Pular para o conteúdo principal

Preencha os detalhes para desbloquear o webinar

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.

Falantes

Saiba Mais

Treinar 2 ou mais pessoas?

Obtenha acesso à biblioteca completa do DataCamp, com relatórios, atribuições, projetos e muito mais centralizados
Experimente O DataCamp for BusinessPara uma solução sob medida , agende uma demonstração.

The State of Data & AI Literacy in 2024

June 2024
Compartilhar

Data & AI literacy is one of the most critical skills in today's economy. As we reach the second half of 2024, it's essential to understand the state of the data & AI skills and how they are evolving. In this webinar, we will explore the latest trends and developments in data & AI literacy and discuss how learning and data leaders are approaching upskilling their teams.

We will uncover original research commissioned by DataCamp, deep diving into insights provided by hundreds of data and learning leaders at the forefront of data & AI transformation. Join this webinar to learn how and which data & AI skills are becoming increasingly pervasive in organizations across industries, how leaders are adapting their teams and workforce to the era of data & AI literacy, distilled best practices learned from leaders in data & AI upskilling, and what the future holds for data & AI skills.

Key Takeaways:

  • A deep dive into original research commissioned by DataCamp, on how and which data & AI skills are becoming increasingly pervasive in organizations today
  • Ways data and learning leaders are adapting their teams and workforce to the era of data & AI literacy
  • Distilled best practices learned from leaders in data & AI upskilling, and what the future holds for data & AI skills.

Check out additional Data & AI literacy resources! 

Summary

Data and AI literacy are increasingly vital skills in today's fast-paced technological environment. The need to develop these skills parallels historical shifts like the introduction of computers and the internet. Organizations now face a dual challenge: the need to improve their workforce's skills to keep pace with digital innovations, and the necessity to build a culture that supports data-driven decision-making and AI integration. The 2024 state of data and AI literacy report highlights these challenges and offers insights into skill gaps, the significance of data and AI competencies, and strategies to address these divides. As organizations increase investments in AI, many face a lack of adequately skilled personnel, accentuating the urgent need for comprehensive training programs. Moreover, the report emphasizes that while AI literacy complements data skills, both are interconnected and necessary for innovation and competitive advantage.

Key Takeaways:

  • Data and AI literacy are critical for organizational success in the 21st century.
  • 57% of organizations report a data literacy gap; 62% report an AI literacy gap.
  • Data skills support decision-making; AI skills drive innovation.
  • Organizations with extensive upskilling programs experience transformational outcomes.
  • Active learning and personalized training are key to effective upskilling.

Deep Dives

The Need for Data and AI Literacy

Over the past few decades, the skill requirements in organizations have significantly evolved due to technological advancements. The rise of generative AI has increased the demand for data and AI lit ...
Ler Mais

eracy, making these skills as fundamental as computer literacy was in the 1980s. The ability to interpret data, make data-driven decisions, and understand AI concepts are now considered essential across industries. As technology continues to disrupt traditional industries, organizations must adapt by building a culture equipped to handle these changes. According to a survey, 77.6% of leaders cite cultural and people-related issues as the primary obstacles to becoming data-driven, emphasizing the urgent need for a shift in organizational mindset.

Addressing the Data and AI Skills Gap

Organizations cannot simply rely on hiring to fill the data and AI skills gap due to a limited talent pool and the unsustainable nature of salary inflation. Improving existing employees' skills has become a strategic priority. The report shows that organizations with comprehensive training programs experience significant improvements in decision-making quality and innovation. However, only 25% of organizations currently offer AI training to their employees. The emphasis is on creating interactive, personalized learning experiences that not only impart skills but also ensure their applicability in real-world scenarios.

The Significance of Data Skills in Decision-Making

Data skills are key for enhancing decision-making processes within organizations. The ability to analyze and interpret data allows teams to make informed decisions, thereby increasing productivity and encouraging innovation. The report highlights that 93% of leaders deem data-driven decision-making as extremely important. This emphasizes the need for organizations to build a workforce adept in data analysis, visualization, and manipulation. These skills are foundational, enabling employees to leverage tools and technologies effectively, regardless of their technical background.

AI Skills: More Than Technology

While technical skills like prompt engineering and AI system development are important, the report shows that a basic understanding of AI concepts and responsible AI practices are equally significant. Leaders prioritize these skills to ensure ethical AI usage and to mitigate risks associated with AI implementation. As noted, "Understanding AI systems is key for using them effectively," pointing to the need for a comprehensive approach to AI literacy that includes both technical and ethical dimensions.

Relacionado

white paper

The Learning Leader's Guide to AI Literacy

Find out how learning leaders should be approaching AI literacy within their organization, focusing on the what, why, and how of fostering organization-wide AI literacy.

white paper

The Learning Leader's Guide to AI Literacy

Find out how learning leaders should be approaching AI literacy within their organization, focusing on the what, why, and how of fostering organization-wide AI literacy.

white paper

Data Literacy for Responsible AI

Learn how data literacy is the currency that powers responsible use of AI

webinar

Spreading Data & AI Literacy Across Your Organization

Learn how to devise a data and AI strategy that aligns with your business strategy, and how to combine technology and training to increase the data and AI literacy across your company for business success.

webinar

Spreading Data & AI Literacy Across Your Organization

Learn how to devise a data and AI strategy that aligns with your business strategy, and how to combine technology and training to increase the data and AI literacy across your company for business success.

webinar

From Data Literacy to AI Literacy

Join data literacy pioneers, Jordan Morrow & Valerie Logan, as they discuss the emergence of AI literacy, key steps leaders can take to foster it, and more. 

Hands-on learning experience

Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers

Learn More

Upskill your teams in data science and analytics

Learn More

Join 5,000+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Don’t just take our word for it.