Delivering innovative AI to the enterprise

Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Delivering innovative AI to the enterprise

6th Global Summit on Artificial Intelligence and Neural Networks

October 15-16, 2018 Helsinki, Finland

Mark Strefford

Timelaps AI Limited, UK

Scientific Tracks Abstracts: Adv Robot Autom

Abstract :

Introducing AI and ML technologies into the enterprise, as with any IT project, has a number of challenges. A number of these are often comparable to the delivery of a standard IT project, such as ensuring there is a clear business outcome, a defined scope for delivery, stakeholder engagement, a suitably qualified team and the ability to measure progress as the project continues. However, there are subtle differences that if not addressed or the business and technology stakeholders are not made aware, can increase the risk, cause issues during delivery and ultimately and potentially cause the project to fail. With a muchhyped technology that is immature in its wide scale enterprise adoption such as AI, a high-profile failure can set an organization back in its appetite to adopt this technology again in the near to medium term. The aim is to highlight some of the issues that are likely to arise, from understanding the organizations strategy for AI, structuring a project delivery approach, engagement with users, ensuring that you have the right mix of resources to deliver, how to integrate with wider systems, security, privacy and data controller concerns and subsequently some proven approaches to take in addressing these.

Biography :

Mark Strefford is the Founder of Timelaps AI Limited, UK. He is an experienced Technology Leader in delivering innovative technologies to leading national, international private and public sector organizations.



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