Blog Unpacking Gen AI: Demystifying the Current Artificial Intelligence Landscape
By Carmen Taglienti / 26 Sep 2023 / Topics: Data and AI Analytics Generative AI
By Carmen Taglienti / 26 Sep 2023 / Topics: Data and AI Analytics Generative AI
With 72% of professionals reporting they plan to adopt generative AI technologies to boost productivity across their organization,1 it’s clear there’s immense buzz around the emerging popularity and viability of generative AI. But for some, this new technology has created additional confusion: What are all these AI technologies, and what can you reasonably expect from them in a business context? AI has a variety of applications across industries and can be leveraged for benefits to productivity, operational efficiency, and improving employee or customer experiences. Let’s unpack all the types of AI and how your business can benefit.
Artificial intelligence is part of a larger group of technologies that organizations can leverage for immense benefits. Here’s a breakdown:
Part of the AI conversation is the concept of models, which have different specializations to enable solutions like generative AI. Models are the algorithms that allow these solutions to learn and then predict, make decisions or generate content. ML technologies specifically are designed to learn from previous outputs/results and optimize over time. This is why generative AI in particular is revolutionary: It’s not only able to generate content, but theoretically, it will only get better at doing so with time. Here are some examples of models:
With so many ways to tap into AI solutions, there is a wide range of possible applications for every organization. Tapping into these technologies doesn’t just improve internal efficiency or customer experiences, it can also be critical to establishing differentiation from competitors. With solutions ranging from machine learning to generative AI, organizations can choose more mature technologies and/or branch out as early adopters for even higher potential ROI.