Building AI competence is crucial to stay competitive in a rapidly evolving technological landscape, driving efficiency and productivity, making data-driven decisions, addressing complex problems, addressing ethical considerations, and harness job opportunities and economic growth.
We will use this space to spread information about what is happening within the field of - AI knowledge and competence.
Here you will find reports, videos, and other resources connected to this area.
Building AI competence is crucial to stay competitive in a rapidly evolving technological landscape, driving efficiency and productivity, making data-driven decisions, addressing complex problems, addressing ethical considerations, and harness job opportunities and economic growth. We see a need to create a space in which we gather information about what is happening within the field.
Below you will find several reasons why we should continue to build competence:
Technological advancement: AI is becoming increasingly prevalent in various sectors, including healthcare, finance, manufacturing, transportation, and more. By building AI competence, individuals and organizations can stay updated with the latest technological advancements and leverage AI tools and technologies to their advantage.
Competitive advantage: AI competence can provide a significant competitive edge. Organizations that possess AI expertise can develop innovative products, services, and solutions that cater to evolving customer needs. It can help streamline processes, optimize operations, and deliver enhanced experiences, ultimately leading to improved performance and market position.
Efficiency and productivity: AI has the potential to automate routine and repetitive tasks, freeing up human resources to focus on more strategic and creative endeavors. By building AI competence, organizations can identify areas where automation can be applied effectively, leading to increased efficiency and productivity.
Data-driven decision making: AI enables data analysis at an unprecedented scale and speed. Building AI competence allows organizations to harness the power of data, extract valuable insights, and make informed decisions. By leveraging AI algorithms, patterns, and predictive models, organizations can gain a competitive advantage in the market.
Addressing complex problems: AI competence enables the development of sophisticated algorithms and models to tackle complex problems that may be beyond the capabilities of traditional approaches. From healthcare diagnostics to climate modeling, AI can help in solving critical challenges and contributing to advancements in various fields.
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Building competence for AI Adoption together with University of Concordia, Canada | Webinar | 2023-11-24 | |
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2023-06-01 07:40
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EIT, together with Envisioning, developed an interactive visualization tool that enables navigation between emerging technologies that will likely impact the future of manufacturing in the following years. |
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2023-06-01 07:39
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One million people skilled in deep tech by 2025 |
LeADS, in the context of the Digital Europe Programme, aims to deliver insights into the changing Advanced Digital Skills (ADS) demands within a dynamic technological development context and current digital transformation to equip the education and training communities by providing roadmaps and guidelines. LeADS activities will ensure that all interventions related to advanced digital skills are in line with gaps present in the market, working closely with industries for the uptake of training, reskilling, and upskilling the workforce and communities. |
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2024-03-12 07:26
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Proactive steps are essential to prepare workers for AI's evolution from today's capabilities to its superhuman future. |
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2024-01-26 13:02
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A single factor could ultimately determine whether a company can execute on its business strategy and deliver on its goals: skills. Do your employees have the skills they need to drive personal and business growth? More and more companies are starting to understand the value of the skills-based economy, and, as a result, they are evolving to become skills-based organizations. The question is: Are you ready? |
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Artificial Intelligence (AI) is reshaping industries, fundamentally impacting the ways organizations operate, from Research and Development to Operations, from HR to Marketing (ARISA, 2023). The transformative impact of AI on various sectors brings opportunities (such as increased efficiency, cost savings, data-driven decision-making, and improved customer service). However, to materialize these opportunities, challenges related to the evolving AI workforce and the mismatch between current skill offerings and dynamic demands need urgent attention. |
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2023-06-01 07:30
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AI can’t replace every role. The highest job growth in 2023-2027 is expected to be in agriculture, lorry driving and education, says the World Economic Forum. |
The recent emergence of generative artificial intelligence (AI) has raised questions around whether we are at the brink of a rapid acceleration in task automation that will significantly save on labor costs, raise labor productivity, and increase the pace of economic growth. In this Global Economics Analyst, we provide an overview of AI’s potential macroeconomic impacts, and argue that if AI delivers on its promised capabilities, it has the potential to significantly disrupt labor markets and spur global productivity growth over the coming decades. |
What every CEO should know about generative AIQuantumBlack, Al by McKinsey Generative AI is evolving at record speed while CEOs are still learning the technology’s business value and risks. Here, we offer some of the generative AI essentials. |
With its unique mandate, UNESCO has led the international effort to ensure that science and technology develop with strong ethical guardrails for decades. |
Lunchföreläsning - RISE och Göteborgs UniversitetWebinarium - AI i högre utbildning Medverkande: Samtalet leds av professor Jonas Linderoth från Göteborgs Universitet. |
