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        Analyst Perspectives

        Doing more with less is the defining characteristic of finance and accounting departments in midsize enterprises, which ISG research defines as organizations with between 100 and 999 workers. One frustrating truth confronting executives in these organizations is that, once their company stops being a small business, it has many of the same challenges that large enterprises face but with fewer resources to deal with them. Over the past two decades, advances in information technology have had the...

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        Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, natural language processing, digital finance, Generative AI, Procure-to-Pay, Consolidate and Close Management

        I recently attended Infor’s Velocity Summit, designed to showcase the latest versions of its CloudSuite ERP software. Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements.

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        Topics: Office of Finance, ERP and Continuous Accounting, natural language processing, digital finance, Sustainability Management, AI & Machine Learning, Continuous Supply Chain & ERP, Generative AI

        Software providers have identified “openness” as a key consideration for contact center buyers. Since there is no generally accepted rule about what makes a system open, it makes sense for us to examine what components contribute to that quality, and why it should be thought of as a good thing.

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        Topics: Customer Experience, Contact Center, Generative AI

        Agents are all the rageand for a good reason. They are a way to automate work almost effortlessly so that repetitive and boring tasks get done with the least amount of effort on the part of the operator. In business, agents can be a boon for customer satisfaction and a way to improve worker productivity. They are alluring, with an almost unlimited number of potential use cases.

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        Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, natural language processing, digital finance, Work Management, Generative AI, AI and Machine Learning, Digital Applications, Procure-to-Pay, Order-to-Cash, Consolidate and Close Management

        Generative AI (GenAI) software can transform various aspects of enterprise operations, which makes it a critical component of modern business strategies. GenAI tools can automate repetitive tasks such as data entry, report generation and customer interactions. GenAI can improve overall operational efficiency, resulting in time and cost savings for the organization. Another benefit from GenAI software is the ability to analyze vast amounts of data and extract actionable insights, enhancing...

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        Topics: Playbook, Digital Technology, employee experience, Customer Experience Management, Intelligent Self-Service, Generative AI, Intelligent Automation, Promptbook

        Oracle announced significant updates to its Fusion Cloud Supply Chain & Manufacturing (SCM) software at the recently held Oracle Cloud World. The application suite includes procurement, inventory management, warehouse management, order management and transportation management. SCM tasks are mostly small-scale and repetitive, yet the processes they support are far from simple. They involve the intricate choreography of often complex activities that require the accurate communication and...

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        Topics: Product Information Management, Operations & Supply Chain, AI, Continuous Supply Chain & ERP, Generative AI, Digital Applications

        In today's rapidly evolving technological landscape, artificial intelligence (AI) governance has emerged as a critical ingredient for successful AI deployments. It helps build trust in the results of AI models, it helps ensure compliance with regulations and it is necessary to meet internal governance requirements. Effective AI governance must encompass various dimensions, including data privacy, model drift, hallucinations, toxicity and perhaps most importantly, bias. Unfortunately, we expect...

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        Topics: AI, Generative AI, AI and Machine Learning, Machine Learning Operations, Analytics and Data

        As I’ve written recently, artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk.

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        Topics: AI, Generative AI, AI and Machine Learning, Machine Learning Operations, Analytics and Data

        As I explained in our recent Buyers Guide for Data Platforms, the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development,...

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        Topics: Analytics, natural language processing, data platforms, Generative AI, AI and Machine Learning, Model Building and Large Language Models, Machine Learning Operations

        ERP systems have been the central nervous system of enterprises for more than three decades, handling business-critical process management and recordkeeping. While their basic outlines are unchanged, today’s systems are far more capable in their functional depth, adaptability, usability and manageability. Especially for cloud-based systems, they are far easier to maintain. Decades of refinement and focused development to support specific industries, and even specialized categories within these...

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        Topics: Office of Finance, ERP and Continuous Accounting, digital finance, Generative AI, Procure-to-Pay, Order-to-Cash
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        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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