Big Data, Cloud & DevOps

Ready to learn Data Science? Browse Data Science Training and Certification courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. Radical changes are taking place in the classroom. As an education expert, it’s essential to keep up with evolving and disruptive transformations. The traditional academic environment is changing in many ways. For example,

Ready to learn Cloud Computing? Browse Cloud Computing Training and Certification Track courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. Acquisitions, Multi- and Hybrid Cloud, growth of Cloud Managed Services, containers and green initiatives marked a dynamic year in Cloud Computing. Cloud Computing continued to be one of the hottest topics

Ready to learn Data Science? Browse courses like Effective Data Visualization developed by industry thought leaders and Experfy in Harvard Innovation Lab. The Pioneers of Data Visualization Nicolaes Visscher, Orbis Terrarum Nova et Accuratissima Tabula, 1658 Looking back at Humanity’s history, we can observe multiple situations where individuals found ways to visually describe and document their experiences.

I use the suitcase dilemma as a metaphor for the types of decisions being made in the analytics technology world by customers. Companies invariably confront with the decision on the type/size/complexity of solutions to implement, and they many times initially demanded the 100% answer to their forecast needs into the mid to long range future.  Be a suitcase-skeptic – don’t be too quick to purchase the largest, handle-all-cases bags. Consider in addition the frugality and simplicity of a 95+% solution, simultaneously planning for, but not implementing, the 100% case.

The tech industry might feel like some monolithic juggernaut, but it’s easy to get along with once you know it a little better. If you’re a young professional looking to make your start in an emerging and disruptive technology field, however, how can you give yourself the best chance at standing out? Like it or not, it all begins with the humble resume. Here’s how to make yours shine in what is projected to remain a very in-demand field, according to employers.

Maybe it’s hard to believe, but cutting-edge technologies are bringing their magic even to places that once lived and died by their human touch. Take restaurants for example. Places like Applebees, Chili’s and more employ the help of tabletop tablets to enhance the customer experience. Similarly, technology has the potential to improve functions such as conferences and events — from the planning of the event to its execution and everywhere in between. Let’s take a look at a few of the reasons why.

Today’s excellent data scientists, especially on the applied side, tend to get things done more quickly, and with improved computer science skills. The need for understanding the inner-workings of the black box seem to balance with the need to know how to run programs, operate tools, and write code. It is excited to see where the next several years will take us, and look forward to seeing further evolution of the data scientist. Here is a look ath the evolution of the data science function over the past few decades:

Hiring managers and human resources departments will probably always need a human touch to perform their duties well. Even so, we’re already seeing the many potential benefits of bringing data analysis and artificial intelligence into the hiring process. Broadly speaking, companies large and small are using advanced technologies to help them source candidates more successful. Hiring can be much more strategic now that human beings have the aid of impartial and vastly more observant AI tools to help make our staffing decisions. Here’s a look at how big data and AI are shaking up hiring just about everywhere.

Today, artificial intelligence (AI) business technology, also called business intelligence (BI), is shaking the foundation of commerce. Although the technology is complex, there are numerous ways that it can help business leaders improve their operations and boost profits. Understanding AI and machine learning (ML) is initially challenging for business leaders, but highly beneficial. With the cost of this technology diminishing, a growing number of small to midsize firms are leveraging the innovation to compete in an increasingly competitive marketplace.

The health care industry of the near future will look quite a bit different than it does today — and technology is one of the biggest reasons why. How can you tell if a system will be a winner, though? Sometimes, you can tell by following patterns in public spending. National health care systems such as the U.K.’s NHS could soon be investing hugely in augmented reality (AR) and virtual reality (VR). What’s the appeal? As it turns out, there are many compelling applications for AR and VR in modern health care. Here are a few of them.

Companies articulate openly their need to shift their organizations culture to become more data-inspired in decision-making related to strategic and tactical decisions. And analytics have become an important part of the decision-making process for many companies in the past few decades, particularly with corporations using data assets as a core competency and point of origin. The dynamic nature and improved capabilities for analytics enable companies and even individuals to do more and in better ways. Here are six predicted trends to watch for in the coming new year.