Welcome!

@ThingsExpo Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Elizabeth White, Zakia Bouachraoui

Blog Feed Post

IoT Top News: M2M Propels Machines

Time and again, those keeping a pulse on the Internet of Things (IoT) space frequently hear about the “rise of the machines.” Humanity is not only discovering fascinating ways to integrate machines into our daily lives, but also finding new uses for machines as well. How? Machines are now “internet-connected” just like the smartphones we carry around in our pockets. And this isn’t just on the commercial side with the likes of smart thermostats or connected vehicles – even tractors and oil and gas machinery are industrial examples of where new “things” are now on the digital network.

In fact, there are more M2M or “machine-to-machine” communication devices on this planet than humans. As GSMA Intelligence reported in 2014, there are 7.2bn M2M devices versus 7.19bn humans. Stuart Taylor from Cisco also wrote a prediction that “The Internet of Things (IoT) is a world where up to 50 billion things (or devices) will be connected to the Internet by 2020; or, the equivalent of 6 devices for every person on the planet.”

Realizing the major role M2M devices continue to have in our connected world, specifically as it relates to the advent of machine learning, it’s only natural to highlight the impact of machines and M2M in the past, present and future.

The Machines are Coming: How M2M Spawned the Internet of Things

M2M - Machine Learninghttp://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 300w" sizes="(max-width: 718px) 100vw, 718px" />

In the digital world, M2M wireless solutions will work for us quietly, in the background solving all our day-to-day needs. John Kennedy with Silicon Republic reports that, “M2M is at the heart of the industrial internet of things (IIoT), powering smart factories that can be run remotely from a tablet computer, and smart buildings that monitor their environment and feed data back to the cloud.”

Is Machine Learning Over Hyped?

M2M - Machine Learninghttp://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 300w, http://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 768w, http://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 1024w" sizes="(max-width: 1300px) 100vw, 1300px" />

In the now 24-hour news cycle, often the top news lingers around lighter topics. So how much hype should be given to machine learning (ML)? The Huffington Post respondent Scott Aaronson, theoretical computer scientist at MIT, seems to think that “There’s no doubt in my mind that people 30 years from now will agree with us about the central importance of ML, but which aspects of ML will they rage at us for ignoring, or laugh at us for obsessing about when we shouldn’t have?

Machine Learning: Demystifying Linear Regression and Feature Selection

M2M - Machine Learninghttp://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 300w" sizes="(max-width: 700px) 100vw, 700px" />

Machine learning needs to integrate domain knowledge in order to improve the quality of data collected from analysts. Josh Lewis with Computerworld thinks that, “Business people need to demand more from machine learning so they can connect data scientists’ work to relevant action.”

Machine Learning Examples Crop up for Data Center Management

M2M - Machine Learninghttp://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 300w, http://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 768w, http://wavelengths.freewave.com/wp-content/uploads/2016/05/Machine-Learn... 1024w" sizes="(max-width: 1200px) 100vw, 1200px" />

Data centers appear to be the perfect place for enterprises to implement machine learning to its fullest. Christopher Yetman, COO at Vantage Data said, “There are also sensors that generate data about air pressure, humidity, temperature and supply voltage and typically feed into a programmable logic controller.”

M2M Technology Driving Agriculture’s Industrialization M2M - Machine Learning

On a global front, M2M is driving agriculture’s industrialization in South Africa. IT News Africa informs us that, “Given the ability to automate many monitoring and control functions through intelligent devices, agriculture is a prime target for leveraging M2M capabilities.”

We hope you have enjoyed this week’s roundup, and as M2M connections continue to pile-up, we urge you to consider the plethora of commercial and industrial use cases that can benefit from these innovations.

 

The post IoT Top News: M2M Propels Machines appeared first on FreeWave WaveLengths.

Read the original blog entry...

More Stories By Scott Allen

Scott is an executive leader with more than 25 years of experience in product lifecycle management, product marketing, business development, and technology deployment. He offers a unique blend of start-up aggressiveness and established company executive leadership, with expertise in product delivery, demand generation, and global market expansion. As CMO of FreeWave, Scott is responsible for product life cycle/management, GTM execution, demand generation, and brand creation/expansion strategies.

Prior to joining FreeWave, Scott held executive management positions at Fluke Networks (a Danaher Company), Network Associates (McAfee), and several start-ups including Mazu Networks and NEXVU Business Solutions. Scott earned his BA in Computer Information Systems from Weber University.

IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...