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.
Partner, Head of Software Research
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 recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies. As I explained in the 2023 Data Orchestration Buyers Guide, today’s analytics environments require agile data pipelines that can traverse multiple data-processing locations and evolve with business needs.
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 positive outcomes.
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. It can also create an ongoing maintenance burden. On the other hand, a consolidated platform may not be integrated well enough itself and may not be open to use with other components. SAP recently announced a series of enhancements and upcoming capabilities for its SAP Business Technology Platform data and analytics products to help address some of these. In our most recent Analytics and Data Buyers Guide SAP was rated Exemplary and an overall leader. In our Data Operations Buyers Guide, SAP was also rated Exemplary.
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 necessary to ensure data is integrated and processed in the sequence required to generate business intelligence (BI) and support the development and deployment of applications driven by artificial intelligence (AI).
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 more effectively. More than three-quarters of enterprises are using or plan to evaluate GenAI across these different types of usage. As I’ve written previously, natural language analytics may finally become a reality.
Cloud computing has had an enormous impact on the analytics and data industry in recent decades, with the on-demand provisioning of computational resources providing new opportunities for enterprises to lower costs and increase efficiency. Two-thirds of participants in Ventana Research’s Data Lakes Dynamic Insights research are using a cloud-based environment as the primary data platform for analytics.
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.