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    AI’s Impact on Philippines, the Call Center Capital of the World

    AI’s Impact on Philippines, the Call Center Capital of the World

    Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

    Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

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    Ambient AI: A Game-Changer in Healthcare

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    Recall: A Controversial AI Feature for Windows on ARM

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    Fine-Tuning GPT-4o: Customization with OpenAI’s New Feature

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    Anthropic Faces Copyright Lawsuit Over Claude AI Training

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    AI Model Collapse: Can AI Work Without Humans?

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    30% of GenAI projects will be abandoned: Gartner

    FLUX.1: A New Open-Source AI Image Generator

    FLUX.1: A New Open-Source AI Image Generator

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    AI in Consulting: A BCG Case Study by Forbes

    AI in Consulting: A BCG Case Study by Forbes

    Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

    Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

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    Santander Consumer Bank Leverages Robotic Process Automation (RPA) to Save $2M on Systems Migration

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    Robotic Process Automation (RPA) Empowers R1 RCM to Successfully Automate More Than 15M Tasks

    Dai-ichi Life Insurance Reports that They Saved Over 132000 Hours with Robotic Process Automation (RPA)

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      AI’s Impact on Philippines, the Call Center Capital of the World

      AI’s Impact on Philippines, the Call Center Capital of the World

      Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

      Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

      Ambient AI: A Game-Changer in Healthcare

      Ambient AI: A Game-Changer in Healthcare

      Recall: A Controversial AI Feature for Windows on ARM

      Recall: A Controversial AI Feature for Windows on ARM

      Fine-Tuning GPT-4o: Customization with OpenAI’s New Feature

      Fine-Tuning GPT-4o: Customization with OpenAI’s New Feature

      Anthropic Faces Copyright Lawsuit Over Claude AI Training

      Anthropic Faces Copyright Lawsuit Over Claude AI Training

      AI Model Collapse: Can AI Work Without Humans?

      AI Model Collapse: Can AI Work Without Humans?

      30% of GenAI projects will be abandoned: Gartner

      30% of GenAI projects will be abandoned: Gartner

      FLUX.1: A New Open-Source AI Image Generator

      FLUX.1: A New Open-Source AI Image Generator

    • Case Studies
      AI in Consulting: A BCG Case Study by Forbes

      AI in Consulting: A BCG Case Study by Forbes

      Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

      Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

      Santander Consumer Bank Leverages Robotic Process Automation (RPA) to Save $2M on Systems Migration

      Santander Consumer Bank Leverages Robotic Process Automation (RPA) to Save $2M on Systems Migration

      Robotic Process Automation (RPA) Empowers R1 RCM to Successfully Automate More Than 15M Tasks

      Robotic Process Automation (RPA) Empowers R1 RCM to Successfully Automate More Than 15M Tasks

      Dai-ichi Life Insurance Reports that They Saved Over 132000 Hours with Robotic Process Automation (RPA)

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      Forrester predicts automation trends for 2023

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      Forrester predicts automation trends for 2023

      Forrester predicts that automation will occupy the backseat while businesses focus on their fundamental business ideas. Automation has indeed proven to have many benefits. Regardless of the product or the industry a company operates in, automation can find room for increasing process efficiency. But Forrester expects that current socioeconomic factors inherent to automation might do businesses to take a step back. A step back sounds like a more logical strategy, given the uncertainty.

      Tapping the brakes on transformation to concentrate on key business drivers will give them the confidence to bounce back. Nevertheless, automation will continue to reward those who invest in digital transformation, mainly if competitors focus elsewhere. Those who adjust to 2023’s circumstances while stepping up their use of automation will achieve a competitive advantage. The analysts at Forrester detail the automation trends they predicted for 2023.

      Forrester predicts that – Automation utilizing data will be popular

      Most automation deals with static procedures, but data insights are altering that. Analyzing and deriving insights from unstructured data to improve business, especially customer service, can drive efficiency in surprising areas. Automating old processes is surely a step toward progress, but companies should also look into building processes from the beginning. Especially using data to empower the process will ensure increased efficiency and accuracy achieved with increased speed.

      Data stored in emails, websites, social media, and images can be invaluable to driving business decisions. Choosing to implement automation does add a particular advantage to a business. But more effort to bring customer data into the equation empowers firms to utilize the information thoroughly.

      One-third of businesses will emphasize data-driven automation, with IoT data events or ML application state changes driving the transformation of next-generation business processes. Process automation industry repercussions are being felt as a result of this understanding.

      Lack of skilled workers will impede automation growth

      There will be slower development of new automation support in 2023. The primary issue is the lack of necessary abilities. These issues include a longer learning curve for business developers. Mastering low-code development tools and skill shortfalls for expert developers across the AI spectrum will require more time. A lack of qualified analysts and project managers for automation initiatives also contributes to necessary automation growth. Although there will always be a skills gap, 2023 will be particularly challenging.

      To enable federated development, 25% of automation CoEs will restructure

      In 2019, Centers of Excellence (CoEs) became more popular, especially with the rise of robotic process automation and intelligent automation. A centralized perspective made expanding automations, sharing and growing expertise, and managing deployments easier. But times change, and starting around 2023, most CoEs will transfer execution duties to main business lines. The more strategic functions, like security assessment, automation architecture, and guardrail governance, will continue to be handled by automation COEs. This change will be driven by advancements in low-code software and the need to federate to expand.

      Forrester further emphasizes the shortage of skills by mentioning that we might interact with more robots in the near future. Due to lacking human labor, businesses hire robot workers to run their operations. It is not surprising that physical robotics is growing. Collaborative robots, Autonomous mobile robots, robot security guards, and inspection drones will all be beneficial. Foodservice, cleaning services, commercial and residential deliveries, healthcare, and manufacturing industries can implement more robots to perform more tasks.

      Tags: AutomationAutomation TrendsCoEForrester

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