Artificial Intelligence

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Wells Fargo’s Tech Evolution Under Bridget Engle’s Leadership

For seven years, Wells Fargo lived with handcuffs. The 2018 Federal Reserve imposed asset cap froze the bank’s assets at ~$1.95 trillion, punishing it for governance and risk failures. While peers like Bank of America and PNC expanded balance sheets by 40%, Wells was flatlining. The cap slowed hiring, clouded strategy, and forced Wells to fix […]

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A Guide to Document Classification: Using Machine Learning, Deep Learning & OCR

Key takeaways:Problem and solution: Manual document sorting is a major business bottleneck. AI document classification automates this slow and error-prone process by using artificial intelligence to instantly categorize files, such as invoices, contracts, and reports, thereby saving significant time and money.Core technology stack: Modern classification is not a single tool but a combination of technologies.

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How Modern AI Document Processing Activates Your Trapped Data

If you’re in finance, legal, or operations, you’re already well aware that your most critical business intelligence is trapped in a chaotic mess of unstructured data—PDFs, scans, and emails. The real conversation isn’t about the problem anymore; it’s about finding a document processing solution that actually works without creating more headaches. We’ve all been burned

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Customer Onboarding Beyond KYC: Accelerating Insurance Revenue with End-to-End Application Automation

Beyond KYC: The New Battleground for Revenue AccelerationStudies show that when onboarding lag stretches into days, insurers lose up to 25% of prospective group business, as brokers and buyers drop off in frustration. And while sector-wide data specific to group onboarding drop-off is limited, insurance backlogs are well-documented to hamper growth and damage retention. Delays

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A practical guide to modern document parsing

Here in 2025, document processing systems are more sophisticated than ever, yet the old principle ‘Garbage In, Garbage Out’ (GIGO) remains critically relevant. Organizations investing heavily in Retrieval-Augmented Generation (RAG) systems and fine-tuned LLMs often overlook a fundamental bottleneck: data quality at the source.Before any AI system can deliver intelligent responses, the unstructured data from

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The AI Hype Index: The people can’t get enough of AI slop

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. Last year, the fantasy author Joanna Maciejewska went viral (if such a thing is still possible on X) with a post saying “I

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Automating Invoice Data Extraction: An End-to-End Workflow Guide

Let’s start with a scene that’s probably familiar. It’s the end of the month, and a mountain of invoices has piled up on someone’s desk—or, more likely, in their inbox. Each one needs to be opened, read, and its data manually keyed into an accounting system. It’s a slow, tedious process, prone to human error,

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Designing digital resilience in the agentic AI era

Digital resilience—the ability to prevent, withstand, and recover from digital disruptions—has long been a strategic priority for enterprises. With the rise of agentic AI, the urgency for robust resilience is greater than ever. Agentic AI represents a new generation of autonomous systems capable of proactive planning, reasoning, and executing tasks with minimal human intervention. As

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What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate

In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building AI that played games with superhuman skill and was starting up a secret project to predict the structures of proteins. He applied for a job. Just three years later, Jumper celebrated a stunning win

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The State of AI: Chatbot companions and the future of our privacy

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution reshaping global power. In this week’s conversation MIT Technology Review’s senior reporter for features and investigations, Eileen Guo, and FT tech correspondent Melissa

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