Building an AI Strategy for your organization: An executive perspective

731 results

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

    Reading time: 5 mins

    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

    Reading time: 6 mins

    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

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

    Reading time: 14 mins

    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…
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    Enterprise Artificial Intelligence – Embedded AI

    Reading time: 9 mins

    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…
  5. Simple Explanations of Key Artificial Intelligence (AI) Terminology

    Reading time: 7 mins

    This alphabetical guide to key artificial intelligence (AI) terminology can help you put AI technology to work.  This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  6. Using Artificial Intelligence with SAP for Dynamic Financial Environments

    Reading time: 17 mins

    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…
  7. Financial Management Impact of Robotic Process Automation and Artificial Intelligence

    Reading time: 5 mins

    Keeping pace with technology in financial management can be a tricky endeavor. Intelligent automation (IA) has caught the attention of finance professionals at enterprises large and small and is being adopted at impressive rates. But what exactly is IA? It is the breadth and complexities of mechanizations, such as robotic process automation (RPA) and artificial…
  8. What SAP Customers Can Expect with Industrial IoT and Artificial Intelligence

    Reading time: 3 mins

    SAPinsider recently interviewed leadership at Accenture Digital to obtain a greater understanding of Accenture’s Industrial Internet of Things (IIoT) and artificial intelligence (AI) platform strategy with Connected Platforms as a Service (CPaaS) and the Applied Intelligence Platform (AIP) and gained some insight into what it might mean for SAP customers. What IIoT Capabilities Does Accenture…
  9. The 4 Key Layers of the Artificial Intelligence Technology Stack

    Reading time: 4 mins

    Learn about four layers behind artificial intelligence: data collection, data storage, data processing and analytics, and reporting and output. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  10. IBM Watson Artificial Intelligence for SAP Solutions

    Reading time: 2 mins

    SAP and IBM have collaborated to embed IBM Watson technology into SAP solutions. The aim is to utilize AI-powered analytics and automation to expedite innovation and enhance user experiences across SAP’s range of applications. The integration will take place within SAP’s digital assistant, housed in SAP Start, which acts as a central hub for SAP’s…