Remove AI Modeling Remove Data Quality Remove Explainability
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Narrowing the confidence gap for wider AI adoption

AI News

In this article, we’ll examine the barriers to AI adoption, and share some measures that business leaders can take to overcome them. ” Today, only 43% of IT professionals say they’re confident about their ability to meet AI’s data demands. The best way to overcome this hurdle is to go back to data basics.

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AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

Unite.AI

Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators. Financial institutions are also under increasing pressure to use Explainable AI (XAI) tools to make AI-driven decisions understandable to regulators and auditors.

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How Quality Data Fuels Superior Model Performance

Unite.AI

Heres the thing no one talks about: the most sophisticated AI model in the world is useless without the right fuel. That fuel is dataand not just any data, but high-quality, purpose-built, and meticulously curated datasets. Data-centric AI flips the traditional script. Why is this the case?

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Data Monocultures in AI: Threats to Diversity and Innovation

Unite.AI

AI is reshaping the world, from transforming healthcare to reforming education. Data is at the centre of this revolutionthe fuel that powers every AI model. Why It Matters As AI takes on more prominent roles in decision-making, data monocultures can have real-world consequences.

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Inna Tokarev Sela, CEO and Founder of illumex – Interview Series

Unite.AI

Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics? While RAG attempts to customize off-the-shelf AI models by feeding them organizational data and logic, it faces several limitations. illumex focuses on Generative Semantic Fabric.

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The Path from RPA to Autonomous Agents

Unite.AI

AI agents can help organizations be more effective, more productive, and improve the customer and employee experience, all while reducing costs. Regularly involve business stakeholders in the AI assessment/selection process to ensure alignment and provide clear ROI.

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Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

Unite.AI

McKinsey Global Institute estimates that generative AI could add $60 billion to $110 billion annually to the sector. From technical limitations to data quality and ethical concerns, it’s clear that the journey ahead is still full of obstacles. But while there’s a lot of enthusiasm, significant challenges remain.