Changing, at accelerating speed, is everywhere! From biology, education, business, media, agriculture, manufacturing to just about all industries are being revolutionized in the digital transformative process. The resulting footprints (data), in large quantity, converging with burgeoning machine learning algorithms, has evidently triggered the powerful artificial intelligence (AI) revolution. The impact of these piled-on changes is multifold. Where opportunities flourish, exploitations lurk in disguise, preying on the gaps in people’s ability to adapt.

Recent technological breakthroughs culminated by ChatGPT have worked wonders for the world. Behind the wondrous intelligence is a model of collective wisdom that is
cultivated from accessible data throughout human civilization. As it quietly integrates into our daily lives, an unprecedented paradigm shift is underway. The new wave of AI applications, such as agentic Retrieval-Augmented Generation (RAG) applications, coupling comprehensively trained large language models (LLM) with real-time contextual information, are reshaping how we make decisions and act upon them accordingly. While the era of AI depends on diverse, live and ubiquitous data, mainstream data processing remains in the last-century paradigm of acquiring data in a centralized and closed environment. This disparity explains why the progress of the data economy has been unimpressively slow, and consequently, impeding the advancement of actionable AI.

Data are recorded facts, multifaceted, unfolding everywhere at any time. As AI continues to gain traction around the world, phenomenal insights uncovered through synergies across diverse data have drawn attentions worldwide, causing significant interest and efforts to create data exchange mechanisms to follow. However, new privacy acts in response to rampant data breaches and growing concerns and distrust around data sharing have hindered the anticipated fluidity of dataflow.

At BigObject, we see the inertia comes from a past-generation paradigm, in which data must be acquired and prepared before insights can be obtained, causing unbridled data replications that are time and resource consuming. This common practice has raised growing concerns from global communities on environmental sustainability. History hastaught us that until a contemporary solution surfaces, prevailing practices will continue to dominate and, in this case, blunt the aspirations of data synergism. The Aralia open data ecosystem, adhering to the Web3 initiative, offers a decentralized approach that is
congenial to modern data characteristics.

From addressing data ownership protections, via owner-controlled data insight provisioning, to promoting a data-driven society and enabling synergetic insight across multiple data sources, Aralia relieves data security and integrity concerns, facilitates timeliness of data provisioning by data owners, promotes easy and secured access to everyone’s data for everyone, and opens up explorative opportunities from heterogeneous data, all the while adhering to environmental principles. Meanwhile, Aralia open data ecosystem further optimizes the output of LLM into the age of actionable AI applications.

DECLARATION
By helping organizations that are willing to contribute their data and facilitating collaborations on informed decision-making for the well-being of the planet and all its inhabitants, BigObject company hereby declares its commitment to the mission of empowering global public-good communities to be instrumental in pursuing data for public-good purposes, through the FREE LICENSE TO USE of its Aralia SOFTWARE. Fordetails, please contact us via publicgood@bigobject.io.

Sincerely,

Dr. Wenwey Hseush
Co-Founder and Chief Executive Officer