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Whitepaper: Delivering value through AI

Deepa Mamtani
June 24, 2020

Artificial Intelligence (AI) is fast becoming a crucial competency for organisations however, its adoption poses many challenges. Companies want to leverage the power of AI but they are not sure where to start. Top reasons why AI adoption can be difficult is because companies don’t have the required skills, proper infrastructure, or they struggle to identify a good use case to start with. Implementing AI solutions within an organisation is a long-term transformation journey as it requires companies to have the right data, platforms and infrastructure to be deployed sustainably. Every company is in a different stage of maturity and requires different approaches when implementing AI solutions. Sogeti helps its clients along this AI transformation by meeting them where they currently reside in the journey. Some clients are further ahead than others and that is why Sogeti has created a methodology of AI implementation that fits every road map. Whether you are an organisation that is contemplating bringing AI into its processes or an organisation that has already experimented with AI or an organisation that is quite advanced in their AI journey, Sogeti can help bridge the gap between where you are and where you need to be. Our philosophy towards AI is simple, we believe in delivering value through AI.

Download the whitepaper to learn more.

About the author

Artificial Intelligence Specialist | Netherlands
Deepa is passionate about analysing and leveraging data and translating them into strategic outcomes for clients. She has a multi-disciplinary consulting background in strategy, analytics and data science within the Financial Services, Consumer Business, Telecommunications, Aviation and Insurance industries. Her expertise is in artificial intelligence, deep learning, data science, strategy and process optimization. Currently, she is leading the AI CoE in the Netherlands and together with her team developing AI solutions using deep neural networks, GANs and computer vision. She has a multicultural background and education having lived in seven different countries. Education in MSc Business Analytics and Big Data, MBA and BCom Economics and Business Management.


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