Part of our social development process, schools are shaping us to be focused on answering questions. Only few are exploring the possibility that we are all naturally curious, by nurturing our ability to ask the right questions. This mindset is also replicated in the workplace. As usually categorized as challenging, some colleagues and managers even look unfavorably on those fresh questions which could lead all of us to drive further improvement and innovation. Today in Unexpected Data, you will hear the story of our guest that believes that data culture is about empowering each of us as well as the business.

Find Abed in multiple conferences and review his talk on his Youtube channel and on Twitter @AAjraou

Show Notes: https://unexpecteddata.com/mystory-abed-ajraou/

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Credits:
MyStory by Unexpected Data was created by Yudan Lin
This episode is edited and produced by Yudan Lin

Unexpected Data - All rights reserved

MyStory - Embedding Self Growth In Data Science Values With Abed Ajraou

Despite $180 billion spent on big data tools and technologies, poor data quality remains a significant barrier for businesses, especially in achieving Generative AI goals.
Published at:
https://www.eckerson.com/articles/poor-data-quality-is-a-full-blown-crisis-a-2024-customer-insight-report

Poor Data Quality is a Full-Blown Crisis: A 2024 Customer Insight Report - Audio Blog

This blog, the second in a series, explores the mix of infrastructure types that support modern AI.
Published at:
https://www.eckerson.com/articles/cloud-on-prem-hybrid-oh-my-where-ai-adopters-host-their-projects-and-why

Cloud, On Prem, Hybrid, Oh My! Where AI Adopters Host their Projects and Why - Audio Blog

Anthony Cosgrove, Co-founder at Harbr, tells us how successful data products focus on clear value propositions, tailored placement, intuitive packaging, and appropriate permissions.
Published at:
https://www.eckerson.com/articles/what-is-a-data-product

What is a Data Product? - Audio Blog

This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful.
Published at:
https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation

Streaming Data Governance: Three Must-Have Requirements to Support AI/ML Innovation - Audio Blog

Currently, only 17% of the world’s land and 8% of its ocean are protected. Without government action and commitment to protect the natural world, our most vital natural systems are at risk of collapsing.
 
As a Bloomberg Ocean Initiative partner and the winner of the 2024 Earthshot Prize in the ‘Revive Our Oceans’ category, the High Ambition Coalition for Nature and People - also referred to as HAC - is turning words into action, engaging with governments around the world to officially protect 30% of our land and ocean by 2030.
 
An intergovernmental group of 120 countries co-chaired by Costa Rica and France, HAC is the largest coalition of countries for nature. Since its inception, the HAC has been working alongside policymakers to provide the guidance and resources necessary to track their progress and follow through on their commitments to global conservation efforts.
 
On this episode of Follow the Data, Katherine Oliver sits down with Rita El-Zaghloul, Director of the High Ambition Coalition for Nature and People, to discuss the urgency of biodiversity protection, how winning The Earthshot Prize has helped the group expand its efforts, examples of progress that has been made so far, and her vision for the coalition's future.

147. Protecting 30% of the World's Land and Ocean by 2030

This blog offers five guiding principles to help CIOs, CDOs, and team leaders optimize hybrid data environments.
Published at:
https://www.eckerson.com/articles/balancing-act-five-principles-to-optimize-hybrid-cloud-environments

Balancing Act: Five Principles to Optimize Hybrid Cloud Environments - Audio Blog

All data management activities—whether internally or externally focused—should either reduce costs or grow earnings.
Published at:
https://www.eckerson.com/articles/book-review-how-to-make-money-with-data

Book Review: How to Make Money with Data - Audio Blog

Chief Data Officers are expanding data sharing to drive productivity, innovation, and better decisions. Data marketplaces simplify access by connecting users to ready-to-use, high-value data through a centralized, self-service platform.
Published at:
https://www.eckerson.com/articles/how-data-product-marketplaces-enable-seamless-data-consumption-and-generate-value

How Data Product Marketplaces Enable Seamless Data Consumption and Generate Value - Audio Blog

Discover best practices to scale Power BI effectively—improving performance, governance, and self-service across enterprise environments.
Published at:
https://datalere.com/articles/power-bi-best-practices-from-the-field-lessons-from-enterprise-deployments

Power BI Best Practices from the Field: Lessons from Enterprise Deployments - Audio Blog

Young people entering the workforce today are facing a brand-new challenge: Can I find a job that AI can’t touch? And just as important, what skills will make me irreplaceable?
 
Enter: the arts and cultural sector — and specifically, the Bloomberg Arts Internship program, also known as BAI. Launched in 2012, this program connects high school and college students with paid summer internships at arts organizations in seven U.S. cities.
 
Since its start thanks to an idea from Bloomberg Philanthropies Board Member Walter Isaacson, BAI has supported more than 2,250 internships at over 250 cultural institutions, giving students real-world experience while building skills every career needs — communication, problem-solving, teamwork, and civic engagement.
 
On this episode of Follow the Data, Katherine Oliver sits down with from Kate D. Levin, who oversees Bloomberg Philanthropies’ Arts program, on how the Bloomberg Arts Internship has evolved, the impact it’s having on participants, and why these opportunities matter to young people in a rapidly changing professional landscape.

148. Arts Internships in the Age of AI

Unexpected Data is the first austrian Data and Data Science centered Podcasting Service. Unexpected Data helps individuals and organizations to embed AI ethics by design in their digital journey.

Founded and hosted by Yudan Lin, our podcasts and services have been devoted to starting taboo-free discussions and give more awareness about Data and Data Science in our daily life.

By creating unexpected and inspirational content, Unexpected Data supports you in understanding what it takes to live in the world of Data Science, Machine Learning and Artificial Intelligence. Taboos are especially investigated: from sex, justice to the digital fight for our attention that leaves us out of the real life and many more.

By sharing career journeys, challenges had, lessons learnt, Unexpected Data highlights people and initiatives who support the common better good. Diversity and Inclusion are rooted in the identity of our podcasts and services. Each story and session encourage and inspire more women, LGBTIQA+, people of color, disabled talents to join STEM (Science, Technology, Engineering and Mathematics).

We are all responsible for the privacy and the ethical development of this green field.

So be curious and challenge your environment.