Digital Enterprise Architecture Summit
13 - 14 November 2019

Enterprise architecture is in demand. With rapidly changing technologies and digital transformation, it is critical for EAs to stay ahead of the curve.

Join us for our online summit featuring discussions and masterclasses hosted by enterprise architecture leaders and experts globally. Explore upcoming trends, challenges and practical solutions for managing Cybersecurity, Application Rationalization, Technical Debt and Unifying Technology and Business Strategy.

13 – 14 November 2019
Register for Enterprise Architecture Summit webinars below:

 You will receive more information on individual sessions and topics once announced

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Where is the digital summit?

It’s online. Join from the comfort of your office, boardroom, or home. Links and access details will be provided once the agenda is announced.

How do I gain access?

Registering your interest for the event will give you the opportunity to access all sessions. Once the full agenda has been announced, you will be notified and given the opportunity to join each session of interest.

Will I receive a recording of all sessions?

Yes. By registering you will automatically be included in a follow-up email that includes recordings of all live sessions. You can expect to receive that email within a week of the event’s completion.

Will I be able to ask questions to the presenters?

Yes. You will be able to ask any questions during the live Q&A at the end of each session.

What language will the presentation be in?

All presentations will be conducted in English.

Who are Avolution?

Avolution produces the ABACUS toolset, used by over 3000 organizations worldwide to manage enterprise architecture, IT and business strategy. ABACUS users can move quickly, collaborating on centralized data, building models and roadmaps, and running algorithms to predict the outcomes of strategies and report with rich visuals and dashboards. ABACUS is available either on premise or as a cloud-based tool for modeling, analytics and data visualization.

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