Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.
Stories by Isaac Sacolick
Bots at their best offer a high return on investment—but there are risks. Here are seven mistakes software developers should watch out for.
Ecosystem-ready is not just about robust engineering, security, and operational practices. Here's what your devops team needs to know.
Computer vision can do more than reduce costs and improve quality. Here's how hardware, software, and AI innovations are saving lives and improving safety on and off the factory floor.
Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML.
As more CIOs and devops teams embrace generative AI, QA teams must also adapt their continuous testing practices to keep up.
The technical lead role is an important career milestone for many engineers. Here's an inside look at the questions interviewers ask and what they’re looking for.
Large language models already are transforming industries such as financial services, healthcare, education, and government. But what’s hype and what’s yet to come?
Could a low-code or no-code platform work for your application modernisation scenario? Here's what you need to know.
Partnerships can accelerate technological innovation in agile, devops, and data science. Just make sure you start with a strong foundation in place.
With infrastructure as code, virtual desktop infrastructure, and a proactive approach to incident management, you can help keep cloud costs reasonable.
For data science teams to succeed, business leaders need to understand the importance of MLops, modelops, and the machine learning life cycle. Try these analogies and examples to cut through the jargon.
Because building reliable data pipelines is hard, and the first step to becoming a data-driven organisation is trusting your data.
Implement observability in strategic areas of the software development life cycle, especially with complicated microservices and cloud-native apps.
Sadly, there’s a chance that your organisation might have to downsize because of an economic downturn or other financial conditions.