Exploring Innovations in the IT Industry – By Bhanuka – eLanka In an era where technological advancements are revolutionizing the way we live, work, and interact, the Information Technology (IT) sector stands at the forefront of innovation. From artificial intelligence to blockchain, cloud computing to cybersecurity, the IT industry continues to push the boundaries of what’s possible, reshaping the digital landscape in profound ways. Artificial Intelligence (AI) and Machine Learning (ML): One of the most transformative technologies of our time, AI and ML are driving unprecedented automation and decision-making capabilities across various industries. From predictive analytics to natural language processing, AI-powered solutions are streamlining processes, enhancing productivity, and unlocking new opportunities for businesses worldwide. Blockchain Technology: Blockchain technology, renowned for its decentralized and immutable nature, is revolutionizing data management, financial transactions, and supply chain operations. With its potential to enhance transparency, security, and trust, blockchain is paving the way for ...

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THE AI ART STORY – an excerpt of my creations – By Ivor Novello The assertion that art created by artificial intelligence (AI) lacks the emotional depth of human-created art is a common perspective and part of ongoing debates about the role of AI in creative endeavours. Here are some points to consider: Emotional Depth in Human Art:  Human-created art often reflects the artist’s emotions, experiences, and personal interpretation of the world. The emotional depth in traditional art is tied to the artist’s subjective perspective, cultural background, and unique sensibilities. AI as a Tool:  AI, including machine learning algorithms used in art generation, lacks personal experiences, emotions, and consciousness. It operates based on patterns and data provided during training. As of now, AI is a tool that processes information and generates outputs but does not yet possess subjective experiences or emotions. Expression vs. Replication: Some argue that AI-generated art may replicate patterns and ...

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BCS Technology and Jaseci Labs commence pioneering journey to setup Sri Lanka’s first Centre of AI and Incubation Lab BCS Technology and Jaseci Labs has taken the first steps in transforming Artificial Intelligence (AI) education in Sri Lanka by setting up the country’s very first Centre of AI and Incubation Lab in collaboration with world-renowned inventor, scientist, professor, entrepreneur, and author Professor Jason Mars of the University of Michigan. Headquartered in Australia and with over 20 years of experience, BCS Technology is a leading IT consulting firm and preferred technology partner for high profile clients worldwide. With a workforce of over 50 employees in Sri Lanka and over 400 globally, the company delivers value to organisations by providing business solutions that leverage next-generation technologies including AI, Cloud, Blockchain, and Analytics. Its expertise enables these clients to run mission-critical systems with the latest technology innovations to achieve better business outcomes. Its ...

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Have AI models enhanced uses in conversational marketing? – By Aditya Abeysinghe What is conversational marketing? Conversational marketing is marketing with the use of one-to-one voice or virtual conversation with customers. This type of marketing is one of the easiest and less time consuming methods where live and virtual agents contact prospective customers to market services and products. Most businesses now have changed their conversational marketing to virtual methods. With virtual methods, a data source is used and a bot is used to communicate and share data with a customer.  Virtual conversational marketing Virtual conversational marketing is the most common type of conversational marketing used by online marketing platforms. Many methods are used to market products to customers. Chatbot-based conversations are mostly used by many platforms. With this method, a customer submits a question and the chatbot responds the customer with an answer based on data from a data source. ...

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Exploring the World of Artificial Intelligence: What it is, Examples, and the Future – By Bhanuka – eLanka Artificial intelligence (AI) is a rapidly evolving field that involves the development of computer systems that can perform tasks that normally require human intelligence, such as learning, decision-making, and problem-solving. The ultimate goal of AI research is to create machines that can think and act like humans, or even surpass human intelligence in certain areas. There are many examples of AI being used in various industries and applications. In healthcare, AI is being used to analyze medical images, such as X-rays and MRIs, to identify abnormalities and assist with diagnosis. It is also being used to analyze electronic health records to identify patterns and predict patient outcomes. In finance, AI is being used to analyze financial data and make investment decisions, as well as to detect and prevent fraudulent activity. In transportation, ...

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Is AI enhancing optimization of data-based processes in businesses? – By Aditya Abeysinghe Optimization of business processes Process optimization is the method of adjusting functionalities of a process to enhance it by minimizing issues, increasing efficiency, and reducing latency. This is performed by analyzing process functions and then detecting issues. In data-driven process analysis, a parameter is usually tuned while keeping other parameters unchanged. Businesses use various data-based platforms to provide services. Virtual methods including websites and live methods including live customer support are used to provide such services. Most of these data-based processes have connections to other processes. Therefore, to efficiently provide business process optimization each process and processes that are connected should be changed to improve a service’s performance. Issues of process optimization When processes are connected the total time to complete a process is higher when some or all the processes are performed manually. Manual process optimization ...

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Self-service changes with agents in service support By Aditya Abeysinghe Self-service agents Self-service is use of a service without using human-based services. To use a service without humans, businesses usually create a component, an agent, such that users could obtain a service of a business. These components are coupled to a system where data from users are communicated with the system using a user interface. These agents usually use Artificial Intelligence (AI) to autonomously handle tasks. Therefore, in customer-oriented businesses most services are now provided using agents with the use of a simple user interface. Advantages of self-service agents A common use of self-service is to reduce queue time in customer service. Usually, customers have to wait until their service is provided. Customers who need quick service support may not wait for long waiting queues and they may use support from other service providers. With self-service agents, customers could service ...

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Rise of image generation methods in AI – By Aditya Abeysinghe Image-to-image translation Image-to-image translation is the method of transforming an image from one domain to another domain. Image-to-image translation is usually done using deep learning models such as generative adversarial networks. Models used for this method are trained with image pairs, i.e. the input and the output image. Some complex models may even use more advanced methods. Image translation is used in several applications such as for converting color model of an image such as between RGB (Red, Green, Blue) and other color schemes, for converting from one form to other forms such as an image of a summer background to an image of a winter background etc. Image creation using text Text-to-image generation is another method that is used for creating an image. In this method, a diffusion Artificial Intelligence (AI) model translates text to images. The model ...

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Changing cybersecurity use with AI models  – By Aditya Abeysinghe   Use of AI and Machine learning There are many uses of Artificial Intelligence (AI) and machine learning (ML) in cybersecurity. The advantage of using AI and ML for cybersecurity is that AI and ML models can learn and then identify attacks which are known and/or unknown in a system. Models which are based on AI and ML can identify anomalies when there is a change of usual traffic. In classification, content is classified as attacks based on the output of a model. Benefits of AI models to identify attacks AI models can be used to automate detection of attacks more effectively than by using other methods. AI models are used to enhance anomaly identification or classifications in networks with less time than manual identification based on analysis. Unlike other attack classification and anomaly detection methods, methods that use AI ...

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AI in self-driving cars – By Aditya Abeysinghe What are self-driving cars? A self-driving car is a vehicle that can identify its environment using sensors and other cameras and depend on less human input to drive. These vehicles are also called autonomous vehicles, driverless cars and robotic cars. However, there is no production level car that is fully driverless. These cars have been extensively tested and some models are widely purchased in the commercial automobile markets. Levels of self-driving Society of Automation Engineers (SAE) has divided the level of automation in self-driving into six levels. The first three levels require the driver to view the environment. Level 0 is driving without self-driving and a human is required to handle all functions of a vehicle. However, a vehicle may display some system issues and automate engine level electronic functionality. In the next stage, level 1, the driver and the system share ...

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