Today’s IT environments present unprecedented challenges for IT teams. Doing more of the same won’t cut it if IT teams are to address all of the urgent imperatives of their organizations. One […]
We recently did an AMA on Reddit. The most common question that came up was what is the difference between a data scientist and a data engineer. So we wanted to make […]
To be on top of your game at your game in the field of data science, reaching office on time and staying late, working day in and out is not the only […]
India is clearly on a progressive trend when it comes to adopting emerging technologies. Organisations from almost all industries are hiring data science experts in India to help them garner insights from […]
Your CEO forwards you an email from a popular management newsletter. The subject contains the two letters A.I. Straight away, you sink into your seat. Everyone is hailing AI, and the Data […]
The seemingly insatiable demand for data scientists continues to grow as organizations look for professionals who can glean insights from all the information they are gathering. In a report released in January […]
Data scientists are in demand, their remuneration is matching this, but what about their future, can their roles be automated? Will technology tools remove the nerd from data scientist, and open the […]
I recently came across this job description for a data scientist (anonymized to protect the innocent): Responsibilities: Translate business requirements into machine learning product. Architect and Build machine learning software products for […]
The role of the data scientist could be explained in a number of ways considering who you ask and on which day. The “look” of the data scientist is another point of […]
As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning and less on model creation and other routine tasks. As automation increases and business needs evolve, […]
BI Corner 