SteepGraph at Aras ACE 2024

• Accelerated user adoption with a next-gen e-learning solution — our panel discussion on getting people actually using Aras after go-live, rather than treating training as a one-off at launch. (Tajagna Hirpara and Lars Peder Hansen, 5 March)
• INFRA Watch — live demos of our server monitoring tool for organisations running complex Aras infrastructure.
• Our Advanced Toolset — hands-on demos of the productivity, usability and enhancement tools we have built across 75+ tools.
• Large-scale Aras implementations — what changes at 7,500 and 40,000 users, drawn from our work in renewable energy, FMCG and automotive supply.
• Aras UI enhancement, DevOps and data migration — including our ETL migration framework, and solving for performance, advanced search, infrastructure and CI/CD on big estates.

Aras Community Event is Aras Corporation's annual user conference, bringing together Aras customers, partners and the product team for several days of sessions on platform direction, customer programmes and technical practice. The 2024 edition ran 4–7 March in Fort Worth, TX, where SteepGraph was a Gold Sponsor at Booth 8 and joined a panel discussion on user adoption.

• The cloud shift is real, not aspirational. Aras reported 77% year-on-year growth in SaaS deployments and 61% subscriber growth since late 2021 — which changes how we scope infrastructure and upgrade work for customers still weighing on-prem.
• Supplier collaboration moved into the core product. Aras announced Supplier Management, giving suppliers controlled access to digital thread data through mobile-optimised apps — worth knowing before anyone builds a custom portal for it.
• "Build with Aras" and the planned app marketplace change the partner model. Extensions become products rather than one-off customisations, and that shapes how we advise clients on what to build versus buy.
• Adoption was the gap nobody had a plan for. Between Dr. Jackie Freiberg's keynote on organisational change and the conversations at our booth, the pattern was consistent — the platform lands, the people do not follow, and training at go-live is treated as sufficient.