New Technology

Internet of Things (IoT)? IoT has become one of the most important technologies of the 21st century. Now that we can connect everyday objects—kitchen appliances, cars, thermostats, baby monitors—to the internet via embedded devices, seamless communication is possible between people, processes, and things. By means of low-cost computing, the cloud, big data, analytics, and mobile technologies, physical things can share and collect data with minimal human intervention. Access to low-cost, low-power sensor technology Connectivity Cloud computing platforms Machine learning and analytics Conversational artificial intelligence (AI) With IoT, data is transferable over a network without requiring human-to-human or human-to-computer interactions. How does IoT work? An IoT ecosystem consists of web-enabled smart devices that use embedded systems -- such as processors, sensors and communication hardware -- to collect, send and act on data they acquire from their environments. The Internet of Thin

What is Microsoft Power Platform? Microsoft Power Platform is composed of four key products: Power Apps, Power Automate, Power BI and Power Virtual Agents.   Power Apps: provides a rapid low code development environment for building custom apps for business needs. It has services, connectors, and a scalable data service and app platform (Microsoft Dataverse) to allow simple integration and interaction with existing data. Power Apps enables the creation of web and mobile applications that run on all devices. People use apps for every area of their lives, and business should be no exception. Most out of the box solutions do not meet exact business needs or integrate well with other business programs. Power Apps eases users into app development with a simple interface so that every business user or pro developer can build custom apps.   Power Automate: lets users create automated workflows between applications and services. It helps automate repetitive business processes such as communic

Blockchain Technology Blockchain is a shared, immutable ledger that facilitates the process of recording transactions every entries in proper chain format.  Because there is no way to change a block, the only trust needed is at the point where a user or program enters data.  This aspect reduces the need for trusted third parties, which are usually auditors or other humans that add costs and make mistakes. Blockchain is a type of shared database that differs from a typical database in the way it stores information; blockchains store data in blocks linked together via cryptography. Different types of information can be stored on a blockchain, but the most common use for transactions has been as a ledger.  In Bitcoin’s case, blockchain is decentralized so that no single person or group has control—instead, all users collectively retain control. Decentralized blockchains are immutable, which means that the data entered is irreversible. For Bitcoin, transactions are permanently recorded and

RPA? How robotic process automation streamlines business processes Two kinds of RPA: Attended and unattended Attended automation Attended automation allows you to focus on more high-value work across your organisation. It does this by automating repetitive, manual, front-office activities and mimics actions you perform on your desktop or browser, like mouse clicks, by recording and playing back these actions in real time. Unattended automation By contrast, as its name suggests, unattended automation doesn’t require someone to be at their computer. Instead, unattended bots do the work by themselves recording and playing back actions. Because they can use triggers and schedule automated events, they’re ideal for accelerating the automation of high-volume tasks across your organisation. Faster ROI and improved compliance Because they don’t require custom code from the development team, bots are a very low-cost solution. They’re also easy to implement quickly. As a result, ROI from impleme

 Robotic process automation What is RPA? Robotic Process Automation (RPA) is software technology it is easy for all to use to automate repeated task. With RPA, software users create software robots, that can learn, mimic, and then execute rules-based business processes. Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that minimize human’s actions interacting with digital systems and software. Benefits of RPA Robotic process automation streamlines workflows, which makes organizations more profitable, flexible and responsive. RPA is noninvasive and can be rapidly implemented to accelerate digital transformation. It also increases employee satisfaction, engagement and productivity by removing mundane tasks from their workdays. • Less coding • Rapid cost savings • Higher customer satisfaction • Improved employee morale • Better accuracy and compliance  • Existing systems remain in place RPA software tools

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

  What is artificial intelligence? Artificial intelligence is technology that enables devices to learn, read, write, talk, see, create, play, analyse etc. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision and many more. Although there have been numerous cycles of hype around artificial intelligence, even detractors appear to agree that OpenAI's ChatGPT represents a sea change. The previous time generative AI was this significant, advances in computer vision led the way; this time, natural language processing (NLP) is leading the way. Not only can generative models understand human language, but they can also understand the grammar of various other data kinds, including software code, chemicals, and natural imagery. Some no-code interfaces allow non-programmers to construct and alter programmes fast a