Remove Analysis Remove Artificial Inteligence Remove Reference Remove Software Developers
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Making a Case for Digital Forensics

Business and Tech

The contents are updated and there are the beginnings of subjects like ethics and software development life cycle, but the bulk is still algorithms, coding, and platforms. Although there are exciting developments in machine learning, the broad topic of artificial intelligence dates back to the 1950s.

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From Waste to Value: Value Stream Management and AI in Action

Planview

The idea of cutting waste, a principle from manufacturing, is relevant more than ever in software development and knowledge work as a means to increase efficiency. This highlights the critical need for understanding where waste is coming from within the software delivery lifecycle and developing strategies to mitigate it.

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2018: Innovation - Trends and Opportunities

hackerearth

We live in an amazing era where things like autonomous cars, personalized medicine, and quantum computing are becoming real as we speak; Artificial Intelligence, cryptocurrencies, advanced automation, deep learning and concepts like Universal Basic Income are about to reshape our world -- what an exciting era to live!

Trends 45
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What Is Business Intelligence?

Collective Innovation

Business intelligence is the collection and analysis of data to support decisions at all levels of the organization. In order to have business intelligence one must first have knowledge and it must be accessible. This may involve the use of Business Intellignce (BI) software. Data Analysis.

Survey 40
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What is design thinking and how can it help you innovate?

hackerearth

Simon , an influential twentieth-century social scientist, published a book titled “The Sciences of the Artificial” in 1969. At this point, referring to consumer research is helpful to answer questions like “What other information about the customer is required to make decisions?”. Conclusion.

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The Innovation Stack

The Inovo Group

The term ‘knowledge’, as used here, refers to a hierarchy of data-information-knowledge-understanding-insight [1] (we’ll leave out wisdom for now). A useful analog is the concept of a ‘full-stack’ used by software developers to create complex software systems. Dark green shows the current state of AI software in general.