Margarita Fernández de Prada to Discuss AI at Schola Foundation Event
Iberdrola’s Global Transformation Director, Margarita Fernández de Prada, will be illuminating the discussion on artificial intelligence (AI) with her insights at a conference in Valladolid. The event titled “Artificial Intelligence: An Opportunity for Value Creation” is scheduled for Wednesday, April 24, and will be held at the AC Palacio de Santa Ana Hotel in Arroyo de la Encomienda.
Fernández de Prada is set to explore the ins and outs of machine learning, emphasizing how it has evolved significantly over recent years. She will spotlight specific use cases where AI has revolutionized business process transformations, while also highlighting the potential for generating new opportunities through Generative AI, a cutting-edge advancement in the field.
The risks associated with AI will also be a focal point of the discussion. Companies are urged to be knowledgeable about these challenges to ensure control and compliance with the AI Regulation enacted by the European Union on March 13, which regulates AI use in a risk-based approach.
Fernández de Prada plays a vital role at Iberdrola, the leading energy group in Spain and the world’s second-largest electric utility by market cap. Responsible for empowering businesses with technology know-how for process transformation, she supports growth and efficiency. Her responsibilities further extend to assuring cyber security and robustness in these transformative times.
Important Questions and Answers
– What is the role of a Global Transformation Director in relation to AI?
A Global Transformation Director oversees the integration of technology, such as AI, into a company’s operations. They ensure the technology aligns with the company’s goals, optimizes processes, and drives innovation while managing risks and maintaining compliance with regulations.
– What are some potential opportunities provided by AI?
AI can enhance efficiency, reduce costs, personalize customer experiences, and create new products and services. It enables data-driven decision-making and can uncover insights from vast amounts of information to improve business outcomes.
– What are the risks and challenges associated with implementing AI?
Risks include ethical concerns, such as bias within AI algorithms, privacy issues, and job displacement fears. Technical challenges encompass data quality, interoperability, and AI model explainability. Ensuring compliance with regulations like the European Union’s AI Regulation is also critical.
– What was the significance of the recent AI Regulation enacted by the European Union?
The European Union’s AI Regulation aims to ensure safe and ethical deployment of AI by establishing legal requirements for high-risk applications. It prioritizes transparency, accountability, and users’ rights, examining issues like facial recognition and surveillance technologies.
Key Challenges or Controversies
– Regulatory Compliance: Companies must navigate a complex landscape of global regulations, including the EU’s AI Regulation, which can impact development and deployment strategies.
– Data Privacy: AI often depends on large datasets, which raises concerns about the protection of personal data and privacy rights.
– Employment Impact: There are concerns that AI might replace human jobs, although it may also create new roles and require skills upgrading.
Advantages and Disadvantages
– Advantages:
– Efficiency: AI automates routine tasks, freeing up employees for higher-value work.
– Innovation: AI encourages the creation of new business models and solutions.
– Insights: AI can process and analyze data at scale, providing actionable insights.
– Disadvantages:
– Cost: Significant investment in technology and talent acquisition may be required.
– Complexity: AI systems can be complex to implement and manage.
– Dependence: Over-reliance on AI could lead to vulnerabilities, including security risks and potential loss of skills.
For those interested in more information on AI or related topics, suggested links to reputable sites include:
– IBM AI
– Microsoft AI
– NVIDIA AI
– DeepMind
For general AI regulations and governance, EU’s official resources can be accessed at:
– EU AI Regulation
The source of the article is from the blog lokale-komercyjne.pl