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        Analyst Perspectives

        Zoho recently held its annual analyst day to communicate its strategy, objectives and product roadmap. The privately held company, headquartered in Chennai, Tamil Nadu, India, has an unconventional approach to the software market. Its self-described corporate philosophy emphasizes making bold moves that challenge assumptions. Its design engineering approach stresses simplicity and cost while aiming to provide easy-to-use software with sufficient capabilities to improve personal and...

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        Topics: Office of Finance, Voice of the Customer, Digital Commerce, ERP and Continuous Accounting, digital finance, Customer Experience Management, Generative AI, Procure-to-Pay, Order-to-Cash

        After a year of near-constant AI chatter, the broad strokes of how the technology will roll out in business over the next three to five years are coming into place. It’s almost trite but worth repeating that artificial intelligence will drive a substantial boost in productivity as it’s adopted. Rather than making large swathes of jobs obsolete, it will take the robotic work out of those job descriptions, enabling people to focus on tasks with a greater economic return. 

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

        The first wave of discussions around artificial intelligence (AI) in the contact center was focused on providing software buyers with a general understanding of what the technology could do. Now the conversations are becoming more specific, focused and direct. Buyers are more aware of the spectrum of available use cases and appear to be exploring how to map new tools to the particular business problems they face. Contact center buyers are approaching new technology deployments (or enhancements...

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        Topics: Customer Experience, Contact Center, AI, natural language processing, agent management, Intelligent Self-Service, Generative AI, Computer Vision

        I have previously written about the impact of intelligent operational applications on the requirements for data platforms. Intelligent applications are used to run the business but also deliver personalization, recommendations and other features generated by machine learning and artificial intelligence. As such, they require a combination of operational and analytic processing functionality. The emergence of these intelligent applications does not eradicate the need for separate analysis of...

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        Topics: Analytics, Artificial intelligence, data platforms, Analytics & Data, Generative AI, AI and Machine Learning

        Digitally transforming finance operations has been a priority since 2020. For purchasing and the procure-to-pay cycle, software can streamline processes, shorten process times, reduce unnecessary costs, provide greater visibility into cash flows, increase control and improve results. Digitizing operations helps attract and retain the best talent because professionals spend less time on mechanical, repetitive tasks. For all these reasons, beginning this year, Ventana Research’s Office of Finance...

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        Topics: Office of Finance, Continuous Planning, Business Planning, digital finance, supplier relationship management, Continuous Supply Chain & ERP, Generative AI, Procure-to-Pay

        We’ve been saying for years that natural language processing (NLP) and natural language analytics would greatly expand access to analytics. However, prior to the explosion of generative AI (GenAI), software providers had struggled to bring robust natural language capabilities to market. It required considerable manual effort. Many analytics providers had introduced natural language capabilities, but they didn’t really resonate with enterprise requirements. They required significant effort to...

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        Topics: business intelligence, Artificial intelligence, natural language processing, Analytics & Data, Generative AI, GenAI

        With Ventana Research’s 2024 Digital Business Market Agenda, we continue the guidance we have offered for two decades to help enterprises derive maximum value from digital business technology investments. Through our market research and expertise, we identify trends and best practices and share insights on how to achieve technological effectiveness, particularly in key processes and systems to engage the workforce.

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        Topics: Performance Management, Digital Business, Digital Communications, Work Management, Experience Management, Sustainability and ESG, Generative AI, Digital Applications, Digital Operations, Digital Intelligence

        Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence, continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.

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        Topics: Artificial intelligence, natural language processing, Generative AI, Computer Vision, Model Building and Large Language Models, Deep Learning

        The pandemic laid bare the tenuous relationship between many contact centers and their agents. The abrupt shift to remote work was just one component of the changes still under way. The past four years have also seen enterprises reckoning with questions about how to hire, what to pay their employees, what skills are needed and how an avalanche of new technology will change their operations. 

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        Topics: Customer Experience, Contact Center, Knowledge Management, agent management, Intelligent Self-Service, Generative AI, GenAI

        This title plays on the now-ancient meme from the 1990s: “On the internet, nobody knows you’re a dog,” which pointed to a challenge of anonymity posed by new technology. In this case, though, I’m using it to highlight an opportunity that generative artificial intelligence presents in streamlining routine business functions that require some level of individual skill and experience to handle. Ordinary contracts are just one example of work products that require humans to create, edit, analyze,...

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        Topics: Office of Finance, Digital Technology, digital finance, robotic automation, Generative AI, AI and Machine Learning
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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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