Citiesabc - R&D 3D cities, smart cities, digital twins platform’s Post

The world's data is expanding at an unprecedented rate, holding invaluable insights that could revolutionize various sectors. From healthcare advancements to sustainable energy solutions, the potential is limitless. The challenge lies not in the scarcity of information but in navigating the abundance to pinpoint the most impactful starting point. 🌐📊 #DataInsights #Innovation #BigData

#Datadrivenhealthcare A lesson from the bees and their honey Imagine a beehive, where bees work tirelessly to collect nectar and store it in honeycombs. The hive is a dynamic environment, with each bee contributing to the creation of honey—a golden substance with immense value. Now, picture someone approaching the hive to extract honey. Retrieving it isn’t as simple as reaching in; it requires care, the right tools, and an understanding of the hive’s structure to extract the honey without impurities. This is an apt analogy for healthcare's relationship with data. In healthcare, data is the honey—rich, valuable, and essential for growth. Just as bees gather nectar from various sources, healthcare systems collect data from patients, treatments, medical devices, and outcomes. However, this data is raw and unrefined, and without proper processing, its full potential remains untapped. As W. Edwards Deming famously said, "You can't manage what you don't measure." Like bees, healthcare organizations often measure everything but use too little of that data to modify processes or improve outcomes. Over-measuring without acting leaves little room for meaningful change. This is where healthcare must pause to leverage strengths, exploit opportunities, manage weaknesses, and reduce threats (SWOT). One major risk in healthcare is focusing solely on extracting the "honey" of data without filtering out impurities. Just as honey must be separated from wax and debris, healthcare data needs to be cleansed and refined. Without this process, decisions based on flawed data can lead to misguided outcomes and wasted resources. It’s not enough to simply collect data; the key is transforming it into actionable information—the "gold" of healthcare. To unlock the value of data and turn it into this gold requires more than just collection. It requires the right people and methods of extraction. Data scientists, healthcare professionals, and technologists must collaborate, using advanced tools like analytics, machine learning, and artificial intelligence (AI) and above all pausing on the business processes (Controls and system audits) to sift through the noise and reveal the valuable insights within. Healthcare organizations that embrace this data-driven approach are like well-maintained hives, producing pure, valuable honey that sustains the entire system. By carefully extracting and refining their data, they can optimize care delivery, improve resource allocation, and enhance patient experiences. In conclusion, data alone isn’t enough to drive the future of healthcare. Like honey, its true value is unlocked through careful extraction, refinement, and thoughtful use. By treating data with the same care and precision as a skilled beekeeper, healthcare organizations can turn their raw data into the gold that will propel the industry forward, ensuring a healthier, more efficient, and patient-centered future #healthcare #latif said

AI and ML are shaping the future of healthcare, but the foundation is data quality. Discover why clean, accurate data is essential for improving care and reducing costs in the healthcare industry. #HealthcareInnovation #DataHygiene

Big Data in Healthcare: A Look Back and a Look Forward #bigdata #healthcare #futureofhealth #HealthDataScience The power of big data in healthcare is undeniable, but how has our understanding and application evolved? Two key documents offer a glimpse into this fascinating journey: A 2013 report by McKinsey & Company likely served as an early exploration of big data's potential in healthcare, outlining the broad possibilities it offered. A 2022 document from the UNDP builds upon this foundation, reflecting a more mature understanding. It likely delves deeper into specific applications, acknowledging the challenges – data governance, integration, and bias – that need to be addressed for responsible implementation. This evolution highlights a crucial shift: #Frompromisetoprogress: Initial excitement has matured into a nuanced understanding of big data's practical applications and challenges. #Fromvisiontoroadmap: We've moved from outlining possibilities to a more practical and responsible approach for harnessing big data's power. The focus has also shifted towards robust data governance frameworks to ensure privacy, security, and responsible data utilization. #bigdata #Digitalhealth #futureofhealth #HealthDataScience https://lnkd.in/etATaES8 https://lnkd.in/eD4Q-2RZ

𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞: 𝐇𝐨𝐰 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐆𝐞𝐧𝐀𝐈 𝐀𝐫𝐞 𝐑𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐢𝐧 2024! In 2024, the realm of governance is undergoing a seismic shift driven by the convergence of big data and generative artificial intelligence (GenAI). This transformative alliance is revolutionizing how governments collect, analyze, and utilize data to tackle complex societal issues and shape the future. 1️⃣ Revolutionizing Governance in 2024: Big Data and GenAI In the landscape of governance, the year 2024 marks a pivotal moment as big data and GenAI come together to redefine traditional approaches. This innovative fusion enables governments to harness the power of data-driven insights and predictive modeling to make informed decisions and drive proactive strategies. 2️⃣ Unleashing the Power of Big Data Big data serves as a goldmine of insights for governments across diverse sectors, including healthcare, education, and urban planning. Through advanced analytics, governments can uncover valuable trends and patterns within vast datasets, empowering evidence-based policymaking and strategic planning. 3️⃣ GenAI: Transforming Data Analysis GenAI algorithms, fueled by machine learning and deep learning, excel at processing massive datasets and generating predictive models. This capability enables governments to anticipate future trends and outcomes, facilitating proactive decision-making and strategic foresight. 4️⃣ Enhancing Citizen Engagement GenAI revolutionizes citizen engagement by enabling personalized services and tailored communication. By analyzing citizen preferences and feedback, governments can deliver targeted initiatives that address the unique needs of diverse communities, fostering trust and transparency. 5️⃣ Ensuring Public Safety and Security The integration of big data and GenAI strengthens public safety efforts through predictive policing and risk assessment systems. By leveraging data from various sources, governments can effectively prevent crime and respond to emergencies, enhancing overall security and resilience. 6️⃣ Addressing Ethical and Privacy Concerns While the potential of big data and GenAI is vast, it also raises significant ethical and privacy considerations. Governments must prioritize data privacy, transparency, and accountability to mitigate risks and biases, ensuring fair and equitable outcomes for all citizens. 7️⃣ Conclusion: Navigating the Future Responsibly The integration of big data and GenAI marks a paradigm shift in governance, offering unprecedented opportunities to create inclusive and resilient societies. By navigating these transformative changes responsibly and ethically, governments can maximize the benefits for all stakeholders and pave the way for a brighter future. How do you envision the impact of big data and GenAI on governance in the coming years? Share your thoughts below! #artificialintelligence #genai #bigdata #governance #machinelearning

Why good decisions follow good data Sharing the insights from a recent Global Government Forum webinar looking at how to use data in policymaking to boost collaborative problem-solving in government. Governments are very good at collecting data, but often struggle to know what to do with it. This is especially true once pressure mounts to use what data they have to improve public service delivery. #ai #artificialintelligence #homeoffice #data #healthcare #infrastructure #pandemic #europe

A strong #dataplatform helps #healthcare organizations excel in #AI by enabling roadmaps and ensuring more of their data is meaningfully put to work. Arcadia's Chief Product and Technology Officer, Nicholas Stepro says there are five core components of a lakehouse-powered data platform that allow healthcare leaders to embrace the present and future of this technology. Read about them in In this Health Data Management article: https://lnkd.in/em5AvFgE

I recently had the incredible opportunity to speak at and be part of the #Gartner Data & Analytics Summit in Mumbai, where I delved deeper into the topic of LLMs and their adoption in the industry. Here are some of my key takeaways from the event: 1. The AI Wave An AI wave seems to be here, everyone I spoke to is looking to incorporate the use of LLMs within their internal or product use cases, at the same time being aware of the necessity to foster a culture of responsible AI adoption, moving in direction from PoCs to adoption at scale. 2. Generative AI Solutions The vendor exhibits at the summit included a good mix of AI playgrounds for experimenting with LLMs, as well as mature solutions offering end-to-end workflow orchestration, suggesting a good adoption by enterprises of these solutions. 3. Open-Source Adoption It was heartening to see the adoption of open-source LLMs and the innovations happening in this area, led by the community. 4. Data Fabric One of my favorite parts of the summit was the roundtable discussions, which promoted brainstorming and in-depth conversations. The data fabric roundtable, in particular, moderated by Ehtisham Zaidi and Anurag Raj was a great discussion around the adoption of data fabric, the importance of advanced metadata practices, the development of knowledge graphs, and the use of various data delivery mechanisms. There was also a good build vs. buy discussion. Overall, the Gartner D&A Summit was a very well-organized event with a good mix of different session formats. I would like to thank Sumit Agarwal for being a part of my session and providing me with the opportunity to speak at the summit. I also had a great discussion with perceptive Chirag Dekate, Ph.D. about AI, quantum computing, and what the future upholds. Thanks to Nicholas Tharakan for support and guidance towards the session. #GartnerDA

🔊 Make sure to join the EBDVF 2024 session 'Deep dive on Semantic Interoperability in Data Spaces'❗ 🗓 2 October 🕑 14:00 - 15:30 Find out more about the session and the EBDVF Agenda here 👉 https://lnkd.in/e-6VtM57 ✅ Interoperability is at the core of data spaces: participants in a data space should be able to understand each other, at the different levels they collaborate. This is why interoperability in data spaces applies at different layers. Different frameworks exist in Europe that identify these different interoperability dimensions. This challenge intensifies when considering semantic interoperability between data spaces across different sectors, each with its unique vocabularies and ontologies.   🎯 This session focuses specifically on semantic interoperability within and between data spaces. The goal is to gather experts who can address various facets of the topic, stimulate discussion, and offer recommendations that can advance this critical aspect of the European Data Economy beyond the current state of the art.    🌌 To do so, the session will build on the main relevant insights from the “Workshop on Semantic Interoperability in Data Spaces” (https://lnkd.in/ek-gR6zx) co-organized by BDVA and run the day before, and enrich with further discussion and exchanges with the community.  Speakers: Daniel Alonso Román, Edward Curry, Martin Kaltenböck, Rigo Wenning, Pavlina Fragkou, Josiane Xavier Parreira Check the full programme 👉 https://lnkd.in/gYUYHEAC #EBDVF24 #Datasharing #BigData #AI #sustainability #data #innovation #AItech #tech

🚀 **How Open Data is Fueling the AI Revolution** Did you know that open data is driving some of the most groundbreaking advancements in AI today? From empowering small startups to compete with tech giants to fostering global collaboration, open datasets are the unsung heroes behind many of the intelligent systems we interact with daily. Here’s why open data is pivotal for AI innovation: 🔍 **Unblocking Access to Innovation** Creating powerful AI requires vast, diverse datasets. In the past, this gave a major advantage to companies with deep pockets. Open data levels the playing field, giving researchers, developers, and entrepreneurs access to the resources they need to test groundbreaking ideas. Platforms like Kaggle are shining examples, allowing anyone to access datasets and drive the development of AI models across industries. 📈 **Scaling Innovation Faster** With open data, iterative improvements in AI development happen at breakneck speed. When publicly available datasets are used, AI systems can be built, tested, and refined collaboratively, reducing redundancy and accelerating breakthroughs in fields like healthcare (predicting diseases) and logistics (optimizing delivery systems). 🌐 **Enhancing Diversity and Inclusion** Diverse data leads to better AI outcomes. Open datasets sourced globally ensure that AI models are less biased and more representative of different cultures, languages, and challenges. This inclusivity means AI solutions can impact sectors like government policy or environmental sustainability in more meaningful ways. 💡 **Real-World Applications in Action** Take Oman, for example. By leveraging open geospatial data, urban planners there are integrating AI to optimize city growth and improve public services. This wouldn’t have been possible without accessible, high-quality datasets. Now, the key to making open data work lies in the ecosystem’s strength—governments, organizations, and tech leaders all need to champion transparency and accessibility while protecting ethical AI development. 🔑 **Final Thought:** Open data isn’t just a resource; it’s a catalyst. It’s enabling specialized industries, from AI-driven agriculture to predictive maintenance, to innovate on a scale we’ve never seen before. ✍️ **What’s your take?** Have you leveraged open data in your AI projects? Share your insights in the comments—we’d love to hear your experiences! 🌍 Let’s collaborate to explore possibilities: Connect with me to discuss how open data can unlock the next wave of innovation in your work. Hashtags: #moa7amed #سلطنة_عمان #Kaggle #oman #AIEcosystem #FutureofData #AIInnovation