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        Analyst Perspectives

        Increased enterprise focus on artificial intelligence (AI) and generative AI (GenAI) has served to sharpen the focus on the need for trusted data and reliable analytics and data operations. The ISG State of Generative AI Market Report highlighted that elevated expectations and demands associated with AI are a forcing function for enterprises to take long-overdue steps to improve data and analytics processes to ensure that data that is clean, well-organized and compliant with regulatory...

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        Topics: Analytics, AI, data operations, AI & Machine Learning, Analytics & Data, Generative AI, Machine Learning Operations

        One of the promised benefits of artificial intelligence (AI), Generative AI (GenAI) and agents is that they can make everyone their own financial and business analyst. It’s true that these technologies can make it possible for everyone to access once hard-to-reach data (with suitable permissions), unleash agents to assemble the data into useful tables and charts along with commentary describing results and highlighting underlying drivers of results, propose next best actions and use natural...

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        Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, AI, digital finance, AI & Machine Learning, Generative AI, Consolidate and Close Management

        Data catalogs provide an inventory of data assets that surface metadata from data platforms, analytics tools and applications that can be used to facilitate data discovery and data usage across an enterprise. As I recently explained, however, there are actually multiple types of data catalogs that offer functionality to address specific use cases and user roles, including data inventory, data discovery and data governance. The data intelligence catalog is an emerging category that combines...

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        Topics: Governance, Operations, data platforms, Data Intelligence, AI & Technologies

        Conversational automation leverages artificial intelligence (AI)-powered agents, chatbots and virtual assistants to automate both customer interactions and internal processes. These systems understand natural language, sentiment and intent, generating relevant responses and executing actions based on user input. The software provider landscape is analyzed in the ISG Buyers Guide for Conversational Automation.

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        Topics: Self-service, natural language processing, Chatbots, Customer Experience Management, Intelligent Automation, Conversational Automation, IT & Technologies

        As enterprises seek to expand and accelerate the adoption of artificial intelligence (AI) many are finding that longstanding analytics and data challenges are a barrier to success. As was explained in ISG’s State of Generative AI Market Report, AI requires data that is clean, well-organized and compliant with regulatory standards. The need for good data management is by no means new, but the expectations and demands associated with AI are a forcing function for enterprises to take long-overdue...

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        Topics: Machine Learning, Analytics, Data, Artificial intelligence, natural language processing, Generative AI, Data Intelligence, Machine Learning Operations

        The HCM market has undergone a significant transformation in recent years. Legacy providers, long the dominant force, built their platforms primarily for administrative efficiency—streamlining HR processes but often overlooking the broader employee experience. However, today’s workforce expects more. Employees and managers now demand intuitive, engaging and connected HR experiences that extend beyond transactional tasks.

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        Topics: Human Capital Management, Employee Engagement, Learning Management, Talent Management

        AI, like analytics, must lead to action. Too often, in both cases, too much of the exercise is left to the reader. We have tools to provide sophisticated analyses, including AI platforms that can be used to predict many types of behavior, but we fall short in helping the workforce know what to do with that information. Some examples are more obvious, such as fraud detection. If a transaction is predicted to be fraudulent, the transaction should be blocked. But even this example is not as cut...

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        Topics: Artificial intelligence, Generative AI, Large Language Models, Model Building

        Enterprise Resource Planning (ERP) systems are comprehensive software platforms designed to integrate and manage all the core processes of an enterprise while recording transactions and their financial consequences to support the accounting and finance functions. ISG Software Research recently completed our Buyers Guide™ for ERP systems, designed to help enterprises that are replacing their existing ERP software to make the best choice, both in terms of the product’s performance as well as the...

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        Topics: Office of Finance, Continuous Planning, ERP and Continuous Accounting, digital finance, AI & Machine Learning, Generative AI

        Late 2024 saw the publication of the 2024 ISG Buyers Guides for DataOps, providing an assessment of 49 software providers offering products used by data engineers, data scientists, and data and AI professionals to facilitate the use of data for analytics and AI needs. The DataOps Buyers Guide research includes five reports which are focused on overall DataOps, Data Observability, Data Orchestration, Data Pipelines and Data Products. This is the first time in the industry when all software...

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        Topics: Analytics, data operations, AI & Machine Learning, Analytics & Data, Data Intelligence

        It is now more than two years since the launch of ChatGPT introduced the world to generative AI (GenAI) and large language models (LLMs). GenAI-based assistants and co-pilots are now widely adopted, with individuals and enterprises adopting GenAI models to automate the generation of text, digital images, audio, video and code, amongst other things.

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