PISTIS’ Post

PISTIS is one of those jewels that are still to be polished, like an iceberg where you just see the upper part...The project brings together and builds upon concepts that already exist: #dataPlatforms, #dataSpaces, #dataTrading, #blockchain, #datavaluation...but it brings an innovative set of technologies and tools that can enable the set up of data sharing ecosystems in a realistic context. While focused on the #data technologies, it deploys the technology framework in three different industrial settings (#airindustry, #automotive and #energy), and demonstrates its value through a wide array of #usecases. So, while it is not a recognized "European Data Space" project, it is sure it will become one of the key enablers of those and will help to deliver on the #eu #DataStrategy, as our new blog says. Check below and visit the PISTIS website to access the blog! BDVA - Big Data Value Association Gaia-X Hub España Gaia-X Association for Data and Cloud (AISBL) AIOTI International Data Spaces Association (IDSA) Silvia Castellvi Daniel Alonso Román Daniel Sáez Domingo Ana Garcia Robles Dolores Ordoñez Yury Glikman Sotiris Koussouris Annalisa De Angelis Carlo Abate Arthur's Legal, Strategies & Systems IDC4EU Wiktor Markiewicz Jason Stamper Vanda Soeiro PISTIS enRichMyData Graph-Massivizer Project Data Spaces Support Centre Green Deal Data Space | GREAT Project European Data Space for Smart Communities

Have you had a chance to read the article about "Data Standardization," co-written by Michal Gal and Daniel Rubinfeld? We found it to be quite interesting, and here's why. 👇 In the article, the authors examine the reasons behind data standardization and its limitations in light of data's unique characteristics. They also explore the role of governmental organizations in the #standardization process to ensure that the new standards have a positive impact. 🤔 The increasing adoption of #artificial #intelligence tools in all industries has made companies more dependent on data. 👩💻 While in-house data may be sufficient in some cases, multiple data sources might be required, which can be complicated by the lack of industry data standards. This can lead to higher integration costs, a decrease in product quality, or even prevent/complicate innovations. 👉 The reality is that data standardization is required in every domain, including the #energy sector, and it can help companies like N-SIDE continue to develop and improve existing and new products. If you're interested in reading more about this topic, you can access the article using this link: https://lnkd.in/d2eWnJP3

Embarking on the digital journey, we encounter a relentless wave of data. In 2021 alone, the globe witnessed the creation of 79 zettabytes of data. Fast forward to 2023, and the narrative shifts with Polystores anchoring the realm of data management. 🔑 Key Takeaways: Seamless Integration: Bridging diverse data sources, Polystores eradicate silos and orchestrate a unified data vista. Adaptability: As new storage technologies dawn, Polystores ensure a smooth sail, minimizing disruptions and maximizing the utility of existing data assets. Ethical Data Management: Embracing Polystores is a stride towards responsible data stewardship, aligning with the ethical mandates of our digital epoch. Polystores aren't merely a groundbreaking avenue but a necessity in our zettabyte epoch. They shine in melding diverse data sources, enabling a comprehensive view, and unveiling the untouched potential of data. This nimbleness is pivotal as it not only future-proofs data management stratagems but also emphasizes the essence of responsible data handling in nurturing ethical tech adoption. As the digital frontier broadens, the clarion call for tech leaders to helm the integration of Polystores in their data management blueprint resonates. It transcends merely keeping pace with the data surge; it's about navigating the helm with foresight, ethical discernment, and innovative zest. How is your organization aligning with the Polystore revolution to ensure a robust and ethical data management scaffold? Dive into the full narrative here: https://lnkd.in/dzvZHmcU #EthicsInTech #CorporateResponsibility #Innovation #TechTrends #Leadership #ResponsibleAI #DataSecurity #TechLeadership

"Data is a precious thing and will last longer than the systems themselves" is attributed to Tim Berners-Lee, the inventor of the World Wide Web. This statement highlights the enduring value of data in the digital age. Here are some key points that this quote emphasizes :- 🔹 Enduring Value : Data remains valuable over time, providing lasting insights and historical context even as technology changes. 🔹 Tech Changes : Systems and platforms evolve or become obsolete, but data can be migrated and adapted to new technologies, ensuring its continued relevance. 🔹 Preservation : Effective data management practices like backups, archiving, and documentation ensure that data is preserved for future use, maintaining its integrity and accessibility. 🔹 Reusability : High-quality data can be repurposed across different contexts and applications, offering ongoing value and fostering innovation. 🔹 Asset : Data is increasingly recognized as a strategic asset that can drive decision-making, support research, and create competitive advantages for organizations. #DataIsPrecious #DataManagement #DigitalLegacy #DataPreservation #TechEvolution #DataReusability #DataAsset #BigData #DataScience #DataDriven #DataSecurity #DataStorage #DataArchiving #FutureOfData #DataIntegrity #DataValue

How can Switzerland rise to the challenge of #BigData? Read the perspectives gained by the National Research Programme 75 "Big Data", which I had the privilege of summarizing. Below are a few of my personal take-aways. ⬇️ 1️⃣ Proactive #regulation is crucial, and should include both international developments and the local & sectorial specifics. Many actors need guidelines on the legal and ethical intricacies of using data while preserving privacy and complying with the law. 2️⃣ Creating big data #applications is no simple task. It requires: · creating partnerships with stakeholders · finding the data · assessing its quality, preparedness and completeness · storing it securely and preparing it for analysis · finding suitable existing algorithms, adapting them or creating new ones · benchmarking the results · creating practical visualisations and interfaces to explore the results · and - at last - integrating the new applications into established workflows. 3️⃣ Switzerland has to maintain and consolidate its research and innovation capacities in big data #infrastructure (hardware and software) if it wants to keep some control over the development of the field. The (suggested) to-do list is demanding, and shows the challenge ahead of us: ✔️ Foster an appropriate environment for big data development by: · enhancing the education of big data professionals · supporting legal and ethical advice for big data research and development projects · enabling certification of big data application properties. ✔️ Integrate big data in public and private organisations by · increasing the exploitation of big data technologies in the health sector · strengthening policymaking and evaluation with big data · promoting shared data collection, application benchmarks and open-source software. ✔️ Update and create adequate regulation by · pursuing more proactive regulation of big data · advancing data privacy and digital sovereignty in big data applications · increasing transnational harmonisation of regulations. Online: https://lnkd.in/eAipZNRi Pdf report: https://lnkd.in/eP6ZHAvS 🙏 Thanks to Christian S. Jensen from Ålborg Universitet, Boris Buzek and Stefan Husi from SNSF Swiss National Science Foundation, Beatrice Huber from SATW and Gabriel Alber from Alber Visuelle Kommunikation for the great collaboration, and the many enriching discussions. #BigData #Report #Switzerland #Data #Privacy #Regulation #Innovation #Ethics #Algorithms #MachineLearning

In this modern era, data and #data #science collaboration is the key to tackling current critical issues. With several obstacles lying ahead, it requires tech leaders to hold a well-balanced #approach to every aspect of the ecosystem. Find out more about the collaborative #data #ecosystems in this article: https://hubs.ly/Q01ZTv5w0 #FPT #FPTSoftware #data #digitaltransformation 🌏 fptsoftware.com

It’s not surprising that so many organizations are constantly racing to stay a step ahead of their data. In some instances, they’re running too fast to acquire the knowledge, tools, and time to prioritize so that data is actually useful to the business. We need to level-set on data, acknowledge the massive volume of data that exists, and focus on turning quality data into a strategic advantage. Read about this in our #Syniti CEO, Kevin Campbell's latest Forbes Technology Council article. #DataThatIgnites

It’s not surprising that so many organizations are constantly racing to stay a step ahead of their data. In some instances, they’re running too fast to acquire the knowledge, tools, and time to prioritize so that data is actually useful to the business. We need to level-set on data, acknowledge the massive volume of data that exists, and focus on turning quality data into a strategic advantage. Read about this in our #Syniti CEO, Kevin Campbell's latest Forbes Technology Council article. #DataThatIgnites

Big Data holds immense potential to drive sustainability initiatives, offering insights and opportunities for positive change. However, as we delve deeper into this realm, we must acknowledge the challenges and drawbacks accompanying its integration. Let's delve into the complexities: 1. Practicality Challenges Transforming vast amounts of unstructured data into actionable insights requires highly skilled professionals. However, there's a global shortage of talent equipped to navigate this landscape effectively. Moreover, traditional computing methods often fall short in managing the high volume, velocity, and variety of Big Data streams. Building a robust technical infrastructure is paramount for success but integrating data technology into existing business models remains a significant challenge. 2. Privacy Concerns While Big Data fosters transparency, questions arise regarding the ethical implications of widely accessible data. Privacy and security become critical concerns, with issues of intellectual property and liability coming to the forefront. Ensuring data security and ownership protection are imperative, requiring legal clarifications to capture the full value of Big Data while upholding ethical standards. 3. Future Implications Despite these challenges, Big Data holds immense promise for sustainability. It has the potential to address major environmental and social issues, from climate change to world hunger. By leveraging Big Data analytics, organizations can drive sustainable economic growth and gain a competitive edge. However, overcoming practical and privacy hurdles is essential to realizing this potential fully. In conclusion, while Big Data presents significant opportunities for sustainable development, it's essential to navigate the associated challenges effectively. As we envision the future of Big Data, collaboration among companies, industries, and governments is crucial in overcoming these hurdles and harnessing its transformative power for a more sustainable future. #BigData #Sustainability #DataAnalytics #ZONE3000🌍💡

📣 Today, we released a new paper: "Data Sandboxes: Managing the Open Data Spectrum". In the evolving digital age, the push to unlock #data is gaining momentum. The potential is great: improved governance, optimized public & private services, and empowerment at individual levels. Yet, managing the fine line between open access and the responsible use of private information remains a daunting task. Enter "Data Sandboxes" - a novel approach to this dilemma. This primer dives deep to unravel: ✅ The essence and value proposition of data sandboxes. ✅ The capacity of sandboxes to facilitate data access and reuse responsibly. ✅ The steps decision-makers can take to set up sandboxes. 💻 Blog: https://lnkd.in/eMAmfP5Y 📖 Full primer: https://lnkd.in/edfx_nBH ✍️ co-authors: Stefaan Verhulst, PhD, Uma Kalkar, Sampriti Saxena 🤝 In collaboration with imec, IBBT-SMIT, VUB and Flanders #OpenData #DataGovernance #Innovation