Video: The steps to launching AI in your organization
Automation technologies -- from AI to robotic process automation (RPA), physical robotics, and more -- are transforming business processes and operating models. But most companies don't have the competencies to implement automation technologies successfully. And so we created RQ -- the robotics quotient[1] -- to help digital and technology leaders make better investments in the prerequisites to success with automation, AI, and robotics.
Read also: Your next coworker could be a robot[2]
RQ measures the ability of individuals and organizations to learn from, adapt to, collaborate with, trust, and generate business results from automated entities, including software like RPA, AI, physical robotics, and related systems. Across more than nine months of research, what Forrester learned from enterprise organizations is this: People, leaders, and organizations must all bring something to the table when preparing to deploy AI or automation. And the competencies of those people, leaders, and organizations must be refracted through the lens of trust, which varies by technology. We call this the PLOT framework.
The PLOT framework is key to self-assessing areas for improvement. In our self-scoring tool (which is an Excel spreadsheet embedded inside the report), clients can assess RQ across 39 different dimensions, scoring a current state and a desired (yet plausible within 6 to 12 months) state. Using this tool, you can identify the areas that need most improvement and the organizational competencies you need to acquire in order to succeed with RPA, AI, DPA, physical robotics, and the like.
People require emotional, logical, and technical skills. Our people evaluation derives not only from interviews and data but from 30 years of research into emotional intelligence (EQ) as applied to human-machine interactions. People