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The power of data in the AI revolution for the Pharma industry

How important is data for AI to be efficient? Is the pharmaceutical industry data-ready to exploit AI? Is the industry aware of the importance of well-governed information? Are efforts being made to have clean data that AI can exploit/use? Is there coordination between departments for proper data management? Past and present Artificial intelligence (AI) is transforming the pharmaceutical industry by driving progress in drug research and development and optimising clinical trials to personalise treatments and improve business operational efficiency. Before a company can successfully carry out an AI-based project, it is necessary to understand that data quality and organisation are fundamental to building these systems. An artificial intelligence model reaches its full potential when it is nourished by soundly managed data; without an efficient strategy in this regard, the capabilities of these technologies are severely limited. For many years the pharmaceutical industry has relied on disorganised systems and separate databases to manage crucial information. In the beginning, clinical records were paper-based and processes were manual; there was little integration between laboratories, hospitals and manufacturers. As digitisation has progressed, there has been a qualitative change in data collection; however, the same main challenges such as data quality, interoperability and security remain. Artificial intelligence is now emerging as a key agent of transformation; however, its impact depends on our ability to manage data in this new digital era. The critical points that define success In the pharmaceutical industry, artificial intelligence developments need to have a large set of organised and structured data to operate efficiently; however, there are companies that face difficulties in data management which would delay or even prevent the implementation of AI-based solutions. Collecting large amounts of information is not enough One of the main difficulties companies encounter when implementing artificial intelligence is the lack of quality in the data used. Inconsistent, duplicate, incomplete or unstructured data can lead to inaccurate and biased modelling. To prevent this, it is essential to carry out clean-up and standardisation processes before introducing any artificial intelligence system. In addition, it is crucial to have a detailed record of the origin of the data to ensure its reliability and proper compliance with regulations. Collecting large amounts of information is not enough; it is crucial to organise it strategically for optimal benefits. Establishing proper data governance involves setting clear quality standards and ensuring secure access to information to comply with regulations such as the GDPR in Europe or the FDA in the US. In addition to this, having an efficient and secure storage infrastructure enables agile real-time data processing to improve responsiveness and support AI-based decision making. One of the most important challenges in the pharmaceutical field is the dispersion of information in different systems, even within the same work team. To make artificial intelligence projects successful, it is crucial to ensure compatibility between these data sources. This implies the adoption of integration standards, such as FHIR (Fast Healthcare Interoperability Rapid Resources) in clinical settings, and the use of flexible structures to facilitate efficient data exchange. Due to the pharmaceutical industry's handling of sensitive information such as patient and clinical trial data, security and compliance become critical in the management of such sensitive data, making it crucial to implement robust cybersecurity and access control systems, as well as ensuring traceability through blockchain or other currently available technologies. Adhering to regulations such as HIPAA, GDPR and FDA guidelines not only protects information, but also contributes to the establishment of trust between participants in the medical sector. (Gobierno de España, 2024) The role of technology companies: architects of the future To achieve success in an artificial intelligence project, it is advisable to adopt an organised approach to information management: First assessment - Examine the current data situation and identify possible gaps. Standardisation and normalisation of data: Application of techniques for cleaning and structuring information. Development of a robust and reliable technological infrastructure to ensure the implementation of scalable storage and processing solutions. Data organisation - Define internal functions and rules for information management. Interoperability means ensuring that data can be effectively shared and integrated between different systems. Technology companies must provide not only advanced data management tools but also lead digital change in the industry in a holistic way. From creating systems that facilitate seamless data integration to using artificial intelligence algorithms to improve clinical and business analysis, the role of technology is essential in this new chapter of the healthcare sector. The future of data governance: beyond information The future of data management in the pharmaceutical industry is not just about organising information; it is also about making it a strategic pillar for innovation. Companies that are able to structure their data efficiently will not only be ready to adopt artificial intelligence technologies, but will also transform their business model by optimising every link in their value chain. We are entering an era in which information is no longer simply a passive asset; it stands as the driving force behind an extraordinary medical revolution. Without direction there is no change; without reliable information there is no real wisdom; without a robustly designed digital strategy there is no promise for the future in this modernised environment; mastery of data will be the key to leading emerging industry sectors in this era of imminent innovation and technological advancement.
Sidertia Izertis

Izertis launches Sidertia, the first comprehensive cyber security tool

Sidertia stands out for its ability to assess and manage risks under programming, continuously adapting to emerging trends and threats in the digital environment

Liferay and Izertis unify the digital strategy of SAMOA Industrial

Liferay, the developer of the digital experience platform designed for maximum flexibility, has announced that SAMOA Industrial, a leading European manufacturer of fluid handling and management equipment, is using the Liferay DXP platform to unify its digital strategy internationally, modernising its online presence and optimising the customer experience. SAMOA Industrial has experienced constant growth since its foundation in Gijón in 1958, diversifying its product portfolio to cover sectors such as automotive, hydrocarbons and printing. This expansion, which began in 1993, has led the company to establish a global presence in more than 110 countries through subsidiaries and distributors. Today, SAMOA Industrial offers a wide range of solutions, from lubrication and vehicle maintenance equipment to pneumatic pumps for hydrocarbons and paint spraying systems, including innovative technologies for fluid stock management and electronic equipment control. Managing this wide range of products and services in different countries required a unified and flexible digital experience platform that would also deliver a consistent customer experience across all markets. SAMOA Industrial's IT and Marketing teams selected Liferay DXP to meet this challenge. In the implementation, they relied on the expertise and knowledge of the technology consultancy firm Izertis, a Liferay partner. The implementation of Liferay DXP has digitally transformed SAMOA Industrial, modernising its online presence and making a significant impact on its overall digital strategy. For customers, the platform has optimised the organisation of products, presenting them in an intuitive structure that facilitates conversion. Navigation and search for information has been simplified, while the user experience for distributors, sales staff and end customers has been enriched with metadata, detailed categorisations and access to relevant documentation for each product. This transparency, including full information on technical specifications, certifications and manuals, provides users with the tools they need to make confident purchasing decisions. Thanks to Liferay DXP as a digital experience platform, supported by Izertis, the website and its mobile version allows SAMOA Industrial to provide accurate and timely information, including notifications. Internally, the platform has improved flexibility and efficiency in product management. ERP integration and process automation have increased productivity, streamlining the editing, publishing and creation of content, including landing pages for special campaigns and product launches. "With Liferay DXP, SAMOA Industrial has unified its international digital presence, laying the foundation for integrating e-commerce and customer management functionality on a single platform. This comprehensive transformation consolidates our commitment to innovation and lays the foundations for further growth," said Alberto Gonzalez-Moratiel, Global Marketing Director of SAMOA Industrial.
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Lidl and Izertis: blockchain technology to guarantee olive oil traceability

Izertis, a leader in cutting-edge technologies, has been in charge of incorporating blockchain technology to ensure that the traceability of the product is complete, offering the consumer verified and detailed information about its origin and production process.

Cultura data-driven

How AI and a data-driven culture can boost smart manufacturing

The use of AI and data analysis allows you to optimize processes, increase production efficiency and quality, as well as make more informed and automated decisions

Analista de seguridad informática monitoreando sistemas conforme al Esquema Nacional de Seguridad (ENS)

Compliance with minimum standards. Let's not cheat the solitaire

A key aspect of addressing compliance with the new information security regulations being put in place by legislators is the need to implement measures that limit the potential cybersecurity risks faced by organisations.

izertis iqvia

Izertis recognised by IQVIA as EMEA System Integrator Partner of the Year for second year in a row

Izertis has received the Technologies Partner Annual Award 2024 for the second consecutive year, being recognised as an EMEA System Integrator Partner by IQVIA

SAP Business Data Cloud (BDC): solución avanzada para unificar datos empresariales y potenciar la IA con integración inteligente.

SAP Business Data Cloud (BDC): a new era of Data and AI

SAP BDC is a SaaS (Software as a Service) platform, managed by market leader SAP, that enables companies to easily integrate, govern and analyse SAP and third-party data.

izertis dora

Izertis, a key player in the implementation of DORA at Azvalor, which achieves the first Certification of the Regulation at the European level

Izertis has been an essential part of this milestone, contributing its experience in the field of cybersecurity