With consumer AI now capable of processing simple language prompts and interfacing with unstructured data, is the landscape of information management on the brink of a transformative evolution? #secondbrain #knowledgemanagement #aiassistant #artificialintelligence #virtualassistant https://lnkd.in/emeKD-bX
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This conversation is particularly valuable for business leaders interested in learning how to create culture that supports the strategic role of AI in their organization. #aiadoption #orgnizationalculture #aiculture #digitaltransformation #innovationculture https://lnkd.in/exds9g8e
How to Build an AI Culture
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AI is primarily divided into two categories: conversational AI and generative AI. #aivideo #aichatbot #aitechnology #neuralnetworks #chatbot #trainingdata https://lnkd.in/eFXCYNN2
Conversational AI vs. Generative AI: What’s the Difference?
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a16z cofounder Ben Horowitz and Databricks cofounder and CEO, Ali Ghodsi answer questions around AI and the enterprise, plus their perspectives on open source, whether benchmarks are BS, and the scramble of universities to take part in the very wave they kicked off decades ago. #aienterprise #aiadoption #aigovernance #enterpriseai https://lnkd.in/en2_jiRh
When Will AI Hit the Enterprise?
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The skills gap is a relentless race requiring perpetual upskilling as technology and business strategies rapidly evolve. Success depends on resilient, adaptable organizations focused on continuous learning. #upskilling #upskillingstrategy #upskill #digitaldisuption #skillstrategy #skilldevelopment #continuouslearning https://lnkd.in/eWjf8S9Q
Closing the skills gap is a modern fairytale
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Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists. #aiadoption #aidata #bigdata https://lnkd.in/ez_8wMaz
4 reasons why gen AI projects fail
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One challenge is the bottleneck being created for the human-powered and analyzed data sets that accompany content and assets. More specifically, marketing analytics, data operations and ad ops teams are overwhelmed with an increased need to categorize and standardize associated data, which is compounded by the accelerated pace of generative AI-produced content. https://lnkd.in/e9Cx9SgZ
As Generative AI Grows, Content Overload Could Lead To Data Challenges
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Many of us have heard that thanks to AI, whole job categories will become irrelevant. But what if the more strategic approach is to determine how to use AI to make us more creative and productive? #aiadoption #aiimpacts #aiworktrends #aihumanresources https://lnkd.in/eq_arBMw
Unlock the Potential of Your Workforce With AI
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AI-generated or manipulated images are quickly becoming a lot more realistic. Soon, it may be impossible to tell the difference. That could create an opportunity for people to spread misinformation, and make it difficult to know what’s real. #deepfakes #airegulation #aigovernance #fakeimages https://lnkd.in/eNYmHBjd
Real or AI? The Tech Giants Racing to Stop the Spread of Fake Images
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How tech savvy are you? Or, should we say, digitally dexterous? #digitalfluency #digitalreadiness #digitallearning #digitaltransformation #digitaldisruption https://lnkd.in/efNTBKHf
What is Digital Dexterity?
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Founders of Mem, Kevin Moody and Dennis Xu explore what’s gotten in the way of a true second brain, and how AI may finally unlock what “knowledge management” tools have promised for so long.