AI Revolutionizes Industries with Agentic AI and Edge Hardware Advancements

The AI landscape is rapidly evolving with advancements in agentic AI, edge AI hardware, and artificial general intelligence. Agentic AI is emerging as a full factory management solution, while edge AI hardware market is projected to reach USD 269.9 billion by 2032. Experts like Kay Firth-Butler and David Danks discuss the potential benefits and challenges of AI, including its limitations and the need for transparency and explainability. Meanwhile, institutions like the University of Oregon are incorporating AI into the classroom, and executives like those at Google DeepMind are warning of the risks associated with artificial general intelligence. Lawmakers are also seeking to establish regulations around AI to prevent its misuse. The importance of diversity and inclusion in AI development is also being highlighted, with women bringing unique perspectives and skills to the field.

Agentic AI next level intelligence

Agentic AI is emerging as a new level of artificial intelligence capability. It has the potential to be a full factory management solution that makes strategic decisions, solves problems, and keeps production running smoothly. According to Deloitte, half of leaders are interested in pursuing agentic AI and multi-agent systems. Agentic AI can automatically place orders, negotiate with suppliers, and reroute workflows to keep production on course. However, it also presents challenges such as multi-agent versus single-agent problem-solving.

Kay Firth Butler on AI and metaverse

Kay Firth-Butterfield, a globally recognized leader in ethical artificial intelligence, discusses the future of AI, the metaverse, and digital transformation. She explains how generative AI works and its limitations, such as the risk of hallucination. Firth-Butterfield also talks about the potential benefits and challenges of the metaverse, including its potential to deliver on its promises for business in the next five years. She highlights the need to address digital colonization and ensure fair and inclusive outcomes.

Edge AI hardware market growth

The Edge AI Hardware Market is valued at USD 24.3 billion in 2024 and is projected to reach USD 269.9 billion by 2032, growing at a CAGR of 19.8%. The market is driven by the growth of edge computing, increased demand for AI-powered edge devices, and decreasing costs of edge hardware and AI chips. However, power consumption and thermal management challenges, as well as security concerns, are restraining the market. The market is segmented by processor type, device type, and vertical, with key players such as Intel, NVIDIA, and Qualcomm.

UC San Diego professor on AI evolution

UC San Diego Professor David Danks explores academia's role in AI's evolution at a major national conference. He discusses the emerging focus on agentic AI, which can make decisions and perform tasks independently. Danks highlights the need for academics to understand the latest developments in AI and to provide perspectives on its implications. He also emphasizes the importance of building trust in AI systems and ensuring that they are transparent and explainable.

Women in AI and engineering

Noor Aftab discusses the importance of women in AI and engineering, highlighting the need for diversity and inclusion in the field. She explains how women bring unique perspectives and skills to AI development, such as data justice, explainability, and human-centered design. Aftab also emphasizes the need for mentorship and leadership opportunities for women in AI and encourages women to pursue careers in the field.

IMD launches new executive masters

IMD launches its first new degrees in 25 years, offering stackable Executive Masters in AI and Sustainability. The programs are designed to provide executives with specialized skills and flexibility, allowing them to shape their learning to fit their personal and professional commitments. The degrees can be completed in as little as 18 months or up to five years, with prices ranging from CHF 60,000 to CHF 70,000.

Lawmaker seeks AI regulation

Lawmaker Dina Neal seeks to establish guardrails and accountability around artificial intelligence, proposing legislation that requires AI companies to register and develop policies to prevent hate speech, bullying, and bias. The legislation also prohibits law enforcement from using AI to generate police reports and teachers from using AI to create lesson plans. Neal aims to prevent the misuse of AI and ensure that its development is aligned with human values.

Phenom showcases agentic AI

Phenom hosts a live HR Innovation Showcase to demonstrate the transformative power of agentic AI for hiring, developing, and retaining talent. The showcase features applied AI innovations, including X+ Ontologies, X+ Agent Studio, and verticalized X+ Agents. Phenom's VP of Product Management, Kumar Ananthanarayana, highlights the potential of agentic AI to bridge the gap between business objectives and ontologies, deploy AI agents that require zero setup, and enhance hiring, development, and retention with AI agents.

DeepMind warns of AGI risk

Google DeepMind executives warn of the risks associated with artificial general intelligence (AGI), emphasizing the need for urgent safety measures to prevent severe harm to humanity. They propose a mix of technical and policy interventions to address the challenges of AGI, including deliberate misuse, misalignment, accidental harm, and structural risks. The executives stress the importance of proactive risk mitigation strategies and continued research into AI safety.

UO incorporates AI into classroom

The University of Oregon is incorporating AI into the classroom, with professors across departments finding creative ways to add instruction on AI into their courses. The university is addressing ethical questions and ensuring that students understand the implications of AI. Professors are using AI to process medical data, develop code, and brainstorm ideas for writing topics. The university emphasizes the importance of disclosing AI use and encouraging collaboration among professors and students.

Key Takeaways

Agentic AI is emerging as a new level of artificial intelligence capability with the potential to be a full factory management solution.
The edge AI hardware market is projected to reach USD 269.9 billion by 2032, growing at a CAGR of 19.8%.
Experts warn of the risks associated with artificial general intelligence, emphasizing the need for urgent safety measures.
The University of Oregon is incorporating AI into the classroom, addressing ethical questions and ensuring students understand the implications of AI.
Lawmakers are seeking to establish regulations around AI to prevent its misuse and ensure accountability.
Women are bringing unique perspectives and skills to AI development, highlighting the need for diversity and inclusion in the field.
Kay Firth-Butler discusses the potential benefits and challenges of the metaverse, including its potential to deliver on its promises for business in the next five years.
Google DeepMind executives propose a mix of technical and policy interventions to address the challenges of AGI.
The University of Oregon emphasizes the importance of disclosing AI use and encouraging collaboration among professors and students.
Phenom showcases the transformative power of agentic AI for hiring, developing, and retaining talent.