harnessed the power of the emerging Industrial Internet to create the Digital Wind Farm, a dynamic, connected, and adaptable wind energy platform that pairs wind turbines in a wind farm with digital infrastructure to optimize efficiency across the entire wind farm. This platform can account for the wind farm’s topology, surrounding geography, wake effects, and other inputs to control individual wind turbines and optimize the operation as a whole. Through these techniques, the Digital Wind Farm technology boosts a wind farm’s energy production by up to 20 percent and could help generate up to an estimated $50 billion value for the wind industry. The Digital Wind Farm uses interconnected digital technology to address a long-standing need for greater flexibility in renewable power.
Overall, the report’s projections show significant potential, though much work is needed to translate potential into reality.
Nick Robins, head of the Climate Change Centre of Excellence at HSBC, discusses benefits, costs and risks of a transition to a low-carbon economy last September at the Stockholm meeting of the Global Challenges Foundation.
Nick calls this “disruptive change” and describes a “digital networks” wave of disruption giving way to a “climate business” wave of disruption. I would agree, though I think the interesting opportunities lie in the transition from digital networks to climate business.
The keynote speaker of the annual HICSS conference, happening now, is Shwetak Patel, director of the Ubicomp lab at UW and Green IT innovator. Shwetak is reviewing many of the problems I’ve talked about in this blog, in particular, poor information on energy and water use in the home. One angle on this is “Single sensors,” which use machine learning to back out which appliances are drawing which currents.
The choice of Shwetak to address the entire conference in this keynote session underscores the importance of the role of IT in enabling and transforming environmental sustainability, energy reductions, and so forth. The conversation that a few of us began years ago finally appears to be gaining mainstream acceptance. Well done to the conference organizers for making this insightful choice.
In a working paper that will be presented in a few months at the HICSS conference, I describe how leveraging technology trajectories is one of four principles of Digital Fitness. Digital fitness is how I refer to the digital capabilities and mindsets required of all organizational leaders in order to succeed in today’s chaotic digitally enabled business world.
Leveraging technology trajectories is encapsulated by the moving gears in the illustration below. IT continues to get faster, smaller, and cheaper. This leads to increasing and innovative uses to substitute away from older methods or complement existing ones. This ultimately leads to the data avalanche facing most large companies and the use of analytics and other creative software approaches to convert it into value.
Source: Melville, N.P. “Digital Fitness: Four Principles for Successful Development of Digital Initiatives,” paper accepted to HICSS-48, January 5-8, 2015.
A good example of leveraging technology trajectories in the environmental sustainability space is provided in a post on SustainableBrands by Paul Bosworth, which summarizes the critical role that data plays in driving sustainability at USPS:
Data, Data, Data
Sustainable business these days requires data, and lots of it. Companies are using sustainability data for a multiplicity of reasons: to inform corporate strategy, comply with regulations, evaluate investments, improve transparency, develop products and processes, manage risk, benchmark themselves against competitors, change organisational culture, and engage with supply chains.
Increasingly, companies that take a well-organised and data-driven approach are more likely to see investments in their sustainability programme pay off. This means using analysis to better inform decision making, leading to methodically prioritised initiatives that get off the ground far more quickly.
Once the data management programme begins to mature and data inputs are integrated that reach across a company’s financial planning databases and other operational information resources, opportunities for cost savings and revenue generation can be routinely identified and acted upon.
Driving Value From Data
My favourite example of an organisation using data to drive sustainable development is the United States Postal Service (USPS). Across 32,000 facilities, their Office of Sustainability designed an employee-led programme to address goals in waste reduction, energy conservation, fleet fuel reduction, consumables spending, recycling, and water use.
To aggregate and display relevant data, USPS developed a Green Initiatives Tracking Tool (GITT). This features dashboards that allow cost efficiencies and performance enhancements to be monitored across the organisation. The GITT system achieves this by providing status updates for core projects, as well as financial information, through direct connection with the accounting system for each facility.
GITT is also designed to be interactive. It includes a start-up list of 41 suggested projects for facilities as well as guidelines and training modules for their completion. Managers can also understand clearly what projects are in place and where via sustainability performance metrics that are triggered upon project implementation. Ready access to GITT information and comparative tables enable comparison between facilities and geographies. Most importantly, USPS can now track progress in real time at a national level and support those facilities that need additional help.
By using data aggregation and analytics, USPS was able to gain visibility into its progress on sustainability and isolate over $52m in savings in 2012 largely due to employee-led initiatives.
Unfortunately, as I argue in the article, too many digital initiatives fail to meet expectations. It’s my hypothesis that the lack of digital fitness is one source of these high rates of failure. If this is true, it would be interesting to refine the concept of digital fitness by studying leaders at companies that seem to excel at the intersection of IT and corporate environmental sustainability, including SAP, IBM, Danone, Intel, Nest, OPower, and Ebay. What might we learn?
VERGE: Converging energy, information, buildings, and transportation.
FB’s Weihl: Facebook’s OPower app hypothesis: comparison to people we know makes the biggest difference in behavior change.