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API For IoT Application
Without API Management, The Internet of Things Is Just A Big Thing

In BlogIoT

“Digital disruption is all around us and it’s having massive implications for business. Digitization and the expansion of the Internet of Things is a catalyst for growth, which is driving new economic models and enabling organizations to remain competitive and embrace the pace of change happening globally. This report clearly demonstrates that digitization and the IoT will deliver long term efficiencies and growth opportunities across a wide range of industries,” commented Chris Dedicoat, president, EMEAR for Cisco.

There’s no wonder on hearing more and more about the Internet of Things (IoT).

Cisco is predicting that by the year 2020, the IoT will comprise more than 30 billion connected devices and it would take a lifetime to manually analyze the data produced by a single sensor on a manufacturing assembly line.

That means, it is supposed that each “Thing” we encounter in our daily and professional lives could potentially be connected within the next couple years.

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eCommerce Development Platforms
Best eCommerce Development Platforms

In BlogeCommerce

With the intense competition and the ever-increasing demands among online, only the right combination of business model and eCommerce platform will survive. So, you have to choose a platform that meets your e-commerce store requirements as appropriate and as unique as your individual business model.

If you are planning to start an eCommerce platform, there are plenty of options available but choosing the right among all to streamline your e-commerce business to generate ROI is important. Also, it’s very important to choose the right one that can deliver robust user experience, should be SEO friendly to outshine on search engines, easy to use and can help you in achieving the desired e-commerce goals.

Here are the list of top 4 e-commerce platforms that will surely transform your ideas into a reality:

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Digital Transformation Trends For Healthcare Industry
3 Digital Transformation Trends For Healthcare Industry

In Artificial IntelligenceBlogIoT

Digital transformation is currently taking over the healthcare industry to bring forth high-quality and innovative care with an exceptional digital user experience. And it is transforming everything in healthcare processes and procedures to optimize the industry services.

Now the industry is all set to make a digital revolution that drives the new waves of medical innovation. In a way to revolutionize patient care with a deeper understanding of patient necessities along with remote monitoring and real-time access to electronic medical and personal health record.

Here, we are going through three digital transformation trends that healthcare organizations simply cannot afford to miss:

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Python or R? Which Should You Choose For Your Next Machine Learning Project
Python or R? Which Should You Choose For Your Next Machine Learning Project

In Artificial IntelligenceBlog

Data science is all about capturing data in an insightful way where Machine learning is a key area of it. Data science is a fantastic blend of advanced statistics, problem-solving, mathematics expertise, data inference, business acumen, algorithm development, and real-world programming ability. And Machine learning is a set of algorithms that enable software applications to become more precise in predicting outcomes or take actions to separate it without being explicitly programmed.

The distinction between data science and machine learning is a bit fluid, but the main idea is that data science emphasizes statistical inference and interpretability, while machine learning prioritizes predictive accuracy over model interpretability. And for both data science and machine learning, open source has become almost the de facto license for innovative new tools.

Are you planning a machine learning or data science project and confused between Python and R? Both are open-source, free and develop robust ecosystems of open source tools and libraries that help to perform analytical works more easily. So, let’s have a look at whether Python or R, is better for data science considering machine learning and artificial intelligence as included in the term data science.

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Ways To Improve Mobile App Stability
4 Ways To Improve Mobile App Stability

In Apple/iOsBlogCustom Mobile Applications

With thousands of new apps being published, one of the biggest predictors of mobile app success is the app stability. And it’s becoming more and more critical to focus on developing a stable and clutter-free mobile app with ever-evolving technologies. Only a stable app elevates your customer’s perception about your brand along with strengthening the relationship they have with you.

Familiarizing with the most known and common causes of mobile app instability can make your app more stable. And the cold hard truth is your app’s quality and performance impact the bottom line. It’s what will make users decides whether to keep it or not. And crashes especially of the repeated kind, will higher the number of app uninstall and drive your users to run away.

So, whether you’re a brand new or established, a first-timer or a long-timer, you must ensure that your app not only offers the content that users crave, but also offers a clutter-free medium. Therefore, making your app into crash-less should be at top of your priority list. Let’s take a closer look at the key factors in app quality, and furthermore to deliver a great user experience.

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