Accelerating AI Innovation
Fujitsu / April 26, 2023
AI is rapidly becoming a critical catalyst, driving innovation, transformation and competitiveness.
Recently, the introduction of highly capable Large Language Models (LLM), such as GPT 4.0, has opened new possibilities to create competitive advantage and innovative customer services using AI.
Indeed, Bill Gates recently described GPT-like technology as being “as revolutionary as mobile phones and the internet” (https://www.gatesnotes.com/The-Age-of-AI-Has-Begun).
As interest in AI inevitably heightens, a growing number of organizations are now starting to integrate AI into new generation solutions and services.
So, how can organizations accelerate the pace of their AI implementation, and how can Fujitsu help?
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The AI market
The 2022 McKinsey Global AI enterprise survey revealed that 65% of organizations are expecting to increase their AI investment over the next three years. This rapid adoption will inevitably increase the general pressure to develop new AI capability as organizations strive to remain competitive. The survey also suggested that organizations who have already adopted AI are expected to double their use of AI over the next four years.
The arrival of new LLM is rapidly increasing both user and investor expectations, placing further pressure on organizations to introduce smarter, more innovative, more powerful solutions and services, based on AI technologies.
Mainstream adoption
For some time, early market adopters have recognized the potential of AI adoption to create new competitive advantage.
Microsoft recently announced Copilot, a new AI assistive technology based on GPT and ChatGPT. Significantly, Microsoft intends to integrate Copilot into its most popular services, including Microsoft 365. This will result in over a million organizations, who currently use Microsoft 365 every day, becoming AI users.
The arrival of Copilot later in 2023 will effectively signal the start of AI mainstream adoption, a move that will inevitably change how organizations view their own AI adoption plans.
To date, the pace of adoption has been driven largely by the desire to gain competitive advantage. However, with the advent of mainstream adoption, enterprises will need to adopt AI just to remain competitive. AI innovation and investment will become a necessity for organizations who want to maintain their competitive edge.
Adoption driven by digital disruption
Digital disruption is driving the pace of AI adoption. As early adopters exploit AI to create new more innovative and competitive solutions and services, this will inevitably disrupt the competitive position of other market players.
Given it’s generally better to be the disruptor than the disrupted, many organizations will innovate proactively in order to gain competitive advantage. Similarly, many organizations will need to innovate with AI at speed in response to the digital disruption created by their competitors.
For example, in the Manufacturing sector, we’re already seeing the introduction of automated visual quality inspection techniques, powered by AI, driving new levels of competitiveness, for example by improving inspection productivity and accuracy, whilst reducing associated labor costs.
