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How machines learn (a great video explanation of deep learning)

Idea to Value

In today’s dose of inspiration, I wanted to give you an insight into one of the most innovative technologies of the past few years which has the potential to revolutionise entire industries: machine learning. If you want to be a startup on the cutting edge of buzzwords, you have two major avenues right now.

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Maximizing Efficiency & Productivity: 3 Ways GenAI Optimizes Value Stream Management for Tech Leaders 

Planview

It’s no surprise the abundance of moving parts contributes to an ever-ambiguous world for software delivery. With a multitude of products and services that companies serve to customers, the recognition of Value Stream Management (VSM) in modern software delivery has never been stronger.

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Applying AI and Machine Learning to Patent Data Analysis

Yet2

Artifical intelligence (AI) and machine learning techniques are changing the world of patent data analysis. A patent document is a well-structured document, with title, abstract, claims, and description all clearly defined. These facts make patent data very suitable to be processed with machine learning techniques.

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The Future of Workflow Automation: Emerging Trends and Technologies to Watch – RPA/Intelligent Automation

Acuvate

From advanced analytics and artificial intelligence to low-code platforms and process mining, these innovations are set to drive productivity, enhance operational efficiency, and empower businesses to thrive in the digital era. RPA helps businesses automate an array of processes.

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Power BI: 5 Key AI Features You Should Start Using

Acuvate

In a time where the average enterprise generates large amounts of data on a daily basis, unless the data paves a path to gleaning valuable insights, on its own, data does not hold much value. AI Builder is a new no-code capability offered in the Power BI platform that allows users to automate processes and predict outcomes.

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5 Tech Issues That Can Slow Down Innovation

IdeaScale

The seeming slowdown in innovation is also partly due to expansion in outcome-based industries like finance and healthcare that are more difficult to measure than how many widgets one produces. Innovations like virtualization and utilizing proxy servers has been a boon for software research, development, and production.

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The Arrival and Potential of Knowledge Graphs into Our World

Paul Hobcraft

If only we can get them prised out of the engineer, data scientists, or software experts hands. As we all know the biggest buzz on the block today is “Artificial Intelligence”, well it is within this Knowledge Graphs we have a large part of its foundation. Building AI application requires Context.