[cs_content _p=’2970′][cs_element_section _id=”1″ ][cs_element_layout_row _id=”2″ ][cs_element_layout_column _id=”3″ ][cs_element_text _id=”4″ ][cs_content_seo]Recognized for turning fragmented data into measurable business outcomes for media, telco, and consumer technology companies in weeks, not months.\n\n[/cs_content_seo][/cs_element_layout_column][cs_element_layout_column _id=”5″ ][cs_element_text _id=”6″ ][cs_content_seo]DENVER, July 14, 2026 — DAS42, a Snowflake Elite Services Partner, today announced it has been named CIOReview’s Buyers Choice AI Data Cloud Solution of the Year for 2026. Most AI and data cloud providers start with the technology. DAS42 starts with the business outcome, using the data a company already has and improving it as priorities and needs evolve.\n\n[/cs_content_seo][/cs_element_layout_column][cs_element_layout_column _id=”7″ ][cs_element_text _id=”8″ ][cs_content_seo]AI changes is the economics of professional services\n\n[/cs_content_seo][cs_element_text _id=”9″ ][cs_content_seo]“If we’re doing technology just for technology’s sake, we’re in the wrong place. That’s been true since day one. What AI changes is the economics of professional services. Instead of trying to bill a ton of resources for an extended time, our job now is to get to the ultimate business outcome as fast and efficiently as we can — and get out,” said Susan Cook, CEO of DAS42.
\n\n[/cs_content_seo][cs_element_text _id=”10″ ][cs_content_seo]Identity resolution and audience enrichment on Snowflake drive a 65 percent lift in advertising revenue\n\n[/cs_content_seo][cs_element_text _id=”11″ ][cs_content_seo]The recognition highlights two client engagements as proof of that approach. In media and entertainment, DAS42 helped a leading real-time sports content provider build an identity resolution and audience enrichment solution on Snowflake, producing a 60 percent increase in lookalike audience identification and a 65 percent lift in advertising revenue. The engagement also opened a new line of business for the client, serving its own clients through performance-based ad management.
\n\n[/cs_content_seo][cs_element_text _id=”12″ ][cs_content_seo]Predictive models cut SLA risk and unnecessary site visits for a major telco provider\n\n[/cs_content_seo][cs_element_text _id=”13″ ][cs_content_seo]For a large telecommunications provider, DAS42 developed predictive models to assess service-level agreement risk, helping the client anticipate issues, optimize resource allocation, and avoid financial penalties. A related engagement built systems that determine whether network issues require on-site intervention or can be resolved remotely, cutting unnecessary costs while maintaining service quality.
\n\n[/cs_content_seo][cs_element_text _id=”14″ ][cs_content_seo]Smaller teams, sharper focus: why data services are shifting from scale to precision\n\n[/cs_content_seo][/cs_element_layout_column][/cs_element_layout_row][cs_element_text _id=”15″ ][cs_content_seo]The recognition also points to a broader shift in how data and AI services get delivered. As agent-driven automation reshapes data engineering and analytics workflows, smaller, more agile teams are replacing traditional large-scale services models with the emphasis moving from manpower to intelligence, and from scale to precision. DAS42 treats that shift as central to its own philosophy: deliver value quickly, stay adaptable, and hand clients ownership of their data rather than dependence on outside consultants.
The full feature is available on CIOReview.com.\n\n[/cs_content_seo][/cs_element_section][/cs_content]