Most Important Topics
CAMELOT Consulting Group
Machine Learning
IT systems can generate knowledge from experience through machine learning. The basis for this is the analysis of huge amounts of data using algorithms. With the help of machine learning, IT systems identify patterns and principles in order to develop solutions. Here, you will find use cases and inspiration for applying machine learning in your company.
Important topics
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
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
#SAPInnovation – Have a Look at our 2019 Award Submissions
The SAP Innovation Awards celebrate the achievements of top companies and people across the globe that are using SAP products to …
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MDG
Using Machine Learning to Verify Critical Master Data
When the pallets don’t all fit in the truck or the truck leaves the yard only half full, the corresponding …
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Innovation
The House of AI Driven Work – Delivering Value through Automation
As businesses get smarter and smarter, a well-structured and established data strategy becomes key to competitive advantage. What does it mean …
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Logistics
The Digital Yard – A Journey to the Future of Logistics
New technologies have challenged the way businesses operate today, boosting speed and improving efficiency. However, many companies overlook the potential impact …
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Innovation
An Introduction to Machine Learning – the Heart of AI
Machine Learning (ML) enables the analysis of massive quantities of data. The outputs are typically predictions and recommendations. The algorithms are …
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Data & Analytics
Does AI Make MDM Obsolete?
After companies have finally realized that their businesses run on data and CIOs and senior management have heavily invested in building …
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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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Future Value Chain
Management Decisions – Supported by Data Analytics and AI
Digital models of value chains or entire companies support management decisions on matters ranging from strategy to medium-term planning and day-to-day …
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Data & Analytics
Analytics as Enabler of Agile and Data-Centric Procurement
Analytics fuels the procurement function with clear insights into timely demand recognition, better sourcing models, and risk avoidance. However, only a …
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