Syncsort
- Syncsort is headquartered in Pearl River, New York Trillium Software is headquartered in Burlington, Massachussets,
- 1969
- 500
- Website
About
Syncsort, the global leader in Big Iron to Big Data software, organizes data everywhere, to keep the world working – the same data that powers machine learning, AI and predictive analytics. We use our decades of experience so that more than 7,000 customers, including 84 of the Fortune 100, can optimize traditional data systems and deliver mission-critical data to next-generation analytic environments, quickly extracting value from their data anytime, anywhere. Our products provide a simple way to optimize, assure, integrate, and advance data, helping to solve for the present and prepare for the future. The integration portfolio brings together market-leading data quality and data integration technology to deliver value at scale in the most demanding enterprise environments. The combination of Syncsort’s data integration products and Trillium Software enables enterprise customers to seamlessly harness all their valuable data assets for greater business insights, applying high-performance and scalable data movement, transformation, profiling and quality across traditional data management technology stacks and emerging Hadoop and cloud environments.
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Something About AI Still Doesn’t Feel Right
Something About AI Still Doesn’t Feel Right
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action