Kieran Gilmurray and Company

The European Union Artificial Intelligence Act was adopted at the end of May 2024 and came into force on the 1st August 2024. The AI Act is designed to unify how AI is regulated across the single market of the 27 EU Member States. It also has important extraterritorial implications, as it covers all AI systems impacting people in the EU, regardless of where these systems are developed or deployed from. Compliance obligations are significant, and largely determined by the level of risk the usage of an AI system poses to people’s safety, security, or fundamental rights. In addition, obligations apply along the AI value chain. Read this super explanation from EY to learn more. #ArtificalIntelligence #AIContent #EU

Ireland’s refreshed National AI Strategy is here to drive AI innovation while safeguarding public trust. This updated strategy emphasizes trustworthy AI development, public sector innovation, and enterprise growth—all underpinned by robust governance and ethics. ?? Key Takeaways 1. Commitment to safe, responsible AI with EU AI Act implementation. 2. Support for SMEs and public servants in adopting AI tools. 3. Investment in a National AI Research Nexus to unify efforts. 4. AI upskilling initiatives to meet workforce needs across sectors. 5. Strategic development of AI infrastructure, from HPC to data centers. 6. Focus on sustainability to balance innovation with environmental goals. ?? Repost to share with your network! What are your thoughts on Ireland's AI strategy? Let’s discuss! ?? #AI #TrustworthyAI #NationalAIStrategy #Innovation #Ireland

AI Cybersecurity: What Every Leader Needs to Know ?? AI is reshaping industries at an incredible pace, but it brings unique security risks. Here’s what C-suite executives and business leaders need to consider. 1. Guidance & Oversight: Establish a responsible AI committee. Oversee AI’s ethical, secure, and compliant use. A structured leadership team is essential for mitigating high-risk incidents. 2. AI Lifecycle Management: From design to decommissioning, ensure continuous AI monitoring and secure data handling. Secure coding, threat modeling, and regular assessments are non-negotiable. 3. Data Governance: Control access, ensure data integrity, and comply with privacy regulations like GDPR. Data quality is paramount for AI performance and trustworthiness. 4. Model Security: Build robust models by focusing on validation, transparency, and regular testing. Prevent vulnerabilities through secure model updates and incident response mechanisms. 5. Cross-Sector Integration: Addressing AI-specific risks across sectors enhances a unified defence against cybersecurity threats. 6. Fostering AI Literacy: Develop the workforce with AI skills and cybersecurity knowledge. Promote awareness campaigns to bridge the skills gap in AI security. ?? Repost to be the first to share these insights with your network! What do you think? Share your thoughts below! ?? #AI #AIContent #ArtificialIntelligence #GenerativeAI #Automation #KieranGilmurray #GenAI #Business #Innovation

Unlocking the Power of Generative AI: A Deep Dive into Saudi Arabia’s Digital Future In a rapidly evolving AI market, Saudi Arabia is leading the charge. Oliver Wyman's latest analysis of Saudi’s generative AI (GenAI) evolution, offers a comprehensive view into how AI is reshaping Saudi Arabia from healthcare to finance. This isn't just about the tech—it’s about the bold vision of Saudi Arabia’s transformation under Vision 2030, the investments that are fuelling unprecedented economic growth, and the strategic initiatives designed to mitigate #GenAIs notable risks while seizing new skills and business opportunities. As a future focused country, staying ahead of these technological shifts is essential, and Saudi Arabia is investing to do just that I would love to see Ireland adopting a similar strategy and create an even richer, deeper high tech, high knowledge #GenAI infused economy for its highly educated workforce (62%?of individuals aged?25-34?in Ireland hold a third-level qualification). What do you think of Saudi Arabia's approach to developing #GenAI and its economy? #AI #Business #Vision2030 #SaudiArabia #GenerativeAI #AIContent #KieranGilmurray

Enterprises are at a crossroads. Are they choosing AI that does more of the same faster or AI that accelerates real transformation? Explore Pega’s original research to learn what 500+ global decision makers think about AI in their enterprises. Uncover key research insights and perspectives on AI including: ?? AI adoption, expectations for its business impact, and success measures. ?? Importance of AI skills and experiences in hiring new employees. ?? Transparency, trust, and other considerations for AI – and its impact on IT spend. ?? AI usage in the business across ‘left-brain’ and ‘right-brain’ solutions. ?? Three types of AI and what it means for the Autonomous Enterprise future. As ever, this is an excellent piece of research from Pega which is well worth reading. #AIContent #Pega #ArtificalIntelligence #GenerativeAI #AI

Is Generative AI a boon or bane for the planet? Generative AI - or '#GenAI' are the words on every innovator, tech leader and future-savvy person's lip. 2024 has seen a whole number of generative AI models and products released this year – including OpenAI's ChatGPT and DALL·E, Google's Bard - to great excitement and acclaim. But as we marvel at #GenAI's tech capabilities, we should remember the environmental cost and benefits of this amazing technology. The massive energy use behind Large Language Models (#LLMs), a type of generative AI that focuses on understanding and generating human language, is undoubtedly causing concern. For example, the BBC reported that AI has driven a 48% increase in Google emissions, making its 2030 target of net zero all the more challenging. However, as Deloitte points out, generative AI also opens up a world of possibilities, including for environmental sustainability. For instance, we could harness the power of generative #AI to create future climate scenarios and then bring these scenarios to life, inspiring positive behavioural change. We could also use generative AI to help code better climate models, simulate responses to climate policies, improve manufacturing processes, and improve the interpretability of and access to climate risk analysis to support better decision-making at corporate and governmental levels. The possibilities seem vast, diverse and useful.' Read this excellent Deloitte UK article to learn more - https://lnkd.in/euhbrewU My belief is that AI and generative AI are too significant and influential not to be utilized, but we must proceed with caution and consideration for the planet. It's not about stopping progress, but about ensuring it's done responsibly. It would be wonderful to see humanity progress forward with these technologies driving innovation and to do so sustainably. We have time to do both, meaning this should be an AND conversation, not an EITHER OR conversation, but time will tell. What are your thoughts on this topic? I'd love to hear your perspective. #GenerativeAI #ArtificialInteligence #AI #environment

Generative AI is the 'steam engine of the mind,' poised to revolutionize our professional and personal lives, says Silicon Valley pioneer Reid Hoffman. Reid Hoffman, co-founder of #LinkedIn and a partner at Greylock Partners, draws a compelling parallel between generative AI and the steam engine, emphasizing its transformative potential. In a recent podcast with #McKinsey’s Lareina Yee, Hoffman explains how generative AI is set to energize all language-based capabilities such as communication, reasoning, analysis, sales, and marketing. The discussion highlights how #AI's ability to incorporate both IQ and EQ can enhance individual and collective performance, making it an invaluable tool for businesses and personal growth. Hoffman encourages leaders to experiment with #AI to fully understand its capabilities and implications for their industries. With 'AI advancing rapidly, the real question isn't whether it will impact us, but how and when. Dive into the full conversation to explore how generative AI can be harnessed for innovation and improved team dynamics with yet another excellent piece by McKinsey. ?? https://lnkd.in/ea8Ky2G7 #GenerativeAI McKinsey & Company #ai #ArtificialInteligence Image: McKinsey

Amid tightening labor markets and a slowdown in productivity growth, Europe and the United States face shifts in labor demand, spurred by #AI and #automation say McKinsey. McKinsey's updated modelling of the future of work finds that demand for workers in STEM-related, healthcare, and other high-skill professions would rise, while demand for occupations such as office workers, production workers, and customer service representatives would decline. By 2030, in a midpoint adoption scenario, up to 30 percent of current hours worked could be automated, accelerated by generative AI (#genAI). Efforts to achieve net-zero emissions, an aging workforce, and growth in e-commerce, as well as infrastructure and technology spending and overall economic growth, could also shift employment demand. But what do you think? #AI #GenAI #AILiteracy #KieranGilmurray #McKinsey

#AI is here to stay. To outcompete in the future, organizations and individuals alike need to get familiar fast. This super series of?McKinsey Explainers?dives deep into the seven technologies that are already shaping the years to come. https://lnkd.in/eS_bPudD #AI #GenAI #GitHub #AILiteracy #KieranGilmurray

Unlocking the Future of Healthcare with AI: Insights from CSIRO's Latest Report The Australian e-Health Research Centre's (AEHRC) latest report, "AI Trends for Healthcare," offers a detailed analysis of how AI is transforming the healthcare sector. From enhancing diagnostic accuracy to predicting disease outbreaks, #AI's potential is immense. This report highlights four key trends driving this transformation: 1. Interoperability: Seamless data exchange to improve patient care and system performance. 2. Cloud Computing: Secure data storage and high-performance computing capabilities. 3. Personalized Healthcare: Tailored treatment plans based on comprehensive patient data. 4. Data Analytics as a Service: Bringing algorithms to data for real-time insights. However, the report also underscores the need for ethical #AI implementation, emphasizing frameworks for safe, transparent, and accountable AI usage. This is crucial as AI systems increasingly impact critical areas such as diagnostics, treatment planning, and patient monitoring. Every decision needs to be documented - HALLUCINATIONS are not allowed! Key Implications: 1. Enhanced Patient Outcomes: AI-driven tools can improve early diagnosis and personalized treatment, leading to better patient outcomes. 2. Operational Efficiency: AI can streamline administrative tasks, reduce clinician burnout, and optimize healthcare resource allocation (i.e., from 60% of time spent on admin to 15%). 3. Future-Ready Workforce: Education and training are essential to equip healthcare professionals with the skills to leverage AI technologies effectively. 4. The report also showcases ground-breaking case studies, including AI's role in monitoring antimicrobial resistance, improving prostate cancer diagnosis, and supporting aged care. These examples highlight AI's impact across healthcare. As exciting as these are, we need to navigate digital health transformation responsibly. By doing so, we can unlock new levels of efficiency, accuracy, and personalization in healthcare, ultimately improving the quality of care for all in an ethical and inclusive manner. #AI #HealthcareInnovation #DigitalHealth #AIinHealthcare #FutureOfHealthcare #EthicalAI #HealthTech #CSIRO #ThoughtLeadership