Why Iagon ?

Market Needs

The global market is going to experience exponential growth in the demand for low-cost and reliable storage with the increasing collection and generation of huge volumes of data. For example, corporates are expected to collect large amounts of omni-channel (meaning: multiple channel) data about customers and competitors. Other data will be collected from IoT devices, such as sensors, medical devices, autonomous cars, Industry 4.0 controllers, smart home systems and more.

Companies will need to analyze these vast amounts of data by applying advanced analytics and Artificial Intelligence techniques to derive managerial, operational, business and functional insights to react to changes and trends in their environment. The application of AI-based tools (such as Machine Learning and Deep Learning) requires vast processing power. Additionally, many companies gradually shift from on premise architecture of their information systems to cloud computing. Thereby, IAGON’S solutions will support all these trends.

Cloud Computing Cost Cutting Technology

Cloud computing is a cost cutting technology for businesses. It is based on the use of computing resources that are delivered to customers with the help of Internet technologies and communications, regardless of their locations. When a company moves to a cloud-based service model, in practice it moves away from the traditional capital expenditure model to an operating expenditure model. Cost cutting is a major task for the CFOs for the smooth running of their business, where most of the times the IT budget is a worrisome matter for them. It is difficult to manage the IT Infrastructure with a small number of IT workers within the organization to keep on changing, maintaining and managing the IT infrastructure of the company. Additionally, most of the costly IT hardware is employed for occasional computing purposes and is not fully utilized. For each and every node, smart device or server, IT people spend long hours installing, configuring and making it ready for the use. Consequently, businesses that are purely concentrating through their online portals find it scaling up their operations difficult. Agility, performance and capacity planning become increasingly difficult for IT managers to handle. IAGON will provide very cost effective and reliable solutions to the CFOs, IT managers, and CEOs in any sector.

Harnessing the Innovating Blockchain Technology

The Blockchain is an undeniably ingenious invention, which created the backbone of a new type of Internet communication. Originally devised for the digital currency, Bitcoin, the tech community is now finding other potential uses for the technology. Bitcoin has been called “digital gold” and for a good reason. To date (As of February 9th, 2018), the total value of the currency is close to $142 billion USD. Yet, the Blockchain can make other types of digital value as well.

The Blockchain sphere offers the following unique benefits:

  • Decentralization - This is a core concept and benefit of Blockchain: There is no need for a trusted third party or intermediary to validate transactions, but rather a consensus mechanism is applied to agree on the validity of transactions.
  • Transparency and Trust - As Blockchain is a shared ledger and everyone can see what is on the blockchain, the architecture allows the system to be transparent and, consequently, trust is established. This attribute is relevant when disbursement of funds or benefits with personal discretion is of importance.
  • Immutability - Once data is written into the Blockchain, it is extremely difficult to modify them. Unauthorized changing of data is extremely difficult and virtually impossible, thereby maintaining an immutable ledger of transactions.
  • High Availability - As the system is based on thousands of nodes inter-connected in a peer-to-peer network and data are replicated and updated on every node, hence the system becomes highly available. Even if nodes leave the network or become inaccessible, the network as a whole continues to work, thus making it fully available at any time.
  • Highly Secure - All the transactions on the Blockchain are secure at the highest cryptographic level and provide complete data integrity.
  • Simplification of current paradigms - The current model in many industries (such as finance and healthcare) is rather disorganized, as multiple entities maintain their own databases. Data sharing can become very difficult due to the disparate nature of the systems. Nonetheless, as the Blockchain can serve as a single shared ledger among interested parties, it can simplify the data model and management by reducing the complexity of separate systems maintained by each entity.
  • Faster Dealings - In the financial industry, especially in post-trade settlement functions, Blockchain can play a vital role by allowing the quicker settlement of trades, as it does not require a lengthy process of verification, reconciliation and clearance, as a single version of agreed upon data is already available on a shared ledger between financial organizations.
  • Cost Savings - As the Blockchain model does not require any third party or clearing houses, it can massively eliminate overhead costs in the form of fees paid to clearing houses or to trusted third parties.

Big Data: The next Frontier for innovation, competition and productivity.

The amount of data in our world has been exploding, and analyzing Big Data becomes a key basis of competition, underpinning new waves of productivity growth, innovation and consumer surplus, according to research by MGI and McKinsey's Business Technology Office. Leaders in every sector will have to grapple with the implications of Big Data, beyond the few data-oriented managers that currently do so. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things (IoT) will fuel the exponential growth of data in the near future.

Some examples of sources from which Big Data repositories are generated are as follows:

  1. Medical Sensors and Equipment Data: Data generated from medical examinations and from continuous recordings of indicators of the patient’s health condition (from multiple sensors and devices) generates vast amounts of data per patient. This data is highly sensitive and private due to the awareness and legislation of the patient’s privacy rights in most countries.
  2. Black Box Data: Data generated by airplanes, jets and helicopters. Black box data includes flight crew voices, microphone recordings, and aircraft performance information.
  3. Social Media Data: Data developed by social media sites such as Twitter, Facebook, Instagram, Pinterest, Google+ and more.
  4. Stock Exchange Data: Financial data from stock exchanges, including prices at any time, share selling and buying decisions made by customers.
  5. Power Grid Data: Data from power grids that hold information on particular nodes, such as usage information.
  6. Transport Data: Data includes capacity, vehicle model, location, availability and distance covered by a vehicle. With the introduction of autonomous cars, research suggests that each autonomous car will collect and generate more than 25GB of data per hour, including sensor data, inter-car transmissions, geographical data, video and audio.
  7. Search Engine Data: One of the largest sources of big data. Search engines have vast databases from which they obtain their data