Post by account_disabled on Feb 22, 2024 4:23:31 GMT -6
Internet of Things (IoT) — or Internet of Things (IoT) — is one of the largest windows open today to the future of information and communication technologies . Its presence and prominence in the general media has been gaining weight in recent months (in the specialized press, its reference goes back several years), and nothing suggests that this ownership will decrease, quite the opposite. In a short time, the Internet of Things and the advances made in this area will leave behind, in a mere anecdotal consideration, the volume and variety of data that is currently handled. This data serves as an example: experts estimate that within 5 years, more than 25 billion devices will feed the data obtained through IoT , and that the technologies and systems based on its development will contribute close to 13 trillion euros (with "b") to the world gross domestic product.
Internet of Things and Big Data Analytics, an unappealable alliance The Internet of Things is closely related to the possibility (and the need) to control and monitor states, activities and processes of the most diverse nature. The mechanism is easily intelligible : the same device acts as an emitter of radio frequency waves, which are captured by RFID (radio frequency identification) chips inserted in what is to be monitored, and returned to the emitting device, which this time acts as a receiver of the information. transmitted, enriched with the data Chinese Student Phone Number List necessary to provide different relevant information (position, status, use...). The applications of the Internet of Things are practically infinite: any object can be monitored remotely . And in a direct relationship with its use, the amount of new data provided increases exponentially. It is evident that, given such future prospects (an immediate future, let us not forget), advances in data analysis and management take on a more than outstanding relevance, essential for both companies and individuals, all of them potential consumers of the solutions. that specialized companies launch on the market in multiple forms and formats (software, mobile applications...). Already today we are witnessing movements that point in this direction.
The most recent, the investment that IBM (world leader in the offering of Business Intelligent and data analytics solutions ) has made to develop a new business unit, associated with several R&D&i centers and focused solely on developing solutions for the Internet of things . An investment close to 3,000 million USD and that I have already begun to materialize, in certain areas (at the moment those related to the development of solutions for the business world), in solutions with name and surname, such as IBM IoT Cloud Open Platform , a data management platform for IoT based on cloud services . The first challenges to be faced in this new project, according to those responsible, are related to increasing the security and reliability of data collection, storage and management systems in the cloud , an obstacle that will share prominence with other challenges, especially which and their possible solutions we will know more details in the coming months. A near, imminent horizon that reminds us of the importance of having an adequate data management strategy, an issue that resources such as the free guide 10 keys to defining your corporate data management strategy can help us address with maximum solvency.
Internet of Things and Big Data Analytics, an unappealable alliance The Internet of Things is closely related to the possibility (and the need) to control and monitor states, activities and processes of the most diverse nature. The mechanism is easily intelligible : the same device acts as an emitter of radio frequency waves, which are captured by RFID (radio frequency identification) chips inserted in what is to be monitored, and returned to the emitting device, which this time acts as a receiver of the information. transmitted, enriched with the data Chinese Student Phone Number List necessary to provide different relevant information (position, status, use...). The applications of the Internet of Things are practically infinite: any object can be monitored remotely . And in a direct relationship with its use, the amount of new data provided increases exponentially. It is evident that, given such future prospects (an immediate future, let us not forget), advances in data analysis and management take on a more than outstanding relevance, essential for both companies and individuals, all of them potential consumers of the solutions. that specialized companies launch on the market in multiple forms and formats (software, mobile applications...). Already today we are witnessing movements that point in this direction.
The most recent, the investment that IBM (world leader in the offering of Business Intelligent and data analytics solutions ) has made to develop a new business unit, associated with several R&D&i centers and focused solely on developing solutions for the Internet of things . An investment close to 3,000 million USD and that I have already begun to materialize, in certain areas (at the moment those related to the development of solutions for the business world), in solutions with name and surname, such as IBM IoT Cloud Open Platform , a data management platform for IoT based on cloud services . The first challenges to be faced in this new project, according to those responsible, are related to increasing the security and reliability of data collection, storage and management systems in the cloud , an obstacle that will share prominence with other challenges, especially which and their possible solutions we will know more details in the coming months. A near, imminent horizon that reminds us of the importance of having an adequate data management strategy, an issue that resources such as the free guide 10 keys to defining your corporate data management strategy can help us address with maximum solvency.