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What is TOGAF? An enterprise architecture methodology for business

CIO Business Intelligence

was released in 2011 and the most recent version, TOGAF 10 was released in 2022. A framework for transformation What is an enterprise architect? The Open Group took over TOGAF in 2005 and released TOGAF 8.1.1 in November 2006. More on advancing enterprise architecture: What is enterprise architecture?

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Winning the Future: Digital Transformation, the Cloud, and AWS

Sisense

Digital transformation is a term that’s been thrown around since the 90s, but what does it mean? For most businesses, digital transformation means aligning all of your systems towards a new, more efficient and effective paradigm, something on which you can build the future of your business.

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12 famous ERP disasters, dustups and disappointments

CIO Business Intelligence

Panorama Consulting Solutions, which regularly surveys businesses on the outcomes of their ERP projects, shows in its 2022 report that 81% of projects met ROI expectations a year or more after go-live. The move to a cloud-based ERP system came several years into a broader digital transformation at Ranpak. What happened?

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Sustainable Petrochemical Company Expands Risk-Based Inspection Philosophy

CIO Business Intelligence

To illustrate, from 2011 to 2021, IVL collected over 72 billion post-consumer PET bottles for recycling, which prevented 1.6 IVL expects ROI at the PNO facility to total 5 to 20 times the cost of implementation over the next five years. million tons of plastic waste from going to landfill and reduced 2.4

Risk 98
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Welcome to the Era of the Augmented Marketer

Sisense

In a world of rapid technological change, digital tools for marketers are having a moment. Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise. to overcome before they become competitive as well.