Thoughtworks has just published Volume 28 of the Technology Radar, a barometer that analyzes the main technological trends of the present and the future, such as Artificial Intelligence, Machine Learning or Big Data. One of the central themes of this year’s Technology Radar is artificial intelligence (AI), which is increasingly accessible and integrated into business.
Thus, the report affirms that if we Integrate AI with a solid engineering practice leads to the more effective delivery of value to customers. In fact, with analytics and AI, having enough data and code is no longer the problem. Instead, the focus should be on having source code and data available. high quality to create models that respond appropriately to changes in environmental factors and do not drift over time.
“Many companies already use analytics and Artificial Intelligence. We see that the integration of AI with the business, supported by good engineering practices, leads to more personalized and flexible data-driven solutions that help the business grow,” he says. Matheus TaitCEO of Thoughtworks Spain.
“This is now gaining a lot of traction with the more recent developments in generative AI. This next generation of AI will create an incredible new customer experience, on the one hand, and also take on tasks to relieve tech workers, replacing tedious tasks that require knowledge (but not wisdom), on the other hand. However, we caution against excessive or inappropriate uses. Right now, generated content always needs to be monitored by a human who can validate, moderate, and use it responsibly. We must also be careful to follow the most recent regulations, especially in Europe. If these precautions are ignored, the results can create reputational and security risks for organizations and users.” Highlights from Technology Radar Vol. 28 include:
- The meteoric rise of AI: In recent months, tools like ChatGPT have completely refocused the understanding of both the tech industry and the world at large about what is possible with AI.
- Accessibility: Accessibility is not a new concern, but the proliferation of ideas and tools in this realm means it can be tackled fairly easily by product and engineering teams. Now there are few excuses for not taking accessibility seriously and integrating it into the things that are built.
- Lambda quicksand: Serverless functions can be extremely useful, but they can also foster bad habits and lead to poor architectural decisions that increase complexity. To get the most out of serverless features, it’s important to be clear about where they’re being used and to be aware of the potential consequences.
- Engineering rigor meets analytics and AI: Without high-quality data, teams implementing AI risk compromising accuracy and, by extension, user trust. This can only be effectively achieved through sound engineering practices such as model validation, continuous integration, and monitoring.
- Declare or schedule? Choosing between declarative specifications or general purpose programming languages for certain tasks is an important and ongoing consideration for software developers. There is rarely an obvious answer, which means that it is essential to always reflect on the benefits and risks when faced with a new context.
Thoughtworks was founded in 1993 in Chicago. It is currently listed on the Nasdaq 100 index and has a staff of 11,500 workers spread over 51 offices in 18 countries. The consultancy develops and implements customized solutions for clients from all sectors, helping them overcome obstacles and optimize their activity in four business lines that work horizontally: Platforms and Cloud; Data and Artificial Intelligence; Design and Product; Digital Transformation and Operations.
