APAC CIO Outlook
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Agile

    Artificial Intelligence

    Aviation

    Bi and Analytics

    Big Data

    Blockchain

    Cloud

    Cyber Security

    Digital Infrastructure

    Digital Marketing

    Digital Transformation

    Digital Twin

    Drone

    Internet of Things

    Low Code No Code

    Networking

    Remote Work

    Singapore Startups

    Smart City

    Software Testing

    Startup

  • E-Commerce

    Education

    FinTech

    Healthcare

    Manufacturing

    Retail

    Travel and Hospitality

  • Dell

    Microsoft

    Salesforce

    SAP

  • Cognitive

    Compliance

    Contact Center

    Corporate Finance

    Data Center

    Data Integration

    Digital Asset Management

    Gamification

    HR Technology

    IT Service Management

    Managed Services

    Procurement

    RegTech

    Travel Retail

Menu
    • AI
    • Managed Services
    • Blockchain
    • CRM
    • Software Testing
    • E-Commerce
    • Cyber Security
    • Gamification
    • Microsoft
    • Data Integration
    • Low Code No Code
    • MORE
    #

    Apac CIO Outlook 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 CIO Outlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • Artificial Intelligence
    Editor's Pick (1 - 4 of 8)
    left
    The Right Technology And Reliable Partners; The Business Next Frontier

    Luke O'Brien, CIO, ISS Facility Services Australia & New Zealand

    Conquering Technological Transformation

    David Kennedy, Group CIO, Transaction Services Group

    How to Get to AI-first

    Ani Paul, CIO, ING Australia

    Legal Knowledge Management and the Rise of Artificial Intelligence

    Christopher Zegers, CIO, Lowenstein Sandler LLP

    Building an AI-Based Machine Learning for Global Economics

    Alexander Fleiss, CIO & CEO, Rebellion Research Partners LP

    A dose of our own medicine

    SABINA JANSTROM, IT DIRECTOR, DYNO NOBEL

    Insider Threat

    AI is America's best weapon for disrupting health inequities

    Michael Dowling, President & Ceo, Northwell Health and Tom Manning, Chairman, Ascertain

    right

    AI: Accelerating Decision-Making

    Nigel Duffy, CTO, Sentient Technologies

    Tweet
    content-image

    Nigel Duffy, CTO, Sentient Technologies

    The key to victory is to make more appropriate decisions more quickly than one’s opponents. This critical insight, developed by U.S. Air Force Colonel John Boyd, is embodied in his OODA Loop concept. The principle applies as much to business as it does to combat.

    The OODA Loop is an iterative model for decision-making consisting of 4 phases: observation, orientation, decision-making, and action. Importantly, it is a loop whereby the outcomes of actions may be observed and influence subsequent decision-making. In particular, poor decisions may be cancelled or updated, as can decisions rendered inappropriate by a changing environment. As one accelerates this process, the effect of poor decisions is minimized and the ability to adapt is maximized.

    Colonel Boyd conceived of the OODA Loop when analyzing dogfights for the Pentagon. He observed that speed through the loop was more important to success than the quality of individual decisions. Time is the dominant parameter. The pilot who goes through the OODA cycle in the shortest time prevails because his opponent is caught responding to situations that have already changed. Boyd’s observation is just as critical in business as in combat, and informs lean product development and agile software development.

    Data science, on the other hand, has focused on extracting insights and enabling more informed decision-making. It is largely deployed in the context of multi-week, or multi-month decision-making processes. It has not focused on speed, which is understandable given the previous state of the ecosystem. Artificial intelligence (AI) is changing this. At Sentient, we believe that the key role of AI, at least in the near-term, is to bridge the gap between data and decisions, thus accelerating the OODA Loop.

    Let us contrast two types of data science projects.

    In the first, the data science team is tasked with developing insights or validating hypotheses around a business goal. For example, they might be asked to segment online customers so that marketing can craft specific messages for each of those customer segments. Alternatively, they might be tasked with predicting future demand in order to allocate resources in a transportation network. In both of these cases, the data scientists will analyze large quantities of data, which might take weeks or months, to develop a report. This report will be distilled into a set of slides and then presented to the key stakeholders who make the actual decision. Petabytes of data become a handful of bullets on PowerPoint slides to guide decisions that will ultimately be made by a human being.

    In such cases, data science is being used to make better, more informed decisions but does not provide speed. These cases are problematic for a number of reasons. It is hard to measure the value of the data science contribution.

    Placing AI at the heart of your business’ workflow becomes an imperative

    It is even difficult to measure the impact of the data on the decision. As a result, it is hard to improve that decision-making process over time.

    The second type of data science project is different. These projects involve the development and deployment of systems that make decisions in an ongoing fashion. Examples of such projects include systems that filter spam, make recommendations, or detect fraud. These systems tighten the linkage between data and decision. Because they are fully automated, they can operate quickly, enabling capabilities that could not exist with a human in the loop. They can adapt rapidly to changing environments. Their impact and value are directly measureable. Finally, their behavior can be understood and improved, perhaps automatically. These are OODA Loop systems.

    This second type of project fits precisely into the domain of artificial intelligence. What would happen if we built artificial intelligence systems to follow the OODA Loop? Could we make more intelligent systems that make even faster more accurate decisions?

    Of course, the challenges with building these systems (and self-improving systems in particular) are the burdens of development, deployment, and maintenance. We believe that the goal of AI in the near term should be to develop general-purpose tools that ameliorate these challenges and expand the scope of such systems beyond the purely digital domain. Achieving this goal will revolutionize business by making such systems ubiquitous in disciplines as diverse as customer service, logistics, maintenance, human resources, resource planning, and marketing.

    Recent advances in AI suggest that we are on the cusp of such a revolution. Deep learning has had particular success in the “observe” part of the OODA Loop. Recent advances are yielding remarkable understanding of images, video, audio, speech, and text, all of which are perceptual tasks. Great progress is being made in decision-making using technologies like evolutionary computation (EC) and Bayesian optimization. Meanwhile, we are seeing slower progress with regard to reasoning or “orientation”. However, we are not yet fully exploiting many advances in large-scale graphical models, which present new opportunities in the context of the OODA Loop.

    These capabilities are being deployed today. Online fashion retailers are using deep learning and the OODA Loop to improve their customers’ ability to find and engage with products. Evolutionary computation is finding applications as diverse as automated stock trading, to job-shop scheduling, and circuit design.

    Particularly compelling are the developments in real-time black-box optimization. Black-box optimization is an ideal approach to the problem of achieving an optimal outcome under uncertainty—where one must both make good decisions and learn how to make good decisions at the same time. By iterating and learning quickly, the quality of such decisions becomes better and better. Consider, for example, designing the optimal website. There is tremendous uncertainty about what content, layout and design will yield the highest conversion. However, by quickly and iteratively performing well-chosen experiments one may learn what makes good content, layout, and design. The real-time nature of these black-box optimization systems means that they can be used interactively—e.g., in a dialog. Suppose, for example, you need to elicit information from one of your customers. You would iteratively and interactively ask that individual questions until you found the answer you are looking for. This may be framed as a black-box optimization problem. Recent advances in EC are making such systems a reality.

    By combining these components—deep learning, EC and others—the day is approaching where the development, deployment, and maintenance of OODA systems will become an essential component of every successful enterprise.

    So consider the impact of AI on your business. This is not about data anymore; it is about intelligence. We used to think of AI as being a data-mining proposition—the more data the better the outcome. This is increasingly a thing of the past; as AI gets smarter, it becomes more like us, able to make complex decisions based on context and limited evidence. Placing AI at the heart of your business’ workflow becomes an imperative. It is an essential tool if you want to keep your business relevant. AI will help you learn quickly, adapt fast, and stay ahead of your competition.

    tag

    spam

    Fraud

    Weekly Brief

    loading

    Featured Vendor

    • Stemly: Decision Intelligence for a Sustainable Modern and Integrated Supply Chain
      Stemly: Decision Intelligence for a Sustainable Modern and Integrated Supply Chain
    • Language Weaver: Connecting Globally by Breaking Language Barriers
      Language Weaver: Connecting Globally by Breaking Language Barriers
    • CM.com: Taking Conversational Commerce to New Heights
      CM.com: Taking Conversational Commerce to New Heights
    Top 10 AI Powered Solution Companies - 2021
    ON THE DECK

    AI 2021

    Top Vendors

    AI 2020

    Top Vendors

    AI 2019

    Top Vendors

    AI 2018

    Top Vendors

    AI 2017

    Top Vendors

    Previous Next

    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

    A dose of our own medicine

    A dose of our own medicine

    SABINA JANSTROM, IT DIRECTOR, DYNO NOBEL
    Insider Threat

    Insider Threat

    AI is America's best weapon for disrupting health inequities

    AI is America's best weapon for disrupting health inequities

    Michael Dowling, President & Ceo, Northwell Health and Tom Manning, Chairman, Ascertain
    Combating IoT Challenges with Smart Choices

    Combating IoT Challenges with Smart Choices

    Sandeep Babbar, Head Of Technology Innovation, Gwa Group Limited
    Artificial Intelligence regulations and its impact on medical devices

    Artificial Intelligence regulations and its impact on medical devices

    Leo Hovestadt, Director Quality Assurance Elekta
    Blockchain: promises to revolutionise superapps and the trust factor in insurance

    Blockchain: promises to revolutionise superapps and the trust factor in insurance

    Sue Coulter, Head of Group Digital, AIA Group Julian Lo, Director of Digital Engineering, AIA Group
    Data as a Business

    Data as a Business

    Ricardo Leite Raposo, Director of Data & Analytics at B3
    How Digital Transformation Impacts Big Data Analytics

    How Digital Transformation Impacts Big Data Analytics

    Davide Di Blasi, Global Quality and Lean Director , Hilding Anders International
    Loading...

    Copyright © 2023 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 

    |  Sitemap |  Subscribe |   About us

    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://artificial-intelligence.apacciooutlook.com/cxoinsights/ai-accelerating-decisionmaking-nwid-4412.html