Manuel Allegue – Page 3 – Zentricx – Going Beyond Data-Driven

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.

Problem Definition: A Shared Responsibility in Data Management

In a data science strategy, the precise definition of the problem is crucial. Asking the right questions enables us to obtain insights, predictions, and useful knowledge for businesses in a big data environment. It is important to involve all stakeholders within the organization and use direct methods to frame the problem, integrating perspectives from different areas. Collaboration between data scientists and business users is fundamental to the success of the project.

With IoT, Golf Becomes Increasingly Precise and Competitive

The use of IoT and wearables in golf is revolutionizing the industry. Devices like smart golf clubs and sensors connected to the player’s glove analyze and improve the swing, offering instant feedback and personalized training programs. Additionally, real-time data tracking, such as the distance the ball travels, promotes competition and enhances the game. Overall, IoT makes golf more precise, professional, and appealing to all generations.

E-Commerce: The Retail Ally for Greater Profits

Preparing for the challenges of retail involves aligning strategies across all sales channels. Omnichannel approaches are key to delivering a positive customer experience and adapting to the growth of eCommerce. To achieve this, it’s essential to implement tools that communicate with each other, use data to improve, and be willing to change. Additionally, following tips like defining the ideal user, digitizing the product catalog, offering various payment methods, enhancing operational resources, and organizing logistics can help. Companies like Zentricx can assist in the digital transformation of retailers in Spain.

Data Drives the Revolution of Connected Clothing

The fashion of the future focuses on the functionality of smart clothing, which
integrates electronic components and sensors into fabrics. These sensors capture data from the human body and send it through smartphone applications, providing information on sports and health metrics. Examples include yoga pants that improve posture, socks that enhance walking and running techniques, and smart socks that detect ulcers. The smart clothing market is projected to reach USD 5.3 billion by 2024 due to growing demand and technological advancements in data capture and monitoring.

Data as the Engine for a New Robotics

Compared to other fields, robotics has particular characteristics because its goal is to enable a physical agent to interact with the real world.

Logistics 4.0: Technology to Win the Last Mile

The pandemic has boosted e-commerce and home deliveries, highlighting the
importance of the "last mile" in the customer experience. Logistics increasingly requires data management and the adoption of technologies such as artificial intelligence, Big Data, and the Internet of Things to meet consumer demands. Despite the growth of e-commerce, digitalization in the logistics sector in Spain is still lagging behind.
Optimizing the last mile is achieved through smart warehouses, route optimization with Big Data, and real-time tracking, which improves profitability and the customer experience.

Artificial Intelligence Improves Itself

We've seen it dozens—or even hundreds—of times in movies, novels, and science fiction series: suddenly, an artificial intelligence (AI) takes control, and things go off the rails for humans. With this unsettling precedent, we move toward a world where machines gain more and more abilities.

The Double Ring of Industry 4.0: Why Technology Needs to Put People at the Center

Industry 4.0 goes beyond digitalization and focuses on human impact. The convergence of disruptive technologies transforms industrial practices and creates products and services aligned with market needs. It’s necessary to combine technological enablers with a strategic, human-centered approach. The holistic vision of Industry 4.0 seeks trust and collaboration among all ecosystem players.

The ABC of a Data Science Process

The COVID-19 pandemic has negatively impacted the Spanish economy, especially affecting SMEs with lower levels of digitalization. The Plan to Boost the Digitalization of SMEs and EU funds provide opportunities to accelerate digital transformation. Data science is crucial, using data to make dynamic decisions and gain insights. The data science process involves defining the problem, preparing and studying the data, creating and validating models, and visualizing results. A skilled team and a systematic approach are necessary to fully leverage data and make informed decisions.