Welcome!

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

Related Topics: @ThingsExpo, Java IoT, Linux Containers, Agile Computing, @CloudExpo, @DXWorldExpo

@ThingsExpo: Article

Smart Home, Building City M2M Applications

M2M communications growth is expected to accelerate especially due to the anticipated Internet of Things ecosystem

Reportbuyer.com has added a new market research report: Smart Home, Building City Machine-to-Machine (M2M) Applications. Machine-to-Machine (M2M) communications growth is expected to accelerate, particularly in certain industry verticals, and especially due to the anticipated Internet of Things (IoT) ecosystem. One of the key areas of growth for M2M and IoT falls within the area of smart homes, smart buildings including offices and industrial, and smart cities.

One of the original definitions of a "smart home" is a residence that has highly advanced automatic systems for lighting, temperature control, multi-media, security, window and door operations, and many other functions. With the expansion of broadband communications and M2M/IoT, intelligence in the home is taking on a whole new meaning as various connected home applications are transforming entertainment, information, health and general well-being. Some of the key Smart Home topics covered in this report are:

  • Key Elements of Smart Home
  • Smart Home Ecosystem Analysis
  • Evolution of Smart Home Ecosystem
  • Future of Smart Home Apps and Services

Mind Commerce anticipates significant investment in both traditional infrastructure (such as intelligent transportation systems) as well as next generation ICT systems (such as sensors monitoring water levels, energy usage, traffic flows, and security cameras, and sending that data directly to city administrators). In addition, certain governments are making substantial investments in political, human and social capital. For example, India has recently announced a goal to develop up to 100 smart cities country-wide.

Some of the key Smart City topics covered in this report are:

  • Smart City Strategies
  • Essential Elements of Smart City
  • Global Smart City Development
  • Framework for Smart City and Role of M2M

While measuring the direct ROI will be problematic for the next few years, longer term objectives include sustainable economic development and a high quality of life, with wise management of natural resources, through participatory action and engagement.

Smart Home, Building City Machine-to-Machine (M2M) Applications includes 34 charts, diagrams, figures and tables along with 12 case studies.

More Stories By Pat Romanski

News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.

DXWorldEXPO Digital Transformation Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
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...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...