“Make your mold. The best flux in the world will not make a usable shape unless you have a mold to pour it in.” Flux has been and continues to remain a phenomenon of phenomena describing perceptions about evolution & existence of life & livelihood. Some term it “Change” and other’s “Time”. Some know it like air, fire, water and earth and other’s consider it beyond basics. It has been studied alongwith astronomy, astrology and evolutionary sciences. It has been expressed in mathematics, philosophy and arts. It will continue to be interpreted, deliberated and debated in analog, digital, gravitational or celestial spectrums. According to common interpretations “flux is power shaping energies and perception developing realities”. Contemporary life and living is totally influenced by the digital flux and essentially requires digital molds of enhanced capacity & agility to endure; making more out of it. Digital industry is connecting things at an exponential rate and data consumption parallels this growth. Information is retrieved by analyzing raw data and this intensive process of validating information ultimately creates knowledge that serves entire humanity. Emergence of sophisticated tools and technologies allowing to parse and mine raw data and materialization of intelligent machines capable to learn on their own, formulating hypotheses, designing and running experiments, analyzing data, and deciding which experiments to run next and ultimately connect to each other sharing their own findings will aid us in performing challenging tasks being no longer constrained by our human limitations in creating knowledge.
These technological advancements are having profound impacts on the business value chain and training ecosystem. Professionals and business entities have recognized this digital transformation requirement to remain competitive in the market; artists have embraced digital technologies to enhance their creative works and individuals have recognized the value of technology to remain connected. Not only ICT workers but the entire workforce, from highly skilled scientists to production line workers, is increasingly affected by rapid changes in adoption of digital technology in the workplace. International markets therefore essentially require a sufficient quantity of skilled professionals across occupations and geographical regions. Despite the fact that internet, social media and virtual realities are opening up new channels for learning, a digital skills divide still widely persists because a significant proportion of society has less access to new technology and is falling behind in adoption of digital skills. Machine-to-Machine communications is the exchange of data between machines over a wireless network. M2M makes machines intelligent by attaching devices/sensors to it, enabling communication via networks delivering data to applications. The intelligent sensors are embedded in the system and capture events pertaining to physical, logical and functional state variations like, temperature, location, illumination, consumption and operation.
M2M communications provides immediate feedback regarding security, functionality and performance of remote resources (people & assets) for proactive asset management, service delivery and business continuity. This capability allows the device/asset/machine vendor to reduce its service management costs through remote diagnostics, remote troubleshooting, remote updates and other remote capabilities that reduce the need to deploy field service personnel.
Typically M2M relies on point-to-point communications using embedded hardware modules and cellular or wired networks whereas industrial Internet of Things (IoT) solutions rely on IP-based networks to interface device data to a cloud or middleware platform. Integration of devices and sensors data with big data, analytics and enterprise applications is core IoT concept; providing ability to assess data from a system level as well as at the device or machine level, and to apply analytics and process big data for incremental benefits. IoT’s reliance on software and universal visualization capabilities allow data to be presented anywhere, including on mobile devices, to assigned users. IoT bears greater market potential because of higher-order benefits including enterprise integration, capacity, flexibility, scalability and manageability. M2M and IoT technology is a key enabler of systems, applications and services across a range of verticals including;
Digital skilled resource requirements necessitate an extensive training program at global scale to impart working knowledge of M2M and IoT industry standards, reference architectures, protocols, products and platforms. The learning aims to develop demonstrated ability in one or more specific M2M/IoT markets and ecosystems. Participants will also be provided with sound understanding of wireless network access; core and VAS network elements, including functionality and protocol/ message sequence. Familiarization with Over the Air (OTA) technologies allowing updates to SIM cards and devices (SIM OTA, Subscription Management, Subscription SIM, DM manager and clients, etc) and Cloud Computing will also be the part of training. Furthermore knowledge of network and device security, server virtualization, data warehouse and data intelligence also remains an integral part of such trainings.
The proposition of initiating M2M/IoT skill development program for rural populations and professionals having disabilities is perfectly aligned with progressive initiative being taken by the public and private sector creating better possibilities to achieve socioeconomic development, personal growth and smart living.