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The Friction Between Open Source and AI
Open Source has taken a central role in the development and release of Artificial Intelligence projects. However, companies and developers working with AI are running into unexpected issues. The reason for this is that Open Source AI represents a paradigm…
Unlocking the Power of Data Ecosystems
Data ecosystems are the complex environments of interconnected networks and actors that contribute to data collection, transfer, and use. They refer to the programming languages, packages, algorithms, cloud-computing services, and general infrastructure an organization uses to collect, store, analyze, and leverage…
The Evolution and Future of Enterprise Data Management
Enterprise Data Management (EDM) and Enterprise Content Management (ECM) are two sides of the same coin. Both are strategic business practices that define and manage an organization’s critical data, ensuring everyone uses the same, accurate data. ECM extends the concept of content…
The Convergence of AI and Robotics: A New Era
In the ever-evolving landscape of technology, the union of artificial intelligence (AI) and robotics promises to redefine our world. As these two domains intertwine, they birth a discipline known as robotic artificial intelligence. In 2021, OpenAI faced a conundrum: how to…
Data Governance in Government: The Need for Transparency
As citizens, we rarely glimpse the intricate web of data and information that the government has and how it shapes policy, security, and our daily lives. Yet, understanding how data is treated within government agencies is crucial for informed citizenship.…