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In more than a century of existence, IBM has played a major role in the emergence ofartificial intelligence. With notable achievements like Deep Blue and Watson, the technology giant has made its mark in the history of this discipline. Yet despite its significant legacy and continued efforts, IBM often takes a back seat to higher-profile companies like OpenAI and Google. Nevertheless, with a strategy focused on rigor and the creation of AI models adapted for businesses, IBM continues to carve out an important place for itself in the world of AI, proving that its discretion in no way reflects a lack of relevance.
IBM, with its more than 110 years of history, has played a crucial role in the development of artificial intelligence (AI). However, despite its significant contributions, the company often finds itself overshadowed by other tech giants like Google and Microsoft. This article explores key moments in IBM’s relationship with AI, how the company differentiates itself in a GAFAM-dominated landscape, and its strategies for adapting to new AI trends while remaining true to its heritage of rigor and seriousness.
IBM: Pioneer in Artificial Intelligence
IBM has left its mark on the history of AI on several occasions. Already in 1997, its system Deep Blue made his mark by beating chess grandmaster Garry Kasparov. Then, in 2011, IBM’s artificial intelligence Watson won the game show Jeopardy!, once again proving the company’s ability to innovate in the field of AI.
A Different Strategy Facing the Tech Giants
In 2022, while ChatGPT beats all popularity records, IBM seems to be falling behind the tech giants. But the company remains faithful to its principles, refusing to follow the frantic pace of GAFAM. Rather than producing massive and imperfect models, IBM focuses on smaller, well-documented models designed specifically for businesses.
The Importance of Transparency and Ethics
IBM launched its range of modelsAI Granite, which is distinguished by exhaustive documentation facilitating their audit. This approach contrasts sharply with that of other AI leaders who are often just large “black boxes”. Xavier Vasques from IBM France explains the importance for companies of being able to explain the decisions made by AI systems, especially in regulated sectors such as banking and insurance.
Risk Aversion That Pays
IBM, known for its seriousness, demonstrates welcome caution in the tumultuous world of AI. Rather than being carried away by spectacular announcement effects, the company favors sustainability and explainability, addressing a clientele hungry for robust and secure solutions.
A Legacy of Survival and Innovation
IBM has navigated successive technological waves, from mainframe systems to digital services. Although it failed to capture the general public with the microcomputer or web economy, the company successfully reoriented itself towards outsourcing, thus finding a way to persist despite major challenges.
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A Futuristic Vision
With a significant investment in research, exceeding $7 billion in 2023, IBM is banking on cutting-edge technologies, notably quantum, to strengthen its position. Its desire to stay ahead of the scientific scene shows the company’s constant commitment to innovation.
