Data Science and Governance – Pagina 6

How many fields in data science?

Massimo2021-06-270399 views

Data Science is a research activity… mostly Data-driven scientific discovery is regarded as the fourth science paradigm The twenty-first century has ushered in a new age that is coined as data science and big data analytics. Data-driven scientific discovery is regarded as the fourth science paradigm. Data science has been a core driver of the new-generation science, technologies and economy, and is driving new researches, innovation, profession, applications and education across both disciplines and business domains. There are many scientific and technical challenges associated with big data, ranging from data capture, creation, storage, search, sharing, modeling, representation, analysis, learning, visualization, explanation, and decision making. Among the many data characteristics and complexities to be addressed, I mention the hybridization of heterogeneous, multisource, hierarchical, interactive, dynamic,…

Speaker at FUTURE Labs 2021

Massimo2021-05-250426 views

At FUTURE Labs 2021, the spotlight on Artificial Intelligence’s role in Research and Development underscores its pivotal contribution to shaping the laboratories of tomorrow. The conference, renowned for its diverse assembly from academia to industry giants across various sectors, including Biotech, Pharma, and more, serves as a crucible for innovation. It invites a confluence of ideas and visions, aiming to redefine laboratory operations and efficiency. With discussions spanning nine crucial themes, including AI & Machine Learning, Digital Transformation, and Data Management, the event promises a comprehensive exploration of the technological forefront, all delivered in English, facilitating a global discourse.

Microservices architecture: the case of AWS

Massimo2021-04-120433 views

Serverless computing represents the pinnacle of cloud abstraction, focusing solely on code functionality rather than underlying infrastructure. It eliminates concerns about servers, operating systems, and runtime environments, allowing for the execution of code snippets upon specific events. AWS Lambda exemplifies this model, offering a platform where only the necessary code runs when triggered, devoid of server or OS knowledge. This approach is instrumental in developing microservices architectures, with AWS services like API Gateway and S3 acting as event sources to invoke Lambda functions. Such architecture simplifies operations, reducing maintenance and enabling a focus on application logic, thereby enhancing efficiency and scalability in deploying Artificial Intelligence solutions.

Speaker at Swiss Data Leaders Conference

Massimo2021-03-310430 views

At the SWISS LEADERS CONFERENCE, an exchange of innovative ideas on data strategy and digital transformation took place. The focus was on leveraging Big Data Analytics and AI to foster digitalization, enabling service-oriented business models, and driving market innovation. Investments in skilled teams, software, and architecture have led to exciting use cases, with data-driven startups notably disrupting industries.

Speaker at the next Future Labs 2021

Massimo2021-01-290422 views

In the realm of innovation, Future Labs Live 2021 stands as a beacon, uniting over eighty global experts in a comprehensive dialogue on the forefront of digital transformation, data science, Artificial Intelligence, and Machine Learning. This event, spanning two days, is pivotal, addressing the urgent need for technological, organisational, and cultural shifts across industries.

Interpreting deep learning models

Massimo2020-07-170376 views

Interpreting deep learning models is crucial for diverse applications such as healthcare and self-driving cars. Understandably, errors can have catastrophic consequences. Thus, achieving interpretability is essential for decision-makers. Properties like fidelity, comprehensibility, and accuracy are vital for evaluating interpretability. Various methods, including visualization techniques and knowledge distillation, offer insights into complex models. However, quantifying interpretability remains a challenge. For more information, refer to research papers on refining deep neural networks and interpreting CNNs. Enhancing interpretability not only fosters trust in AI but also mitigates risks in decision-making processes.

Why Meta-learning is important

Massimo2020-03-090333 views

Meta-learning, a groundbreaking approach in AI, empowers machines to rapidly adapt and learn from minimal data. By transcending traditional machine learning, meta-learning revolutionizes various sectors like healthcare, finance, and education. This technique facilitates few-shot learning, enabling models to excel with limited examples, a paradigm shift from data-intensive methods. Meta-learning’s impact spans diverse domains, from personalized education to drug discovery in pharmaceuticals, promising accelerated innovation and optimized processes. Embracing meta-learning heralds a future where AI systems dynamically evolve and excel in novel tasks with unprecedented efficiency.

AGROVOC: An Introduction to the World’s Largest Agricultural Vocabulary

Massimo2018-07-200432 views

Discover AGROVOC, the concept scheme revolutionizing agriculture. Learn how it organizes agricultural domains, differentiating concepts and terms while harnessing the power of RDF. Uncover its potential through the AGROVOC RDF file, enabling seamless integration into diverse applications and systems.

Download my book

Massimo2017-09-120459 views

Unlock the power of your website with our guide on measuring impact through data analytics. Learn to evaluate usage, usability, and usefulness to enhance audience engagement and achieve your objectives. Download our book today for essential insights and practical examples. Improve your website’s impact with web analytics, surveys, and purpose-driven strategies. Ensure your website’s success by understanding and implementing the 3Us effectively. Don’t miss out on this valuable resource for communication specialists, information managers, and IT technical specialists.

Bias in statistics

Massimo2017-06-0704,K views

Sampling bias can skew data collection, impacting statistical analysis. It occurs when certain population segments are disproportionately represented, leading to inaccurate conclusions. Understanding bias types like sampling, nonresponse, and response is crucial for reliable results. Minimizing bias mitigates errors, enhancing data quality and decision-making.

Data Management Plans (DMP)

Massimo2017-06-0703,8K views

A Data Management Platform (DMP) is vital for organizations handling vast data volumes, facilitating streamlined data collection, integration, and distribution. DMPs, crucial for advertising data management, are witnessing rapid adoption, owing to their ability to ingest diverse data types from multiple sources. They excel in aggregating first-party data directly from clients’ users, integrating second-party data from partners, and incorporating third-party data from external providers. DMP effectiveness lies in their diverse data integrations, implementation ease, and customization options, making them indispensable for organizations navigating the complexities of modern data management.

Leveraging Advanced Sensor Technology for Climate Change Assessment at the United Nations

Massimo2017-06-020482 views

Introduction In my role as a senior manager at the United Nations, I had the unique opportunity to lead a team of data scientists and architects on a groundbreaking climate change project. The project aimed to provide actionable insights on the impact of climate change on agrobiodiversity and plant genetics. Utilizing a range of advanced sensors, we were able to capture a wealth of data, enabling us to make accurate models and analyses. This article delves into the specifics of the sensor technology used and the invaluable data collected for climate change assessment. https://www.youtube.com/watch?v=JNAELNPlzy4&cc_load_policy=1&cc_lang_pref=EN The Sensor Arsenal Soil Moisture Sensors These sensors were crucial in understanding how changing climate conditions affect soil water content, a key factor in plant health.…