For new, and even seasoned entrepreneurs, presenting an app idea to a developer is a process fraught with misunderstanding. You don’t have to be a programmer yourself to present clear ideas to a development agency.
Entrepreneurs looking to build their first startup desperately need good advice and strong mentors. Unfortunately some of the conventional wisdom floating around the internet is downright counterproductive.
TL;DR Alpha testing is when a closed group takes a stab at your software Beta testing is when a group from the general public uses an early version of your app
In my last post in this series, I dealt with whether it's possible to launch an MVP on a shoestring budget.
TL;DR: With the right engineering partner it's possible to crank out an MVP for under 15k as a non-technical founder, but get ready to be involved with the process and immerse yourself in the business side of things.
As online retail has evolved and consumer expectations have risen, retailers need to meet these needs in order to retain customers.
Getting the most out of the massive amount of data generated by even moderate retail operations requires turning information into wisdom according to data-information-knowledge (DIKW) pyramid.
Software development is a changing and dynamic field. With so much going on, it can be difficult to get a grasp on what constitutes a good company, an excellent company, or a bad company.
It’s not time for developers to hunker down for the AI apocalypse just yet. In fact, machine learning is eventually slated to become part of a programmer’s toolkit rather than a replacement for human programmers.
It is exciting how modern video streaming platforms know exactly what their subscribers want to watch. Social media platforms are also getting better every day by recommending people who we should follow or add to our friend's list.
Most teenagers tend to think that they are more knowledgeable than their parents. The truth is that they are wrong to think this way.
The field of data science is experiencing great disruptions that are making the work of data scientists easier. There are several data science and machine-learning software products available for free and for purchase on the market today.
