IoT Testing Challenges and Legacy

IoT Testing Challenges and Legacy

We live in a world where your car will soon be a far better driver than you, and your fridge will be more responsible as well, even ordering groceries when supplies start to run low. This is feasible through the advancements of embedded systems into the Internet of Things (IoT). The quality and performance of such systems still require the improvement of existing testing methods to ensure quality while taking into consideration speed and scalability.

Embedded systems have been around for decades now, while the IoT is still in its infancy. The difference between the two is that embedded systems are self-contained and isolated, while IoT gadgets are in permanent communication with the server and, soon, with each other. Such a degree of integration  and interoperability poses significant problems regarding testing and robustness due to differences in protocols and security.

Old Tools, New Challenges

Traditional testing methods take time, which is no longer a viable option. The entire development process needs to be agile, detecting problems as early as possible. The new mantra is "test early, test often" and the result is continuous integration, which is even more important in an IoT environment. The sensors, communication channels, protocols, software-hardware interactions, and configurations determine an ...


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How to Leverage AI for Cybersecurity Assurance

How to Leverage AI for Cybersecurity Assurance

In the game of cybersecurity, humans are the weakest link and usually the cause of unwanted breaches. Even highly educated and influent individuals can become unsuspecting targets of cyber-attacks, due to a lack of vigilance and taking security matters too lightly. Until now, this war was mainly human versus human. Things are about to change with the introduction of AI as the future of cybersecurity. It will soon be a challenge of super-computers against each other, much like it already is in the world of automated trading.

Challenges of cybersecurity

Human nature

The biggest threat to cyber security at this time is the careless nature of people towards passwords. The complexity of currently available algorithms would take years of continuous work by computers to break through brute force. However, users jeopardize their online safety by using simple passwords such as "123456" or their pet's names. Most users release a significant amount of personal data through social media every day. It could take seconds for an algorithm powered by AI to break into sensitive accounts by leveraging user-generated content, freely available online.

Although awareness about cyber threats is high, there has been no notable change in the behavior of people, leading to better protection. We are afraid of ...


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8 Ways IoT Can Improve Healthcare

8 Ways IoT Can Improve Healthcare

Over the past few decades, we’ve gotten used to the Internet and cannot imagine our lives without it. But now the Internet of Things (IoT) is changing the way we operate commodities around us. The Internet of Things is a real-time connection and communication among all sorts of objects, gadgets, wearables, and devices. Essentially, it represents interoperability between all the things around us (excluding computers and phones). Needless to say, IoT is changing entire industries, as it reduces costs, boosts productivity, and improves quality. One of the areas where IoT is contributing the most is medicine. In this article, we will check out 8 ways how IoT is improving the healthcare industry.

How is IoT Changing Healthcare?

With its advanced technologies, IoT gives a significant boost to healthcare development. Some forecasts even estimate that the field of IoT will climb to $117 billion by 2020. How is that possible? Let’s discuss some of the key points!



Data management



IoT provides countless possibilities for hospitals to gather relevant information about their patients, both on-site and outside of the medical premises. Healthcare relies on telemetry here to capture data and communicate it automatically and remotely. This offers medical staff a chance to act promptly and provide patients with better ...


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Why Marketing Needs Quality Data before Big Data and Predictive Analytics

Why Marketing Needs Quality Data before Big Data and Predictive Analytics

Recent marketing hype has been about new analytics and big data, and becoming marketing technologists. However, there are some fundamentals which must first be addressed, and a key stumbling block to effective marketing is the general poor quality of data. Data quality is non-negotiable. In a recent study, Britain's Royal Mail Data Services found that the average impact on businesses was a cost of 6% of annual revenue. While there was some variance among respondents, clearly no company can afford to ignore this problem.

This concern with data quality is not limited to the United Kingdom. Experian's data quality arm, in their annual benchmark report on global data quality, reported that while most businesses globally (and 95% in the US) use data to meet their business objectives, less than 44% of them trust their data.

Customer Experience is Top of Mind for 2017

Some 56% of the respondents in Experian's report want to serve their customers better in 2017, and recognize that a key factor in achieving this is better data. Providing a rich customer experience is the name of the game, and poor or erroneous information about that customer could cause the end of that relationship. It has become apparent to most ...


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