Technologies
Technologies for Business and Life
SYNCHRONIUM® means technology and innovation. Our aim is to employ leading-edge technologies to make our world a better place to work and life!
Human, Machine, and Harmony!
We are living in an era of rapid technological changes and transformation. 100 years ago, it was hard to imagine that computers can be invented, telecommunication can build the World Village, and Information Technology can become the most important part of human business and life! At SYNCHRONIUM® we do believe that the change never changes and it will happen.
There are many arguments about the technological advances in machine learning, distributed ledger, cognitive technologies, Internet of Things, Cloud, etc. Technology has redefined the boundaries and privacy has become a key concern for everyone!
SYNCHRONIUM® aims to develop technology in favor of mankind. We believe that technology is the last savior of mankind to overcome the rising challenges in climate change, peace-keeping, social welfare, equality, freedom, liberation, poverty alleviation, and creating equal and fair opportunities for all nations and everyone to achieve their deserved positions and opportunities for better life.
This is why we started SYNCHRONIUM® not only as a company, society, global network, and/or platform but as a movement to use technology in favor of mankind and nature, and as a journey to discover technological unexplored aspects that can make our world a better place for business, life, happiness, love, and peace.
Cloud Computing Technology
Cloud Computing
From private, public and hybrid cloud to cloud services and cloud evolutions
Cloud computing, also called the cloud, is a key given in many current and future evolutions. The cloud plays an essential role in the technological stack which enables digital transformation and is even the main delivery model in digital transformation projects.
Cloud computing is also one of the essential enablers of Industry 4.0, has been shaping the software and business applications market for over a decade and has an important place in the development of the Internet of Things or IoT, to give just a few examples. In fact, a lot of the technological enablers, innovations and ‘disruptive’ newcomers in areas such as FinTech (financial technology) and the sharing economy, which we have seen popping up in recent years, simply aren’t possible without the cloud.
Internet of Things Technology
Internet of Things
Things in motion to process and serve business and life
The Internet of Things (IoT) is a network of things which are connected to the Internet. These things include IoT devices and IoT-enabled physical assets. They range from consumer devices such as smart home solutions or pet trackers to sensor-equipped connected livestock and crop, industrial assets such as machines, robots, oil and gas facilities or even workers.
In fact, you can connect everything and everything is indeed a lot. The question is not what you can connect but why you would do so: the purpose, the outcomes. And here as well there are a lot of potential goals which determine what things you want to connect so you can capture data from them (and have sent from, between and/or to them).
IoT is an umbrella term with many use cases, technologies, standards, and applications. Moreover, it’s part of a bigger reality with even more technologies. The things and data are the starting point and essence of what IoT enables and means. IoT devices and assets are equipped with electronics, such as sensors and actuators, connectivity/communication electronics and software to capture, filter and exchange data about themselves, their state and their environment.
Distributed Ledger Technology
Blockchain Technology
Digital trust and distributed ledger technology (DLT) in business
Distributed ledger technology (DLT, also known as blockchain technology) revolves around an encoded and distributed database serving as a ledger (hence distributed ledger technology) whereby records regarding transactions are stored. At the core DLT is an innovative database approach with a data model whereby cryptography (encryption) is utilized in each transaction update and verification become possible across the specific blockchain network, depending on its goal and stakeholders.
Distributed ledger technology in practice and beyond cryptocurrencies – how blockchains and DLT work, industries, applications, evolutions, networks, and business reality.
Is there still something that blockchain, a Distributed Ledger Technology (DLT), and known as the technology that powers cryptocurrency Bitcoin, doesn’t promise to change in digital business and transaction processing and digital services requiring trust in one shape or another? Or perhaps better: is there still some challenge, organizational or other, whereby blockchain isn’t hyped as the ultimate solution?
Big Data Analytics
Blockchain Technology
Digital trust and distributed ledger technology (DLT) in business
Originally, Big Data mainly was used as a term to refer to the size and complexity of data sets, as well as to the different forms of processing, analyzing and so forth that were needed to deal with those larger and more complex data sets and unlock their value. Most people used to look at the pure volume and variety perspective: more data, more types of data, more sources of data and more diverse forms of data.
But data as such is meaningless, as is volume. What really matters is meaning, actionable data, actionable information, actionable intelligence, a goal and…the action to get there and move from data to decisions and…actions, thanks to Big Data analytics (BDA) and, how else could it be, artificial intelligence.
Artificial Intelligence
Artificial Intelligence Technology
From ANI to ASI; an opportunity or threat for business and life? The choice is us!
Originally, Big Data mainly was used as a term to refer to the size and complexity of data sets, as well as to the different forms of processing, analyzing and so forth that were needed to deal with those larger and more complex data sets and unlock their value. Most people used to look at the pure volume and variety perspective: more data, more types of data, more sources of data and more diverse forms of data.
But data as such is meaningless, as is volume. What really matters is meaning, actionable data, actionable information, actionable intelligence, a goal and…the action to get there and move from data to decisions and…actions, thanks to Big Data analytics (BDA) and, how else could it be, artificial intelligence.
