Innovation

Blockchain, Artificial Intelligence (AI), Mobile, Cloud, Internet of Things (IoT) – the list of disruptive technologies is long. The experts at Camelot ITLab shed light on the jungle of current IT megatrends and show companies how they can benefit from SAP Leonardo innovations.

Blockchain, Artificial Intelligence (AI), Mobile, Cloud, Internet of Things (IoT) – the experts at Camelot ITLab shed light on the jungle of current IT megatrends.

Latest Articles

Innovation

AI Boosted Seasonal Forecasting

Reinforce seasonal forecasting potentials with AI The first solution decreased the safety stock by 2000 tons of 10 seasonal products leading towards a …

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Innovation

SAPPHIRE NOW 2019 – The Camelot Experience

Lady Gaga, Sandra Bullock, Tim Cook and Bill McDermott have one thing in common: they all have been on stage at …

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Innovation

SAP’s Machine Learning and Data Science Platform welcomed by Camelot

There is a strong competition among machine learning (ML) and data science platform providers, all claiming to possess a distinct edge …

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Innovation

Blockchain enabled Accounting Automation Platform

Sharing revenue and according reconciliation processes connected to digital services are a time-consuming matter. Deutsche Telekom, SAP and Camelot ITLab teamed …

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Innovation

Nuts Included? – Blockchain Can Help Find Out

Camelot ITLab, DellEMC and Intel have just published a case study for how blockchain technology can be leveraged for Ingredients Regulation …

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Innovation

The Importance of a Data Science Learning Journey for Your Organization

Among the most important pillars of leveraging data science in your organization is to enable your employees to make data-driven decisions. …

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Innovation

IoT and Digital Manufacturing: Networking at All Levels

The Internet of Things is basically about networking. But many IT managers are still not exploiting the potential of integration at …

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Innovation

Data Science for Insights Finding

In the age of Digital Transformation, companies should benefit from using Machine Learning (ML) techniques to improve their processes. A lot …

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Innovation

Exploratory Data Analysis – An Important Step in Data Science

One of the most challenging questions data scientists face is how data can bring value to a specific problem. Data scientists …

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