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

    AI Healthcare

    Artificial Intelligence

    Aviation

    Bi and Analytics

    Big Data

    Cloud

    Cyber Security

    Digital Infrastructure

    Digital Marketing

    Digital Transformation

    Digital Twin

    Drone

    Internet of Things

    Low Code No Code

    Networking

    Remote Work

    Smart City

    Startup

    Unified Communication

    Wireless

  • E-Commerce

    Education

    FinTech

    Healthcare

    Manufacturing

    Pharma and Life Science

    Retail

    Travel and Hospitality

  • Dell

    IBM

    Microsoft

    Salesforce

    SAP

  • Cognitive

    Compliance

    Contact Center

    Corporate Finance

    Data Center

    Data Integration

    Digital Asset Management

    Full Stack Development

    HR Technology

    IT Service Management

    Managed Services

    Procurement

    Proptech

    RegTech

Menu
    • AI
    • Compliance
    • IBM
    • Big Data
    • Unified Communication
    • Digital Infrastructure
    • Data Center
    • Salesforce
    • 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

    Doing Analytics vs Scaling Analytics

    Ram Thilak, Global Head of Data Science and Analytics, Inchcape PLC

    The City of the Future Is Connected, Resilient, and Sustainable

    Chew Men Leong, President/Head, Urban Solutions, ST Engineering

    Changing the tester DNA -From tester to Software Development Engineer in Test (SDET)

    Bernd Bornhausen, Senior Manager QA, TD Insurance [NYSE: TD]

    right

    Recent Trends in AI and their Use in Organizations

    Prince Joseph Erneszer Javier, Data Scientist, Mynt

    Tweet
    content-image

    Prince Joseph Erneszer Javier, Data Scientist, Mynt

    Artificial intelligence (AI) is the ability of computers or machines to mimic aspects of human intelligence.

    Recent advances in AI, such as machine learning, deep learning, cloud computing, edge computing, and

    AI chips have been impacting businesses and government organizations.

    Machine learning enables computers to predict by learning patterns in data. Instead of explicitly coding hard rules or if-else statements, an algorithm will be trained by being shown many examples. Deep learning, a powerful kind of machine learning that is inspired by the human brain is gaining traction due to more data generated and faster computers. Deep learning is the algorithm behind self-driving cars, Dota-playing OpenAI, Jeopardy-playing IBM Watson, and Youtube’s auto-captions.

    One project I and my colleagues have implemented for an energy company in the Philippines is a deep learning model that predicts future hourly power demand from variables such as historical demand, weather, and holidays. The model uses a Long Short-Term Memory Neural Network (LSTM) architecture that is inspired by the brain’s memory system. It has the capacity to remember important long-term information and forget unnecessary information. It improved prediction accuracy over previous models used by the company such as ARIMA reducing error from 5% to 3%.
    More accurate predictions can guide power generators to better optimize their power plant operations to reduce operating costs.

    Governments are realizing the value of AI as well. The Philippine Central Bank is developing an AI chatbot that can enhance customer experience by automatically addressing customer issues through SMS or social media chat. Meanwhile, the country’s Department of Science and Technology uses AI to automatically count the number of mango trees from satellite images thus automating tree auditing.

    As models become more complex and more data are generated, AI training becomes more computation-intensive. With limited access to local hardware, organizations can opt to rent computing capacity from cloud computing services like Amazon Web Service, Google Cloud Platform, Microsoft Azure, and IBM Watson. Servers located around the globe can now be accessed through the internet. Just like using electricity or tap water, cloud computing is paid on-demand and scalable. With cloud computing, prototypes can be first coded and trained on a 4 core server before scaling up to a larger dataset using a 72 core server and beyond.

    AI chips are also gaining traction. These are chips whose architectures are optimized to run AI models especially deep learning. Because AI chips are capable of quickly running models, they can be deployed on the “edge” or near the sensors. Edge computing, the process of running models in AI chips much closer to the sensors, reduces the delay from input to the response. Quick responses are crucial in certain instances such as autonomous vehicles and worker safety. One company, Horizon Robotics in China, develops AI chips that have been used in real-time object recognition for CCTV cameras to tag construction workers who are not wearing proper protective equipment.

    More data are being generated while computer hardware and AI algorithms continue to improve. Cloud computing makes computation accessible while edge computing expands the use cases of AI. With these technological trends and increasing awareness in the value of AI, we can only expect more organizations to soon adopt AI.

    tag

    Cloud Computing

    Machine Learning

    Customer Experience

    Weekly Brief

    loading
    Top 10 AI Powered Solution Companies - 2021

    Featured Vendors

    Silverpond

    Jonathan Chang, Director

    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

    Bunnings  Diy Digital Transformation

    Bunnings Diy Digital Transformation

    Leah Balter, Chief Information Officer, Bunnings
    Key Learnings From Digital Transformation Journey

    Key Learnings From Digital Transformation Journey

    Susan Lee, Director, People & Culture - Team Experience, Swire Hotels
    Future-Proofing Data Center Designs with a Dash of Innovation

    Future-Proofing Data Center Designs with a Dash of Innovation

    Kevin Miller, Principal, Digital Management, Aurecon
    How Agile Adapted In A Covid-19 World

    How Agile Adapted In A Covid-19 World

    Beth Schmidt, Director, It Delivery And Agile Operations, Markel
    Agile Mindset in a Nutshell

    Agile Mindset in a Nutshell

    An Interview With Samuel Calan, Head Web Frontend, Raiffeisen Switzerland
    Agile Delivery of Semiconductor Facilities

    Agile Delivery of Semiconductor Facilities

    Manuel Magg, Project Director, Exyte
    For a Smarter City: Trust the Data, Ignore the Hype

    For a Smarter City: Trust the Data, Ignore the Hype

    BRAD DUNKLE, DEPUTY CIO, CITY OF CHARLOTTE
    How to Create and Implement Scalable Digital Solutions for Smart Factory

    How to Create and Implement Scalable Digital Solutions for Smart Factory

    MARKO YLI-PIETILÄ, HEAD OF SMART OPERATIONS, STORA ENSO (HEL: STERV)
    Loading...

    Copyright © 2022 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/recent-trends-in-ai-and-their-use-in-organizations-nwid-7221.html