Posts Tagged ‘Data Science’

As everything in this world matures and goes through the steps of evolution, Data Science is not much different. Even though it became more affordable for the companies to jump on the Data Science bandwagon and generate quick wins, Volume, Velocity, and Variety are still the bottleneck for most of the Artificial Intelligence (AI) projects. […]

Most of the time as a data scientist I get asked the question, what is the difference between Machine Learning and Statistical Learning? Even though you would think that the answer is obvious, there are a lot of novice data scientists that are still confused about those two approaches. As a beginner data scientist, it […]

On October 12, 2017, Gluon became available to the public. Microsoft’s partnership with Amazon finally has a chance to outshine Google with its great TensorFlow. Gluon is a deep learning multiplatform tool which currently utilizes Apache MXNet and soon will work on Microsoft Cognitive Toolkit (CNTK) as well as other platforms to come shortly after. […]

It is no secret that a data science and analytics specialty was one of the hottest and fastest growing careers in 2017, leading to resource shortages (as denoted by the picture below). However, in 2018 and beyond, a data scientist will evolve into data engineer, a data steward, and a governance lead. Every field will […]

Organizations are turning to self-service data visualization and analytics tools like Tableau to explore enterprise data without limiting users to pre-defined questions or IT requests. We’ve helped many companies across a variety of industries implement these data discovery solutions with great results. The following high-level overviews are a sample of these implementations, highlighting the power […]

In the last 6 months, my customers and I have been on a journey with some of the largest cloud data lake vendors, open source Big Data vendors, and a team of the smartest Big Data architects that I’ve worked with in my career. As we explore this journey, often our clients are looking to […]

Welcome to “Big Data and You (the enterprise IT leader),” the Enterprise Content Intelligence group’s demystification of the “Big Data” . The often missing piece of the Infrastructure as code movement emerging from the DevOps space is what we think of as DataOps. Big Data technologies are uniquely poised to fill this gap because they […]

What do Mattel, Abby Wambach, Cirque Du Soleil, and George Clooney have in common? I’ll wait for you to Google it… Did you come up with the answer? According to John Mellor, Adobe’s VP of Strategy and Business Development, they all are boldly creative in a world driven by data. This is what’s required to make […]

How do computers see the world?  Can they tell if we are happy?  Can they predict what we are going to have for dinner next Tuesday?  Can they recognize when we are sick? Well, my iPhone can.  Sort of. I was (finally) recovering from a nasty cold last week and I opened the Health app on my phone and noticed that […]

The end of 2015 is fast approaching, with December looming just a week away. For most people, December is packed with the hustle and bustle of last-minute gift shopping, or end-of-year projections and budgets for 2016. Often in the sway of all this activity, many are so focused on the approaching New Year that they […]

Is Data Scientist a Data Analyst OR vice-versa? I googled this and got more than a 1000 websites that provides this differentiation. So my thought was to consolidate everything I learnt for people who choose their career path in one or the other. If you check Gartner’s Hype Cycle of Emerging Technology, the peak of […]

Data science is a discipline conflating elements from various fields such as mathematics, machine learning, statistics, computer programming, data warehousing, pattern recognition, uncertainty modeling, computer science, high performance computing, visualization and others. According to Cathy O’Neil and Rachel Schutt, two luminaries in the field of Data Science, there are about seven disciplines that even data scientists in training […]