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Top 10 yet2 Blog Posts of 2018

Yet2

Our team wrote a number of widely read blog posts in 2018, spanning the topics of artificial intelligence (AI) and machine learning, adjacency in tech scouting, startups and their comparative value proposition, anonymous searches in tech scouting and more. Tech Scouting Blog Posts.

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The Top 5 Technology Trends That Will Drive Innovation in 2018

hackerearth

Innovation is never easy, and in today’s world where everything is becoming digital, innovation is technology first and quite complex. Over the years, the linear model of innovation has been tweaked to include these variations—the phase gate model (e.g. NASA 1960), market pull (e.g. Machine Learning.

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The Synergy Between GPT and Microsoft Power Platform: How AI and Low-Code Development are Revolutionizing Business Operations

Acuvate

Recent advancements in Generative AI and machine learning (ML) have enthralled enterprises and consumers alike, as we recently saw with the launch of GPT-4. Power Apps, Power Automate, Power BI, and Power Virtual Agents are all parts of the new Power Platform, which was released in 2018.

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The Arrival and Potential of Knowledge Graphs into Our World

Paul Hobcraft

Struggling to get out of the technical jargon, so be ready and have patience. Most of what I have read and researched gives detailed explanations of how they work and throws around all the different jargon, protocols such as the need to understand the important semantic technologies, concepts, and methods like RDF, URI, SPARQL, SKOS, and OWL.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. This gives companies the much needed competitive advantage in the market. Data Analytics in Business. Myth 2: Data Analytics is extremely expensive.

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Insights from the LES 2018 Annual Meeting

Yet2

Our team members Kim Ayers , Danny Soltan , and Bob Miller recently attended the LES 2018 Annual Meeting , which, conveniently, took place here in Boston. Have the contract state who will own any co-developed technology. Separate it by territory, market, application, etc. Learn more here. and Canada.

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