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Thursday, November 5, 2026
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6 questions financial firm leaders should ask about AI maturity
Around The Web

6 questions financial firm leaders should ask about AI maturity

  • Liam Hanlon for Jump
  • Updated Oct 27, 2026

Jump reports that AI adoption among financial advisors has surged to 85%. 

Financial advisors ranked dead last in AI adoption in 2023. Here's how fast that changed, and what's still missing
Around The Web

Financial advisors ranked dead last in AI adoption in 2023. Here's how fast that changed, and what's still missing

  • Diana Cabrices for Jump
  • Updated Sep 30, 2026

Jump reports that financial advisors ranked lowest in AI adoption as of 2023, but rapid advancements are being made. 

Is AI content bad for SEO? Here’s what determines ranking
Around The Web

Is AI content bad for SEO? Here’s what determines ranking

  • Albert Dandy Velasquez for WebFX
  • Updated Sep 14, 2026

WebFX reports that AI content is not inherently bad for SEO, as success depends entirely on a thorough research and review process to avoid poor quality.

What businesses can do to reduce ERP system friction
Around The Web

What businesses can do to reduce ERP system friction

  • Anthony Myers for Winfosoft
  • Updated Aug 4, 2026

Winfosoft reports that extending ERP systems with Microsoft's Power Platform can reduce friction by automating processes, centralizing data, and improving user experience. 

AI turned every employee into a builder. It opened a security gap nobody's watching
Around The Web

AI turned every employee into a builder. It opened a security gap nobody's watching

  • Lucia Giles for Vanta
  • Updated Jul 29, 2026

Vanta reports a rise in non-engineering employees creating AI tools, leading to security gaps as many tools bypass traditional security reviews.

The ROI of unifying enterprise fragmentation
Around The Web

The ROI of unifying enterprise fragmentation

  • Christian Grunkemeyer for DataMotion
  • Updated Jul 27, 2026

DataMotion reports that unifying fragmented enterprise systems can enhance productivity, reduce hidden costs, and improve security, compliance, and customer experience. 

The mistakes teams are making when scaling AI, and how to avoid them
Around The Web

The mistakes teams are making when scaling AI, and how to avoid them

  • Jessica Lau for Zapier
  • Jul 8, 2026

Zapier reports six common mistakes teams make when scaling AI, such as lack of shared workflows, ownership, and proper guidelines.

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