While smart cities represent a major business opportunity for utility companies, they are better suited to co-lead the building of the “smart region”. Utility companies have the regional focus, infrastructure, resources, operational and execution capabilities to support the largest metropolitan areas to the smaller cities and regions.
This article discusses some entry level smart region opportunities for utility companies, as well as some of the key gaps they must address.
While a smart city is powered by technology and data, it is enabled and sustained by trust. Many people equate trust with privacy and cybersecurity. However, these are only two elements of many that create trust in a smart city. Trust must be embedded into the processes, policies and technology that create the city services. It must be integrated into its creators, users and beneficiaries from the very beginning.
This article introduces a holistic framework for building trust in a smart city for smart city planners and architects to consider.
Smart city innovation labs provide an organized structure for cities, community, experts, and vendors to collaboratively create viable solutions. Successful solutions piloted in smart city innovation labs can then be scaled and deployed into a city’s operations and infrastructure.
Based on our experiences in creating, launching and operationalizing San Mateo County’s Smart Region innovation lab (SMC Labs), we share ten best practices for civic innovation leaders planning their own innovation labs.
The smart city is a complex ecosystem of people, processes, policies, technology and other enablers working together to deliver a set of outcomes.
Despite this, many planners today are not taking an ecosystem approach to smart city projects. This article introduces the smart city ecosystem framework, a more holistic and multi-dimensional approach, to building more sustainable, scalable and relevant smart cities.
IoT enables vendors to create an entirely new line of “smart” solutions for its existing and new markets. While the decision to go “smart” is straightforward, the decision of how to go “smart” is less obvious. Vendors are faced with a “build, buy, partner” decision – build it themselves, buy and integrate technology, or partner with another organization and go to market together.
This article discusses some of the key management considerations involved in making a decision.
Industrial IoT (IIoT) is not the same as IoT. Industrial IoT, a subset of the larger IoT, focuses on the specialized requirements of industrial applications, such as manufacturing, oil and gas, and utilities. Although IoT and IIoT share common technologies (sensors, cloud platforms, connectivity, and analytics), the similarities end there.
This article highlights key differences that product managers and buyers must know when planning industrial IoT solutions.
In mid-October 2017, Cisco announced the launch of its Aironet Developer Platform (ADP), a third-party development platform based on the Aironet 3800 series access points (AP). While there was no mention of IoT in the announcement, this is a stealth IoT opportunity for software developers in Cisco’s DevNet community.
This article provides a brief assessment of the Cisco ADP program, and offers some recommendations for its implementation.
Most IoT applications are based on a cloud centric architecture. Data collected from sensors and devices are sent to a gateway, which then transfers it to a cloud based IoT platform. For a growing set of IoT applications, including those that are mission critical, latency sensitive, or with high reliability needs, a new architecture is needed. An edge based architecture, with processing performed at the device, or in a gateway near the devices, is now emerging. This article provides an overview of edge or fog computing, and lists some common use cases.
The Internet of Things is set to transform and disrupt what we do and how we do it. But there is a coming revolution – the integration of computer vision, machine intelligence, data analytics, with IoT that promises a whole new set of disruptions.
This post is Part One of a series of briefings on the convergence of computer vision and the Internet of Things (IoT). It discusses what computer vision is, the impact of advanced machine learning algorithms, examples of use cases, and current challenges.
Are you ready for IoT? Despite its transformational potential, most organizations are not ready. In an era of rapid disruption and digital transformation, IT executives and managers must lead the charge. They must bridge the gap between technology, business, engineering and operations. They are evangelists, teachers, facilitators and innovators.
This article lists six things IT managers must do to successfully accelerate IoT adoption within their organizations.
We are in a modern day gold rush, sparked by the Internet of Things (IoT). Thousands of companies, new and established, are planning “smart” solutions.
Amid all this, what IoT lessons learned from the past can today’s IoT companies apply to avoid mistakes of previous “gold rushes”? Are we smarter now, or are we making the same mistakes? The answer is yes and yes. This articles identifies five major mistakes made by dot-companies and five Iearnings for today’s IoT companies.
The real innovation of smart parking solutions is not in the technology. While smart parking solutions bring immediate value to drivers, parking enforcement agencies and cities, the real innovations and value will emerge once it is deployed and new beneficiaries emerge.
Smart parking is not all about parking. This article describes who the new beneficiaries are, shares examples of where new value is being created, and lists best practices to uncover real innovations.
In the digital enterprise, the strategic fusion of IT, operations technology [OT], audio-video [AV] with transformational technologies (Cloud, Internet of Things, AI, analytics, edge processing) leads to richer customer experiences, business acceleration, and operational agility. This fusion leads to new innovation and digital transformation of the organization.
This article highlights the new roles and expectations of IT in an age of digital transformation.
Don’t confuse IoT with innovation. The real IoT innovation is not in the technology, but in what it can do and what it allows organizations to become – intelligent, agile and adaptive, in creating new value for its customers.
This article describes five innovation paths with IoT solutions to consider when planning digital transformation projects, along with advice to get started on turning the Internet of Things into the Innovation of Things.
One common monetization approach for today’s IoT solutions is the subscription model. While it provides an attractive recurring revenue stream, subscription models require major investments in resources, time, capital and management commitment.
In this blog, we’ll highlight six key strategic and critical considerations managers must address when planning and building IoT subscription models. These considerations will determine whether the IoT subscription service is successful or not.
Despite the disruptive and transformative potential of IoT, selling IoT solutions is today’s emerging marketplace is challenging. Buyers face many barriers, ranging from a lack of awareness to fears of early obsolescence.
In this blog, we’ll share the eight things IoT solutions vendors must stop doing right away. Instead, we’ll share eight alternative best practices and strategies that they should be doing instead to drive market adoption.
A recent study by Cisco found that three quarters of IoT projects were not successful. The reasons included long completion times, poor data quality, lack of internal expertise, integration and budget overruns.
In this blog, we will share ten best practices, from project planning to implementation, to help managers and project planners overcome common mistakes made with projects implementing emerging technology solutions.
Today’s IoT market is very dynamic, continuously evolving, and fragmented. No single vendor has a connected IoT stack. Partnerships are a critical business capability that IoT vendors must develop in order to be relevant in this type of marketplace.
This post, the second of two parts, describes ten best practices that vendors should use when forming and managing partnerships with other IoT partners.
Today’s IoT market is very dynamic, continuously evolving, and fragmented. No single vendor has a connected IoT stack. Partnerships are a critical business capability that IoT vendors must develop in order to be relevant in this type of marketplace. This post, the first of two parts, describes the basic partnership types, the relationship models and key engagement scope parameters.
You’re sold on the Internet of Things (IoT) and its benefits for your organization. But how do you get in the IoT “game”? Where do you start?
While there is a lot of information on the technology behind IoT, case studies, and visions of what it can do, there is not a lot of practical content on what you need to get started today.
This post discusses five options that managers have for executing pilot IoT projects.
Internet of Things (IoT) solutions offer tremendous and disruptive value for customers, but sometimes have the unintended effect of adversely impacting the channel that it is sold and serviced through. This results in slow adoption of IoT solutions, even if those solutions have significant and tangible customer value. This post highlights the two common product-market fit mistakes, and lists four best practices to facilitate channel adoption of innovative IoT solutions.
IoT or Internet of Things solutions, built on a cloud-based infrastructure, create opportunities for new business models and value delivery methods. While many IoT solutions are usually sold as a “product”, many vendors are now beginning to offer IoT “as-a-service”.
Selling a recurring revenue solution is not the same as selling an “one time” sale product. This post presents seven best practices for selling IoT as a service.
You found product-market fit and built your Internet of Things (IoT) solution. But do you know who your buyer is?
IoT solutions create value that cut across organizational boundaries. Identifying a single buyer or owner in today’s traditionally structured organizations is difficult. Unlike IT where there is a centralized buyer, IoT buying is decentralized.
This post describes the reasons for this, and provides six best practices for selling IoT solutions into corporate organizations.
A lot of the innovation around Internet of Things (IoT) is coming from start-up companies. But how do you buy a solution when the technology is still evolving, the use cases are emerging, and the company selling it may not be in business a year from now? Your “tried and true” sourcing practices that you use with your more established suppliers will actually increase the risks for both you and the start-up company that you are buying from.
This post describes the three main risks and highlights ten new strategies for buying IoT solutions for start-up companies.
While a lot of the attention on the Internet of Things (IoT) is on platforms, analytics or even machine learning, IoT really starts with the sensors at the point of use, or the “edge”.
This post is part of the “Back to Basics” briefings on the Internet of Things (IoT) architecture for executives, managers and anyone new to IoT. Using the “Follow the Data” approach, I’ll start at the edge with the IoT sensors, and work my way back to the core of the IoT system.
This article will describe the sensor technology and considerations when selecting sensors.
I saw many smart home and home Internet of Things (IoT) products at the 2017 Consumer Electronic Show (CES). All were interesting. All solved the wrong problems. And all missed the mark with real world buyers.
While today’s smart home products do useful things, they solve “first world” problems of convenience that are not useful to “real world” buyers.
This post discusses what problems that smart homes really need to solve, and provides some takeaways for smart home designers to consider to make their solutions more attractive to “real world” buyers.
There is no lack of IoT platforms, business models, and innovative products in the market today. However, today’s products are still immature point solutions. From technology standards, to business models, IoT will evolve over the next few years.
Given the immature state of IoT, what should transformation, business and IT managers do today?
This article discusses five things that managers should do now as they plan and deploy IoT strategies and projects.
Are you ready? The Internet of Things (IoT) is here and its ability to drive new innovation will be huge.
But how much is real and how much is hype? Today’s IoT are “point” solutions that don’t live up to the hype. They offer limited utility and solve a small set of problems.
This articles discusses what IoT will look like when it lives up to the hype. It provides fives takeaways for managers to do today to begin the transformation from Internet of Things to Innovation of Things.