How can AI drive digital innovation and disruption?

I think the biggest transformation will come in Healthcare. As this sector is already struggling with resources, AI has a huge potential of automating lot of mundane activities on behalf of the physician as well as the support staff, freeing them up for offering more quality healthcare. This has immense potential to bring down healthcare costs on a larger scale with direct impact on poorer nations where reach and cost remains a big issue. AI driven digital solutions can help in pre-diagnosis reducing physician time and allowing more bandwidth to address a larger population.

AI has emerged as a potent force driving digital innovation and disruption across various industries. AI excels at analyzing vast amounts of data to understand individual preferences and behaviors. This enables businesses to personalize customer experiences, offer targeted products and services, and optimize content delivery. AI-powered automation tools can handle repetitive tasks freeing up human resources for more strategic work. This enhances operational efficiency & reduces costs and improves accuracy. consider the specific impact of AI in different industries: Healthcare: AI-powered diagnosis Finance: Fraud detection, automated trading Manufacturing: Predictive maintenance Retail: Personalized shopping experiences.

AI fuels digital innovation and disruption by automating tasks, enhancing efficiency, and personalizing user experiences. In my opinion, it analyzes vast datasets for valuable insights, enabling data-driven decision-making. AI-driven chatbots and voice assistants elevate customer interactions. Predictive analytics refines targeting, optimizing marketing efforts. Embracing AI in strategy fosters agility, ensuring businesses stay ahead in the dynamic landscape of digital marketing, creating a transformative impact on industries.

Definir AI a nivel técnico es bastante complejo, pero yendo al contexto es básicamente la mejor herramienta que inventaron luego de la rueda 😆 Importa porque profundizando en su uso correcto, puede ser un driver de innovación y automatización a pasos agigantados (como ya lo es). Ahora el truco está en expandir su usabilidad para el beneficio de todos! Aplicaciones como Chat GPT, Bard, DALLE, Midjourney etc, son herramientas increíbles, usadas desde empresas gigantes hasta creadores de contenido con un nicho pequeño. Eso es la AI, una herramienta que te permite lograr tus objetivos 🙌

A dream of humans, having connected consciousness. A fully sentient ecosystem. AI will be extremely useful in aspects where human beings are required to make collective decisions, since it’s devoid of biases and ego, the AI powered decisions will be much more accurate than us Mortals. Its applications are limitless!

Artificial Intelligence🤖 is a game-changing technology that equips machines with human-like capabilities, including learning, decision-making, and problem-solving. 💡 AI's importance lies in its ability to automate complex tasks, analyze vast data sets, and provide innovative solutions, enhancing efficiency across numerous industries. AI is used widely: in healthcare🩺 to diagnose and plan treatments, in e-commerce🛍 to recommend items and provide chatbots for customer experience, in finance🏦 to prevent frauds and manage risks, in entertainment🍿 with AI-driven algorithms, in manufacturing🏭 to control quality, streamline production etc.

La IA es una revolución en la forma en que interactuamos con la tecnología, extendiendo capacidades cognitivas a máquinas. Su importancia radica en su versatilidad y eficiencia; desde mejorar el servicio hasta impulsar descubrimientos científicos. La IA es una herramienta poderosa para el análisis de datos, automatización de tareas y soporte en la toma de decisiones, lo que puede llevar a innovaciones que transforman industrias enteras. Su creciente integración en diferentes sectores evidencia su rol central en la conformación de nuestro futuro, permitiendo avances significativos en eficiencia y productividad, así como en la personalización de productos y servicios a escala.

AI accelerates digital innovations by improving decision-making, automating processes, and forecasting patterns. It revolutionizes sectors, fostering adaptability, effectiveness, and fresh opportunities while leading disruptive innovation in the digital sphere.

AI is the simulation of cognitive tasks using machines and math. They are statistical prediction machines – just like are our brains on a fundamental level. AIs don’t think like us (yet); but they're great at identifying patterns in data, and so they can reason to some extent.

"Customer experience" es el segundo nombre de la IA 😆. Solo tenemos que ver como Amazon analiza el comportamiento de sus usuarios para ofrecer experiencias personalizadas. Zendesk usa chatbots para resolver dudas y ofrecer soporte 24/7, mejorando el tiempo de respuesta. Sin mencionar que Starbucks está desarrollando AI para predecir las preferencias de los clientes y automatizar servicios. Basicamente mejora en muchos puntos, pero recalco 3: ☑ Resolución rápida ☑ Eficacia en recursos ☑ Disponibilidad 24/7

AI's transformative role in customer experience emerges vividly, as it seamlessly blends automated processes with a touch of human-like interaction. Envision AI-Agent skillfully handling call centre conversations on behalf of customers. AI Agent not only understands the request but also engages in these lengthy interactions, a task often seen as tedious by humans. This futuristic scenario is more than just a convenience; it represents a significant leap in personalized and efficient customer service. AI-driven interactions, including advanced chatbots, are set to mirror the depth and quality of in-person experiences in the virtual world, marking a shift towards highly personalized, efficient, and human-centric customer experiences.

Having in mind the AI developments, in my view there are 3 key areas that could enhance customer experience: -data - speed, computing power of collecting & analyzing data which could generate strong human-centric insights to be leveraged for customized consumer experiences -augmented consumer experience through audio, text chatbots -personalization at scale - content creation, delivered via optimal media touchpoints to the right person, at the right time

Embrace these AI catalysts to drive digital disruption and innovation in your industry 1. Task Automation: • Free human capital for strategic endeavors by automating routine tasks. 2. Personalization Prowess: • Harness AI's machine learning for tailored user experiences and content delivery. 3. Predictive Analytics Power: • Utilize AI's predictive analytics to make data-driven decisions, mitigating risks. 4. Customer Service Revolution: • Deploy AI-driven chatbots for 24/7 customer support, transforming experiences. 5. Rapid R&D Acceleration: • Expedite research and development with AI, shortening innovation cycles. 6. Human-Machine Collaboration: • Foster innovation by leveraging the collaborative synergy of AI and human expertise.

One of the main applications of AI for customer experience is the creation and customization of agents using GPT, Perplexity, or other technologies, training them with 3 key points: All detailed information about your product or service The main information about your persona (pain points, doubts, desires, fears...) The objection matrix (main questions your customers have about your product and its application) In this way, it's possible to implement AI in the product adoption journey and in user engagement so that it becomes more fluid and it's not always necessary to wait for the time a human would take to respond.

La Inteligencia Artificial está revolucionando diversas industrias al permitir la personalización masiva y optimización de operaciones. Empresas como Netflix la utilizan para personalizar recomendaciones y optimizar streaming; Spotify para curar listas y descubrir talentos; Airbnb en la coincidencia de usuarios y precios; Starbucks en personalización y logística; y Nike en diseño de productos y marketing. Esta adaptación de IA refleja cómo la tecnología puede ser aplicada para mejorar la experiencia del cliente y la eficiencia operativa. En su empresa, piense que servicios puede brindar mejor la IA que los mismos procesos construidos o dependientes de la interacción humana

The integration of AI across the following aspects not only enhances customer experience but also contributes to building stronger relationships, increasing customer loyalty, and driving sustained business growth. 1. Conversational Interfaces 2. Personalization 3. Immersive Experiences 4. Predictive Analytics 5. Dynamic Pricing and Offers 6. Sentiment Analysis for Proactive Engagement 7. Fraud Detection and Security 8. Voice of the Customer Insights 9. Efficient Customer Service with Virtual Assistants 10. Behavioral Analytics for User Experience Optimization 11. Augmented Customer Service Teams

As AI tools are deployed in workflows, workers will increasingly have more time to focus on human-to-human engagement. And, AI tools will make those engagements more efficient and hopefully enjoyable. For instance, a well designed chatbot or phone attendant can answer simple questions and make suggestions for customers at scale, at any hour, and in just about any language. Tailored generative AI solutions will eventually handle routine texts and voice requests with detailed, personalized and empathetic real time responses, and tap into your entire library of support documents.

La IA optimiza operaciones de forma exponencial 🚀 ☑ Automatización de procesos manuales ☑ Análisis de datos para insights accionables ☑ Mayor eficiencia en recursos y tiempos ☑ Personalización de productos y servicios También mejora drásticamente los KPIs críticos del negocio: costos, ingresos, experiencia del cliente y velocidad.

AI plays a pivotal role in fostering digital innovation and disruption by leveraging advanced algorithms to transform traditional processes. One way AI achieves this is by optimizing operations across various industries. Imagine a retail business implementing AI-powered inventory management. Instead of relying on manual stock checks, AI algorithms analyze historical sales data, current trends, and other relevant factors to predict demand accurately. This enables the business to maintain optimal inventory levels, reducing overstock or stockouts. The result is increased efficiency, improved customer satisfaction, and cost savings. Furthermore, AI can automate routine tasks, freeing up human resources for more strategic activities.

Envision AI as an impeccable assistant observing our actions in slow motion. As you begin optimizing tasks, AI has already completed the process. Undoubtedly, this capability proves to be a significant asset. While some fear AI "stealing" jobs, my perspective is that it will elevate overall productivity across various domains.

Optimizing operations with AI sounds a bit unattainable. But within the big word 'AI' there is the more tangible machine learning. With my teams we experienced the most impactful results when using machine learning to optimize production processes, of course optimizing for a specific parameters, sometimes throughput, but in most cases quality. The three steps for ultimate AI happiness in operations (when having quality issues): 1.) identify machines and processes related to poor product quality 2.) connect machines and processes by the means of IIoT in order to collect, store and analyse data 3.) conduct SixSigma project based on acquired data and build machine learning model to optimize production process parameters.

I love the idea of AI powered digital twins in manufacturing and supply chain operations. Digital twins can simulate the actual working of the factory in a digital form, and model different supply chain flows with far less risk using a combination of internal, external real data, as well as simulated data generated by AI. This could save huge sums of money in large operations, and possibly even improve worker safety.

Within the realm of digital strategy, the discourse often centers around the complexities of brainstorming methodologies. Navigating this landscape becomes more efficient and transformative with the integration of AI as a brainstorming tool. AI's ability to process vast datasets and discern patterns positions it as an invaluable asset for generating innovative ideas. Additionally, the implementation of automated brainstorming sessions, guided by advanced AI algorithms, facilitates the exploration of unconventional solutions and diverse perspectives, ushering in a more streamlined and insightful ideation process.

Creating personalized intelligences based on the best examples of effective marketing pieces from your product or your competitor's product. Some of the main applications are in ad conversions, creation of landing pages, ideas for emails and articles, and even building conversion funnels.

Artificial Intelligence (AI) plays a key role in optimizing operations across various sectors, enhancing efficiency and effectiveness. Here are some areas where AI makes a significant difference: 🔄 Process Automation 📊 Advanced Data Analysis 📈 Supply Chain Optimization 🤖 Predictive Maintenance 🚀 Continuous Process Improvement

El valor que genera la IA es prácticamente ilimitado 🤯 → Reduce costos operativos → Mejora experiencia del cliente → Describe patrones y pronostica tendencias de negocio → Produce contenido personalizado de forma automática Si la usas de manera correcta, puedes incrementar ingresos, lealtad y satisfacción del usuario final 🚀

The benefits are primarily around: speed to market, efficiency, and cost savings. The opportunities to use the AI as a tool for accelerating product innovation include making sense of unstructured data, for gaining deep insights into customer/user needs, as well as prototyping and testing a wider range of design options. Some of the biggest examples already are in biopharmaceuticals, software development code co-piloting, and using AI to make the super complex microprocessor chips (GPUs) used in AI data centers better and faster.

La IA es una herramienta que apalanca la estrategia de las empresas, capaz de generar valor agregado y ventajas competitivas significativas. Al desbloquear nuevos conocimientos y optimizar la eficiencia, la IA se posiciona como una capacidad clave en la oferta de productos y servicios, mejorando sustancialmente la experiencia del cliente y abriendo caminos para un crecimiento empresarial innovador y sostenible. Son pocas las cosas que se me han ocurrido y que le pregunto a la IA y no son capaz de resolverlas. - eficiencia - análisis - creación de contenido - investigación - automatización - fotos - videos - avatar Incluso… ya hasta se habla de la inmortalidad con los clones que se vienen creando

AI can identify revenue opportunities by analyzing market trends, customer behavior, and competition. It can also optimize pricing strategies and inventory management. Additionally, AI can streamline business operations, automate repetitive tasks, and reduce operational costs. This cost savings can be reinvested into growth initiatives.

The big challenge with AI is its own hype. AI can do great things, but is not a vluae per se. Especially with people not familiar with AI, it's essential to explain the general use cases & principles to them first - without, the ideas go crazy and once reality kicks in, the frustration grows. I can only recommend looking for clear use cases in the beginning - they might sound simple, but very often provide great value for the user if automated.

La capacidad de generar valor es intrínseca al hecho de ahorra tiempo en ejecución de procesos y en liberar a las personas. El verdadero valor de la IA es su capacidad para reinventar modelos de negocio completos. Al entender e incluso anticipar las necesidades cambiantes del cliente, la IA permite crear propuestas exponencialmente mejores. La evolución del mercado hace que cambien las necesidades y por ello lo hagan los trabajos. crea nuevos mercados, con mayor valor agregado y potencial de ingresos. Reinventa industrias enteras en torno al ser humano. Y su adopción es cada vez más decisiva para liderar el cambio desde la vanguardia de la innovación. La única vía es que tecnología y sociedad estén alineadas para garantizar su adopción.

All activities in the production process of a service or product tend to be misaligned. AI helps in different phases. It assists you in detecting and parameterizing these misalignments, and on the other hand, it helps you to address these misalignments to optimize the process. AI is not just a salesperson or an information manager for B2C; it should be seen as a tool for monitoring, alerting, managing, and adjusting in the business world. Just as in B2C, where the value is easily seen through interaction with customers, I see great value as a comprehensive LOG where you can fine-tune your production process. We should not only think about when to gain but also about stopping losses along the way. Value is generated but also lost.

El "cómo" tiene dos enfoques, herramientas y soluciones. Soluciones 👉 ↳ Chatbots 24/7 para ventas y soporte. ↳ Recomendaciones precisas para usuarios. ↳ Copywriting automatizado en redes sociales. ↳ Gestión inteligente de campañas digitales. Herramientas 👉 ↳ Zendesk, Intercom. ↳ Algolia. ↳ Chat GPT, Copy.ai ↳ Adobe Sensei. 🤯 Maximiza conversiones, tráfico y fidelización de clientes.

Integrating artificial intelligence (AI) effectively into your digital strategy is essential. Start by defining objectives, improving data and selecting appropriate AI technologies. Focus on improving the customer experience with chatbots and personalization, implement predictive analytics and automate repetitive tasks. Ensure security, regulatory compliance and provide training. Continuous monitoring and ROI measurement are essential for a competitive digital strategy.

AI provides a very broad toolset which *CAN* be applied to a digital strategy attempting to reach certain business goals. CAN does not mean SHOULD, not because everyone is talking about AI you should rush into it. Sometimes it is better to understand impacts before implementing solutions just to stay ahead of the curve. We saw this happen with social media, where lots of companies opened their social media presence with no clear goal or understanding only to close it months later when customers were laughing at them. Think before you act, the herd is not always smarter.

Entender que la IA es una capacidad y no una estrategia. La IA, debería estar en todos los procesos que diseñamos y en la misma automatización. Desde diseño de productos, hasta la seguridad de los mismos y su posterior mantenimiento y mejora. Para todos los momentos, hay cabida para la IA en el desarrollo de canales o capacidades digitales

O Marketing é uma das áreas que mais têm se beneficiado das vantagens da aplicação da inteligência artificial. Aplicações: Conteúdo com Base em Dados: Softwares automatizados geram conteúdo com base em pesquisas, liberando profissionais da pesquisa inicial. Implementação de Chatbots: Atendentes virtuais automatizados para cadastros e dúvidas básicas, liberando recursos humanos para questões mais complexas. Automação de Dados: Programas que armazenam, selecionam e comparam dados relevantes, economizando tempo na análise de métricas.

Integrating AI in your digital strategy requires aligning it with your overall business goals. Identify key areas for AI impact, like customer experience or operational efficiency. Implement AI solutions focused on these strategic areas. Also, cultivate an AI-literate culture within your organization. Invest in training to equip your team with AI skills. This ensures AI is not just a tech addition but a core part of your business strategy, driving innovation and competitive advantage.

A good digital agencies will lead on AI integration, incorporating advanced features in clients' products via AI transformation, operational ML pipelines, conversational search with language models, and LangChain-powered interfaces. Amid AI hype, discerning fundamental benefits is challenging; thus, up-skilling teams is essential for accelerated AI and ML utilisation, delivering genuine value. Your agency, acting as an extension of product and engineering teams or a dedicated development partner, should guide architecture and processes to seamlessly integrate AI into your SAAS platform, business applications, or website - ensuring practical implementation and tangible results for your business, users and data.

Think of food - we all need to eat. Yet, new generations don't like farming, it is hard work, high risk, low profitability. Number of farms in EU fell from 16 million in 2000 to 9 million in 2020, and is expected to fall to 3.9 million farms in 2040. AI is a crucial element for automation in agriculture. Without automation that will fill the missing labour positions in agriculture, there will be no food. AgTech is one of the industries embracing the AI the most - from smart sprayers, robotic harvesters to AI agronomic advisors like AGRIVI engage that guide farms to produce better.

One of the things that amazes me about AI is that I can upload a banner and ask how to improve the image, as it provides very clear and detailed instructions. I am learning how to become a better designer just by talking to ChatGPT. Isn't it amazing?

La Inteligencia Artificial (IA) está presente en muchos aspectos de nuestra vida cotidiana y en distintos sectores. Aquí algunos ejemplos destacados: 🌟 Asistentes Virtuales 🌟 Recomendaciones Personalizadas 🌟 Vehículos Autónomos 🌟 Chatbots en Servicio al Cliente 🌟 Diagnósticos Médicos Asistidos por IA 🌟 Robots en Manufactura 🌟 Sistemas de Reconocimiento Facial

Some great business examples: 1] AI can help us with vision. Where is that part of the machine? When was it replaced previously? Hey that wire should not be loose. We need to replace this part: how fast can it be delivered? 2] If you rely on getting goods/material/products deliverd, AI can help scan for possible disruptions. Highway closed due to snow? Extreme weather somewhere near your suppliers? AI can keep an eye out and inform you and even draft an email to that supplier asking for confirmation of delivery. 3] Tools like heygen or synthesia can make learning or sales much more engaging and interactive. I think these services might be the precursor of much more options like holograms for instance.

Dois exemplos práticos do uso de IA, que beneficia outras áreas da economia, que não a digital: Agricultura de Precisão: Na agricultura, a IA é aplicada para otimizar o uso de recursos, como água e fertilizantes, monitorar o crescimento das plantas e prever safras. Drones e sensores coletam dados, enquanto algoritmos analisam essas informações para tomar decisões precisas sobre o manejo das plantações. Tradução Neural Automática: Plataformas de tradução automática, como o Google Translate, usam modelos de tradução neural baseados em IA para oferecer traduções mais contextuais e naturais. Isso facilita a comunicação entre pessoas que falam diferentes idiomas, tanto por meio de texto quanto de voz.

Beside recommendations often AI is used to increase level of automation and productivity in large programs - eg in SW delivery . You can use AI for test case creation, code reviews, documentation and even for requirement engineering . This could give the human experts included in the programs more time to solve complex issues .

La IA está revolucionando sectores como el retail y el turismo. Este último, aunque más reciente en su adopción, utiliza la IA para impulsar eficiencia, personalización y rentabilidad. Herramientas como KideHospitality aprovechan la IA en hoteles para satisfacer necesidades de huéspedes de manera eficaz, proporcionando servicios personalizados conforme a sus preferencias. KideTravel brinda a agentes de viajes capacidades para automatizar tareas, desde gestiones administrativas hasta procesos clave como reservas o registro de huéspedes, optimizando recursos y mejorando la calidad del servicio, a la vez que se minimizan errores y costos. La IA se está convirtiendo en un pilar fundamental para la innovación y el progreso del sector turístico.

There are many ideas being put into practice; in our case, for example, we have developed AI like KideHospitality to serve guests in any type of tourist accommodation, KidePersonas which assists human resources in managing all communication flows, KideRRHH to aid in hiring or managing absences, KideFinder for document search, and other projects like parsing communication between different machines, traders, etc.

Consider the ethical and societal impacts of AI-driven digital innovation. As AI reshapes industries, it's vital to address issues like data privacy, algorithmic bias, and even potential job displacement. Ethical AI involves transparent data practices, fairness in algorithms, and ensuring AI complements human skills. Moreover, AI's role in addressing global challenges like climate change, healthcare, and education offers a broader canvas for innovation. By prioritizing ethical considerations and harnessing AI for societal good, businesses can lead in responsible innovation, building trust and sustainable growth in an AI-driven future.

Consider the possibility of AI technology hallucinating when providing data to it. Just because you trained the intelligence with information does not mean it will be infallible when dealing with the customer. The best ways to circumvent this are by providing not only the knowledge base but also the clearest and most redundant instructions so that the AI understands how to act in each situation. The best way to create these trainings is to conduct real tests with small samples and draw conclusions from the generated results.

I think AI can greatly contribute to customer data governance as well, by helping the appropriate teams properly tag, label and track campaigns and customer data fields, thus ensuring high data quality and timely data ingestion for activation.

En este espacio abierto para compartir, me gustaría añadir algunos aspectos adicionales sobre la Inteligencia Artificial (IA) que podrían ser de interés: Impacto Ético y Social: Reflexionar sobre cómo la IA afecta nuestras vidas y la sociedad, abordando temas como privacidad, sesgo y empleo. Desarrollo Sostenible: Cómo la IA puede contribuir a los objetivos de desarrollo sostenible, como en la gestión de recursos naturales o la lucha contra el cambio climático. Arte y Creatividad: Explorar el uso de la IA en la creación artística, desde la música hasta las artes visuales, y cómo redefine el concepto de creatividad.

La democratización de la IA permite a todas las empresas enriquecer la experiencia del cliente y procesos internos. La adopción de IA debe ser estratégica y alineada con la marca, sin seguir modas. Es clave equilibrar eficiencia con empatía, asegurando que la IA sea percibida como un complemento, no un sustituto humano. Se enfoca en crear experiencias únicas y anticipar necesidades, reforzando la confianza del cliente. Innovaciones como plataformas colaborativas y la curación de información, destacan por su capacidad disruptiva y práctica. Para finalizar, debemos garantizar la humanización de la tecnología, la aplicación holística de los recursos tecnológicos garantizando un pacto social para defender los intereses sociales y no económicos.