I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The AI Platforms: Ventana Research Buyers Guide is the distillation of a year of market and product research by Ventana Research.
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Topics:
AI,
Generative AI,
Machine Learning Operations
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
Until recently, dedicated consolidation software had been a sleepy category. First introduced in the 1980s as a tool designed to run on personal computers (freeing the accounting department from reliance on its IT department), offerings basically achieved feature and function parity by the next decade. The last major technology innovation—moving the software to the cloud—began in the mid-2000s. Cloud-based software reduces the cost and complexity of ownership, making dedicated software a more...
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Topics:
Office of Finance,
ERP and Continuous Accounting,
digital finance,
Generative AI,
Consolidate and Close Management
The emergence of generative artificial intelligence (GenAI) has significant implications at all levels of the technology stack, not least analytics and data products, which serve to support the development, training and deployment of GenAI models, and also stand to benefit from the advances in automation enabled by GenAI. The intersection of analytics and data and GenAI was a significant focus of the recent Google Cloud Next ’24 event. My colleague David Menninger has already outlined the key...
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Topics:
Analytics,
AI,
natural language processing,
data platforms,
Generative AI,
AI and Machine Learning
I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies as well as the importance of data orchestration to accelerate analytics and artificial intelligence. As I explained in the recent Data Observability Buyers Guide, data observability software is also a critical aspect of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an...
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Topics:
Analytics,
data operations,
Analytics & Data,
Generative AI,
AI and Machine Learning,
Machine Learning Operations
Oracle held an industry analyst summit recently where the focus was on artificial intelligence (AI) and embedded AI. At the event, Oracle demonstrated progress in adding useful AI-enabled capabilities to its business applications, especially in finance and accounting, supply chain, HR and revenue management. To put this into context, across the software industry, AI is already at work in many finance-focused applications that are currently available, albeit often in limited release. We are in...
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Topics:
Office of Finance,
Analytics,
Business Planning,
ERP and Continuous Accounting,
digital finance,
Generative AI,
AI and Machine Learning,
Procure-to-Pay,
Order-to-Cash,
Consolidate and Close Management
We’re quickly approaching the moment when it becomes clear that artificial intelligence (AI) and generative AI (GenAI) will not be free. As that happens, we will discover who’s willing to pay how much and for what. After nearly 18 months of unlimited use-case fantasizing, it should be obvious that not all the potential applications of AI can be realized over the next three to five years because they fail a cost/benefit test. In theory, AI’s potential is almost limitless, but so far, little...
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Topics:
Office of Finance,
Analytics,
Business Planning,
ERP and Continuous Accounting,
digital finance,
Generative AI,
Procure-to-Pay,
Order-to-Cash,
Consolidate and Close Management
The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI. My colleague Rob Kugel has written about how AI can improve productivity and benefit the...
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Topics:
AI,
natural language processing,
Analytics & Data,
Generative AI,
AI and Machine Learning
Analytics software is used by business analysts and decision-makers to facilitate the generation of insights from data. It encompasses business intelligence and decision intelligence software, including reports and dashboards as well as embedded analytics and the development of intelligent applications infused with the results of analytic processes. Analytics software enables enterprises to improve business outcomes by operating more efficiently, accelerating product development and enhancing...
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Topics:
Analytics,
AI,
Analytics & Data,
Generative AI