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WHY IT MATTERS: Digital Transformation
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Curated by
Farid Mheir
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Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.
Farid Mheir's insight:
WHY IT MATTERS: machine learning is all about data and data analysis so no surprise that data analysis tools are exploding these days. The quadrant is interesting to ID the big players but jump to the end of the report for a market analysis that is worth the read. 
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From
fortune
Finding shabby abodes like these and making them respectable is the load-bearing wall of Amherst’s strategy. Amherst depends on humans to find cities, towns, and neighborhoods where fixer-uppers can become profitable, then relies on automation to pick individual homes. Negri, 31, heads the human team. He spends 150 days a year on the road overseeing Main Street Renewal’s operations from Atlanta to Denver, searching for “sweet spot” neighborhoods that combine affordable rents with a strong middle-income employment base.
Farid Mheir's insight:
WHY IT MATTERS: AI and big data applied to home improvement and renovation.
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Curated by Farid Mheir
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WHY IT MATTERS: this report from gartner review the top 12 buzzword you need to master for your geek xmas cocktail conversations ;-) As often with these, they are very generic and could end up being very difficult to implement. Nevertheless they point in the right direction, globally.