Introduction
Businesses will have to become AI-first.
Infosys is amid a strategic program
to become an AI-first company,
based on three key objectives.
No firm can afford to ignore AI, and many are already deploying it in some way. In our 2022 Data + AI Radar report, we found that more than 80% of the 2,500 practitioners surveyed had deployed their first AI model into production within the last five years (Figure 3).
Every business will have to become AI-first. At Infosys, we are amid a strategic program to become an AI-first company, based on three key objectives:
Infosys has also launched Topaz, an AI-first set of services, solutions, and platforms using generative AI technologies that will accelerate this metamorphosis, while delivering significant value to our clients as well.
At the heart of this transformation is the explosion of generative AI use cases, based on large language models and foundation models.
Foundation models are typically self-supervised (not requiring labeled data), large (billions of parameters), pre-trained, generalized (not specific to a task) and adaptable (through prompts). They can be fine-tuned for specialized domains and tasks and improved with continuous human feedback. Large language models such as GPT-4 are a type of foundation model that have been used to build consumer AI products.
These models have led to an explosion of generative AI tools that can create text, code, images, video, audio and 3D models. We are also seeing the emergence of multi-modal models that can operate across a number of mediums such as text and images, and multi-language models that can understand and operate across several languages. All these are available either as open models or closed models.
At Infosys, we view AI in two broad categories: core AI engineering and applied AI.
Core AI engineering focuses on the identification, fine- tuning, and deployment of models, application programming interfaces (APIs), and platforms in a responsible manner.
Applied AI uses these services to build products, from demand planning and code refactoring to document analysis and helpdesk self-service.
As we discuss in this Tech Navigator, businesses that aim to become AI-first need to reimagine experiences and processes, operating models, and talent acquisition.
They should establish a robust responsible by design framework for ethical AI usage.
In short, an AI-first organization puts AI at the heart of everything it does, from hiring talent to delivering products and services.
Source: Infosys
