#003

Summary
In this episode, Angelika Klidas, an experienced advisor and trainer with Business Data Challengers Academy, shares her journey of reevaluating her career path after a life-altering accident. She discusses the concept of AI literacy and its relationship to data literacy. Angelika also highlights the challenges she faced when transitioning from a secure governmental role to the commercial private sector. She shares insights on navigating complex data-driven projects and emphasizes the importance of simplifying processes and ensuring data quality. Angelika's work on improving emergency dispatch time and analyzing coastlines for sustainability demonstrates the impact of data-driven solutions. The conversation explores the challenges of using and adopting data-driven solutions, such as dashboards, in decision-making processes. It also discusses the importance of data literacy, data governance, and responsible handling of data. The potential of generative AI technologies and their impact on organizations and individuals is examined, along with the need for critical thinking and avoiding overreliance on AI. The conversation concludes with a reflection on the future challenges of data, AI, and AI literacy, and the role of emerging technologies in addressing global issues.
Takeaways
* AI literacy is a subset of data literacy and encompasses understanding ethics, complex graphs, Python algorithms, and AI regulations.
* Transitioning from a secure governmental role to the commercial private sector can be challenging due to differences in work culture and demands.
* Navigating complex data-driven projects involves simplifying processes, breaking them down into fundamental steps, and ensuring data quality.
* Terminology and lingo consistency is crucial in data-driven projects to avoid confusion and misinterpretation.
* Angelika's work on improving emergency dispatch time and analyzing coastlines for sustainability showcases the impact of data-driven solutions. Using data-driven solutions, such as dashboards, in decision-making processes requires overcoming challenges and ensuring everyone is on the same page.
* Data literacy and AI literacy are crucial for individuals and organizations to effectively use and adopt data and AI technologies.
* Data governance and responsible handling of data are essential for trustworthy and ethical use of AI solutions.
* Generative AI technologies have the potential to transform the way organizations use data and interact with it, but critical thinking is necessary to avoid overreliance.
* Future challenges include improving data and AI literacy, addressing data governance and management issues, and responsibly handling data.
* Emerging technologies can play a significant role in protecting the environment and addressing global issues, but collaboration and diversity are essential for finding innovative solutions.
𝗟𝗶𝗻𝗸𝘀
Angelika on LinkedIn: / angelikaklidas
Tags
#AngelikaKlidas, #advisor, #trainer, #BusinessDataChallengersAcademy, #AILiteracy, #DataLiteracy, #CareerPath, #accident, #governmentalrole, #privatesector, #complexprojects, #datadriven, #processes, #dataquality, #emergencydispatch, #sustainability, #datadrivensolutions, #dashboards, #decisionmaking, #DataLiteracy, #DataGovernance, #responsibledatahandling, #generativeAI, #AItechnologies, #criticalthinking, #overrelianceonAI, #futurechallenges, #emergingtechnologies, #globalissues