Skip to main content

New Technology Trends for 2024

Technologies whose development, practical applications, or both are still largely unrealized. These technologies are generally new but also include older technologies finding new applications.


  • Generative AI
  • Quantum computing
  • Sustainable technology
  • Blockchain
  • Edge computing
  • 5G
  • Robotics
  • Extended reality
  • Internet of Things
  • Cybersecurity
  • Virtual reality
  • Artificial intelligence
  • Augmented reality
  • Digital twins
  • 3D printing
  • Applications
  • Autonomous devices
  • Cloud technology
  • Renewable energy
  • Autonomous vehicles
  • Continuous Threat exposure Management
  • Cryptocurrencies
  • Cybersecurity and privacy
  • Datafication

Comments

Popular posts from this blog

5G Technology

5G Technology What is 5G? 5G is the fifth generation of cellular technology. It is designed to increase speed, reduce latency, and improve flexibility of wireless services. It is a new global wireless standard after 1G, 2G, 3G, and 4G networks. 5G enables a new kind of network that is designed to connect virtually everyone and everything together including machines, objects, and devices. The 5G network will also simplify mobility, with seamless open roaming capabilities between cellular and Wi-Fi access. Mobile users can stay connected as they move between outdoor wireless connections and wireless networks inside buildings without user intervention or the need for users to reauthenticate. 5G technology will introduce advances throughout network architecture. 5G New Radio, the global standard for a more capable 5G wireless air interface, will cover spectrums not used in 4G. New antennas will incorporate technology known as massive MIMO (multiple input, multiple output), which enables mu

AI | Artificial Intelligence | Technology

  In a world where technology is constantly evolving and advancing, artificial intelligence stands out as one of the most fascinating and revolutionary developments of our time. From self-driving cars to virtual assistants, AI has become an integral part of our daily lives, and its potential for the future seems limitless. At its core, artificial intelligence refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It involves the development of algorithms and systems that can perform tasks that would typically require human intelligence, such as problem-solving, pattern recognition, and decision-making. The goal of AI is to create machines that can mimic human cognitive functions and even surpass them in certain areas. One of the most prominent aspects of artificial intelligence is machine learning, which allows machines to analyze and interpret data, learn from it, and make decisions based on that data. Machine learning algorithms

What is Datafication?

  What is Datafication? Datafication, according to MayerSchoenberger and Cukier is the transformation of social action into online quantified data, thus allowing for real-time tracking and predictive analysis. Simply said, it is about taking previously invisible process/activity and turning it into data, that can be monitored, tracked, analysed and optimised. Latest technologies we use have enabled lots of new ways of ‘datify’ our daily and basic activities. So, What Exactly is Datafication? In business, datafication can be defined as a process that “aims to transform most aspects of a business into quantifiable data that can be tracked, monitored, and analyzed. It refers to the use of tools and processes to turn an organization into a data-driven enterprise.”  There are three areas of business where datafication can really make an impact: Analytics In today’s data-driven world, analytics is king. By collecting and analyzing data, businesses can gain valuable insights into consumer beh