Applied Artificial Intelligence: An Introduction For Business Leaders

by Mariya Yao

generation products to generate ad copy that increases click rates, while Sales may want to use the same product to create sales pitch email headers that prospective customers will actually want to read.

Personalizing the product selection that you show to customers results in an improved experience for them and higher revenue for you.

Your company will need accurate analytics to pinpoint your most likely customers, compelling messages to convert interest into orders, and diligent tending of existing relationships in order to build product and brand loyalty.

Applying sentiment analysis to sales correspondence, for example, can filter through replies to predict the interest level in a potential customer and to pinpoint the best leads.

By applying machine learning techniques to all of your sales data, including email content, call transcripts, and CRM engagements, you can train a model to predict which specific actions are likely driving her superior conversions and revenue.

Currently, companies primarily rely on two models to incorporate conversational agents into customer service: the “bot-only” model and the “bot-assisted agent” (or “cyborg”) model. In the former model, a conversational computer program interacts directly with a customer without human intervention, while in the latter model, the bot advises the agent on the best course of action or automates agent functions such as knowledge searches.

Sentiment analysis, either using purely statistical methods (less accurate) or machine learning and deep learning methods (significantly more accurate), can gauge the general mood surrounding conversations that your company care about.

In order to pass the best leads to your sales teams, you will need to be able to identify the characteristics and behaviors of your most lucrative customers early.

Intelligent investments in your workforce can increase the likelihood that advanced automation increases productivity while ensuring high levels of employment and shared prosperity.

Accenture now provides effective retraining programs for its own workforce by leveraging machine learning on resumé content. Algorithms assess whether and when

the listed skills may become obsolete, then provide HR with recommendations of skills adjacent to current competencies that workers should acquire.(98)

jobs in industries that require complex human interactions and high levels of emotional intelligence, such as those in healthcare and education, will be the least in danger of being automated.(103)

Given how quickly technology evolves, you will need to stay vigilant and regularly assess how the AI systems that you are building affect your customers, employees, and society. No profit margin is worth the cost of harming humanity.