Cómo TRANSFORMAR una EMPRESA con IA 🚀 Entrevista a CONSULTOR EXPERTO
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- Опубліковано 23 бер 2024
- Descrubre CÓMO SE IMPLEMENTA la IA en grandes expertas de la mano de un consultor especialista en adopción de la IA en grandes corporaciones.
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#inteligenciaartificial - Наука та технологія
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Excelente entrevista e información sobre la Implementacion Empresarial de la IA, sencillo, pero muy productivo para los que poco manejamos estas novedosas tecnologias, esperemos nuevas exposiciones de mayor complejidad, en la misma categoria , gracias a ambos expositores por la claridad de sus aportes y la importancia de los mismos, saludos desde Venezuela.
Hola interesante la entrevista deja varios cuestionamiento con el manejo de seguridad de datos y calidad, por qué se hace necesario aplicar fuentes o herramientas que garanticen con pantalla protectora de información y como limitar a la IA a acceder la información y no dejar guardar datos personales y privados, gracias
Felicitaciones Xavi, sube de nivel el contenido de tus videos, muchas gracias, cordial saludo.
Muchas gracias!
Esta area todavia esta en Paniales
bien Xavier buen contenido siempre...business intelligence powa! 🎉
Magnífico a charla, gracias
Interesante charla, gracias
¡Excelente! Muy interesante, gracias.
Gracias Xavi !
La conversaciónes entre médico paciente, sin privadas y ese método aportaría al remplazo mucho más rápido de la profesión de los médicos. Determinado más aún la información médico paciente para la autoretroalimentacion de la IA. Este conoclmiento que no es más d la experiencia humana recopilada en estas entidades tecnológicas.
Muy agradecida. Excelente contenido 👌👏
¡Muchas gracia!
buena conversa
Hola a todos
🎯 Key Takeaways for quick navigation:
00:13 *🎙️ Introduction to Raona's AI Projects*
- Raona, a technological consulting firm with over 20 years of experience, has been implementing AI projects for major corporations like Ferrovial, Cabang Naturgy, and Telefonica.
- The discussion focuses on Raona's approach to AI projects, from specific project development to tool adoption like Copilot.
01:51 *🤖 AI as a Transformational Technology*
- AI is viewed as a transformative technology by Raona, requiring adaptation to extract real business value.
- Over the past four years, Raona has conducted over 50 AI trials, recognizing AI's potential to change work processes.
03:27 *🔄 Types of AI Projects: Generative AI Tools vs. Process Transformation*
- Raona discusses two categories of AI projects: those utilizing generative AI tools like ChatGPT and Microsoft Copilot for everyday tasks and those focused on transforming processes using AI.
- Examples include creating automatic audio guides for museums and developing tools to transcribe medical consultations, improving efficiency and quality.
08:16 *🛠️ Approach to Client Adoption of AI*
- Raona outlines its approach to client adoption, involving a discovery phase to identify potential AI use cases aligned with business goals.
- The importance of MVPs (Minimum Viable Products) for validating technological solutions before full implementation is highlighted.
- Cultivating a cultural shift within organizations towards AI adoption is crucial, allowing employees space to experiment and integrate AI into daily processes.
14:25 *🛠️ Implementation considerations for AI solutions*
- Implementing AI solutions from big companies like Google, Microsoft, and Amazon requires leveraging advanced technological knowledge.
- Initial MVP (Minimum Viable Product) testing focuses on functional viability and cost analysis.
- Economic viability, security, latency, and additional requirements are essential considerations for MVPs before scaling up.
16:41 *💰 Considerations on the cost-effectiveness of AI solutions*
- Using AI technology may not always be more cost-effective or efficient than traditional methods.
- MVP development should consider the computational costs and overall economic feasibility.
- Adoption of AI tools in enterprise settings requires careful licensing evaluation and small-scale adoption before full implementation.
19:26 *🔄 Progressive adoption and cultural change in AI implementation*
- Adopting AI technologies involves both horizontal (across departments) and vertical (from top management) approaches.
- Initiating AI adoption with key user groups helps measure success quantitatively and qualitatively.
- Careful planning is necessary to avoid unintentionally creating competitive advantages among employees during the adoption process.
23:29 *🚀 Starting the AI journey in companies*
- Companies should start implementing AI solutions even with imperfect models, emphasizing constant evaluation and improvement.
- The rapid advancement of generative AI necessitates a collective learning process for both companies and individuals.
- Providing employees with accessible tools and training is crucial for successful AI integration, even in smaller businesses.
25:33 *🎓 Empowering small businesses with AI tools*
- Small businesses can benefit from understanding and gradually implementing AI tools to streamline processes.
- Exploring available tools through iterative testing and small-scale training can lead to significant improvements.
- Changing the mindset towards embracing technology and leveraging available resources is essential for small business owners.
28:58 *🛡️ Data Security Risks in AI Adoption*
- Implementation of AI involves utilizing generative models to generate responses.
- Companies face security risks due to inadequate data security measures, especially with generative AI models.
- Assessments are crucial to validate data security measures and ensure proper management and labeling of data.
31:16 *💼 Importance of Data Quality and Security in AI Adoption*
- Human negligence or lack of awareness often leads to security vulnerabilities in corporate data repositories.
- It's essential for companies to ensure that all data used or generated within their environment remains within corporate boundaries.
- Alongside security, ensuring data quality is crucial to obtaining accurate AI-generated responses.
34:43 *📊 Choosing Secure AI Solutions for Corporations*
- Free AI tools often come with the cost of data privacy and security, making them unsuitable for corporate use.
- Opting for enterprise-grade AI solutions like Microsoft 365 Copilot ensures data stays within the corporate environment.
- Prioritizing secure AI solutions helps mitigate risks associated with data breaches and unauthorized access.
39:32 *🔄 Challenges in Data Quality for AI Projects*
- Companies, regardless of size, must prioritize data quality before embarking on AI projects.
- Ensuring data quality is not just a concern for small companies but also for larger corporations with extensive data repositories.
- The success of AI projects heavily relies on the availability and quality of training data.
43:20 *🛠️ Implementing AI Technology in Corporate Settings*
- Implementing AI can lead to both faster and better outcomes, even if it requires more time initially.
- AI adoption may lead to increased demand for personnel rather than reducing operational time, as more tasks become feasible and profitable.
- The implementation of AI technology impacts team dynamics and operational demands, potentially increasing productivity and fostering business growth.
49:57 *🔄 Balancing Human and AI Workforces*
- AI technologies enhance productivity but do not replace human labor; they assist and augment human capabilities.
- Understanding the specific domain knowledge is crucial for effectively leveraging AI tools, as they rely on human guidance to provide valuable insights.
- Integrating AI into workflows improves efficiency, generates new knowledge, and enables the creation of content that was previously unfeasible.
54:01 *🚀 Initial Steps for AI Adoption in Small Companies*
- Foster a cultural shift within the organization to embrace AI technology and create an environment conducive to experimentation and innovation.
- Prioritize data security and quality assurance to ensure reliable and accurate results from AI systems.
- Begin with imperfect AI models, closely monitor their performance, celebrate successes, and continuously improve the process to drive organizational transformation.
Made with HARPA AI
Muchas personas en un futuro cercano se van ver afectadas, por el reemplazo de la.mano de obra, esto será contraproducente pues ya no habra ingrresos para muchos. El que no tenga tierra no tendrá como sobrevivir. Los alimentos todos serán automatizados, los trabajos de industria también, todo. Así el mercado tendrá que buscar compradores pues no habrá quien compre solo ellos en la cima de la cadena económica. El que tenga su tierra podrá cultivar y tener sus ingresos de ella, o el que const iya con su arte podrá seguir en un mercado cada vez más desigual. En fin todo se complicará para aquellos que no cuenten con el dineros suficiente, y los pobres desaparecerán de la tierra por la sencilla realidad futura.
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