Posts by Melody Smith
Making Sense of the Data
Let’s face it: data is overwhelming. It’s messy, massive and multiplying by the minute. But the real challenge? Making sense of it all in a way that actually moves your business forward. This interesting topic came to us from Silicon ANGLE in their article, “Metadata is the glue: federated data silos, metadata and governance.” That’s…
Read MoreAI Fluency as a Job Requirement
In today’s corporate landscape, the ability to work with artificial intelligence (AI) has shifted from a niche skill to a decisive factor in hiring and retention. Many companies are no longer simply asking whether candidates can adapt to new technology. Instead, they are actively filtering their workforce, seeking out those who can both use and…
Read MoreSafeguarding Generative AI in a Rapidly Evolving Landscape
Generative artificial intelligence, often referred to as GenAI, has expanded the scope of what machines can achieve. These systems are capable of creating text, images, code and synthetic data that mimic human expression and logic. While this represents a breakthrough in technological innovation, it also introduces new security and governance challenges. DATAVERSITY brought this important…
Read MoreDigital Governance as the Foundation for Sustainable Innovation
In an environment where organizations are defined by their digital presence, governance has become more than a guideline. It is the structure that determines whether digital strategies succeed or fall short. As companies adopt advanced technologies and accelerate digital transformation, establishing governance frameworks has become a critical step in ensuring both innovation and accountability. IAPP…
Read MoreAI and Copyright: Balancing Challenges and Benefits
The rise of artificial intelligence (AI) has opened new frontiers in creativity and innovation, but it has also created significant tension around copyright law. At the heart of the issue lies the question of ownership. When an AI system produces content that resembles human-made work, who holds the rights? Is it the programmer who built…
Read MoreGenerative AI and the Shifting Landscape of Data Governance
The relationship between artificial intelligence (AI) and data governance is becoming increasingly significant as organizations adopt generative AI. This technology is capable of creating and interpreting large volumes of information at speeds traditional systems were never designed to handle. The shift is forcing businesses to rethink how they maintain data quality, security and regulatory compliance.…
Read MoreUnexpected AI Applications
When people think about artificial intelligence (AI), they usually imagine robots, self-driving cars or chatbots. But AI is quietly working behind the scenes in ways that might surprise you. For example, protecting endangered species and preserving natural ecosystems. This interesting and important topic came to us from Phys.org in their article, “How AI can help…
Read MoreAccessibility in Data Science: Expanding Inclusion and Impact
Accessibility in data science extends beyond making datasets available. It involves ensuring that the tools, methods and outputs of data science can be understood and used by diverse audiences, including individuals with varying technical skills, backgrounds and abilities. True accessibility means reducing barriers to participation so that insights are not limited to a select group…
Read MoreGenerative and Analytical AI: Complementary Roles in Technology
Artificial intelligence (AI) has developed into a diverse discipline with applications that range from automating routine processes to generating original content. Within this broad field, two categories stand out for their distinct purposes: generative AI and analytical AI. Each addresses different needs but can also reinforce one another when applied in combination. The Machine Learning…
Read MoreInnovation, AI and the Cloud
Artificial intelligence (AI) is transforming industries, but its full potential is often limited by infrastructure constraints, data silos and high computational demands. A comprehensive cloud platform can remove these barriers, providing the scalability, flexibility and powerful tools needed to accelerate AI development and deployment. AI Business brought this topic to our attention in their article,…
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