Artificial Intelligence in Business

Artificial Intelligence in Business

Naveen Joshi 06/07/2018 5
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Due to its deep learning and independent decision-making capabilities, artificial intelligence (AI) is expanding in different business areas.

The concept of artificial intelligence or machines that aim to emulate human thinking is undergoing vigorous research and is a topic that is increasingly being associated with the Internet of things. An AI enabled IoT system extends the functionality and value of an organization’s offering, without the need for committing additional resources to achieve the increased value. This is exemplified by Under Armour(UA) and IBM’s collaboration on the UA Record app, which is an AI-based personal fitness coaching system, that uses a variety of sensor data to suggest highly personalized, context-relevant fitness activities to users. Such applications of AI are going to be more commonplace in the future as they are already having a significant impact on many industries. Here are 5 applications of artificial intelligence that you can implement in different business areas.


Customer Engagement 

As businesses, especially in the service sector industries, evolve from the basic transactional model of customer interaction to a more continuous engagement sequence, the role of IoT and artificial intelligence is rapidly gaining importance. For example, the use of digital concierge and virtual assistants is being discussed in the hospitality industry to automate, personalize and streamline interactions between guests and the service delivery system. The trial deployment of an AI assistant at the Munich airport that helps visitors with directions is an example that forebodes the use of AI in similar cases and for broader purposes in the future. Improved engagement can also be extended to employees by using virtual employee assistants to ensure continued connectivity and simplified task execution.

Predictive Analytics

Growing applications of IoT in enterprises has entailed a corresponding increase in the data being generated by the installed systems. This data, continuously collected through the myriad of sensors used in the system, can be used in machine learning models that can be used to make highly informed decisions. The enormity of data volume can be easily managed using AI based data management tools and then be used to derive insights that impact more than just the operational performance. For example, in a healthcare institution, continuous diagnostic analysis is performed to track operational parameters such as the availability of personnel, machines, drugs and other resources; the utilization of different functional units; and the number and types of cases being admitted; to improve responsiveness to changing conditions. AI can be used to perform predictive analysis to ensure preparedness of the facility to respond to different situations and can also be used to provide prescriptive long-term solutions to repetitive issues.

Security Systems

IoT sensors that scan biometric information to authenticate the identity are already being used by numerous business and government organizations. Combining IoT and AI can make biometric scanning even more effective and secure by including the recognition of facial features and voice. CCTV cameras used today require a pair of human eyes to monitor the live footage and identify potential threats or to find clues after an incident. AI infused security camera networks enable scanning of multiple parameters including movements and high risk objects, and automatically raise alarm when a potentially suspicious event occurs. Use of AI surveillance systems like Ella, which finds and distinguishes video footage elements for easy identification of suspicious or missing items, is one way AI can be used for enhanced security.

Process Automation

Manufacturing automation has been one of the earliest areas of application of robotics and artificial intelligence. A manufacturing process operated by an AI control system, that is linked to sources of different kinds of data, from the demand in market to the availability of parts from vendors; can function with maximum efficiency, as the process can be regulated through real-time analysis of data. Even service organizations such as restaurants can automate processes by using automated kitchen robots for cooking that emulates human chefs.

Artificial Creativity

Artificial creativity is the concept of using algorithms that allow machines to produce content that is random yet desirable for human perception. Multiple online services that provide AI compositions to inspire or completely create new content are already available, and are indicative of a future where an increasing portion of creative content will be inspired or created by AI technology. The focus of AI implementation at present must be to minimize human involvement in the routine and non-creative tasks, so that human effort can be directed towards innovation and planning, where AI can be used for guidance. Following the lead of industry leaders, organizations aiming for sustained relevance should prepare for the use of AI based technology, embedded in an IoT foundation.

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  • Douglas Stewart

    Artificial Intelligence has dramatically improved the way businesses communicate with consumers.

  • Eric Smith

    There is still a lot of work to be done if we want AI to reach its full potential. It still needs to be able to adapt its behaviour based on experience.

  • Robert Lovatt

    Employing artificial intelligence offers enterprises the opportunity to give customers more options at every point of interaction.

  • Steve McEwan

    AI will free up business leaders' time to pursue more strategic activities.

  • Chris Bramley

    As the technology develops, we will see it improve and personalise the end-user experience.

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Naveen Joshi

Tech Guru

Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.

   

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