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 Data Science Needs More Than Scientists—It Takes a Team

Data Science Needs More Than Scientists—It Takes a Team

  • Posted by Marketing Daitan
  • On June 11, 2018
  • Agile, Data Engineer, Data Science, DevOps
Data Science projects are complex and usually result in producing pivotal technology tied to a company’s strategic growth. So, when we build a team, we start with foundational skills like Software Development, Data Engineering and (of course) Data Scientists; and we add DevOps Engineering and Quality Engineering—to ensure the net result is a product the company can use.
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 An AI-Powered Customer Experience Requires Breaking Down Data Silos

An AI-Powered Customer Experience Requires Breaking Down Data Silos

  • Posted by Marketing Daitan
  • On June 11, 2018
  • AI, Customer Experience, Data
Today’s consumer expectations cannot be ignored. Gartner predicted that by 2020 customers will manage 85% of their relationship with an enterprise without interacting with a human. The convergence of data, devices and technologies like Artificial Intelligence are making the vision a plausible outcome for businesses pursuing Digital Transformation.
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 How Does High Demand for Data Science and Advanced Analytics Skills Create Business Risk?

How Does High Demand for Data Science and Advanced Analytics Skills Create Business Risk?

  • Posted by Marketing Daitan
  • On March 11, 2018
  • Analytics, Business Outcome, Data Science, Hiring
BLOG - Data Scientist is the top job in the USA. And this is the case for a few years in a row according to Glassdoor’s annual report. Demand continues to outpace available resources. A quick search of LinkedIn shows over 11.5K open Data Scientist roles and over 7.4K Data Engineering roles in the USA alone. Incredible.
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 The Shift from Data-Centric to Event-Centric Thinking Underscores Digital Business Transformation

The Shift from Data-Centric to Event-Centric Thinking Underscores Digital Business Transformation

  • Posted by Marketing Daitan
  • On March 4, 2018
  • Architecture, Data, Event-Driven Architecture
One of the better outcomes of Digital Business has been that organizations are becoming outward-facing and more inclusive of their customers’ needs, reactions and feedback. As a consequence, their customer facing solutions are transforming into fully inclusive, engagement-driven ecosystems. This shift is driving a transition from retrospective data-centric thinking to event-centric thinking. Gartner comments in their May 2017 report, Champion Event Thinking to Excel at Digital Business:
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