The future of responsible data

Data protection in 2020, only the responsible will survive

The past decade saw a number of massive data breaches from well-known companies such as Target, Yahoo, and Equifax. In the coming years, companies will need to find better ways to protect their data and ensure customer privacy. This article dives into some of the adjustments that we can expect to see in the next few years.

Protecting our data

How AI has the power to save the world from identity theft

Identity theft rose to the top of crimes reported by US customers and it continues to affect thousands of people. ID theft, unauthorized payments, and even blackmail is possible with the information that hackers steal every year. Is artificial intelligence the solution that we need to protect our sensitive information on a global scale? New technologies such as DeepCode may reduce ID theft.

Taking data to court

Three biggest legal cases about data scraping

The legality of web scraping is still a grey area. Many businesses forbid scraping in their ToS, but these aren’t enforceable in many places. Data scraping businesses need to remain alert and be aware of the implications of legal cases. Let’s review the three biggest legal cases about the current web data scraping ecosystem.

Shifting focus

Predictions 2020: Observability and the future of testing

Although agile efforts are commonplace, many development teams are falling short in their efforts. In 2019, many teams are just beginning to learn how to test. But in 2020, they need to shift focus and start testing in order to learn. Observability will become a priority in the future of DevOps and agile development and will enable a more rapid and efficient cycle.

2020 predictions on securing APIs

Ahead in 2020: Preparing for new mechanisms that will help secure APIs

If you’re like me, you’ve spent the last several weeks reviewing the vast number of predictions industry players have been making in and around the software development space. One that I don’t think has received enough coverage is the exciting prospect that browser vendors will eventually start adding mechanisms to secure localStorage, a JavaScript accessible storage technology commonly, but dangerously, used to store critical data such as authentication tokens. While it’s unlikely we’ll see browsers implement any improvements in 2020, the sad reality is that we’re likely to see attacks that necessitate a response.

Improving telecommunications

How machine learning is changing business communications

Artificial intelligence and machine learning are increasingly used to make decisions in place of humans. As you might expect, machine learning is being applied extensively in real-world situations. There is much to look forward to in terms of discovering how it can help business communications to improve. In this article, we dig into the trend.

Exploration, training and deployment

Why Kubernetes and containers are the perfect fit for machine learning

Both machine learning and the use of cloud-native environments built on containers are becoming more commonplace in the enterprise. Luckily, Kubernetes and containers are a perfect match for ML. The cloud-native model has many advantages that can be brought over to machine learning and other forms of artificial intelligence for more effective, practical business strategies.

Beyond cryptocurrencies

3 challenges of blockchain adoption for enterprise developers

Now that we know all the possibilities blockchain can achieve, we are potentially on the verge of a mass blockchain adoption, starting with enterprises. However, since the technology is still so young, there are still a number of hurdles businesses will have to jump over and research before they implement it successfully. Here are the three biggest challenges that enterprises face regarding blockchain adoption.