How can AI drive digital innovation and disruption?

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.

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 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!

AI can do a lot in terms of personalization to the user behavior, as it can analyze behavioral signals and create a relevant users experience, that doesn't require building thousands of audience segments that would dilute your targeting. An example of this is Pencil (trypencil.com) which is an AI tool to create assets for brands on a large scale that can adapt to many users' behaviors. AI-powered asset optimization is also another example, which uses machine learning optimization of base creatives to generate assets that is more likely to covert a customer. That applies to advertising solutions like Google's performance max, Meta's advantage , tiktok's Smart Performance Campaign, etc..

"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.

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.

Latest reports on AI commercial utilization form the likes of BCG & Mckinsey are listing some great use cases like: Manufacturing: where AI is being used to optimize production processes, predict equipment failures, and improve quality control. Healthcare: where AI is being used to diagnose diseases based on pattern recognition, develop personalized treatment plans, and automate administrative tasks. Finance: where AI is being used to detect fraud, manage risk, and automate financial transactions. And as it analyzes trading patterns, some companies are training it to forecast market volatility. Retail: AI is being used to personalize customer experiences, optimize inventory levels, and predict demand and even customize landing pages.

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.

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.

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.

AI can serve customers in an efficient way, that benefits the brands. For example you can implement an AI-powered chatbot to answer customer questions and provide product recommendations 24/7. Businesses can also use AI to qualify leads to predict sales opportunities, and automate sales processes specially with companies that have to rely on offline tactics to convert leads into sales. AI can also identify negative sentiment in customer interactions and trigger targeted interventions to improve the customer experience before it escalates.

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

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.

Some of brilliant uses are: - Nike Fit that uses a smartphone app and AR to scan your feet and recommend the perfect shoe size and model for your unique shape. - Unilever's virtual chef uses AI to analyze user preferences and dietary restrictions, then suggests personalized recipes using their available ingredients. - Modiface, acquired by L'Oreal, uses AR to virtually apply makeup looks on users' faces through their smartphones or store mirrors.

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.

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.