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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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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The changing nature of large scalable AI and ML models – By Aditya Abeysinghe Distributed AI Artificial Intelligence (AI) models are often costly to operate due to high Central Processing Unit (CPU) power required to process data. AI models also depend on additional constraints such as volatile memory, secondary memory and power. Most medium and large scale AI models are processed on cloud or remote data center servers which have high CPU power and memory compared to small scale processing devices due to these issues. However, sending data to a remote server is often not viable due to extra costs of data communication, costs of maintaining and monitoring servers in cloud and due to issues with privacy. Distributed AI is a method to distribute AI models outside a server to a location close to a data source. With distributed AI, AI models are deployed at either the source or at ...

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Smart AI: Is AI changing smart device usage? – By Aditya Abeysinghe     Smart devices are considered smart because they can automate their services. They often communicate using wireless media to provide required functions to users. A smart device can be any device that can process data; from microcontrollers to smart vehicles. Smart devices often lack storage and compute power to process most algorithms which use Artificial Intelligence (AI) methods. However, many algorithms which are used for AI have been optimized such that they can be used in these devices. Where is AI? AI models are used in processes for computation beyond usual application-based processes. Using AI models, different types of AI methods are used to process data. These models are usually lightweight algorithms which can be used within smart devices. Model training and testing are usually carried out on low memory and computation power such that they could ...

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AI Governance: Is controlling AI processes useful? By Aditya Abeysinghe   Deploying an AI system includes several processes from gathering data to build AI models to testing the system to be deployed. Most businesses which deploy AI systems require a set of policies at each process of this deployment. These policies include which approach to be used, which tools and methods to be used etc. These set of processes, called AI Governance, is used to define how an AI system needs to be deployed while enhancing management of risk, cost, and scope. What is required to achieve AI governance? AI governance of an AI system is regulated by the organizational structure which monitors AI processes from data collection to deployment. The structure may differ from the size of the system, number of teams involved, and the cost and time of completing the AI system. Usually, the structure has members with ...

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How AI is changing producer to buyer bond: AI Marketing By Aditya Abeysinghe Marketing was used to reach out buyers from early days of distribution, manufacturing and selling of goods and services. With electronic marketing, new ways of establishing marketing links with consumers are used. Today, from social media marketing to automated marketing, tech is used for many activities. With use of tech, a new issue is the massive data volume that is generated due to multi-channel marketing strategies used by sellers. Use of Artificial Intelligence (AI) in marketing has been a new solution to solve this concern. Where is AI used Big data and social media are two terms that were introduced in the past few years. Analyzing big data to efficiently make decisions has been an issue with the use of multiple social media methods and mass marketing. Often software which can bring insights to marketers to identify ...

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