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.
As 2019 draws to a close, we got in touch with some prominent members of the Java community to gather their thoughts on the events of the last year. In this five part series, we will look at what they had to say. In this second part, we asked which Java tool, framework or feature they were most excited about in 2019.
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.
As 2019 draws to a close, we got in touch with some prominent members of the Java community to gather their thoughts on the events of the last year. In this five part series, we will look at what they had to say. In this first part, we asked what their Java highlights were in 2019.
Women are underrepresented in the tech sector —myth or reality? Two years ago, we launched a diversity series aimed at bringing the most inspirational and powerful women in the tech scene to your attention. Today, we’d like you to meet Irene Lopez, software engineer at New Relic.
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.
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.
At ML Conference in Berlin, we caught up with keynote speaker Dr. Janina Loh. Watch the video to learn about the ethical issues surrounding robots and autonomous cars—and why she believes universal guidelines for robots ethics can and should not be established.
Over the last few years, organizations across every vertical have felt pressure to embrace new technology and approaches—from cloud and edge computing to serverless—in order to compete in the growing digital economy. As we enter the new decade, modernization will continue to be a top priority.
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.
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.
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.
We interviewed ML Conference speaker Christoph Henkelmann in Berlin. The natural language processing expert shared some insights on Google’s model BERT, OpenAI’s recently fully released model GPT-2, and what the future may hold for NLP.