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IIoT (Industrial Internet of Things) is fairly a new concept for industries and it is presenting a huge opportunity in helping enterprises to operate more safely and productively while improving efficiency and reducing costs.
Forbes Insights recently surveyed more than 500 executives and, when asked about their greatest challenge in building out their IoT capabilities, 29% said it was the quality of IoT technology. This isn’t surprising. In some cases, IoT platforms must support thousands of vendors, dozens of standards, and be able to scale to millions of devices, together sending and receiving billions of messages.
Still, many companies facing problems with the adoption of industrial IoT without knowing where to start and which automated processes will contribute to the highest increase in effectiveness. And each IoT story varies.
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“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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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 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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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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