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Backing Sustainability, Digital Health, Future Work Trends

Backing Sustainability, Digital Health, Future Work Trends
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Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology will support three new research projects led by MIT faculty members Jessika Trancik, Anette "Peko" Hosoi, and Thomas Malone.

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Embracing the Future: Unleashing the Power of Sustainability, Digital Health, and Workforce Transformation

The Convergence Initiative for Industry and Technology from MIT and Accenture has recently announced its selection of three new research projects that

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Ways to Make Sustainability More Viable via Crowdsourcing

Open innovation frameworks are helping organizations develop new ideas and insights for their sustainability efforts.

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MIT Center for Collective Intelligence's Climate CoLab spins out and migrates to Wazoku's global Challenge Community InnoCentive

/PRNewswire/ -- The MIT Center for Collective Intelligence (CCI) today announced that its Climate CoLab—a global platform that crowdsources new ideas to...

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Centaur Labs Raises $15M in Funding

Centaur Labs Raises $15M in Funding
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[Women in Tech] Opportunities come to those who ask for them, says Katya Ivanova of Acronis

[Women in Tech] Opportunities come to those who ask for them, says Katya Ivanova of Acronis
Katya Ivanova, VP – Worldwide Inside Sales, Acronis, says there are fewer women in tech due to wrongful perception. It is perceived that tech is for men and not for women, and this perception starts building up early on.
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Katya Ivanova,
VP – Worldwide Inside Sales, Acronis, was born in Ukraine. From a young age, she was good at both languages and mathematics, which made her university degree choice hard, and she had quite a wide variety of specialities to choose from.
She
decided to pursue a master’s degree in French and English languages from Kiev, which she says gave her an academic background and taught her to look at things more broadly.

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How to Explain AI, ML, and NLP to Business Leaders in Plain Language

Informationweek
How to Explain AI, ML, and NLP to Business Leaders in Plain Language
Your ability to explain artificial intelligence and its components to business leaders could mean the difference between acceptance and resistance. Here's how to do it.
When I visit with non-IT corporate executives and ask them about artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), they tell me that they have initiatives underway. But they don't exactly know what AI, ML, and NLP are.
Trying to explain what AI, ML, and NLP are, how they work, and how they deliver results for the business isn't easy. Yet, all of these technologies have prominent roles in analytics as IT deploys them. It's incumbent upon CIOs and IT leaders to find ways to break down these technologies and their business deliverables in plain language for non-technical stakeholders.

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