The need in Enterprise Data Governance is to identify, develop, and structure organizational goals, governance practices, roles, and responsibilities for maximizing the earned benefits from those efforts. Global enterprises can no longer afford to procrastinate on possible Data Quality control approaches; they have to act now. In fact, Gartner warned that by the end of […]
Data Science Predictions for 2017
Data is now creating opportunities for business growth and profit like never before. In the last decade, the emergence of advanced data technologies and superior analytics tools has made it possible for business operators to reap numerous benefits from their data assets, yet for most they’ve only just scratched the surface of data’s potential. Data […]
Can IBM Watson Analytics Replace the Data Scientist?
At the core of IBM’s Watson Analytics is a powerful bull’s-eye tool; it employs a powerful user query as the basis of analysis. The Data Scientist or business user is free to play with the variables in any dataset and directly visualize how the changing user inputs impact the answers. The bull’s-eye also helps narrow […]
Developing Machine Learning Skills on the Job
Data continues to inhabit every facet of human existence and so the need for competent Data Scientists to help leverage the insights from that data will invariably increase for the foreseeable future. According to a past EMC Data Scientist Study and the 2015 Global IT Report, the amounts of data created by the year 2020 […]
How Big Data is Strengthening Machine Learning Projects
“Modern Machine Learning is devoted to deriving value from data, not jamming the airlocks.” The above quote from Arthur C. Clark’s HAL 9000 vision is about to become a reality, thanks to Big Data enabled Machine Learning (ML). With modern computers exhibiting exceptional performance and storage devices being available within easy budgets, global businesses are increasingly […]
Deep Learning Obstacles: What’s the Lesson?
Historically, Google hasn’t often shared its powerful arsenal of hardware and software technologies, which has helped build its reputation and market dominance over the years. Google has been one of the symbolic forces behind advanced data transmission technologies used across the globe. Yet, Google maintained its strategic strength over its competitors by carefully withholding older […]
Designing Effective Interviews for Spotting a Real Data Scientist
The Data Scientist has been called the sexiest job of the 21st Century and thus has started attracting many young, ambitious contenders for this high-paying and “glamorous” post. However, there is a growing concern among employers and business leaders that candidates are getting enticed by just the “title” without building the proper mindset and skills […]
The Life of a Data Scientist
The worldwide demand for qualified Data Scientists continues to grow and one of the most common queries in many an industry insider’s mind is so, what is it that a Data Scientist does? When lay persons within an industry try to grasp the essence of a Data Scientist’s life, the confusion that boggles everyone is […]
Machine Learning of the Next Decade: The Promises and the Pitfalls
Machine Learning (ML) technology has gained rapid strides in the current enterprise software ecosystem, as it perfectly balances the ease of adoption, deployment, and market maturity with strong business benefits. On the flip side, Machine Learning technology also threatens some core elements of the human experience such as natural processes, human labor, or traditional workflows. […]
A Comprehensive Review of Skills Required for Data Scientist Jobs
The Data Scientist is the quintessential “go-between,” carrying the problems of the business folks to the IT department, and then bringing back the technological solutions to the business units. A good Data Scientist not only explores, designs, and engineers business solutions, but also determines the best technological option at hand to arrive at such solutions. […]