I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Learning Management Systems: Ventana Research Buyers Guide is the distillation of a year of market and product research by Ventana Research.
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Topics:
Human Capital Management,
Learning Management
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Cloud Computing Platforms Ventana Research Buyers Guide is the distillation of a year of market and product research by ISG and Ventana Research.
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Topics:
Cloud Computing,
Digital Technology
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Subscription Management: Ventana Research Buyers Guide is the distillation of a year of market and product research by ISG and Ventana Research.
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Topics:
Subscription Management,
Office of Revenue
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
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Data Platforms Ventana Research Buyers Guide is the distillation of a year of market and product research by ISG and Ventana Research.
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Topics:
data platforms,
Analytics & Data,
operational data platforms,
Analytic Data Platforms
I previously wrote about the ongoing importance of event brokers and event management in enabling enterprises to adopt event-driven architecture and event stream processing. Many enterprises adopt EDA as the design pattern for maximizing events to deliver real-time business processes. There are many advantages to using EDA, including a cultural shift away from batch processing towards real-time analysis and decision-making.
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Topics:
Analytics & Data,
Streaming Data & Events,
Data Intelligence
I previously wrote about the potential for generative artificial intelligence technology to enhance the integration sector by facilitating outcome-driven approaches for automatically generating integration pipelines in response to declared business requirements. The use of GenAI in data and application integration remains nascent, but multiple software providers are embracing the potential for GenAI to improve the productivity of integration experts and facilitate self-service integration by...
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Topics:
Analytics & Data,
Data Intelligence
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
I recently wrote about the role data observability plays in generating value from data by providing an environment for monitoring its quality and reliability. Data observability is a critical functional aspect of Data Operations, alongside the development, testing and deployment of data pipelines and data orchestration, as I explained in our Data Observability Buyers Guide. Maintaining data quality and trust is a perennial data management challenge, often preventing organizations from operating...
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Topics:
data operations,
Analytics & Data,
Data Intelligence
Self-service has changed immensely in recent years. It has gotten better, qualitatively, in delivering answers and resolutions to customers. But it has also gotten extremely complex, relying on a basket of new technologies to achieve results. It helps to look at it through the eyes of the three main constituencies that are affected by it: customers, contact centers and the businesses they sit in.
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Topics:
Customer Experience,
Contact Center,
Customer Experience Management,
Intelligent Self-Service