Signals Analytics
- 1325 Avenue of the Americas, NY, NY 10019,
- 2009
- 200
- Website
About
Signals Analytics' configurable data platform is a data fabric that connects and classifies countless rich, external sources into unified contextual data, and augments analytic applications with unparalleled accuracy and scale. Patented machine learning, NLP and data automation technologies leapfrog traditional approaches of data collection and management to help organizations maximize the impact of advanced analytics and harness the power of external data to drive successful business outcomes. Business users, consumer and market insights teams and data & analytics organizations leverage the platform to surface powerful trends and predictive insights and benefit from business-ready applications and integrations of the data into their business intelligence environments. Trusted by an impressive roster of global brands including Procter & Gamble, Nestle, Johnson & Johnson, Bayer, Roche, Mars and others who experience higher sustainable growth, faster time to insight and other data-driven benefits, Signals Analytics is redefining the world of market intelligence. For more information visit www.signals-analytics.com.
Areas of expertise
Published content
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