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In recent situation there is a huge requirement to handle extends that enable organizations to change their techniques all the more rapidly so as to suspect the market and opposition.

With new advances, organizations have gotten themselves tossed into circumstances…

The idea of the digital asset doesn’t actually correspond to the real-world assets like gold, property, etc. rather it is more of your digital content like graphics, photos, documents, etc.

There’s far too much data generated by businesses online, so, how does one manage their digital assets? In order to bring the importance of DAM…

Stock trading has one of the most complex and complicated dynamics in the present day world. In today’s time, multiple algorithms and researches have been produced to understand the complexity of the stocks trading. There is an increasing effort to understand the system dynamics of stock trading to predict the emergent behavior of the stock prices.

In order to predict stock prices adequately, one needs to…

In a recent article (February 2019) published in Forkes (see here) it was argued that there will be no data science job titles by 2029. The author wrote that Automation is coming for many tasks data scientists perform, including machine learning.

I disagree. If you haven't automated most of your tasks yet, you are not…

Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here. There is no…

Data loss comes in all shapes and sizes, from an accidentally deleted document to a catastrophic server failure that wipes out a critical database. Modern businesses are absolutely reliant on data, and on the infrastructure they use to store, process, and access that data. The grim reality is that those systems and the people who use them are fallible. Most business owners are aware that backups are important, but few have a full disaster recovery plan in…

Black hat data science consists of techniques designed to fool existing algorithms (Google search, Amazon rankings, and so on), compromising or tampering with the metrics -- especially ratios -- that they rely on, without actually physically touching or altering data stored in their databases. It exploits flaws in these algorithms, and it also relies on reverse engineering, to achieve its goal. So black hat data science is different from traditional hacking,…

Every business depends on data. For both the teen who mows lawns at the weekend and globe-spanning internet giants like Google, data is vital.

It might be addresses written on a piece of paper or petabytes of information stored on thousands of powerful servers. If it’s lost, the business loses money, time, and the respect of its customers.

Most business leaders…

2016 Google trends data showed an all-time high in searches for “marketing automation”, reflecting a sustained interest in the term and the concept. Focused more on nurturing rather than selling, marketing automation is centered on content that is relevant, personalized, and in line with what customers want.

Marketing automation makes use of various web-based services and software to carry out, manage, as…

With text analytics, various burning questions around the ‘why’ and ‘what’ of a piece or group of content can be answered. Examples like social media chatter around brand can create a supremely spiraling impact (remember the post which showed a Kentucky man was violently removed from…

Data science is probably the most popular concept nowadays. I believe that many people are looking for an entrance to get inside the industry, and I just happened to read an article that lists some great data science books that may be helpful for you. So I concluded it in this article and I’ve also given the books brief introductions, so you can choose the ones you’d like to read. Some of the data science books you can find it online, and I've given out the links. But most of them I…

We’re all familiar with data visualizations—word clouds, pie charts, pivot tables—but how does one put enquiries in paint?  Patty Haller, a landscape artist from Seattle WA, may have figured that out.  Her training in finance at University of Washington and traditional oil painting at Gage Academy of Art raised more questions than it answered.…

The word “Big data” prevailed in 2017, and it’s going to keep prevailing in the following years. In our previous post, I’ve introduced some concepts about big data, machine learning, and data mining (see post: Understanding Big data, Data mining, and Machine Learning in 5 Minutes). Now let's dig deeper into Machine Learning with a brief walk-through of some most commonly…

There are certain cases where Apache Spark surpasses Hadoop. In this article, our experts will share their reviews about the things that make Apache Spark a superior choice over Hadoop.

Apache Spark is lightning fast cluster computing tool used by developers and programmers. This tool is up to 100 times faster than Hadoop MapReduce since it features faster-in-memory data analytics processing power. It is a Big Data framework that is used as a general purpose data processing engine on…

Talent recruitment has always been a problem for companies in the technology sphere, especially in expanding markets where business growth and technological innovation generate intense competition. Over the next couple of years, recruitment will get even harder. GDP growth is at about 3 percent and it’s expected to remain at…

There have been many articles written and talks given over the last several years on abandoning the Enterprise Data Warehouse (EDW) in favor of an Enterprise Data Lake with some passionately promoting the idea and others just as passionately denying that this is achievable. In this article, I would like to take a more pragmatic approach to the case and try and lay down a process that enterprises should consider for a data management architecture.

The focus is on data lakes for…

These predictions for 2018 are from Infologix.

“Metadata management and ensuring data privacy for regulations such as GDPR joins earlier trends like AI and IoT, but the unexpected trend of 2018 will be the convergence of data management technologies,” said Emily Washington, senior vice president of product management at Infogix. “Big data has been the next big technology phenomenon for a long time, but businesses are increasingly evaluating ways to…

Technology always takes a dominant position in economy and society. Millions of people therefore found their careers, and many others have even dived into a completely different field just for entering this industry. Even so, enterprises are still trying hard to seek for skilled programmers; when the right one shows, companies would even raise HR budgets. Technology is continuing to infiltrate into new platforms and industries, hence, to maximize one’s profit potentials, also for…