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The White Collar Revolution

Tom Tunguz

Occupation Employment (in millions) AI Technology Software Developers & IT 2.71 Code completion, generation, refactoring, security analysis Education & Librarians 2.37 Computer adaptive instruction & testing Engineers 1.73 AI radiology, drug discovery, research analysis Finance 1.13 Sales Managers 0.4

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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

In the sphere of software engineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime. By automating routine and complex tasks alike, AI allows engineers to focus on innovation and strategic tasks.

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Top 10 Trends for Data in 2024

Tom Tunguz

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

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Unveiling the Impact of Low-Code/No-Code on Software Engineering

How To Buy Saas

Now, before we jump to the idea that software engineers will soon be relics of the past, let’s hit pause. They’re changing the game on how engineers work and the kinds of projects they dive into. Let’s peel back the layers on what low-code and no-code tech means for the software engineering world.

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Top PLG Product Manager Roles (+ Candidate Spotlight)

User Pilot

This team works on high-impact projects that aim to amplify our global user base and drive the long-term growth of our products through data analysis, value creation, and experimentation. Those who are uncomfortable working in ambiguous, evolving environments or lack experience in data analysis and metric-driven product decisions.

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What is Product Management in Tech: Guide to the Role Of A Technical PM

User Pilot

On the other hand, a technical product manager brings in-depth technical knowledge to guide the development process , often working closely with engineering and design teams. Data analysis : Data-driven decision-making is fundamental in modern product management. Develop the product vision and expand on the strategy.

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5 AI Chatbots Tested: Which One Works Best for Content Creators?

Buffer Resources

What I was testing for This test was designed to evaluate each chatbot across five key areas: Data analysis: Can it break down LinkedIn performance metrics and extract useful insights? Creativity & content generation: Can it generate fresh, non-generic (super important) content ideas based on real engagement data?