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        Ventana Research Analyst Perspectives

        I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had...

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

        Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation. This has led to various “operations” or “Ops” initiatives, each focusing on a specific aspect of enterprise IT. From software development and data analytics to IT and cloud management, these Ops groups are transforming the way enterprises operate and compete.

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        Topics: Analytics, Cloud Computing, Digital Technology, data operations, digital finance, Digital Security, Observability, Analytic Operations, DevOps and Platforms, ITOps, CloudOps, Machine Learning Operations, MLOps, SecOps, ProjectOps, AIOps, NetOps, DevSecOps, SecFinOps

        I wrote recently about the role that data intelligence has in enabling enterprises to facilitate data democratization and the delivery of data as a product. Data intelligence provides a holistic view of how, when, and why data is produced and consumed across an enterprise, and by whom. This information can be used by data teams toensure business users and data analysts are provided with self-service access to data that is pertinent to their roles and requirements. Delivering data as a product...

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        Topics: Analytics, Data Ops, data operations, data platforms, Analytics & Data, AI and Machine Learning, GenAI, Data Intelligence

        Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out, a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a consolidated platform. For example, purchasing, integrating and deploying a variety of tools can be complex....

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        Topics: Analytics, AI, data operations, Analytics & Data, Generative AI, Data Intelligence

        The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies, enabling enterprises to extract data from the operational applications and data platforms designed to run the business and load, integrate and transform it into the analytic data platforms and tools used to analyze the business. As I explained in our recent Data Pipelines Buyers Guide, data pipelines are essential to generating intelligence from data. Healthy data pipelines are...

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

        As enterprises seek to increase data-driven decision-making, many are investing in strategic data democratization initiatives to provide business users and data analysts with self-service access to data across the enterprise. Such access has long been a goal of many enterprises, but few have achieved it. Only 15% of participants in Ventana Research’s Analytics and Data Benchmark Research say their organization is very comfortable allowing business users to work with data that has not been...

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

        Smart manufacturing is a strategic operating approach that aligns advanced manufacturing technology with system and process design principles to promote adaptability. It is a digital, event-driven, collaborative orchestration of physical and digital processes designed to increase productivity, efficiency, adaptability and resilience. These systems use technologies to coordinate the planning and execution of even disparate operations within factories and across an entire manufacturing supply...

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        Topics: Continuous Planning, S&OP, Operations & Supply Chain, supply chain management, Manufacturing, Continuous Supply Chain & ERP, Smart Manufacturing

        In the technology industry, 2023 will be remembered as the year of generative artificial intelligence. Yes, the world was made aware of GenAI when ChatGPT was publicly launched in November of 2022, but few knew the impact it would have at that point in time. Since then, GenAI has taken the world by storm, with vendors applying the technology to make it easier to ask questions about data, write code (including SQL), prepare data for analyses, document data pipelines and use software products...

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        Topics: Artificial intelligence, Analytics & Data, Generative AI, AI and Machine Learning, Model Building and Large Language Models

        The workforce of today has been very clear with their needs, wants and expectations. They need to feel seen, valued, heard, included and empowered. They want to work in an organization that feels like a community and aligns with their personal value systems. Importantly, they expect access to technology and to be developed and supported as they navigate their careers.

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        Topics: Human Capital Management, Learning Management

        Artificial intelligence seems poised to change everything, although naturally a great deal of attention tends to be paid to the cool things it makes possible. AI can also make the humdrum less tedious and even transform the dullest of back-office operations into something more meaningful. For example, AI can take accounts receivable automation to the next level. 

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        Topics: Office of Finance, AI, digital finance, AI and Machine Learning, 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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