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The VP of AI Trap: Why Hiring One Exec Won’t Transform Your Company. In Fact, It May Make It Worse.

SaaStr

” Recruiters cold-calling anyone with “machine learning” on their LinkedIn. These technologies became transformative precisely because they weren’t relegated to a single department. The Silo Problem When you hire a VP of AI, you’re essentially saying: “AI is someone else’s job.”

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NVIDIA Hits $4 Trillion: What Founders Can Learn from the Greatest Growth Story Ever Told

SaaStr

The Infrastructure Domination (2020-2025): Becoming Indispensable Market Cap Journey: $323B → $4T+ The AI boom didn’t just benefit NVIDIA—it made them the most critical infrastructure provider in the most important technology transition of our lifetime. Twilio didn’t stay in SMS—they built communications infrastructure.

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Need to Know | Embedded Finance Unlocks Value for Underserved Small Business Sectors

Stax

Gray emphasized that many businesseswhether they are lawyers, doctors, or field contractorswant to focus on their core expertise rather than juggling technology and financial tools. They are very good at what they do, Gray said, but they dont want to spend time on technology or payments.

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The $939B Question: Is AI Eating SaaS or Feeding It?

SaaStr

Palantir: The One Public B2B Leader Really Getting It Right in AI While most traditional SaaS companies struggle with the AI transition, one public company stands out as a masterclass in AI-native transformation: Palantir Technologies. The numbers tell the story: Q1 2025 : 39% revenue growth year-over-year, with U.S.

AI Search 289
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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.

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GTM 126: Reverse Engineering the Founder Journey: From Scaling Twitter Ads to $650M, 20 Years Operating, and a Webflow Acquisition | Guy Yalif

Sales Hacker

Scott Barker: [4:31] Yeah couldn’t couldn’t agree more i mean i feel like anytime we have these big technological bumps and it’s funny you say internet companies because like when the internet first came out people were like yeah we’re an internet company right and. Guy Yalif: [4:45] Then totally.

Scale 102
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Top 10 Tech Startup Founders in the UK for 2025

Scytale

As the UKs tech startup ecosystem continues to thrive, visionary founders are driving innovation across various industries, shaping the future of technology , finance , healthcare , and beyond. Since its launch in 2020, the startup has gained recognition for its breakthrough technology, securing major funding, including a 2.09

Startup 59
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5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

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Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? This white paper covers: What’s new in machine learning and AI. Real-world examples of companies using the DataRobot automated machine learning platform.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.