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    How Businesses can Utilise Computer Vision Model Deployment to Upgrade their Customer Service

    The term computer vision (CV) is a relatively new kid on the block for businesses, but you should read on as it’s going to be important for many in the future.

    Artificial intelligence is becoming increasingly important for excellent customer service and with CV as a branch of AI, it will play a crucial role for businesses requiring assistance with training machines to understand the visual human world for better customer experiences.

    CV can help with optimizing operations and services, increasing safety and most importantly enhancing the customer journey. And which enterprise can afford to have unhappy customers?

    How can Businesses use Computer Vision Models?

    how-can-businesses-use-computer-vision-models

    Emerging business tasks like face recognition, object detection, segmentation, and classification can be handled with CV models for example. To manage and deploy this technology however is a job for specialists as it requires a lot of data, computing resources, and technical expertise.

    And that’s not all as ongoing monitoring and updating for the most reliable performance is required to keep the technology updated and as effective as possible. So, deploying a computer vision model isn’t a piece of cake and should be managed by experts like Picsellia for peace of mind.  You will see it’s a very worthy business investment.

    We’re going to clarify a bit of technical terminology here first before delving into the nitty gritty of CV models supporting customer service.

    So-called MLOps (machine learning operations) is a set of processes aiming to automate and streamline data collection, model development and testing, deployment, and monitoring. This is a crucial tool for faster, better, and more reliable CV solutions, which is needed for complex and customized pipelines that involve multiple processes and components.

    Say your business wants to develop a CV pipeline for performance monitoring. Multiple steps would be required for this from performance detection, segmentation, and processing to fully process and implement it, which is why managing this can be extremely time consuming, complicated and error prone.

    With the help of an effective MLOps platform, businesses can expect the following benefits for their customer services:

    Simplification and Orchestration

    MLOps platforms can simplify the creation and orchestration of CV pipelines with a graphical interface, or a code-based environment enabling users to define, connect, and run the pipeline components effectively.

    Collaboration and Sharing

    MLOps platforms can help to reuse and share CV models and components across different pipelines and projects, reducing duplication and improving collaboration.

    Scaling and Uplevelling

    MLOps platforms can facilitate the deployment and scaling of CV pipelines on various platforms and environments, such as cloud, edge, or hybrid.

    Monitoring and Managing

    MLOps platforms can offer tools for monitoring and managing CV pipelines, such as dashboards, logs, alerts, and metrics.

    Improving and Tailoring

    MLOps platforms can support the ongoing improvement of CV pipelines through experimentation, versioning, testing, and validation.

    All in all, CV deployments via MLOps platforms will rapidly transform any business service as these advantages clearly show.

    How Computer Vision Deployment improves the Customer Service Experience – Examples of different Industries

    how-can-computer-vision-deployment-improve-the-customer-experience

    The below examples of how this technology can help businesses improve their customer service will further clarify how significant it is.

    Manufacturing

    Quality and productivity matter most for the customers of manufacturers. Automating inspections and detecting faults or defects in the production with CV can help reduce manufacturing errors and faulty products. Smart factories using CV to adapt to changing conditions and customer needs can be ahead of their competition, satisfying their customer’s needs.

    Retail

    Personalisation plays a key role in making customers happy in the retail sector. CV can help businesses by providing personalized recommendations, virtual try-ons, and self-checkout options. Utilising CV can enable retailers to develop smart stores that can analyse customer behaviour and preferences and optimize store layout and merchandising as well as marketing.

    Healthcare

    From improving diagnosis and treatment by supporting the analysis of X-rays, scans, and ultrasound images to assisting surgeons with real-time guidance and feedback during an operation, CV promises many improvements for the patient experience and journey. Even after treatments are completed, CV can ensure to monitoring of patient health and well-being for a continuous positive patient experience.

    Final Thoughts

    Any business aiming to deliver the best and safest customer service will rely on AI and CV in the future. CV solutions will increasingly matter and business owners shouldn’t be under any illusion that they can manage this technology themselves without the expertise of specialists in the field.

    Investing in CV deployment to boost customer service will pay off significantly as it can be reused and repurposed as well as adapted to ensure that a business can continue to deliver the best and most tailored customer service. Happy customers mean good business.

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    James Flarakos
    James Flarakos
    Content writer and WordPress website developer. I also love to create content on YouTube and other social platforms as well as promotional and social marketing.
    James Flarakos
    James Flarakoshttps://www.jdogofficial.com
    Content writer and WordPress website developer. I also love to create content on YouTube and other social platforms as well as promotional and social marketing.
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