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fromBusiness Insider
1 week ago

The new resilience: automating to innovate

For Jan Gilg, SAP's co-chief revenue officer and head of the Americas market and the global Business Suite, thriving within today's economic climate and technology imperatives isn't about avoiding disruption. It's about using the agility those challenges cultivate to drive innovation. That can start with understanding what's proprietary about your business versus what's a process most businesses rely on. Gilg refers to this as "standardizing where you don't differentiate." In other words, automating standard processes that don't create value.
Artificial intelligence
Artificial intelligence
fromAxios
1 month ago

Why Mark Cuban says AI is "the great democratizer"

AI democratizes access to top expertise and tools, reshapes business operations and hiring at small firms, and needs targeted, reactive regulation to prevent entrenched capture.
E-Commerce
fromHackernoon
3 months ago

Microsoft AppSource: Key Figures for 2025 and Future Outlook | HackerNoon

Microsoft AppSource is crucial for discovering applications that enhance productivity and digital transformation.
fromFast Company
4 months ago

Why we're measuring AI success all wrong-and what leaders should do about it

"When you hire someone for your team, do you only look at their test scores and the speed they work at? Of course not."
Artificial intelligence
#ai
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fromMedium
6 months ago

Beyond ChatGPT: Why Computer Vision Should Be Your Next AI Skill

If you've been focused solely on natural language AI, you're missing half the picture - literally.
Women in technology
Artificial intelligence
fromZDNET
6 months ago

RAG can make AI models riskier and less reliable, new research shows

RAG enhances generative AI by integrating company-specific knowledge, improving response accuracy and relevance.
fromTechzine Global
7 months ago

Analysis: Oracle beats SAP in ERP market

Oracle's ascent to the top of the ERP market in 2024 marks a significant shift, fueled by its Fusion Cloud ERP products specifically catering to various industry needs.
Business intelligence
Artificial intelligence
fromBusiness Insider
7 months ago

Don't get too excited about AI agents yet. They make a lot of mistakes.

Companies are increasingly using AI agents for complex tasks, but errors compound with multi-step processes.
AI agents, while promising, face significant challenges related to accuracy, especially as task complexity increases.
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