Productivity

Activity & GeoEconoMetrics

Years ago, we knew the day would come when executives everywhere would need to gain access to new kinds of data and information. As pioneers of information technology, we identified need to measure knowledge worker performance to understand the impact that technology and information can have on business performance. To obtain the kind of information executives would need, we knew we would have to collect activity, geographic, and economic data from knowledge workers across all industry and market segments. Since geographic location has a significant bearing on the information we gathered, we knew the data and information had to be global.

As we pioneered the Digital Asset Management (DAM) market with leading companies like Apple, IBM, Microsoft, Oracle and hundreds of solution providers throughout the world, we collected data from millions of different types of knowledge workers. To get an idea of the kinds of data collected, check out the data illustrated to the left. What is interesting is that this data dates back 20 years. Now imagine what we have today. The fact that we have been backtesting our data for 30 years should tell you something important. You can't develop valuable insight overnight. Really good data needed to power AI takes years and huges resources to develop.

AI & Corporate Productivity

To optimize business performance, core baseline data needed to value worker effectiveness across all business departments and segments must be developed to model and measure business output. Need for predictive performance metrics are especially important as corporations role out AI across their organizations. This is a major reason why Activity & GeoEconoMetric data is so important and needed to measure business value creation.

Need to adopt advanced technologies in the coming years will continue to grow. Data models we have developed over four decades can be customized to create the foundational data that corporations need today to power AI. Our historic source data has been used for years to model performance of thousands of corporations. To bridge traditional ways of thinking to create more efficient business practices, organizations must modernize operations to speed up innovation. Need to create breakthroughs to bring new innovations to market will speed up as businesses learn how to optimize operations. We can help by providing businesses with the intelligence they need to improve decision-making and to develop strategy to grow revenues by turning concepts into new products and services.

AM-GEM leverages decades of development in AI to optimize business operations.