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Articles

IoT solutions

Smart Home technology: Making life easier with automation

AI is integrating into all aspects of our lives, even into our home. As home automation tools are becoming more and more affordable, the smart home is no longer just for the rich. What does the future of home automation hold and how can smart homes save you money and energy consumption?

Big data powered future

Impact of big data on mobile application development

How does the rise in mobile app development affect big data? The amount of data continues to grow at unprecedented levels. As the total data produced will cross zettabyte level in a few years, big data analytics is required to be in the picture for high-level analytics and deriving valuable insights from the vast pool of data.

Exploring the options

What’s the best data strategy for enterprises: Build, buy, partner?

When it comes to data solutions, is it worth it to build everything from scratch, co-develop with partners, buy a license from a vendor, or acquire small open source startups? This article examines the different solutions to data strategies and what organizations should consider when evaluating each option.

If not now, when?

The time for serverless is now – tips for getting started

Just because everyone is talking about something, that doesn’t mean it’s actually worth your time. Chris Wahl shares his experiences getting to grips with serverless technology, what he learned throughout the process, and whether, ultimately, serverless is something worth considering.

To open source or not?

Using open source in your enterprise? What to look out for

Discover the potential benefits of open source software for your business and the risks you need to be aware of. Open source has long been hailed as the future of software development, yet it’s definitely not for everyone. Darya Efimova, a digital transformation observer at Iflexion, taps into the big promise of open source along with its advantages and risks when it comes to enterprise-grade software.

The next step in ML/AI

The implication of AI & ML on the marketing landscape

Artificial intelligence and machine learning are changing how marketing campaigns work for many companies. They make it possible to transform datasets that allow better decision-making. However, it is not a magic solution, and there are still a few things you should not do when implementing AI and ML.

Machine learning is now seen as a silver bullet for solving all problems, but sometimes it is not the answer.

The Limitations of Machine Learning

Most people reading this are likely familiar with machine learning and the relevant algorithms used to classify or predict outcomes based on data. However, it is important to understand that machine learning is not the answer to all problems. Given the usefulness of machine learning, it can be hard to accept that sometimes it is not the best solution to a problem.

Making a list, checking it twice

Progressive Web App testing: Important checklist to follow

Progressive Web Apps (PWAs) need proper testing before launch, in order to ensure that they run on all browsers, devices, and with a variety of network speeds and providers. This checklist will help you ensure that your progressive web app is ready, fully tested, and ready to reach mobile users.

Pros and cons

Containerization: What you need to know

Running software in containers is catching on, and nearly half of IT leaders plan to deploy containers in production. Containers are extremely useful and can solve many problems associated with multiple environments, but they have their limitations. What do you need to know about containerization and its pros versus con before you begin?