AI as the Next Computing Platform

Generative artificial intelligence (AI) has gained immense popularity due to its ability to create new stories, code, images, music, and video based on a wide range of inputs. While the eye-catching results are impressive, the underlying process of AI as a computing platform holds strategic importance for organizations seeking business value.

The AI platform refers to the convergence of business requirements and software specifications at a rate faster than traditional, deterministic software workflows. Using generative AI, anyone within an organization can envision a new customer experience and utilize the AI platform to kickstart the building process. This platform has implications for teams, organizational needs, and customer experiences.

An example of the power of generative AI is illustrated by a gaming company’s CEO who envisioned a virtual concierge for personalized journeys across various gaming environments. Traditionally, testing such an idea would involve coordinating different industry silos and business models, which could be time-consuming and costly. By using generative AI, a prototype of an engaging animated avatar with a realistic voice was created within hours, enabling the CEO’s team to focus on building a new customer experience.

The potential of generative AI extends beyond the gaming industry. Companies in different sectors, such as online travel, retail, and consulting, are leveraging generative AI to improve trip planning capabilities, create marketing campaigns, and streamline business processes.

This trend reflects a larger pattern of enhanced human-computer interaction, better management of complexity, and improved data collection and management. These factors are essential aspects of an AI-based technology platform.

Technology platforms, including mainframe computers, personal computers, the World Wide Web, mobile devices, and public cloud computing, have transformed existing processes and birthed new industries. With each platform, the interaction between humans and computers has become more intuitive and seamless. The AI platform continues this progression, enabling increasingly sophisticated computation while maintaining human-computer interaction.

The power of AI lies in its ability to spot and leverage patterns. Pattern insight is crucial for scientific discoveries and innovation. Therefore, accurate and diverse data will be vital for success on the AI platform.

The potential of the AI platform will only expand, as employees and customers expect accurate information, efficient resource utilization, and personalized experiences based on contextual cues. This necessitates the development of more sophisticated AI programs, improved interconnectivity, data quality, and system efficiency by traditional software developers. Collaboration between developers, entrepreneurs, and specialized teams will drive the growth of the AI platform.

The AI platform is already being built by developers at major companies. These developers are exploring future environments that enhance existing implementations and architecture through coding prompts and model tuning. New AI features are quickly being adopted by businesses and consumers, reshaping the rate at which processes can be improved.

With knowledge spreading across industries and new teams and companies emerging to address the unique needs of the AI platform, the potential for AI to become the next computing platform is within reach. Hyperscale clouds are already provisioning backend systems and creating innovative solutions to meet the growing demand for AI processing.