Increasingly, AI is descending deeper and deeper into the bedrock of today’s digital products. The days have passed where AI lingered near the surface of a digital product’s vast pool of capabilities and innovations.

This new report, co-created by Emerj and NLP Logix, explores the growth many companies experience as they mature in their approaches and applications of AI in their digital products, as well as use-cases that will serve as examples to organizations as they chart their own AI journeys.

In this 11 page report, you’ll gain insight on:

1. The AI journey: Looking before you leap

Examine the evolution of AI projects within enterprises, from early-stage projects that look to AI for supplemental, bolt-on solutions to mature AI projects that integrate AI into the heart of the digital products it supports and creates.

2. Starting Out Small with AI

For companies in their earliest stages of AI adoption there is  a lot of value in starting slowly. By starting slowly, companies can learn about the data they have collected and the possibilities it offers. They can also begin to flesh out what is not possible at this early stage.

3. The Call of Larger AI Projects

What drives companies to take on bigger AI and ML projects, risk more resources, and wade into the potentially unfamiliar waters of integrating AI technologies deep into their digital
products?

4. AI and ML use cases: Real-world applications

Examine three use-cases that span computer vision, RPA (robotic process automation), and OCR (optical character recognition) technologies and show how these tools helped organizations solve their problems.