Make AI Work for Your Business!

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  1. Understanding the difference between Business Intelligence (BI) and Artificial Intelligence (AI)

    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…

  2. The Role of Artificial Intelligence in Automation

    By Rizal Ahmed, Chief Content Officer, SAPinsider Everyone is talking about Artificial Intelligence and Machine Learning, but how specifically can these technologies add value to your automation projects? Applying AI and ML for Automation: Where Are You on the Spectrum? Stories and content on Artificial Intelligence are regularly splashed across most business and technology trade…

  3. Jump-Start Your Process Automation Projects with Cloud-Based Artificial Intelligence Technologies

    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…

  4. What Are the Risks of Artificial Intelligence in Cybersecurity and to Your SAP System?

    Ransomware continues to be one of the top varieties of malicious software. And it’s wreaking havoc, grinding company operations to a halt as the ransomware renders mission-critical data and systems inaccessible, while also exposing companies to huge regulatory penalties. One of the primary vehicles for ransomware is phishing attacks, where hackers trick email recipients into…

  5. Enterprise Artificial Intelligence – Embedded AI

    If your company has not begun building an artificial intelligence (AI) strategy, it may risk falling behind competitors. That could mean lagging in areas of innovation that AI can enable, including improved or new products, reduced risks, and a better bottom line. There is good news for SAP customers: SAP has already begun embedding AI…

  6. Securing SAP Systems in the Age of Artificial Intelligence

    Historically, SAP has employed conventional methods to secure its systems. However, the most critical areas in SAP cybersecurity now require professionals to leverage AI. The widespread adoption of artificial intelligence (AI) technology has introduced challenges in ensuring the security of SAP systems. To address the evolving cyber threats in the SAP ecosystem, cybersecurity experts specializing…

  7. Pythian Announces Generative Artificial Intelligence Offerings for Enterprise Transformations

    Pythian, a leader in data, analytics, and cloud services, has announced its strategic plans to harness the power of generative artificial intelligence (GenAI) to fuel rapid advancement and transformation within businesses. Applying AI in a business context comes with unique requirements and risks. While enterprises aim to reap the advantages of AI, such as automation,…

  8. Simple Explanations of Key Artificial Intelligence (AI) Terminology

    This alphabetical guide to key artificial intelligence (AI) terminology can help you put AI technology to work.  Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here

  9. Artificial Intelligence in the World of SAP

    With the introduction of generative AI tools such as OpenAI’s Chat-GPT, the field of artificial intelligence has gained attention like never before. Beyond GenAI, there are several other forms and use cases of artificial intelligence that can help build future-ready enterprises. According to SAPinsider’s Benchmark report on AI & Automation in Finance, the top three…

  10. 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…