The bi-annual Women in Technology Leadership Round Table was held at UC Berkeley in June, a few months after its organizers, Virginia Smith and Dr. Gitanjali Swamy, issued the report, Women In Tech: Addressing the Root Causes of Attrition. The report, which appeared after the Women in Technology inaugural Round Table in November, provided a […]
Data Lakes 101: An Overview
A Data Lake is a pool of unstructured and structured data, stored as-is, without a specific purpose in mind, that can be “built on multiple technologies such as Hadoop, NoSQL, Amazon Simple Storage Service, a relational database, or various combinations thereof,” according to a white paper called What is a Data Lake and Why Has […]
Putting the Focus on Action in Prescriptive Analytics
The retail industry is an environment of Big Data just waiting to be exploited. It’s all there, from data related to real-world store sales and traffic, to customer loyalty engagement and social media sentiment, to supplier transaction information and even sensor findings from devices that monitor things like product temperatures. But one problem is that […]
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 […]
Dynamic APIs for the Age of Digital Business
One ringy-dingy, two ringy-dingy. The words surely call to mind – at least to those familiar with the 1960s/70s TV show Rowan and Martin’s Laugh-in – images of Lily Tomlin as telephone operator Ernestine. But the digital businesses of a very different era do not want to have to rely on manual machinations all too […]
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 New Take on Master Data Management
Master Data Management (MDM) is evolving. Forrester Research in its Forrester Wave: Master Data Management Q1 2016, released this spring, points out that organizations’ needs are becoming more complex, with many companies tightly linking their MDM efforts to customer engagement and business processes, and with data models becoming more dimensional while data levels grow deeper. […]
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. […]
A New Take on Data Discovery, Data Management, and its Relationships
Having herself held senior roles in IT at Wall Street companies including Deutsche Bank and Morgan Stanley Smith Barney, Oksana Sokolovsky is quite familiar with the challenge of Data Management and data discovery. As co-founder and CEO of ROKITT, her goal was “to build a product that solves that challenge,” she says. The challenge exists […]
Machine Learning: From Then Until Now
Machine Learning is a form of Artificial Intelligence (AI) which allows computers to learn by way of observation and experience, rather than rigid pre-programming. Machine Learning uses computer programs that are capable of growth and change as they process new data. Using algorithms, Machine Learning allows computers to develop habitual responses based on the repeated […]