Simona Maggini’s Post

🚀 The Rise of AI in Italy: Top 5 Use Cases Driving Transformation 🤖 We’re witnessing a major transformation across industries as artificial intelligence (AI) continues to reshape how we live and work. According to the latest CIO Survey, the number of companies in Italy investing systematically in AI more than doubled in 2023, and this growth trend is set to continue. By 2025, AI investments in Italy are expected to nearly triple, reaching approximately €1.25 billion. Here are the top 5 AI use cases currently making an impact: 1️⃣ Customer Care: 24% of companies are leveraging AI to enhance customer service, providing 24/7 support, reducing operational costs, and creating opportunities for continuous improvement through data analysis. 2️⃣ Targeting & Clustering: One in four companies uses AI to improve targeting, better understand customer behavior patterns, and enhance predictive capabilities, maintaining a competitive edge. 3️⃣ Asset Monitoring & Predictive Maintenance: 26% of companies have implemented AI to boost safety, prevent breakdowns, optimize maintenance, and reduce costs and risks. 4️⃣ Help Desk Efficiency: Over one-third of companies utilize AI for help desk operations, improving service efficiency, reducing costs, and enriching the customer and employee experience. 5️⃣ Forecasting: 35% of companies use AI for more accurate, faster forecasting, enabling better decision-making and optimized time-to-market strategies. As AI adoption accelerates, it is clear that the potential for growth and innovation is immense. The companies that harness these technologies effectively will undoubtedly lead the way in the years to come! 💡 #ArtificialIntelligence #Innovation #DigitalTransformation #AI #Technology #BusinessGrowth Source: https://lnkd.in/dv5k8vEj

In May two years ago, Ae_Altreconomia published "Ecologia Digitale", "Digital Ecology" in English, a collective reflection on the cultural, socio-economic and environmental impacts of digital innovation. Four months later, in November, OpenAI unveiled ChatGPT and, in a matter of a few months, turned the digital world upside down, magnifying two of the fundamental ecological issues highlighted in "Ecologia Digitale": data extractivism - Generative AI is rooted in the scraping of every content available on the internet, regardless of authorship and intellectual property -, and resource depletion - Generative AI is avid of electricity, water for cooling, precious and rare minerals for processing, land for ever larger data centres. The ecological impact is such that a company like Microsoft, at the heart of Generative AI and committed to be carbon positive by 2030, has recently reported a 30% increase in its 2023 carbon emissions due to higher computational load and related electricity consumption, building of new data centres and upgrading of processing infrastructure. The article linked discusses in more detail the extreme form of extractivism practiced by Generative AI and the additional environmental challenges it creates, calling for more responsible AI innovation.

Generative AI represents a cutting-edge technology that processes vast amounts of data, rapidly becoming a preferred tool for organizations seeking competitive advantages and improved performance. However, as users encounter increasing complexity in the information provided, concerns about the reliability of generative AI responses are emerging. To address these concerns, fostering trust through transparency is essential. In the transportation industry, generative AI is ushering in a new era, enabling fleet managers to access a wealth of information previously unimaginable. Current applications include safety analyses, predictive maintenance, route optimization, and monitoring of electric vehicles, among others. Advanced fleet management tools now offer concrete answers to complex queries by storing data threads to enhance future interactions while ensuring the protection of sensitive information. The transparency of AI systems is critical for user trust. Users should be able to understand how AI arrives at specific conclusions, which helps identify potential errors. This understanding is facilitated when AI tools provide comprehensive interpretations of user qu…

The UK government has launched a new platform aimed at helping businesses assess and mitigate risks associated with artificial intelligence (AI). Announced on November 6, 2024, this initiative intends to position the UK as a global leader in the safety verification of new technologies. The platform will provide guidelines and practical resources for companies, facilitating impact assessments and analyses of new AI technologies while also scrutinizing underlying data for potential biases in machine learning algorithms. Peter Kyle, Secretary of State for Science and Technology, emphasized that these resources will offer businesses the necessary support to utilize AI safely and responsibly, while also establishing the UK as a center of expertise in AI assurance. Ahead of the Future of AI Summit, he reiterated his commitment to prioritizing AI in the government's growth agenda, suggesting that full integration of AI into the economy could enhance productivity by 5% and generate an additional £28 billion in tax revenue. The government recognizes AI safety, including assurance technologies, as a competitive niche for the UK, leveraging the expertise of the …

A recent global survey by McKinsey on artificial intelligence (AI) reveals that 72% of respondents report their organizations have adopted AI in at least one business function, representing a significant increase from the previous year. The adoption of generative AI (gen AI) has surged, with 65% of respondents regularly using gen AI, nearly double the figure from just ten months ago. The survey also highlights the tangible benefits seen by businesses utilizing gen AI, including cost reductions and revenue increases in various business units. However, organizations are also recognizing associated risks such as data management, model management, and security issues, which they are actively working to mitigate. The survey identifies three archetypes for gen AI implementation: "takers," "shapers," and "makers," each with distinct approaches to utilizing gen AI tools. High-performing organizations attributing a significant portion of their earnings before interest and taxes (EBIT) to gen AI face challenges related to data and operational models. The survey also explores investments in generative AI and analytical AI, indicating that most organizations expe…

Very Interesting point of view on AI and Green Economy ....

Le domande da porsi prima di investire in AI - AI4Business: The content emphasizes the importance of being proactive and flexible in the rapidly changing business world. It highlights the potential of introducing AI-based software applications to optimize information flow, operational activities, and decision-making processes. The article urges businesses to invest in AI-supported automation, regardless of their technological maturity, and provides a list of questions to consider before integrating AI. It also stresses the need for thorough analysis and strategic decision-making when adopting new technologies to ensure maximum return on investment. The conclusion emphasizes the significance of not only choosing the right technology but also effectively managing the resulting change within the organization.

🤖 Navigating the AI Revolution to Enhance Human Potential 🚀 In today's rapidly evolving technological landscape, understanding the role of artificial intelligence is crucial for businesses and individuals alike. Recent discussions emphasize how AI can address real-world challenges and drive efficiency without compromising human creativity. Key Benefits: - **Efficiency and productivity:** AI reduces time spent on repetitive tasks, allowing teams to focus on strategic initiatives. - **Cost reduction:** Automating processes can significantly lower operational costs. - **Enhanced decision-making:** Data-driven insights enable better and faster business decisions. - **Ethical implementation:** Ensuring AI serves as a tool to complement, not replace, human capabilities. Practical Application: Consider the aviation industry, where AI assists in traffic control by providing enhanced visibility, yet relies on human oversight for handling critical situations. This synergy ensures both efficiency and safety. As we integrate AI into our workflows, it's essential to maintain the human touch and creativity that drive innovation. How is your organization balancing AI adoption with human-centric approaches? Share your thoughts or reach out directly to discuss best practices! #ArtificialIntelligence #BusinessEfficiency #Innovation #EthicsInAI #Productivity #CostReduction

🚀 Looking to effectively integrate AI into your business operations? The newly launched AI Observatory by Renato Brunetta at CNEL offers a strategic solution. 🚀 With this initiative, you can: - **Access a comprehensive database** of real-world AI applications across various industries. - **Engage in continuous dialogue** with key stakeholders to explore AI opportunities and address challenges. - **Exchange best practices** and foster international collaborations to stay ahead in AI adoption. Imagine having a centralized resource that not only showcases successful AI implementations but also facilitates collaboration and knowledge sharing. This can lead to improved decision-making, enhanced productivity, and a competitive edge in the market. Interested in leveraging AI to transform your business? Share your thoughts in the comments or reach out directly – let's discuss how the AI Observatory can support your growth and innovation! #ArtificialIntelligence #BusinessInnovation #AIObservatory #Productivity #Collaboration