Tag: artificial intelligence

  • Stripe – The Future of Commerce: Asia Pacific Virtual Summit 2025

    Event Overview

    Date: November 6, 2025
    Format: Virtual Event
    Duration: Half-day online summit
    Target Audience: Asia Pacific businesses, technology leaders, and commerce professionals


    Schedule by Region

    Region Time Zone Event Hours
    India IST 8:30 a.m. – 11:30 a.m.
    Southeast Asia SGT 11:00 a.m. – 2:00 p.m.
    Australia AEDT 2:00 p.m. – 5:00 p.m.
    New Zealand NZDT 4:00 p.m. – 7:00 p.m.

    Event Description

    This free half-day online event is designed for Asia Pacific businesses to connect with fellow business and technology leaders. Attendees will gain valuable insights and explore the latest trends shaping the future of payments and financial technology.

    Participants can watch keynotes, breakout sessions, and demos at their own pace, experiencing the best of Stripe Tour in an online format.


    Key Topics

    The event explores the latest trends in AI, stablecoins, agentic commerce, and global expansion. Attendees will get an inside look at Stripe’s newest product innovations and hear from experts and fast-growing companies across Asia Pacific.

    Main Focus Areas:

    • Trends shaping the next decade of payments and trade—including the rise of AI and stablecoins
    • Lessons from founders of fast-growing AI startups in Asia Pacific
    • Strategies for scaling globally
    • Maximising conversion and minimising fraud with AI-powered payments
    • Tools and insights to drive smarter pricing and monetisation strategies

    Why Attend

    Benefit Description
    Explore New Growth Opportunities Learn about emerging ideas and tools shaping payments in Asia-Pacific, plus creative strategies to use AI and financial technology
    Solve Business Challenges Discover how to optimise payments and pricing, create new customer experiences, and test new business models
    Tailored Content Watch breakout sessions on topics of choice, including payments optimisation, embedded finance for SaaS, and strategic pricing
    Expert Access Watch product demos and interact live with Stripe experts

    Live Sessions Schedule

    Opening Keynote

    Time: 8:30 a.m. IST | 11:00 a.m. SGT | 2:00 p.m. AEDT | 4:00 p.m. NZDT
    Title: The Future of Commerce
    Content: Trends expected to shape the next decade of payments and global trade: AI and stablecoins

    Regional Product Keynotes

    Session Time (Multiple Zones) Focus
    Southeast Asia Focus 9:00 a.m. IST | 11:30 a.m. SGT New Stripe products for Southeast Asian revenue growth
    Australia & New Zealand Focus 2:30 p.m. AEDT | 4:30 p.m. NZDT New Stripe products for ANZ revenue growth

    On-Demand Breakout Sessions

    Attendees can watch a range of breakout sessions and demos on demand, exploring different tracks covering AI, global growth, stablecoins, pricing strategies, and SaaS financial services.

    Featured Sessions:

    Agentic Commerce: The Next Era of Intelligent Buying
    How agentic AI will transform customer and business decision-making as LLMs become central to discovery and search.

    Why Businesses Can’t Afford to Ignore Stablecoins
    Exploration of how stablecoins are reshaping global money movement.

    The Asia-Pacific AI Landscape
    Insights from founders of Asia Pacific’s fastest-growing AI startups on managing rapid growth.

    Borderless Businesses: Playbooks for Cross-Border Growth
    How businesses accelerate global expansion amid uncertainty and the Stripe solutions powering them.

    Monetising Financial Services for SaaS Platforms
    Latest SaaS trends, product updates, and launches for platforms across Australia and Southeast Asia.

    Product Roadmap: Payments
    New payments upgrades for Australia and Southeast Asia designed to grow revenue, lower costs, and improve customer experience.

    The Science Behind Successful Pricing Strategies
    Strategic pricing insights and Stripe Billing data from 300K+ fast-growing companies revealing monetisation trends.


    Featured Speakers

    Name Company Position
    Peak Ji Manus AI Cofounder and Chief Scientist
    Sarita Singh Stripe Managing Director—Southeast Asia, India, Greater China and South Korea
    Maia Josebachvili Stripe Chief Revenue Officer, AI
    Michael Lansdown amaysim Director CX
    Sivaramakrishnan Iswaran Zoho Corporation Global Head, Zoho Finance and Operations
    Karl Durrance Stripe Managing Director, Australia and New Zealand
    Paul Harapin Stripe Chief Revenue Officer, Asia Pacific
    Gaurav Sharma SaaS Labs Founder and CEO
    Julia Edwards-Smith Xero GM Product Marketing, Growth
    Mai Leduc Blount Bridge Head of Product

    Registration

    Cost: Free
    Format: Virtual attendance with live interaction capabilities
    Access: On-demand content available for flexible viewing
    Registration Link

     

  • Red Hat AI roadshow, Sydney, June 2025

    REGISTER HERE

    A single day experience, the Red Hat AI roadshow gives you insight into how to accelerate time to value of AI-enabled applications at scale across hybrid cloud. So you can increase team efficiency and productivity, enhance customer experiences, and drive innovation with enterprise-ready AI, including generative and predictive AI.

    As part of the roadshow attendees will have the opportunity to build, train, and deploy AI models and integrate them into an application with a hands-on lab. They’ll experience what it is like to go from an idea to building an accurate model to having a production-ready application.

    In this session you will:

    • How generative AI is being used as a strategic enabler
    • Challenges and considerations to be aware of when building an end-to-end AI platform
    • How Red Hat AI accelerates the development and delivery of AI solutions across hybrid-cloud environments
    • A model alignment approach that does not require specialized data science skills
    • Solution patterns IT teams can use to support rapid, cost-efficient, and secure AI development and usage
    • Hands-on experience working with a MLOps platform: Build and train different model types, integrate them into a frontend application to create new features, and test the application as a user. No AI experience is required

    Who should attend:

    • Data Engineers, Data Scientists, ML engineers
    • Developers and Developer team leads
    • Application architects, Enterprise architects
    • Infrastructure architects, Infrastructure specialists
    • IT decision makers, IT directors

    ImportantPlease bring your personal laptop (No VPN) to access this hands-on experience. Kindly ensure that your laptop should have a modern web browser that can operate without a corporate VPN connection. While our preferred browser is Google Chrome, Firefox, Safari, and Edge should also be compatible.

    Know before you go

    Operations, developers, and data science practitioners doing the hands-on lab should have these suggested tools and knowledge of these areas:

    • A laptop computer running Windows, MacOS, or Linux with the Firefox or Chrome-based web browser (a Chrome-based browser is preferred)
    • Entry-level Kubernetes concepts
    • A general understanding of Linux containers (e.g., Docker, CRI-O, etc.)
    • General knowledge of AI terminology (e.g., machine learning, deep learning, foundation models, etc.)
    • No AI experience is required

    Note:
    Red Hat is committed to the health and safety of our customers, partners, and employees. All attendees will be expected to follow Red Hat and local guidelines regarding COVID-19. Please do not attend if you are feeling ill or have any symptoms of a viral infection. Please note that all protocols are subject to change.

     

    Agenda

    Sheraton Grand Sydney Hyde Park
    161 Elizabeth St,
    Sydney NSW 2000

    TIME AGENDA
    9:30 AM – 10:00 AM Guest arrival and Registration
    10:00 AM – 10:15 AM Welcome
    10:15 AM – 10:45 AM Introduction to Red Hat’s AI – our Vision and Portfolio
    10:45 AM – 11:15 AM Introduction to Red Hat Inference Server and Model-as-a-Service
    11:15 AM – 11:45 AM Introduction to Instruct Lab
    11:45 AM – 12:30 PM Hands on with Red Hat OpenShift AI
    12:30 PM – 1:00 PM Lunch Break
    1:00 PM – 2:00 PM Continue with Hands on Lab
    2:00 PM – 2:30 PM Coffee break
    2:30 PM Continue with Hands on Lab & Closing presentation

    SPEAKERS