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        ISG Software Research Analyst Perspectives

        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

        Prophix launched its Prophix One platform earlier this year. CFOs of midsize enterprises should take a look at it because it supports a more effective approach to finance and accounting operations in growing companies. It facilitates the transition of organizations that can no longer make do with work-arounds of existing systems to those with formal, controlled core processes that can be completed faster with reduced risk. The platform performs financial consolidation, account reconciliation...

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

        Enterprises face a bewildering level of choice in relation to data platforms, as evidenced by the number of software providers and products assessed in our recent Data Platforms Buyers Guide. There are numerous data platform providers and products to choose from, but also a diverse array of functional and architectural options. Is the workload primarily operational or analytic? Will it be deployed on-premises or in the cloud? Should it be distributed or centralized? Data warehouse or data...

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

        OneStream offers a platform designed to serve the needs of accounting and financial planning and analysis (FP&A) organizations. The software handles financial close and consolidation, planning and budgeting, analysis and reporting. OneStream recently held its annual user conference, Splash, in Las Vegas. In attending this meeting, my focus was on progress the company has made in the areas of predictive artificial intelligence (AI) and generative AI (GenAI) over the past year, since the...

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

        I have written on multiple occasions about the increasing proportion of enterprises embracing the processing of streaming data and events alongside traditional batch-based data processing. I assert that, by 2026, more than three-quarters of enterprises’ standard information architectures will include streaming data and event processing, allowing enterprises to be more responsive and provide better customer experiences.

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        Topics: data platforms, Analytics & Data, Streaming Data & Events, AI and Machine Learning

        Having just completed our AI Platforms Buyers Guide assessment of 25 different software providers, I was surprised to see how few provided robust AI governance capabilities. As I’ve written previously, data governance has changed dramatically over the last decade, with nearly twice as many enterprises (71% v. 38%) implementing data governance policies during that time. With all this attention on data governance, I had expected AI platform software providers would recognize the needs of...

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

        The artificial intelligence and machine learning landscape was profoundly altered by the emergence of generative AI into the mainstream consciousness during 2023. The widespread availability of GenAI models and cloud services has lowered the barriers to individuals and enterprises engaging with AI for various use cases, including generating content, querying data, writing code, preparing data for analysis, documenting data pipelines and using software products more effectively. The impact that...

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        Topics: Analytics & Data, AI and Machine Learning

        Embracing artificial intelligence technologies opens doors for innovation and efficiency. Alongside these opportunities, however, come risks. Threat actors are keenly aware of the potential impact of AI systems and are actively exploring ways to manipulate them. In this Analyst Perspective, I explore the world of adversarial machine-learning threats and provide practical guidance for securing AI systems.

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        Topics: Digital Technology, Digital Security, Generative AI, AI and Machine Learning, DevOps and Platforms, Model Building and Large Language Models, Machine Learning Operations, NIST, Model Training

        ServiceNow is a global software provider that has developed a cloud computing platform that helps organizations manage digital workflows for enterprise operations. The provider uses its annual Knowledge user conference to educate customers and showcase product announcements. Ventana Research had the opportunity to attend the Knowledge 2024 event and provides this analyst perspective to summarize what transpired.

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        Topics: IT Service Management, Digital Technology, natural language processing, Digital Security, Field Service, Generative AI, AI and Machine Learning, Observability, Intelligent Automation, ITOps
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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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