Here's how you can spot AI opportunities in your industry.

In my role, my team and I utilise AI to help recognise and analyse patterns in historical data, and then to predict future patterns and trends. We can then apply these to generate a forecast, and from that forecast we can make optimised business decisions. For example when sales are forecasted to be high, more staff should be scheduled to work to meet that demand, and/or the business opening hours could be extended, and/or more stock can be ordered to replenish sold items. All of these things then lead to increased profitability. Recognising the patterns is the key first step.

My years of BFSI experience concludes that we should focus on the following to make orgs AI ready - Identify Pain Points: Analyze common challenges such as fraud detection, risk management, and customer service inefficiencies. - Leverage Data: Use vast amounts of transactional and customer data to identify patterns and insights. - Monitor Trends: Stay updated with AI advancements and industry trends through research, conferences, and publications. - Collaborate with Experts: Partner with AI specialists to explore potential applications. - Pilot Projects: Implement small-scale AI projects to test feasibility and impact. - Regulatory Compliance: Ensure any AI solutions adhere to industry regulations and standards.

The AI space is wide open right now. It's less aboout spotting opportunities and creating your own. Listen to the market. Find out what's missing by way of training, education, functionality. And fill the gap. I spent almost 2 years training on AI content creation. Creating AI prompts, teaching diverse brands how to attempt to get existing AI tools to recognize and appreciate diverse voices. I gave up on that after discovering the gap was too wide to fill with training. So, I created my own culturally smart AI copywriting tool.

?? A pesar de que la mayoría de procesos se pueden automatizar de una forma u otra, es importante medir y calcular el impacto económico que ese proceso tiene en la empresa. Tras conocer qué ahorro tendría en personal y tiempo el hecho de automatizar ese proceso, y habiendo valorado la inversión del desarrollo, se puede tomar una decisión más certera sobre si es buena idea o no automatizarlo.

Analyze your industry's data to identify areas where AI can unlock insights and drive decision-making. Look for large datasets, such as customer interactions, transactional records, or sensor data, which can be leveraged to train AI models. Analyze data to identify trends, correlations, and anomalies, which can inform AI-driven solutions. By analyzing data, you can uncover hidden opportunities for AI to drive business value and competitive advantage.

To uncover AI opportunities, scrutinize how your industry generates and uses data. Look for untapped sources that could offer competitive insights. Often, valuable data remains siloed or underutilized; AI can integrate and analyze this data, transforming it into actionable intelligence. The key is to understand your industry's data landscape and leverage AI to convert raw data into strategic decisions. Embracing this approach can significantly enhance your competitive edge and drive innovation.

While AI's capability to integrate and analyze data is pivotal, the real challenge often lies in establishing a clean, well-organized data governance structure that can feed into AI systems effectively.

Analizar datos es como descubrir un tesoro escondido en tu industria. Los datos son el alma de la IA, y para detectar oportunidades de IA, es esencial analizar cómo se generan y utilizan. Pregúntate si hay fuentes de datos sin explotar que podrían ofrecer información competitiva. Si tus datos están aislados o infrautilizados, la IA puede integrarlos y analizarlos para mejorar la toma de decisiones. La clave es entender qué tipos de datos produce tu industria y cómo la IA puede transformarlos en inteligencia procesable. ?Es como convertir datos en oro para tu negocio! ??????

Involucrar a expertos en IA es como tener una linterna en un túnel oscuro. Estos profesionales pueden ayudarte a descubrir oportunidades que no son obvias a primera vista. Te ayudarán a comprender las capacidades de la IA y cómo adaptarlas a las necesidades específicas de tu industria. Además, pueden brindarte información valiosa sobre las últimas tendencias y avances en IA que podrían beneficiar a tu negocio. Aprovechar su experiencia te permite desarrollar un enfoque estratégico para adoptar tecnologías de IA. ?Es como tener a los mejores guías en tu camino hacia la innovación! ??????

Sin lugar a dudas, una de las mejores formas de conocer otras aplicaciones de la IA y procesos automatizables. ?? Pregúntales por otros trabajos que hayan realizados y el tipo de cliente con el que trabajan. A veces, las mejores oportunidades de negocio surgen al analizar a tu competencia.

Engaging AI experts is crucial, but integrating their insights with domain-specific knowledge from your industry can create a powerful synergy that fuels innovation and applicability.

Step 1: Identify AI experts in your network or industry forums. Step 2: Initiate discussions or request informational interviews to gain insights into AI opportunities in your field. For example: Connecting with an AI specialist in healthcare could reveal insights into emerging AI applications in patient data management.

Engaging AI experts based on possible opportunity becomes even more impactful when you continuously connect the insights from these conversations. Conscientiousness is one of the key defining factors of what drives individual and shared professional success - even more important in an emerging field like artificial intelligence. Put in the necessary hours to plot your initiative to the business strategic frameworks before taking action. A well-plotted initiative is better set up for success through a better understanding of the why/how/what (Sinek's Golden Circle). Plus, more information means better risk-taking.

? Sin lugar a dudas, un arma de doble filo y que hace que muchos profesionales no lleguen a despegar. Es completamente imposible, más en un sector como la IA, estar al día de todas las aplicaciones y novedades que van surgiendo. Intentar hacerlo hace que se pierda el foco del objetivo principal (desarrollar proyectos) y te convierte en eternos aprendices que no dan el salto a la práctica. ???? Hay que estar al día de los avances, SI, pero de una manera general.

Trend monitoring should go beyond observing and include active participation in forums and networks that discuss future AI technologies, to anticipate shifts rather than just respond to them. Adopt a 'Trend Participant Strategy' by engaging in AI pilot projects and industry consortia. Example: Automotive companies joining consortia on autonomous driving technologies to share research and development insights.

A few things are essential when monitoring the latest trends of AI in your field: 1. Try to read up on case studies or white papers published by similar organizations or experts 2. Market analysis of competitors and what PR Materials out and price related to the AI efforts. Also look at independent organizations conducting similar reviews to get unbiased opinions. 3. Reach out to call leagues and experts you may know from working together in the past or currently who are also doing similar research to exchange knowledge faster. Teamwork makes the dream work!

Monitorear las tendencias es como tener un radar para detectar oportunidades en el horizonte. Mantente atento a las tendencias emergentes dentro de tu industria y en el campo de la IA, ya que esto puede revelar nuevas oportunidades. A medida que la tecnología de IA evoluciona, también lo hacen sus aplicaciones y los beneficios potenciales para tu negocio. Al estar informado sobre los últimos desarrollos de IA y cómo los utilizan los competidores o en otras industrias, puedes identificar formas innovadoras de aplicar la IA en tus propias operaciones. ?Es como tener una brújula tecnológica que siempre apunta hacia la innovación! ??????

Step 1: Subscribe to industry newsletters and follow thought leaders on social media. Step 2: Attend webinars and conferences focused on technology in your sector. For example: If AI is increasingly being used in retail for customer behavior analysis, consider how you could move into this growing niche.

AI adoption has to make ROI sense! The problem to solve with AI must move the bottom line, after all, AI is not cheap to implement nor maintain, therefore the choice of the right use case is essential for maximizing the impact on your business.

Consider how AI will affect your operations, employees, and customers. A thorough impact assessment helps ensure that AI solutions align with your business goals and deliver tangible benefits. Understanding the broader implications can guide you in making informed decisions about AI adoption.

At this moment, I would be careful about launching RAG systems or other customized gen AI solutions directly to consumers. The combination of hallucinations and unpredictably changing results is still risky. However, I support putting gen AI solutions in the hands of employees who are directly customer-facing. Service centers and sales departments are obvious choices. I would focus on high value or high cost processes. Remember that building, governing, and maintaining AI solutions is not inexpensive.

Microsoft is frequently using the term "Copilot" in the context of AI, and I believe this is an excellent approach for the current stage of development. While fully autonomous agents are possible, they can lead to unexpected outcomes. If the risks are low enough, it might be worth trying, but if customer expectations are higher, utilizing AI as a powerful tool for human operators is the better path forward.

Ever thought about how AI can revolutionize your business beyond just cost savings? The true impact lies in the bigger picture. For example, AI can optimize your supply chain, reducing costs and speeding up deliveries. But it goes further! AI-powered smart grids can optimize energy use, minimizing your environmental footprint. Before implementing AI, however, assess its overall value to your business. Don't just focus on initial costs, consider the return on investment and how AI can transform your operations. By taking a holistic view, you'll understand the true potential of AI and propel your business towards a sustainable and successful future.

Step 1: Identify the AI skills most relevant to your current or desired role. Step 2: Enroll in targeted courses or workshops to develop these skills. For example: If predictive analytics is key in your field, taking a course in machine learning could provide the skills needed to advance.

Planificar estratégicamente la implementación de IA es como preparar una misión crucial. Una vez que hayas identificado las oportunidades de IA, establece objetivos claros, asigna recursos y prepara a tu equipo para los cambios. Un plan bien pensado asegura que la integración de la IA en las operaciones de tu empresa sea fluida y que puedas aprovechar al máximo sus beneficios. ?Es como dise?ar el plano de una misión exitosa hacia el futuro de la innovación! ???????

AI projects are still RnD. For EVERY company. AI strategy is more about capabilities than the implementations themselves. It’s a way to provide environment where innovation with AI can happen. AI strategic way is aligning capabilities of AI and your team around your strategic goals. A proven framework we have developed at Neoteric is leading you from sourcing ideas through use case development and prioritization to production and continuous improvement. The key concepts are - set clear value capture - make data driven decisions - test what’s promising scale what’s working Let me know if I can share more

Standardizing processes within an organization can be greatly enhanced by AI. When teams follow consistent methods, a shared AI bot can be developed to streamline these tasks. This AI can assist with data entry, report generation, and project management, ensuring tasks are completed quickly and uniformly. This approach not only saves time but also promotes consistency and reduces the likelihood of errors across the organization.

In my experience, one of the best ways to identify AI opportunities is to engage with your data science team to understand what kinds of data you are collecting and how it could potentially be leveraged. For example, a retail company I worked with had years of transaction data that was going unused. By applying machine learning algorithms, we were able to uncover valuable insights about customer purchasing patterns that informed targeted marketing campaigns and product recommendations, leading to a significant boost in sales

Safety & security is a frontier of opportunities in your industry Take OpenAI. The company’s board has announced a Safety & Security Committee whose job will be to evaluate & further develop processes & safeguards over the next 90 days 90 days is a statement of how seriously this matter is being taken Needless to say, competition will field its own versions in this race At the conclusion of the 90 days, the Open AI Safety & Security Committee will share their recommendations with the full Board. Following the full Board’s review, OpenAI will publicly share an update on adopted recommendations in a manner that is consistent with safety & security Clear opportunity for fast movers — developers & regulators, even think tanks

Spotting AI opportunities in your industry involves: 1. Market Research: Stay updated on AI trends and how competitors are using AI. 2. Identify Pain Points: Look for areas where efficiency can be improved or problems can be solved with AI. 3. Customer Feedback: Listen to customers' needs and challenges to find AI solutions. 4. Consult Experts: Network with AI professionals and attend industry conferences. 5. Pilot Projects: Experiment with small AI projects to explore potential benefits. Leveraging these strategies can help uncover valuable AI opportunities in your industry. #DhandheKaFunda

Consider ethical implications, potential biases, and the need for transparency in AI applications. Ensure that your AI strategies align with your overall business goals and values.