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69 results
Competitive Advantage Through AI-Powered Talent ManagementMar 30, 2022 — As per statistics released by the Manpower group in 2021, over 20 million jobs were eliminated during a two-month period in 2020. If that was the trough, the current labor market scenario is at its peak. In sharp contrast to 2020, 2022 is the best market that job seekers have experienced over their career. Employers […]
6 minute read
Discussing AI Powered Talent Management with PhenomMar 30, 2022 — Employers can no longer keep relying on legacy data points like educational qualifications and work experience, combined with a conventional interview process to validate skills and determine “cultural fit”. Overall, this approach is legacy, subjective, has multiple drawbacks, and can introduce potential bias opportunities. However, the good news is that with advances in data science, companies can now leverage technology solutions that can help them build a data-driven foundation to build a strategic and optimal talent management capability. To discuss the critical role of advanced analytics and AI in talent management, SAPinsider recently invited Kumar Ananth, head of product for Phenom, a leading AI-powered talent experience solution provide
1 minute read
Understanding the difference between Business Intelligence (BI) and Artificial Intelligence (AI)May 25, 2021 — In the world of technology, it will be an impossible task these days to find someone who is not aware of the term data science.
With the emergence of data science, Artificial Intelligence (AI) and Machine Learning (ML) tools appreared on the horizon. The world was introduced to the significant impact AI and ML tools could make to the way businesses plan and operate.
Among all this hype, BI, which was the poster child of the world of analytics till then, started to lose its glamour.
However, the fact is, descriptive analytics is one of the foundational capabilities and is in no way inferior to other type of tools and algorithms. The fact is, an organization strategically needs to define what type of analytics it will be leveraging across its functions and processes.
Eventually, you will be leveraging a portfolio of tools. And for some aspects, descriptive analytics is all that you need and anything more than that may be an overkill.
5 minute read
Jump-Start Your Process Automation Projects with Cloud-Based Artificial Intelligence TechnologiesNov 6, 2020 — For many organizations, artificial intelligence (AI) is no longer a future vision. It is already a key part of their plans for transforming into high-performing digital businesses with a competitive edge driven by automated processes and operations. To help its customers take advantage of AI to improve the efficiency of their business processes, reduce manual and repetitive work, and solidify the resilience of their operations, SAP offers SAP AI Business Services, a portfolio of cloud services that provide machine learning and AI capabilities for business applications. In this article, you will:
• Get an overview of how SAP AI business services fit into a comprehensive digital process automation strategy.
• Learn how these services can help SAP customers drive end-to-end process automation.
• Walk through two examples of how these services can improve processing time and quality: in a shared service center framework and in a business document processing scenario.
14 minute read
Twelve Traits That a Business Intelligence Program and Building With LEGO Bricks Have in CommonJul 14, 2020 — A strong and reliable business intelligence (BI) program can quickly reveal areas for improvement and help organizations make proactive decisions by identifying business patterns and trends and providing a comprehensive view of a company’s data. Establishing such a program, however, requires many pieces to fit together, similar to—according to SAPinsider Expert Jeff Stout—building with LEGO bricks. Stout lists a dozen shared traits between creating your next BI program and building with plastic blocks.
After reading this article you will be able to:
- Understand when to incorporate creativity and visionary qualities into your BI program;
- Explain strategies for collaboration, community, and sharing feedback during your program creation; and
- List the different parts of and apply a simple framework for a BI program.
10 minute read
SAP Leonardo Vs. TensorFlowJul 7, 2020 — Machine learning (ML), considered a subset of artificial intelligence, is growing in popularity among businesses that want to create better computing models with high volumes of data in order to make decisions faster. SAP Leonardo and Google’s TensorFlow are both known, in part, for their ability to prototype and integrate with ML projects. In this article, the author compares the subtle differences between the two solutions to help customers determine which utility will meet their individual ML project needs, including real-life examples that demonstrate how two well-known companies are using each product.
After reading this article you will be able to:
- State several similarities between SAP Leonardo and TensorFlow;
- Identify specific differences between the two solutions; and
- Understand which components might make one solution the best option for your ML project.
4 minute read
Using Artificial Intelligence with SAP for Dynamic Financial EnvironmentsJun 25, 2020 — 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.
17 minute read
How AI and SAP Technology Optimize OperationsMay 29, 2020 — By Georgina Watkins Artificial intelligence (AI) and SAP ERP technologies have been highly instrumental in optimizing and streamlining the operations of many modern companies. Despite the value of these technologies to both scaling startups and large corporations, not all are fully aware of just how AI and SAP are beneficial to their organizations. If you’re […]
2 minute read
How to Build a Digital Assistant with SAP Conversational AIMay 11, 2020 — The rate at which businesses are using conversational platforms to interact with customers is quickly increasing, and for good reason—enterprise chatbots function as digital assistants that help users get immediate responses for their queries and make decisions faster. SAP Conversational AI adds a human-like component to SAP technology and can improve user experience and employee perception, increase productivity, and reduce employee frustration without the need to rebuild applications. In this article, Capgemini consultants provide step-by-step instructions on how to develop a chatbot using SAP Conversational AI, including how to build its logical intents and integrate the bot with your SAP system.
After reading this article, you will be able to:
- Explain how to host your bot in a Cloud Foundry environment on an SAP Cloud Platform;
- Perform purchase order approvals and check information related to products, suppliers, and more using SAP Conversational AI;
- Define the multilingual capabilities in SAP Conversational AI and create a common channel for employee communication; and
- Describe how to monitor the bot, improve bot responses, and enhance its understanding of the user inputs.
8 minute read