AMPLYFI Insights

AMPLYFI’s AI-ness Index Part One: Introduction

By July 7, 2021 July 14th, 2021 No Comments

AI is becoming increasingly integrated into everyday life. In much the same way that companies are increasingly being judged on their environmental, social, and corporate governance (ESG) performance, a strong association with AI is increasingly shaping how they are perceived by markets, investors, and consumers.

Download for insights into:

  • The technology behind AMPLYFI’s Index for measuring company involvement in AI.
  • Analysis of companies’ AI credentials using the index.
  • Which companies are identified as frontrunners in the AI field, unexpected company associations to AI and how the industry is predicted to unfold going forward.

About the index

A benchmark for pinpointing cutting edge innovation capabilities, whether as a developer or user of AI, has until now been hard to objectively quantify. To overcome this, AMPLYFI has developed an index that uses supervised machine learning to quantify the extent to which an organisation is involved in or associated with AI (either as a developer or incorporating it into their technology stacks or service offerings). Called the ‘AIness Index’, its purpose is to provide investors and other stakeholders with an unbiased and statistically quantified view of companies and the strength of their associations with AI. With the world currently generating an estimated minimum of 2.5 quintillion bytes of data each day, the extent to which companies harness AI to create value from data is increasingly an indicator to their likely success and competitiveness.

Unlike the vast majority of market indexes that require large teams of researchers to collate and process documents, AMPLYFI’s AIness Index uses machine learning to automatically quantify organisations’ credentials in this space. A suite of AI algorithms including natural language processing (NLP), pattern recognition, topic modelling, and entity identification, spots connections between companies and activity related to AI.

Our machine-driven analysis provides a comprehensive, objective, and unique view of the AI landscape as it stands today and as it unfolds going forward. The first of a two-part series, Part One of the index explores the technology and scores for companies across the scope of the index.