Big Data, Cloud & DevOps

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab. With the increasing adoption of mobile by most brands, utilising location data to understand and reach consumers better is essential in 2016. However, understanding the implications of location data quality and the associated

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab.     Is fintech a failure? That’s the question that Jake Fuentes, co-founder of Level Money, posed in an article on Medium late last year. Fuentes points out that, while some tech firms have had

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab. Technology is playing a big role in shaping our future, considering how far we have come thanks to it. These technologies are giving us immense power to do things we couldn’t in the

By combining network data with secondary sources of business critical information: cost, service management, user and compliance data and device diagnostics, companies can empower businesses to optimize operations, profitability and decision-making. Concisely, using telemetry we can improve the productivity at any level of the organization.

While big data is empowering business decisions with information abundance, cyber espionage is on the rise too! Big data has helped organizations and businesses in a plethora of ways earlier. However, what big data can do for supporting cyber security  and curbing cyber espionage is promising and exciting.

If there are pros to big data, there are cons too. The negative impact of big data is subtly hidden in the trail of digital traces we unknowingly leave. Anything that is unmonitored leaves an opportunity for exploitation. The same is the case with big data. While big data is not bad in itself, it can have undesirable effects if the people involved in its use have malicious intentions. It is time that individuals and organizations become aware of the value personal data and information holds and adopt a more transparent approach.

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab. Cost savings. Improved efficiency. Reduced delays and errors. What organization doesn’t have strategic goals around these fundamental operational pillars? In accounts payable, those high-level goals begin with the details. In a recent comparison of the

Ready to learn Big Data Analytics? Browse courses like Big Data – What Every Manager Needs to Know developed by industry thought leaders and Experfy in Harvard Innovation Lab.  “We should study Science Fiction in order to understand what someday could become Science Fact.” – Dr. Who?  Doc Brown?  Kodos and Kang? This is the time of

Ready to learn Big Data Analytics? Browse courses like Big Data – What Every Manager Needs to Know developed by industry thought leaders and Experfy in Harvard Innovation Lab. Biases in big data, intentional or unintentional, can lead to erroneous judgments and inferior business outcomes. Today, businesses are aware that a huge part of their decision-making is

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab. Consumers don’t know who to trust with their personal data. According to PwC’s latest Consumer Intelligence Series survey, Protect.me, only 25 percent of respondents believe companies will handle their sensitive data responsibly, and just

Ready to learn Data Science? Browse courses like Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab. Don’t let these common myths trip you up as you consider your AI strategy in 2018 Artificial intelligence has ignited our imaginations over the future of work since John McCarthy first coined the term