How to Explore Apple Watch Data in R

| June 4, 2018

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This project originally appeared on Inertia7, a social platform of open source computer and data science projects. It was republished with permission from the author. Thanks to the popularity of wearable technology, data scientists and health professionals have found a mutually beneficial tool for gaining insight into a powerful data generator: the human body. Because data from wearable devices are so readily available, many organizations and researchers have taken steps towards utilizing and understanding them to improve the human experience, such as evaluating a user's health history. First, a few examples: Evidation Health has done studies which utilize longitudinal wearable technologies to predict a binary anxiety diagnosis with the help of temporal convolutional neural networks. These networks are able to perform better than baseline models because they use data collected at increasing time granularities, such as steps and sleep in minute-long intervals. Meanwhile, researchers in San Francisco have created a semi-supervised deep learning model that can predict medical conditions with the help of wearable app data from commercial offerings like FitBit and Apple Watch. By utilizing long short-term memory (LSTM),  the model yields better predictive power than baseline models (such as classification models that are not considered deep learning, including random forest and multilayer perceptron).

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Corporate360 is a BigData software company offering SaaS based marketing data cloud software to help B2B marketers discover sales leads, ideal buyer profiles & competitive intelligence. Our data-as-a-service cloud helps B2B sales reps close deals faster, eliminate sales research, accelerate pipeline creation, beat competition & maintain CRM data accuracy. C360 award winning products Tech SalesCloud, ProspectR & EmailR helps B2B marketers to discover prospect insights, target audience, buyers persona, technology installations, business contacts, sales patterns and sales lead recommendations. C360 products can solve so many sales and marketing issues, including: 1) finding new prospects; 2) finding accounts most likely to buy: for account based marketing; 3) finding customers most likely to buy more: for cross-sell/up-sell campaigns; 4) discover competitive intelligence; 5) Maintain CRM data accuracy and 6) finding actionable sales leads. The company offers a comprehensive marketing data

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7 Data Storage Trends You Cannot Miss in a Data Center

Article | July 23, 2020

Contents: 1 Introduction 2 Top Data Storage Trends That Simplify Data Management 2.1 AI Storage Continues to be The Chief 2.2 Price Markdown in Flash Storage 2.3 Hybrid Multi Cloud for The Win 2.4 Increased Significance of Software-Defined Storage 2.5 Non-Volatile Memory Express (NVMe) Beats Data Center Fabrics 2.6 Acceleration of Storage Class Memory 2.7 Hyperconverged Storage – A Push to Edge Computing 3 The Future of Data Storage 1. Introduction There’s more to data than just to store it. Organizations not only have the responsibility of dealing with a plethora of data, but are also anticipated of safeguarding it. One of the primary alternatives that enterprises are indulging in to keep up with the continuous data expansion is data storage entities and applications. A recent study conducted by Statista revealed that worldwide spending on data storage units is expected to exceed 78 billion U.S. dollars by 2021. Going by these storage stats, it can be certainly said that data is going to be amplified at a much faster rate, and companies do not have a choice but to be geared up for a data boom and still be relevant. When it comes to data management/storage, information technology has risen to all its glory with concepts like machine learning. While the idea of such profound approaches is thrilling, the real question boils down to whether organizations are ready as well as equipped enough to handle them. The answer to this might be NO. But, can companies make changes and still thrive? Most definitely, YES! To make this concept more understandable, here is a list of changes/trends that companies should adopt to make data storage a lot more easy and secure. 2. Top data storage trends that simplify data management Data corruption is one big issue that most companies face. The complications that unfold further because of the corruption of data are even more complicated to resolve. To fix this and other such data storage problems, companies have come up with trends that are resilient and flexible. These trends have the capability of making history in the world of technology, so, you better gear up to learn and later adapt to them. 2.1 AI storage continues to be the chief The speed with which AI hit the IT world just doesn’t seem to slow down even after all these years. We say this because, amongst all other concepts that were and are constantly being introduced, artificial intelligence is one applied science that has made the most amount of innovations. To further add to this, AI is now making enterprise data storage process easier with its various subsets like machine learning and deep learning. This technology is helping companies in accumulating multiple layers of data in a more assorted format. It is automating IT storages including data migrating, archiving, protecting, etc. With AI, companies will be able to control data storage across multiple locations and storage platforms. 2.2 Price markdown in Flash storage As per a report by Markets and Markets, the overall All-Flash Array Market was valued at USD 5.9 billion in 2018 and is expected to reach USD 17.8 billion by 2023, at a CAGR of 24.53% during this period. This growth only states that the need for all-flash storage is only going to broaden. Flash storage has always been a choice that most companies stayed away from mainly because of the price. But with this new trend of adopting flexible data storage ways coming in, flash storage has been offered at a much-depreciated price. The drop in the cost of this storage technology will finally enable businesses of all sizes to invest in this high-performance solution. READ MORE: HOW BUSINESS ANALYTICS ACCELERATES YOUR BUSINESS GROWTH 2.3 Hybrid multi cloud for the win With data growing every minute, just a “cloud” strategy will not be enough. In this wave of data storage services, hybrid multi-cloud is one concept that is helping manage off-premises data. With this growing concept, IT authorities will be able to collect, segregate and store, on-premises, and off-premises data in a much-sophisticated manner. This will enable in centrally managing while reducing the effort of data storage by automating policy-based data placement across a hybrid of multi-cloud and storage types. 2.4 Increased significance of software-defined storage More the data, less reliability on hardware devices – this is the growing attitude of most companies. This fear certainly has the possibility of becoming a reality. Hence, an addition to the cybersecurity strategy that companies can make is adopting software-defined storage. This approach of data storage disconnects the underlying physical storage hardware. It is programmed in a way that can function on policy-based management of resources, automated provision, and computerized storage capacity reassignment. Due to the automated function, scaling up and down of data is also faster. Some of the biggest advantages of this trend will be the governance, data protection, and security it will provide to the entire loop. 2.5 Non-Volatile Memory Express (NVMe) beats data center fabrics NVMe – as ornate as the name sounds, is a concept that is freshly introduced with the aim of making data storage simpler. Non-Volatile Memory Express is a concept that enables accessibility of high-speed storage media. It is a protocol that is showing great results in a short amount of time of its inception. NVMe not only increases the performance value of existing applications, but also enables new applications to real-time workload processing. This feature of high performance and low latency is surely a highlight of the concept. All in all, this entire trend seems to have a lot of potential that are yet to be explored. READ MORE: HOW TO MAXIMIZE VALUE FROM DATA COLLECTED FOR BUSINESSES SUCCESS 2.6 Acceleration of storage class memory Storage class memory is a perfect combination of flash storage and NVMe. This is because it perfectly fills in the gap between server storage and external storage. As data protection is one of the major concerns of enterprises, this upcoming trend, does not only protect data but also continually stores and improves it for easier segregation. A clear advantage that storage class memory has over flash and NVMe storages is that it provides memory-like byte-addressable access to data thus reducing piling up of irrelevant data. Another benefit of this trend is that it indulges in deeper integration of data for ensuring high performance and top-level data security. 2.7 Hyperconverged storage – a push to edge computing The increased demand for hyper converged storage is a result of the growth of hybrid cloud and software-defined infrastructure. Besides these technologies, its suitability for retail settings and remote offices is add on to its already existing set of features. It’s the capability of capturing data from a distance also enables cost-effectiveness and scales down the need to store everything on a public cloud. Hyper converged storage if used in its true essence can simplify IT operations and data storage for enterprises of all sizes. 3. The future of data storage According to the Internet World Stats, more than 4.5 billion internet users around the world relentlessly create an astronomical amount of data. This translates to propel companies into discovering methods or applications that help them store this data safe from harmful ransomware attacks and still use it productively for their advantage. One of the prime changes that can be estimated about the future of data storage is that companies will have to adapt to the rapid changes, and mould their process to enable quick and seamless storage of data. Another enhancement would be that IT managers and responsible authorities would have to be updated and proactive at all times to know what data storage has been newly introduced, and how it can be used for the company’s advantage. Here’s a thing, amongst all the research that enterprises are conducting, not all data storage technologies will end up becoming a hit, and will fulfil the specification of high-speed storage. But, looking at all the efforts that researchers are taking, we don’t think they are going to stop any sooner and neither is the augmentation of data!

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Big Data Is Helping Us Fight The Coronavirus But At What Cost To Our Privacy

Article | April 9, 2020

In some ways at least, technology has been able to tell us more about how and where the virus is spreading. Mostly, this has involved creatively harnessing the power of big data using temperature readings from smart thermometers to detect COVID-19 hot spots, or aggregating cellphone location data to point to the areas of the country where people are staying home. But against a backdrop of debate between civil liberties and public health, we also need to be asking where the line is digitally: How much surveillance is acceptable in the service of the greater good.

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Bringing big data science to Africa

Article | March 24, 2020

Africa is set to establish its first big data hub, boosting knowledge sharing and information extraction from complex data sets.The hub will enable the continent to access and analyse timely data relating to the Sustainable Development Goals for evidence based decision making, says Oliver Chinganya, director of the Africa Statistics Centre at the United Nations Economic Commission for Africa (UNECA).According to a study, big data is impacting positively in almost every sphere of life, such as in health, aviation, banking, military intelligence and space science.

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COMBATING COVID-19 WITH THE HELP OF AI, ANALYTICS AND AUTOMATION

Article | April 9, 2020

Across the world, governments and health authorities are now exploring distinct ways to contain the spread of Covid-19 as the virus has already dispersed across 196 countries in a short time. According to a professor of epidemiology and biostatistics at George Washington University and SAS analytics manager for infectious diseases epidemiology and biostatistics, data, analytics, AI and other technology can play a significant role in helping identify, understand and assist in predicting disease spread and progression.In its response to the virus, China, where the first case of coronavirus reported in late December 2019, started utilizing its sturdy tech sector. The country has specifically deployed AI, data science, and automation technology to track, monitor and defeat the pandemic. Also, tech players in China, such as Alibaba, Baidu, Huawei, among others expedited their company’s healthcare initiatives in their contribution to combat Covid-19.

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Corporate360

Corporate360 is a BigData software company offering SaaS based marketing data cloud software to help B2B marketers discover sales leads, ideal buyer profiles & competitive intelligence. Our data-as-a-service cloud helps B2B sales reps close deals faster, eliminate sales research, accelerate pipeline creation, beat competition & maintain CRM data accuracy. C360 award winning products Tech SalesCloud, ProspectR & EmailR helps B2B marketers to discover prospect insights, target audience, buyers persona, technology installations, business contacts, sales patterns and sales lead recommendations. C360 products can solve so many sales and marketing issues, including: 1) finding new prospects; 2) finding accounts most likely to buy: for account based marketing; 3) finding customers most likely to buy more: for cross-sell/up-sell campaigns; 4) discover competitive intelligence; 5) Maintain CRM data accuracy and 6) finding actionable sales leads. The company offers a comprehensive marketing data

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