💥 AWS crash exposes risks of single-cloud dependence

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Monday’s AI Report

• 1. 💥 AWS crash exposes risks of single-cloud dependence
• 2. ⚡️ Boost the impact of your agentic AI with IBM
• 3. 📄 How AI analytics cut 80% of report requests
• 4. 💫 Meta’s ‘Vibes’ feature drives user surge
• 5. 🧪 Anthropic launches Claude for Sciences

Read Time: 5 minutes

Why Claude Skills Might Be The Biggest AI Update You’ve Haven’t Heard Of

Partner Column exclusively available in this edition of The AI Report
By Charlie Hills — Systems Development Expert

READ JOE’S PERSPECTIVE

AWS crash exposes risks of single-cloud dependence

🚨 Our Report

A widespread Amazon Web Services (AWS) outage disrupted major platforms including Amazon, Alexa, Snapchat, Fortnite, and ChatGPT for several hours early Monday. The issue began in the US-EAST-1 region and was traced to an internal DNS failure within AWS’s EC2 network. Amazon confirmed recovery steps were applied, and most services have since stabilized.

🔓 Key Points

AWS first reported the outage at 3:11 AM ET, affecting core cloud infrastructure and APIs across multiple services, with recovery updates posted around 12:13 PM ET.
The disruption hit Perplexity, Airtable, Canva, Zapier, and the McDonald’s app, halting operations for users and businesses dependent on AWS-hosted systems.
Amazon said the issue came from an internal subsystem monitoring network load balancers, which caused throttling of EC2 instance launches before mitigation.

🔐 Relevance

The incident exposes how deeply integrated AWS is in global digital infrastructure. For enterprises, it reinforces the operational and reputational risks of single-cloud reliance and the importance of redundancy, multi-cloud planning, and real-time incident response.

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Tech leaders face major challenges moving from AI ambition to implementation.

One of the biggest is identifying the right problem or use case to drive productivity.

Leaders today must align process and workflows with the right blend of AI to enable business transformation.

Explore the playbook to see the 3 actions you can take to help boost the impact of your agentic AI.

READ THE PLAYBOOK

How AI analytics cut 80% of report requests

Matillion, a cloud data productivity company, struggled to meet growing internal demand for analytics from teams.
The challenge stemmed from manual dashboard creation and restrictive self-service use, which slowed insight delivery and burdened the small data team.
They implemented ThoughtSpot’s AI-powered analytics platform, enabling employees to query data directly and generate insights without technical expertise.
The result was 60% company-wide adoption, 80% fewer report requests, and an increase in annual savings through faster, self-service decision-making.

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Data shows Meta AI's mobile app has seen a major increase in engagement with it daily active users jumping to 2.7M as of October 17, up from roughly 775,000 just four weeks prior, while daily app installs have climbed to 300,000.
The growth spike aligns with the launch of its "Vibes" feed in September, which introduced short-form AI-generated videos to the app, suggesting the addition is a primary driver of the user activity.
Meta's surge comes as competitors like ChatGPT and Grok have seen modest declines in daily use.

FULL STORY

Anthropic has introduced Claude for Sciences, its first dedicated AI platform for scientific research, aimed at helping labs accelerate discovery and documentation.
The company said the product can cut multi-day validation and reporting tasks down to minutes, offering researchers a way to automate repetitive work without altering the physical pace of experiments.
With this launch, Anthropic signals a strategic expansion into the $2T sciences sector, positioning Claude as a core research assistant for biotech and pharma teams seeking efficiency gains in R&D.

FULL STORY