Our expertise comes from our research that is not found anywhere else in the industry. It can help you make Generative AI impactful to your enterprise. Consider these insights as you look to assess and improve your Generative AI efforts.
Using our research, best practices and expertise, we help you understand how to optimize your business processes using applications, information and technology. We provide advisory, education, and assessment services to rapidly identify and prioritize areas for improvement and perform vendor selection
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Services for Technology Vendors
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Our expertise comes from our research that is not found anywhere else in the industry. It can help you make Generative AI impactful to your enterprise. Consider these insights as you look to assess and improve your Generative AI efforts.
Generative AI is the ability to generating text, images and voice to provide human experience with technology across mediums to support the digital workplace and the modernization desired.
While all enterprises are using some type of AI in their digital technologies, a very small portion are using generative AI and human experiences to their applications and systems.
To ensure the efficient engagement of the workforce to the applications and systems requires making them more human and easier to interact with in their operations.
Consulting where we deliver expert guidance with our experience, expertise and market research through workshops and assessments for better business outcomes.
Advisory through our proactive and informed expert advice and insights for optimization of decisions through our Ventana On-Demand service designed for value every month of the year.
Research enables insights from our industry analyst team and market research with our Benchmark Research, Dynamic Insights and Value Index research products that provide facts for decisions.
Education in a range of business, technology and vertical industry topics through our publishing of digital content in mediums and styles for impactful insights across an entire organization.
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.
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.
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.
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 practical and attractive option for companies with between 500 and 2,500 workers.
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 announcements from the event as they relate to Google Cloud’s Vertex AI development platform and the Gemini multimodal large language models (LLMs), as well as Gemini-based GenAI assistants. In this perspective, I’ll take a closer look at Google Cloud’s progress as it relates to the company’s various data platforms, as well as the Looker analytics platform.
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 environment for monitoring the quality and reliability of data. Maintaining data quality and trust is a perennial data management challenge, often preventing enterprises from operating at the speed of business.
We provide insights and guidance across business and technology. We can help your organization; the first step is to reach out to a member of our team and see how we can help.