data scientist

How Can Data Science Help Businesses Thrive?In today’s climate of economic uncertainty, many firms are looking to reposition and adapt through automation. Investing in robotic process automation (RPA) can help SAP customers reduce bottlenecks and improve workplace efficiency. Bots can automatically perform manual and repetitive tasks, reducing the need for human intervention. However, firms need data scientists to oversee these systems and analyze data. In fact, the demand for data science skills is predicted to increase by up to 27.9% by 2026. More and more employers are acknowledging the value of technology to drive growth and expansion, and the increasing number of specialists studying data science at degree level online is feeding this demand. The rise in data science graduates led to Glassdoor naming it the best job in America in 2018, with the average job growth for research analysts alone at 27%. By hiring from this wide pool of expert data scientists, businesses can obtain fresh and actionable insights that will help them succeed in the future.

Aug 24, 2020

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3 minute read

Using Artificial Intelligence with SAP for Dynamic Financial Environments Traditional programming approaches—such as using ABAP development to create customized applications within SAP—are often too slow to respond to today's fast-changing environments. With the rise of artificial intelligence (AI), data scientists are able to create more sophisticated, customized calculations in SAP to better support marketing and operations. In this article, the author explains how to build an AI model using SAP tools that can manage sales volumes with dynamic commissions based on inventory levels. After reading this article you will be able to: - Define AI's current role in SAP and two types of AI; - List examples of SAP tools that can be used to create applications using AI; and - Recall the steps required to build an intelligent system.

Jun 25, 2020

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17 minute read