Stop Feeding AI Junk: A Systematic Approach to Unstructured Data Ingestion
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Author: Kumar Goswami
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Author: Kumar Goswami
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Author: Robert S. Seiner
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Author: Subasini Periyakaruppan
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Author: Ty Francis
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Author: Steve Hoberman
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Author: Neej Gore
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Author: Myles Suer
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Author: Chirag Agrawal
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Author: Dr. Maitreya Natu
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Author: Randall Gordon
The global market for artificial intelligence is evolving under two very different legal paradigms. On one side, the European Union has enacted the AI Act, the first comprehensive and enforceable regulatory regime for AI, applicable across all member states and with far-reaching extraterritorial scope. On the other, the United States continues to advance AI oversight primarily at the state level, resulting in a patchwork of rules that vary in focus, definitions, and enforcement…
The post Comparing EU and U.S. State Laws on AI: A Checklist for Proactive Compliance appeared first on DATAVERSITY.
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Author: Fahad Diwan
While large corporations like Optus, Medibank, and The Iconic often dominate headlines for cybersecurity breaches, the reality is that small businesses are increasingly attractive targets for cybercriminals. Many small business owners operate under the dangerous illusion that their business is too small or insignificant to attract the attention of cybercriminals or that they have nothing of value to steal. This mindset often leads to a false sense of security…
The post What Makes Small Businesses’ Data Valuable to Cybercriminals? appeared first on DATAVERSITY.
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Author: Samuel Bocetta
Last October, I wrote a column about the use of generative AI in producing a professional service. I pondered the question of whether or not others’ knowledge about the use of AI in producing a professional service – such as legal work, consulting, or creative work – would devalue the service. My hypothesis was that […]
The post Ask a Data Ethicist: How Does the Use of AI Impact People’s Perceptions of You? appeared first on DATAVERSITY.
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Author: Katrina Ingram
The ink is barely dry on generative AI and AI agents, and now we have a new next big thing: agentic AI. Sounds impressive. By the time this article comes out, there’s a good chance that agentic AI will be in the rear-view mirror and we’ll all be chasing after the next new big thing. […]
The post Mind the Gap: Agentic AI and the Risks of Autonomy appeared first on DATAVERSITY.
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Author: Mark Cooper
We stand at a pivotal moment. Generative AI, with its large language models (LLMs) and retrieval-augmented generation (RAG) systems, promises to revolutionize how industries operate. We’ve all seen the impressive demos that can summarize articles, write code, or draft marketing copy. But when the stakes are high and an error could lead to a financial […]
The post Why Business-Critical AI Needs to Be Domain-Aware appeared first on DATAVERSITY.
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Author: Andreas Blumauer
This month, we’re reviewing “Rewiring Your Mind for AI” by David Wood. In this book, Dr. Wood shows us how to think differently to leverage the benefits of artificial intelligence (AI). The book first sets us up to think in terms of growth mindsets instead of limiting mindsets – starting with some anecdotes about how calculators and […]
The post Book of the Month: “Rewiring Your Mind for AI” appeared first on DATAVERSITY.
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Author: Mark Horseman
Generative AI (GenAI) continues to provide significant business value across many use cases and industries. But despite the many successful customer experiences, GenAI is also proving to be challenging for some businesses to get right and deploy across their organizations in full production. As a result, plenty of projects are getting stuck in planning, experimentation, […]
The post How to Overcome Five Key GenAI Deployment Challenges appeared first on DATAVERSITY.
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Author: Jim Johnson
Enterprise AI agents are moving from proof-of-concept to production at unprecedented speed. From customer service chatbots to financial analysis tools, organizations across various industries are deploying agents to handle critical business functions. Yet a troubling pattern is emerging; agents that perform brilliantly in controlled demos are struggling when deployed against real enterprise data environments. The problem […]
The post Open Data Fabric: Rethinking Data Architecture for AI at Scale appeared first on DATAVERSITY.
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Author: Prat Moghe
Not long ago, manipulating large datasets, training machine learning models, or visualizing results required advanced programming skills and specialized statistical knowledge. Today, intuitive AI tools and natural language interfaces are allowing nearly everyone – not just data scientists, engineers, and technical experts – to analyze and act on data. In fact, nearly 8 in 10 organizations now […]
The post No PhD? No Problem: How Accessible AI Is Making Data Science Everyone’s Business appeared first on DATAVERSITY.
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Author: Rosaria Silipo
AI has rapidly evolved from a futuristic concept to a foundational technology, deeply embedded in the fabric of contemporary organizational processes across industries. Companies leverage AI to enhance efficiency, personalize customer interactions, and drive operational innovation. However, as AI permeates deeper into organizational structures, it brings substantial risks related to data privacy, intellectual property, compliance […]
The post How an Internal AI Governance Council Drives Responsible Innovation appeared first on DATAVERSITY.
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Author: Nichole Windholz
Agentic AI represents a significant evolution beyond traditional rule-based AI systems and generative AI, offering unprecedented autonomy and transformative potential across various sectors. These sophisticated systems can plan, decide, and act independently, promising remarkable advances in efficiency and decision-making. However, this high degree of autonomy, when combined with poorly governed or flawed data, can lead […]
The post The Data Danger of Agentic AI appeared first on DATAVERSITY.
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Author: Samuel Bocetta
With AI systems reshaping enterprises and regulatory frameworks continuously evolving, organizations face a critical challenge: designing AI governance that protects business value without stifling innovation. But how do you future-proof your enterprise for a technology that is evolving at such an incredible pace? The answer lies in building robust data foundations that can adapt to whatever comes […]
The post How to Future-Proof Your Data and AI Strategy appeared first on DATAVERSITY.
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Author: Ojas Rege
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Author: Robert S. Seiner
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Author: Mark Horseman
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Author: Jason Foster