APAC CIOOutlook

Advertise

with us

  • Technologies
      • Artificial Intelligence
      • Big Data
      • Blockchain
      • Cloud
      • Digital Transformation
      • Internet of Things
      • Low Code No Code
      • MarTech
      • Mobile Application
      • Security
      • Software Testing
      • Wireless
  • Industries
      • E-Commerce
      • Education
      • Logistics
      • Retail
      • Supply Chain
      • Travel and Hospitality
  • Platforms
      • Microsoft
      • Salesforce
      • SAP
  • Solutions
      • Business Intelligence
      • Cognitive
      • Contact Center
      • CRM
      • Cyber Security
      • Data Center
      • Gamification
      • Procurement
      • Smart City
      • Workflow
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Artificial Intelligence

    Big Data

    Blockchain

    Cloud

    Digital Transformation

    Internet of Things

    Low Code No Code

    MarTech

    Mobile Application

    Security

    Software Testing

    Wireless

  • E-Commerce

    Education

    Logistics

    Retail

    Supply Chain

    Travel and Hospitality

  • Microsoft

    Salesforce

    SAP

  • Business Intelligence

    Cognitive

    Contact Center

    CRM

    Cyber Security

    Data Center

    Gamification

    Procurement

    Smart City

    Workflow

Menu
    • Microsoft
    • Cyber Security
    • Hotel Management
    • Workflow
    • E-Commerce
    • Business Intelligence
    • MORE
    #

    Apac CIOOutlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • Microsoft
    Editor's Pick (1 - 4 of 8)
    left
    Thai Union-Building a Sustainable Business with Digital Enablers

    Rajiv Kakar, Group CIO, Thai Union Group PCL.

    Building Strategic Partnerships for Success

    Francoise Russo, Chief Information Officer, Tabcorp

    Automating the Engineering Journey with the Cloud

    Wouter Meijs, CIO (EVP), Member of the Executive Committee, Ing Turkiye[AMS: INGA]

    'Seven PS' to help businesses drive digital transformation

    Carmen Casagranda, CIO Emerging Markets, Manulife Asia

    Choosing Microsoft Dynamics 365

    Andrew Ho, CIO, Global Strategy Group

    Kaizala: Chat Up Your Productivity!

    Anup Purohit, CIO, YES BANK

    Technology is Driving Better Care in the Healthcare Sector

    Veneeth Purushotaman, CIO, Fortis Healthcare

    Successfully Navigating, the Complex State of Network Monitoring

    Robert Walden, CIO, Epsilon

    right

    To Harness AI, Understand Its Purpose for Your Organisation

    Philipp Gschöpf, Associate Director, Artificial Intelligence Coe, Aia

    Tweet
    content-image

    Philipp Gschöpf, Associate Director, Artificial Intelligence Coe, Aia

    Do not let the artificial intelligence (AI) hype limit the technology’s potential for your organization.

    With the emergence of effective and accessible AI-powered tools, organizations will be eager to implement AI to accelerate their work processes. Free AI applications - such as ChatGPT – have proven the technology’s ability to produce quality essays and code with a simple prompt.

    Using AI can be an exciting journey for an organization but using AI as a solution without understanding the “why” can lead to mixed results. There are cases of AI projects by large organizations displaying discriminative and inaccurate business outputs, which have incurred excessive costs.

    The insurance industry provides a useful case study to understand how asking “why” can maximize the technology’s potential. The industry’s products involve many complex users’ needs and processes. These learnings can be applied to other sectors such as healthcare or finance.

    Maximizing AI’s full potential calls for a purpose-driven approach by using technology as a tool to address organizational needs. For organizations keen to maximize AI’s impact, there are four ways to avoid falling into the traps of poor AI delivery.

    Scaling Based on User Needs

    Without understanding an organization’s needs, innovative AI applications may not scale to meet requirements.

    Creating a new AI capability from the ground up can be daunting, but this is addressed by first discovering the right requirements and use cases.

    Conducting user research is the first step to understanding customer needs and developing a clear use case for AI. In insurance, it is common that customers to struggle with anxiety in the process of claiming large monetary amounts during periods of ill health, which calls for the use case to accelerate such processes. In some Asian markets, AI has enabled customers to receive eligible claims payments in their bank accounts within 3- 20 minutes of making a claim.

    After developing the right requirements with consultation from partners and stakeholders, finding the right solution providers is next. AI research partners, with sizable research hubs, can help AI-powered services be built and delivered smoothly.

    Making an Impact

    Using AI in every solution can be tempting, but organizations must be intentional to avoid having many initiatives with minimal impact.

    An agile approach can help organizations avoid this. An agile start-up methodology ensures that teams can prioritize core features and milestone achievements based on qualified customer learnings instead of random AI learning speeds. Through data analytics and a test-and-learn approach, organizations can have the insights to identify impactful features with user demand and high feasibility. This can be observed in the scale-up of Xiao Bang, which is an AI-powered virtual assistant launched by AIA and Xiao-I, which provides personalized customer call reminders in China.

    Building Products Rapidly

    The industry’s speed and evolving customer needs mean that AI solutions must be built fast. Specific organizational practices can help to accelerate the product life cycle.

    Collaboration hackathons are one way to develop complex projects quickly. In these hackathons, competing solution provider teams can be co-staffed with internal go-live relevant personnel, and led by customer experts to build a winning solution quickly.

    A modular approach, such as the “70 – 20 – 10” rule, can help. This rule dictates that 70 percent of a solution is deemed reusable once a solution is live in two markets. 20 percent of the solution can then be scaled with minor adjustments, with the remaining 10 percent re-built to tailor to markets.

    Driving Adoption and Trust

    An AI solution can exist but have low adoption, due to concerns about trust and inaccuracy.

    Fortunately, there is a dramatic shift in AI’s application to high-error-cost use cases, as risk-mitigation techniques become increasingly widespread in the AI creator community. This can mitigate the risk of errors in the insurance value chain, which can lead to high costs.

    There Is A Need For Frameworks And Policies To Build User Trust Around The Organization, Instead Of The Technology

    There is a need for frameworks and policies to build user trust around the organization, instead of the technology. These policies should see irresponsible AI use as a cost to organizations, with the promise that every AI built is suitable, transparent, and can have its outcomes clearly explained.

    If done correctly, these standards can be the way for organizations to drive a meaningful conversation on AI in markets that do not have published regulations. Standards are also a great way to encourage more debate during AI creation and enhance customer focus.

    Using AI, the Right Way

    Organizations must place their purpose and needs first to avoid falling into the traps of AI delivery.

    For example, AIA’s approach is to have “Artificial Intelligence at the heart.” Guided by this principle, AIA believes that organizations should ensure AI goes beyond being an end solution, but rather a way to meet the needs of customers and society at large. This principle has served AIA in effectively and ethically implementing our AI-powered claims processes and Xiao Bang products, enabling new customer experiences for our 32 million policyholders.

    If organizations want to spread the benefits of AI, the purpose must be at the heart of their AI journeys.

    tag

    virtual assistant

    Weekly Brief

    loading
    Top 10 Microsoft  Solutions Companies  - 2023
    Top 10 Microsoft Azure Solutions Companies – 2023
    ON THE DECK

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Read Also

    Loading...
    Copyright © 2025 APAC CIOOutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    Home |  CXO Insights |   Whitepapers |   Subscribe |   Conferences |   Sitemaps |   About us |   Advertise with us |   Editorial Policy |   Feedback Policy |  

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://microsoft.apacciooutlook.com/views/to-harness-ai-understand-its-purpose-for-your-organisation-nwid-9503.html