Remove Azure Remove Machine Learning Remove Outsourced Development
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GTM 140: How Microsoft Scaled from $600M to $5B: The Enterprise Playbook with Hayden Stafford

Sales Hacker

Um, the goal was to bring all of those assets of Azure Modern Workplace, the business application side together, build a really powerful data set, um, all within that common data platform on Azure. Back then it was ML machine learning and. Uh, so a lot of focus on mutual development and mutual success.

Scale 64
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Bulletproof your software with these 12 best application security tools (SAST, DAST, CSPM & WAF)

Audacix

Static Application Security Testing tools (SAST) SAST application security tools analyze your source code to identify potential security vulnerabilities during the development process. This helps you catch and fix issues early on, before they become a part of your application. Which businesses benefit most from application security tools?

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Conversation Intelligence Vs Conversational Intelligence: The Difference Is Much Greater Than You Think!

SmartKarrot

It involves capturing and analyzing conversations using advanced technologies, such as natural language processing (NLP) and machine learning algorithms. Feedback and Learning Conversational intelligence platforms often incorporate feedback loops to continuously improve their performance.

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GTM 139: AI Agents Are Changing Everything — Microsoft’s VP of AI Agents on the New Era of Work and Software | Ray Smith

Sales Hacker

And it could have been described like basic machine learning, or just like kind of an automated spreadsheet on the back end, but they threw AI on it. And this is a paradigm we’ve seen already in like app development or solution development over the last couple of decades. Because something like that was happening.

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10 Top SaaS Trends to Watch in 2025: The Future of Cloud Software

How To Buy Saas

Artificial Intelligence (AI) & Machine Learning (ML) in SaaS Imagine logging into your SaaS platform, and instead of staring at static dashboards or manually running reports, your software tells you exactly whats happening and what to do next. Well, AI and machine learning (ML) are making it a reality. Crazy, right?