First things first: Why do you need an AI consultant? Before finding the right AI consultant, you need to define your goals and expectations. What
AI Maturity Level assesses your organization’s readiness to adopt AI, providing clear indications of what your AI strategy should support at any stage of the your Ai journey.
Changing 5 words in our AI strategy will increase our success rate of onboarding AI.
Can AI think for itself? Yes.
To understand why and avoid confusion, we need to look at human thinking and what it means for us to think for ourselves.
By focusing on three things, excitement, cooperation and problem solving.
When designing an AI strategy, it’s crucial not only to prioritize people impacted by AI onboarding, as advocated in the people-first approach. Instead, our focus should be on the human-like qualities shared by both AI and humans. This connection is what binds us together! To simplify this concept, I’ve chosen to illustrate it using popular AI sales tools.
Let’s see how Gong.io would introduce itself if it were human like you and me. It’s a fun read, but the point is to help us envision its full potential and impact when onboarded into our team.
Let’s see how HubSpot would introduce itself if it were human like you and me. It’s a fun read, but the point is to help us envision its full potential and impact when onboarded into our team
It’s the most practical approach to prepare for the future. As we all know, the working environment will be about humans and technology working together to achieve business goals.
Let’s take the first step in building our AI strategy by answering the following question: Should we pursue a Unified or Team-Specific AI strategy?
AI strategy is not about using or not Using AI
It’s about how we adopt It into our organizations.
Numbers help us put things in perspective.
Let’s take a look at the numbers for AI and see what they mean.
