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AI | Radu Orghidan | 27 August 2019

Taming AI in a Cognitive Driven Business World

As we move closer towards a digital version of reality, Radu explores the way AI is creating a new philosophy within technology and how to select the right tools to succeed against your business objectives in the long term.

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Banking | Wynn Davies | 05 May 2021

Artificial Intelligence: Where Does The Real Value Lie?

Wynn Davies explains why AI should not just be used for quick wins but as a holistic foundation to gain more business value. Following American Banker’s Digital Banking: AI & Automation event, he shares three key decision areas for financial services companies to determine their AI strategy and roadmap.

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Article

AI | Radu Orghidan | 11 February 2021

Mapping the Future Applications of Artificial Intelligence

Following their podcast debut, Radu Orghidan and Boris Cergol discuss the requirements, advantages and challenges of Artificial Intelligence projects and share their perspectives on things as diverse as the relationship between people and AI as well as the future applications of edge cognitive computing.

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AI | Radu Orghidan | 17 September 2019

Cognitive Computing Using Cloud-Based Resources

In this two-part blog, Radu offers a structured view of the commercial AI cloud solutions currently on the market using a trifold perspective according to the business focus areas, the technologies driving AI and the start-up situation in 2019 and offers a set of guidelines for a successful cognitive computing approach.

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AI | Radu Orghidan | 01 October 2019

Cognitive Computing Using Cloud-Based Resources II

In the second part of his article, Radu presents a comparison between the tools offered by major cloud providers, highlighting the most important AI functionalities, together with the differentiation factors of each vendor.

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Augmented Reality | Radu Orghidan | 30 April 2020

AR & ML Deployment in the Wild – A Story About Friendly Animals

Radu Orghidan, Vice President of Cognitive Computing, uses Google’s 3D Animals app as an entry point into discussing the processes and technical aspects required to make such AR experiences exist, how ML can improve these kinds of applications, and the optimal team types required to generate and deploy peak-performing AR apps which result in tight connections with end users.

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