July 2023 – Page 4 – Zentricx – Going Beyond Data-Driven

Are There Differences Between a CRM and a CDP?

Both CRM and CDP technologies are valuable tools but serve different purposes. While CRMs focus on managing customer interactions, CDPs concentrate on collecting and understanding customer behavior data. The choice depends on the specific needs of each business: sales and service roles may benefit more from a CRM, while customer management strategy roles might leverage a CDP more effectively. Ultimately, it’s important to assess what kind of information is needed and how it will be used to make more informed business decisions and provide personalized customer experiences.

Turismo y big data: el uno para el otro

La gestión masiva de datos se ha convertido en un aliado crucial para mejorar la oferta de servicios turísticos y facilitar la recuperación de la industria después de la pandemia. El uso de Big Data y herramientas de gestión permite a las empresas turísticas aprovechar los datos como materia prima para desarrollar estrategias efectivas y obtener una ventaja competitiva. La recolección precisa y holística de datos, desde la procedencia hasta las preferencias y comportamientos de los turistas, permite predecir necesidades futuras y personalizar los servicios. Además, la capacidad de compartir y combinar datos entre diferentes entidades y organizaciones proporciona una imagen más completa de los turistas y facilita la toma de decisiones ágiles y el desarrollo de productos y servicios adaptados.

Which Industrial Revolution Is Your Company In Today?

The Fourth Industrial Revolution presents challenges for companies. Although the digitization forced by the pandemic has paved the way, there is still a long way to go. The adoption of Data Intelligence and Big Data tools is low in Spain, and many companies lack a consistent data strategy. Successful transformation requires a comprehensive business strategy shift and the ability to anticipate disruptions.

Training Algorithms: Why AI Shouldn’t Be Left Alone

3D render of a technology background with code over male head

65% of companies in Spain risk becoming irrelevant if they do not adopt big data strategies, a sector growing at an annual rate of 30%. Machine Learning allows models to learn automatically but requires human supervision to avoid negative outcomes, as seen with Microsoft’s bot. The quality and quantity of data, as well as accurate and efficient labeling, are key to successful Machine Learning model training.

From Competitive to Collaborative: How AI Impacts the Empowerment of Human Talent

Automation and artificial intelligence (AI) are creating more jobs than they are replacing. By 2025, it is expected that 97 million new jobs will be created, surpassing the 85 million workers projected to be replaced. The demand for roles such as data analysts, AI and machine learning experts, data scientists, and synthetic data builders is constantly growing. Additionally, AI is driving hybrid work, where machines handle repetitive and dangerous tasks, allowing humans to focus on higher-value activities.

CRM: Enhancing Your Sales Has Never Been Easier

Customer relationship management goes beyond technological platforms and includes strategies, data analysis, and business objectives. CRM (Customer Relationship Management) systems enable comprehensive management of sales, marketing, and customer service, leveraging the proliferation of technology and personalization of relationships. The use of CRM has grown significantly, with more than 62% of Spanish companies using a CRM to analyze information and for business purposes.

How Robotics is Accelerating Vertical Farming

Vertical farms allow for sustainable and efficient crop production. Robotic technology and artificial intelligence are key in this process, optimizing everything from monitoring and planting to harvesting. The adoption of robotics in vertical farming will continue to grow, as it can address most challenges and improve the entire crop growth cycle.

Voice Recognition Takes Smart Homes to the Next Level

Voice recognition has advanced from interpreting just numbers to being used across various industries and devices. A voice assistant market worth $31.82 billion is expected by 2025. Voice-controlled devices in smart homes and the integration of artificial intelligence are revolutionizing automation and personalizing experiences.

Sports and AI: From the “Whiteboard Play” to the “Data Play”

Digital transformation is impacting the sports world, including football, through the use of artificial intelligence (AI) and data analytics. At the 2022 Qatar World Cup, teams had access to advanced statistics generated by FIFA to evaluate their performance. Data and video analysts were used to gather information during matches. The current challenge is not just to accumulate data, but to develop the ability to interpret it and obtain relevant information for strategic decision-making. AI and analytical tools enable the use of data to develop strategies based on strengths and weaknesses. The question is whether data will replace intuition in football.

From Industries to Homes: How Robots Are Shaping the Future of Smart Cooking

The new generation of robots in the culinary world uses IoT sensors and artificial intelligence to perform tasks in the kitchen efficiently. These robots can help address staff shortages, reduce food waste, and improve the customer experience. Examples include an autonomous AI system that automates cooking, a barista robot that prepares up to 400 cups of coffee, and a robot that fries chicken wings, increasing food production speed. The food industry is experiencing technological advances, and more complexity is expected in data management and training to program the robots.