In order to peruse this column, I was interested in understanding the impact of AI on businesses by 2024. Brace yourself for a less-than-impressive revelation.
Here’s the scoop: there’s currently a significant buzz and numerous optimistic projections in circulation. An article on TechTarget highlights “10 Artificial Use Cases in Manufacturing,” while another source delves into the broader topic of “The Increasing Use of Technology in the Manufacturing Industry.” Forrester, a reputable research firm, envisions the “future” landscape of AI in production. Additionally, a blog by a manufacturing team outlines the “manufacturing systems that are shaping the business.”
While these discussions are commonplace and potentially intriguing, they predominantly focus on the future rather than the present. So, what about the here and now? What can producers expect from the AI industry in 2024? Here’s the lowdown.
To Illustrate, It’s a Corporate Affair
Despite the hype surrounding AI, it remains predominantly a realm dominated by large corporations. While there are reports suggesting benefits for small businesses, the impact is somewhat superficial. Small enterprises may utilize basic AI tools for tasks like content creation or policy drafting. In contrast, industry giants such as Klarna are pouring substantial investments into developing AI chatbots to streamline operations, and Tesla is leveraging AI-powered 3D printers to enhance production efficiency. According to the Wall Street Journal, commercial interest in AI is rapidly escalating.
The trend is clear—AI is a major player in the business arena today. Although these advancements will eventually become more accessible and standardized, that reality is not imminent, especially within the next few months.
Tailored Solutions Define Today’s AI Development
While there is a plethora of software available for generating visual reports, crafting written content, or even devising recipes, the manufacturing sector currently lacks standout “apps” powered by AI. Significant strides in integrating AI functionalities into traditional manufacturing processes, ERP systems, order management, or inventory control software are yet to materialize. However, organizations with substantial budgets are collaborating with firms like Mobidev, Innover, Pleora Technologies, and others to develop customized AI models tailored to their internal operations and unique data sets.
These AI-driven solutions will eventually become integrated features within software suites utilized by a majority of companies. Nevertheless, for immediate AI integration in manufacturing processes, a bespoke approach is currently necessary.
AI in Manufacturing: Enhancing Existing Infrastructure
AI’s current role in manufacturing revolves around optimizing and upgrading existing systems rather than revolutionizing the production floor with novel technologies. For instance, AI is enhancing the querying capabilities of longstanding quotation tools, improving the adaptability of machines in sorting and palletizing tasks, and enabling greater autonomy in helicopter operations. Major brands are augmenting their machinery with sensors to monitor various parameters like vibrations, humidity, and temperature for predictive maintenance or self-correction purposes.
Both hardware and software components are undergoing enhancements driven by AI technologies.
Limits of Generative AI
Generative AI, while undoubtedly powerful, is still in its nascent stages. We are witnessing the initial phases of Large Language Model (LLM) development, characterized by model construction, testing, training, and crucially, validation. The infancy of Generative AI poses inherent risks such as errors, misinformation, and biases. Despite the recent release of models like GPT 3.x, AI programs today are built upon the foundation of Generative AI. OpenAI’s CEO, Sam Altman, and Nvidia’s CEO, Jensen Huang, anticipate the eventual realization of Artificial General Intelligence (AGI), a milestone that could revolutionize various industries.
AGI-driven robots and machines equipped with human-like capabilities could redefine tasks across sectors from administration to manufacturing processes on the shop floor.
The Road Ahead: A Glimpse into AI’s Future
The journey towards AI maturity is just commencing, with tech firms, software developers, and manufacturers investing significantly in this realm. For businesses seeking insights into upcoming AI trends, engaging with suppliers and attending industry events is paramount. Visiting trade shows and exhibitions such as the ones mentioned in the text provides a firsthand look at the cutting-edge technologies integrating AI into various applications.
For manufacturing professionals, interacting with industry stakeholders and witnessing AI innovations in action is crucial in navigating the evolving landscape of 2024.
