Scaling Enterprise AI
AI at Enterprise Scale: Modernising Systems and Data for the 2026 Transformation Cycle
Sydney CBD, Australia
Hosted by Factor
- 100 attendees
- 2 hours
Overview
AI at Enterprise Scale: Modernising Systems and Data for the 2026 Transformation Cycle
In 2026, most organisations are past experimentation and deep into the challenge of scaling AI across business functions. Leaders are discovering that legacy systems, inconsistent data pipelines and ungoverned cloud expansion are blocking progress. This roundtable explores how CDOs, CIOs and CTOs can modernise their digital core, automate workload transformation and prepare their data and infrastructure for the performance, governance and transparency expectations facing AI in 2026. We will dig into the realities of multi cloud cost pressure, cloud repatriation trends, regulatory scrutiny and the need for accurate and assured migration at pace.
What to expect
- Senior Executives 10+
- Discussions Interactive
- Hours
What we will cover
- How 2026 AI governance demands are reshaping migration and modernisation priorities
- Reducing the true cost of cloud adoption and migration through automation and cloud-agnostic pathways
- Governing data assets for trustworthy, AI-ready pipelines at enterprise scale
- Preparing for the next wave of technology change without increasing complexity
Agenda
- Delegate arrival & registration(Executive Luncheon) Welcome on arrival. Enjoy a moment to connect informally with fellow attendees before the session begins.
- Welcome drinks & refreshments(Executive Luncheon) networking break with light refreshments as we prepare for the session ahead.
- Opening remarks(Executive Luncheon) An introduction to today’s topic and discussion focus: The gap between digital origination and post-settlement servicing The case for digitising self-service experiences What we aim to explore together
- Interactive discussions(Executive Luncheon) Facilitated peer-to-peer conversation covering the following key discussion points: Accelerating product development – lowering cost and time to market for new lending products Optimising post-settlement processes – account visibility, intuitive customer inquiry, flexible repayment, rescheduling, and schedule maintenance Simplifying business and IT processes – minimising complexity and reducing platform ownership costs Driving operational efficiency – realigning resources, improving cost-to-income ratios, and mitigating risk Learning from international market experiences – overcoming legacy limitations to enable smarter, scalable loan management
- Closing remarks(Executive Luncheon) A brief summary of key takeaways and insights shared during the discussion.
- Networking drinks & end of session(Executive Luncheon) An opportunity to continue conversations in an informal setting to wrap up the session.
Partners
Impetus Impetus enables ‘the intelligent enterprise’ with innovative cloud engineering, data engineering, and GenAI solutions and services. An AWS Premier Partner, Elite Databricks Consulting Partner, and Premier Snowflake Services Partner, Impetus offers tailored solutions for automated legacy workload migration, accelerated data platform creation, cloud cost optimisation, data catalog and advanced analytics to unlock data responsibly for GenAI. Impetus has developed a software accelerator called LeapLogic (both software and dedicated COE service teams) that provides an end-to-end data platform migration capability. LeapLogic’s intelligent pattern engine identifies optimisation opportunities at schema, code, and execution levels and converts all types of workloads, logic, and workflows to a Modern Data platform. LeapLogic provides our customers up to 95% automation, 50-75% reduced time-to-market, 90% reduction in risk, 2x cheaper, 1.5x faster validation and 100% preservation of investment in business logic. Partner with Impetus for risk-free digital transformation, leveraging our proven expertise in complex migrations with Large Enterprise organisations.
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