I previously discussed the trust and accuracy limitations of large language models, suggesting that data and analytics vendors provide guidance about potentially inaccurate results and the risks of creating a misplaced level of trust. In the months that have followed, we are seeing some clarity from these vendors about the approaches organizations can take to increase trust and accuracy when developing applications that incorporate generative AI, including fine-tuning and prompt engineering. It...
Read More
Topics:
Analytics,
Business Intelligence,
Data,
Digital Technology,
natural language processing,
data operations,
Analytics & Data,
operational data platforms,
Analytic Data Platforms
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research 2023 Data Observability Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to data vendors supporting the spectrum of...
Read More
Topics:
Data,
data operations,
Data Observability
The 2023 Ventana Research Buyers Guide for Data Observability research enables me to provide observations about how the market has advanced.
Read More
Topics:
Data,
data operations,
Data Observability
In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data. As well, analytics are becoming more and more intertwined with operations. More than one-fifth of organizations (22%) describe their analytics workloads as real time in our Data and Analytics Benchmark Research and nearly half (47%) of...
Read More
Topics:
Analytics,
Business Intelligence,
Data,
Digital Technology,
Streaming Analytics,
Analytics & Data,
Streaming Data & Events
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Data Orchestration Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to data vendors supporting the spectrum of...
Read More
Topics:
Data,
data operations,
Data Orchestration
The 2023 Ventana Research Buyers Guide for Data Orchestration research enables me to provide observations about how the market has advanced.
Read More
Topics:
Data,
data operations,
Data Orchestration
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Data Pipelines Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of Data...
Read More
Topics:
Data,
data operations,
Data Pipelines
The 2023 Ventana Research Buyers Guide for Data Pipelines research enables me to provide observations about how the market has advanced.
Read More
Topics:
Data,
data operations,
Data Pipelines
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 DataOps Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of DataOps....
Read More
Topics:
Data,
Data Ops,
data operations
I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data lakehouse architecture to improve the business value generated from the accumulated data.
Read More
Topics:
Analytics,
Business Intelligence,
Data Governance,
Data Management,
Data,
Digital Technology,
Analytics & Data,
Analytic Data Platforms,
AI and Machine Learning