This article is a summary of our latest workshop, which was conducted by one of our AI consultants, Adrien, specialized in machine learning.
The Future of AI, Data, and Software : Insights from Luxembourg
- What is Data ?
- Data Landscape: We explored the data landscape to understand how different components interact with each other, and the various roles and responsibilities within the ecosystem. This foundation is crucial for building and implementing effective data strategies.
- What is AI ?
- AI and Machine Learning:We demystified AI, highlighting its broad definition and the differences between machine learning, deep learning, and large language models (LLMs). While LLMs have limitations, they are revolutionizing the field of software development.
- The Future of Software and Jobs
- Part 1 – Innovation and Job Creation : History shows that innovation and simplifying processes don’t reduce jobs, but instead increase the complexity of use cases and require more people to work on them. Consider the calculator: We moved from manual logic and slow calculations performed by mathematicians, to manual logic aided by calculators, to fast calculations with integrated logic through programming languages. Each step simplified the process, but simultaneously increased the complexity of what we could achieve (imagine having enough mathematicians to perform a 1,000,000-particle simulation by hand !).
- Part 2 – Shifting Landscapes and Skill Sets : As the industry evolves, we may see a shift away from reliance on single, large companies providing proprietary solutions, and towards a more open-source ecosystem. Historically, big companies dominated the market due to concerns around security, stability, and performance in open-source alternatives. However, the tables have turned, and today’s concerns are more focused on the vendor lock-in and predatory practices of large companies. In this new landscape, we’ll see a proliferation of smaller, company-specific projects and a growing demand for specialized skills. To thrive, professionals will need to move beyond the “tech bro” mindset and develop a deeper understanding of software development and architecture, as well as a passion for continuous learning and improvement.
The Death of the Internet Theory : With an estimated 50% of internet traffic already generated by bots in 2022, we discussed the implications of a rapidly changing online landscape and the potential devaluation of the internet.
- Luxembourg future
- Luxembourg’s AI Future : Emerging Opportunities :We envisioned a future where companies in Luxembourg develop internal AI teams to tackle low-risk, high-impact projects, gradually moving to more complex initiatives. This will create new opportunities for professionals to work on exciting projects and drive innovation in the region.
- Luxembourg’s Data Future : Legacy Systems and Specialized Solutions : On the data side, we expect a slow migration from legacy software to modern and potentially specialized solutions like TigerBeetle for transactional databases. This shift will require companies to adapt and evolve their data strategies, creating a need for professionals with expertise in these areas.
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