Measure Company Culture With Machine Learning – COTM

measure company culture with machine learning

Measure company culture with machine learning? Sure…why not 😉

For our January Bay Area Ventures Conversation of the Month, a monthly conversation on Bay Area Ventures on SiriusXM with Donald Landwirth, we took a slightly different approach to measuring company culture.

Bay Area Ventures airs Mondays at 4:00pm Pacific Time / 7:00pm Eastern Time, on SiriusXM’s channel 111, Business Radio Powered by the Wharton School and replays throughout the week.

Almost every one of the guests on Bay Area Ventures talks about the importance of their company’s culture in terms of focusing their teams on the company’s vision or being the compelling force that drives their team to look forward to coming into work every morning.

It’s a recurring theme and hugely important aspect of the most successful companies we study.

As usual, the responses were great and we gained a lot of insight into the commonalities that people share regarding what work means to the individual.

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What Was the Best New Product of 2016? COTM

best product of 2016

What comes to mind when thinking about the best new product of 2016?

Does something jump out for you, or do you have to think about it for a minute?

Well, don’t think too hard if nothing comes to mind, because this is our topic for the Bay Area Ventures Conversation of the Month, a monthly conversation with Donald Landwirth, which you can participate in.

The show airs weekly, Mondays at 4pm, and airs live the third Monday of each month at 4:00pm Pacific Time / 7:00pm Eastern Time, and replays throughout the week.
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Are Housing Costs a Threat to the US Economy?

is the cost of renting an apartment or owning a home a threat to the US economy

Raise your hand if you feel housing costs are out of control where you live…

Okay, you can put your hands down now 😉

On a more serious note however, many of Americans (in-fact, 53% according to a recent Washington Post article) are sacrificing significant aspects of their lives to make up for an overall increase in housing costs nationwide. Items such as better healthcare, putting money away for retirement, better neighborhoods they once lived in and schools they sent their children to; while at the same time taking on more hours at work or picking up another job…which of course come with their own set of sacrifices.

With the housing crisis of 2008 still fresh in peoples minds, many are concerned that housing costs could be one of the top threats to the US economy.

In light of this, we decided – in partnership with Donald Landwirth, host of Bay Area Ventures on SiriusXM’s channel 111 Business Radio Powered by the Wharton School – to use Glimpzit‘s machine learning platform to analyze the unstructured data (images, video, text) generated from asking a targeted audience the question:

Do you feel the cost of renting an apartment or owning a home is currently, or will become, a top threat to the US economy (consider current costs and the next 5-10 years)? Please explain why you feel this way about the cost of housing’s effect on the economy.

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Why Did You Vote Trump? The faces behind the ballots – Part 1 of 2

The-Faces-and-Voices-Behind-Trump-Voters

Obvious statement of the week: The polls failed miserably to accurately predict the outcome of the election (and that might be an understatement).

While the media is scrambling with analysis on why polls and pundits were incorrect, one thing stands out like a sore thumb, and that is just how divided the country has become.

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How To Analyze Qualitative Data at Quantitative Scale – Part 2 of 2

how-to-analyze-qualitative-data-at-quantitative-scale

We all now know how powerful it can be to analyze qualitative data when it comes to discovering true customer intent, sentiment and behaviors…

However, until recently, technical limitations primarily in the form of the ability to gather, clean and analyze qualitative data-sets, have always been a challenge.

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Teaching Machines to Feel

teaching-machines-to-feel

The next generation of AI will actually transcend information processing, which is quantitative nature, and step firmly into the qualitative realm.

In the not so distant future machines will become sentient. Not in a
“Terminator” kind of way, but more in a way where they genuinely feel
empathy, happiness, even serenity. They are our trusted counselors; our thought partners that understand our ways of life and accompany us on the human journey.
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Top 3 Women That Have Left Their Mark in the Tech Industry

women-who-have-left-their-mark-in-the-tech-industry

If you were asked to name some people that have made significant contributions to technology, the first names that come to mind are probably famous CEO’s like Bill Gates or Steve Jobs.

However, years before they were even born, other great minds laid down the foundation for modern technology. In honor of International Women’s Day, we decided to highlight 3 women that have left their mark in the tech industry.
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