Nonlinear Thinking

M2M and the Internet of Things

A dozen years ago in a white paper on emerging technologies I included a section on machine-to-machine (M2M) technology, though at the time that nomenclature wasn’t generally accepted.  My simple example of the power of M2M featured communications among a population of Coke machines in a large downtown area sharing real-time inventory data to allow any individual machine to direct a customer to the next closest machine should they be out of the carbonated beverage that customer desired at that particular time.

That example was fanciful at the time, but M2M has now gained traction as one of the “next big things” as hundreds of companies are combining wireless, Wi-Fi, mobile, web, and context technologies to offer information and convenience in innovative new ways.  The escalating pace of adoption for smart devices – phones, tablets, home appliances, industrial equipment - is creating new demands on enterprises and consumers around the globe which requires new thinking about the connected environment.

M2M technologies allow wireless and wired systems to communicate with other devices possessing the same capability.  M2M uses sensors, meters or like devices to capture event data (electricity usage, temperature, inventory) and share it via network with an application that translates the data into information that can be used by other devices, networks, applications and enterprises.

M2M is a critical platform for the enablement and maturation of the concept of the “internet of things” which includes everything from smartphone apps that control a home's living environment remotely to real-time analytics that help ease traffic congestion and city parking challenges.

The notion of an “internet of things” has been around for a while now.  Kevin Ashton coined the term in 1999.  Of course, a concept is never truly viable until it has its own consortium hence, the Internet of Things Consortium

The Internet of Things (IoT) represents the connection of all machines, devices, sensors, automobiles, cameras, and other "things" to help customers improve operations and save valuable time, money and even lives. The IoT connects places such as manufacturing floors, energy grids, healthcare facilities, and transportation systems.

With cloud infrastructure becoming more prominent, M2M applications have expanded beyond a one-to-one connection to become a system of networks that transmits data to personal appliances. This has made it far easier to effect M2M communication and lessened the amount of power and time necessary for information to be communicated between machines.

The critical dynamic here, and one that has been growing for at least 15 years, is that smart devices connected to the internet would eventually far outnumber the people that would be connected to the internet.  Voila! We are there.  Per Cisco, over 12.5 billion devices were connected in 2010 and Cisco’s Internet Business Solutions Group (IBSG) predicts some 25 billion devices will be connected by 2015, and 50 billion by 2020.

ERP solution provider SAP has begun to explore M2M and recently conducted a survey among IT decision makers on the impact, current and forecasted, of M2M.  Some interesting data points that emerged from that survey included:

• 85 percent of IT decision makers (ITDMs) think that M2M is a natural technological evolution and will advance the "consumerization of IT" trend
• 82 percent think that M2M interaction enables businesses to respond to real-world events
• Sixty-five percent of ITDMs think increased workforce mobility is the biggest opportunity for M2M
• 65 percent think the major challenge in M2M is managing and analyzing the real-time data.
• By year's end:
  • Mobile devices will outnumber the human population
  • Data volume will reach 4 billion terabytes
  • 90 percent of consumer-connected devices will have access to some personal cloud.
  • SAP estimated that by the end of 2020, there will be 24 billion connected devices and by 2015, 35 percent of mid-to-large organizations will adopt in-memory computing

The possibilities for machine-to-machine in concert with other emerging technologies are extraordinary. Almost every machine or device has the potential to become connected, creating interactions with other technologies and services and bringing significant impacts to processes in and across all industries.

As the notion of an “Internet of things” becomes increasingly mainstream, businesses will incorporate machine-to-machine technology to gather and use information towards both strategic and tactical ends. The end result will be new products and services that will drive new revenue streams and reduce costs for businesses.

Smart Grid Spending Explodes

A new report by ABI Research on utilities and smart grids spotlights the rapidly increasing capital investment in the component technologies that form the backbone of smart grid infrastructure. We have discussed aspects of the smart grid in the past here and here but the pace of investment is becoming parabolic as the benefit and value of the technology is becoming more profound.

A smart grid is an electrical grid that uses information and communications technology to gather and act on information, such as information about the behaviors of suppliers and consumers, in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.

According to the ABI Report,

Spending by utilities transitioning their networks to Smart Grid capabilities reached $23.68 billion in 2012. Highlighting the growing momentum behind the spending, 2012’s total alone represents 48% of Smart Grid spending to date. During the year, spending on transmission and distribution capabilities surpassed smart meter investments as utilities increasingly looked to improve their core networks and maximize the benefits of their growing Advanced Metering Infrastructure (AMI) deployments.

Smart grid spending in 2012 was up 47.1% from $16.10 billion in 2011 as remaining government stimulus funds were spent in the United States and utilities around the world increased their own investments. Even so, these remain the early years of Smart Grid investments and spending will continue to grow over the next five years to reach $80.8 billion during 2018.

Key areas for strategic investment in the smart grid build out remain the same as they have been for the past decade, including:

• AMI
• Demand Response
• Grid Optimization
• Distribution Automation
• Software and Application provision
• System Integration
• Connectivity

You can read more of ABI’s research on smart grid here.

Inbound Marketing the Hubspot Way

We don’t really endorse products/solutions/services per se here at Nonlinear Thinking but we were to make that leap, we couldn’t find a better company to endorse than Hubspot.  They have done nothing short of inventing and then reinventing the concept, process and practice of inbound marketing.

Having used Hubspot almost since its inception, the endorsement comes from practical experience.  It just makes your marketing better.

The key components in their definition of inbound marketing include:

• Content Creation - You create targeted content that answers your customer's basic questions and needs, and you share that content far and wide.
• Lifecycle Marketing - You recognize that people go through stages as they interact with your company, and that each stage requires different marketing actions.
• Personalization - As you learn more about your leads over time, you can better personalize your messages to their specific needs.
• Multi-channel - Inbound marketing is multi-channel by nature because it approaches people where they are, in the channel where they want to interact with you.
• Integration - Your publishing and analytics tools all work together like a well-oiled machine, allowing you to focus on publishing the right content in the right place at the right time.

Addendum: Social Business Gains Traction

As an addendum to an earlier post on social business, this chart from the second annual MIT and Deloitte Social Business Global Executive Study and Research Project survey on how businesses use social media suggests that the concept of social business is being adopted aggressively across all industries.  How well and how strategically it is being adopted is still an open question.

 In all 12 of the major industry sectors covered by the survey, the percentage of respondents who said social software or social business was “important to their organization today” increased from the previous year’s survey. No industry sector declined and none remained flat.

Interestingly, the industry sector with the strongest year over year increase in the survey was energy and utilities, moving from 7% of respondents ranking social business as “important” in 2011 to 29.1% in 2012.  That exponential increase may be linked with the increasing adoption of smart grid technologies that allow utilities to more easily interact with their customers.  A 2012 research report by Navigant Research predicted that by the end of 2017, the number of utility customers using social media to engage with the utility companies would rise from 57 million in 2011 to 624 million.

Unsurprisingly, for the second year in a row, the technology/media/telecommunications sector respondents were most likely to rate social business as important to their organization with 87% saying that social business was important or somewhat important to their organizations in 2012.  A bit more surprising was that the education (82%) and professional services sectors (76%) followed closely behind.

Another finding from the survey was that while companies in most industries are generating social data from their initiatives, few businesses were analyzing the data or integrating it into their organization’s systems and processes.

The new study from MIT and Deloitte will be released in July.