Welcome to our series on tech trends. We do this by combining our engineering approach with our experience. Enjoy this year's tech trends with a hint of engineering as we go into a new year. The digital world and business models are changing more quickly than ever thanks to breakthrough technology, particularly in artificial intelligence. It's an exciting moment to be alive.
- When predicting the state of the tech industry for 2023 last year, we identified a number of significant trends:
- The no-code/low-code movement kept democratising software development, Big Tech layoffs spurred conversations about productivity and the critical workforce,
- The fields of AI and machine learning kept growing.
Imagine that it is the end of 2023.Let's examine the other things that the prior tech trends blog post got correct.
Technology trends 2024: important conclusions
- AI is being commercialised in a number of fields, and its ethical application calls for careful consideration.
- AI-driven solutions are assisting businesses in making smarter, more data-driven decisions.
- The IT industry's next cultural shift, known as platform engineering, will turn cloud software into a well-oiled machine.
- Once more, pay attention to performance. With tools like WASM, Rust, or Zig, developers may create better serverless apps.
- Cybersecurity dangers are evolving, and yes, that includes you.
Commercialization of AI
Artificial Intelligence (AI) has been the most intriguing technological breakthrough for a few years now, causing waves in a variety of industries. Applications like Github-Copilot, OpenAI Dall-E 3, and ChatGPT 4 offer a preview of what's to come in 2024.
Could AI possibly be more exciting? Yes, it can. A bizarre story is developing while we are penning this blog entry. The CEO of OpenAI, the business that created ChatGPT, Sam Altman, made notable advancements in AI publically. The board chose shortly afterward to remove Altman from his role as CEO.
Data-driven: capable of making deft choices
At a strategic level, what matters to businesses is using cutting-edge AI methods to mine vast and intricate datasets for information and insights. As AI becomes more and more important, chief executive officers (CxOs) will want to implement this technology into their companies.
Observability of data
Monitoring the dependability of data is difficult for organisations; in other words, handling and preserving data is a whole different ball game. They can easily keep an eye on, track, and guarantee the accuracy, dependability, and performance of data throughout its lifecycle thanks to data observability. 85% of organisations rely on analytics and data-driven decision-making, therefore having the appropriate data on hand is crucial.
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