Social, Agile and Transformation
OCTOBER 9, 2012
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 and business transformation. Big Datas Managerial Challenges. competitors.
CTOvision
JUNE 15, 2015
They also launched a plan to train over a million data scientists and data engineers on Spark. IBM will educate more than 1 million data scientists and data engineers on Spark through extensive partnerships with AMPLab , DataCamp , MetiStream , Galvanize and Big Data University MOOC.
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TM Forum
OCTOBER 3, 2021
It went from relying solely on a small, highly centralized analytics team to putting data analytic capabilities within the reach of hundreds of employees, many with little or no previous IT knowledge, through its “Analytics at the Edge” transformation program. secure platform where they can analyze,?visualize?and
Social, Agile and Transformation
APRIL 1, 2013
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 and business transformation. Why is this a Big Concern? big data. (20).
Social, Agile and Transformation
APRIL 23, 2013
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 and business transformation. Five Types of Data Visualizations. big data. (20).
Social, Agile and Transformation
APRIL 5, 2013
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 and business transformation. Social, Agile, Transformation Pages. big data. (20).
CIO Business Intelligence
JUNE 7, 2023
These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. This data in turn is used to train and serve machine learning models.
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