Analyst Perspectives

It has been a little over a decade since the term data operations entered the analytics and data lexicon. It describes the application of agile development, DevOps and lean manufacturing by data engineering professionals in support of data production. DataOps was initially seen as antithetical to traditional data management approaches, which typically included batch-based and manual tools and practices. The term was embraced by emerging software providers as a means of differentiating from...

Natural language interfaces for business intelligence products existed long before the emergence of generative artificial intelligence. Large language models have allowed BI providers to accelerate the delivery of functionality to convert natural language questions into analytic queries and generate summarizations and recommendations from data and charts. Features that enable natural language query and natural language generation are now ubiquitous.

In a defining moment for the artificial intelligence (AI) sector, the recent breach involving Chinese company Liang Wenfeng (makers of DeepSeek AI) has shed light on the emerging cyber threats that challenge the industry. The reported incident revealed that DeepSeek AI had left its ClickHouse database accessible to the public, exposing over one million lines of log entry data. This data included chat histories, secret keys and other sensitive information. Further complicating matters, Microsoft...