In the last few years, we’ve seen the concept of the “Cloud Data Lake” has gained more traction in the enterprise. When done right, a data lake can provide the agility for Digital Transformation around customer experience by enabling access to historical and real-time data for analytics.
Data is the lifeblood of AI. An AI system needs to learn from data, as well as from humans, in order to be able to fulfill its function. Unfortunately, organizations are already struggling to integrate data from multiple sources to create a single source of truth on their customers, products, or other data. AI will not solve these data issues, it will only make them more pronounced.
Bugfender is pleased to announce that José Jeria Mena, developer of the game-changing fitness app Social Steps, has won our latest competition and is now the proud owner of an iPhone XS.
In our never-ending effort to help you track and destroy bugs, we’ve been listening to you. Based on your requests, we recently added a new feature to Bugfender: In-App Feedback. We’re pretty excited about it.
Since Black Friday first became a thing, roughly 15 years ago, practically every big name in digital retail has experienced some form of outage while trying to cope with its demands. Last year alone, international retailers Lowe’s, Debenhams and Game all suffered downtime at one point or another, bringing howls of complaint and derision from customers.
In 2017, a study found that 88% of people will abandon an app due to bugs and glitches. This startling stat demonstrates, with crystal clarity, the need for developers to make their product as clean as possible – with rigorous testing procedures to eliminate any errors. But what are the key steps that go into the testing regime? How can you, as the developer, give yourself the best possible chance of delivering an error-free app?
