CIO Business Intelligence
MARCH 19, 2024
Airbus, a potential acquirer of the IT services company’s big data and security business, has walked away from the deal after completing its “due diligence” investigation. Airbus already has a cybersecurity business of its own, and manages vast quantities of data generated by its earth observation satellites. Another buyer?
Kitaboo
SEPTEMBER 4, 2023
The rise of mobile, video, AR, VR, big data, etc., Digital books, or eBooks, also allow publishers to feel the pulse of the market and adjust their content and strategies. Cost Saving on Production: Offset printing has been the dominant form of book printing for more than a century.
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Social, Agile and Transformation
JUNE 21, 2010
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 Listen - Some of the books on management strongly suggest setting expectations with your staff early.
Cloud Musings
APRIL 25, 2013
Personal comments and insight on cloud computing related technologies and their use in the public sector to support net-centric operations. He is a true thought leader in the industry, and an expert in complex distributed systems, including cloud computing, data integration, service oriented architecture (SOA), and big data systems.
Fountainhead
MARCH 3, 2009
I arrived at these observations when I speak with data center managers who admit that they dont have solutions to these issues. The net-net of these "blind spots" is: 1. Big Data. (6). Data Center efficiency. (1). When I tell them about Egenera, their eyes widen, and they go "you can do that?" Syndications.
Fountainhead
DECEMBER 4, 2011
The strategy behind these investments is broad, but what I heard was a 2-pronged approach: (a) Pursuing the technologies that are complementary to EMCs product set - technologies and ideas that are net-new to the company, yet extend our leadership in the data center market. (b) Big Data. (6). Data Center efficiency. (1).
Dataconomy
MAY 2, 2023
These experts are responsible for designing and implementing machine learning algorithms and predictive models that can facilitate the efficient organization of data. The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline.
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