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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Like the Avon case study above we have seen these in the wild, working for good: Link data to outcome. Everything Changes.

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Innovate What’s Next: How Living Labs Brings Ideas to Life

CIO Business Intelligence

If anything, the past few years have shown us the levels of uncertainty we are facing. Infosys brings expertise to conduct hackathons, ideation workshops, and murmuration campaigns in customer organizations to generate ideas from a grassroots level.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Jupyter Community Workshop , Jun 22-23, Córdoba.

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Generative AI readiness is shockingly low – these 5 tips will boost it

CIO Business Intelligence

Fortunately, a playbook exists to help organizations manage the enormity of the technological change genAI presents, while cutting through the fear, uncertainty and doubt to jumpstart business growth. You’ll also convene workshops articulating strategy and build consensus around what organizational readiness will look like.

IT 116
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How Can Citizen Data Scientists Help My Business Succeed?

Smarten

By incorporating analytics into day-to-day activities and allowing access for business users, the business can encourage the transition from business user to Citizen Data Scientist and create a comprehensive system of analytics with governance and collaboration to ensure security, appropriate access, mobile use and fact-based decision-making.