We believe human + AI-driven teammates, working together = the future of teamwork. ✅ Leaders who regularly use AI gain 12% more time to focus on their priorities ✅ AI-driven teams are 1.6x more likely to be effective The magic comes in how AI is implemented ✨ - the best teams use AI as a collaborative, creative partner. It complements their roles. It speeds up processes, eliminates repetitive tasks and provokes new ideas. It makes knowledge easier to find. At Atlassian, we're just scratching the surface of what AI can do for teams. The opportunity is huge and I’m excited to see where we go 🙌 . https://lnkd.in/gBCVvZQA
Henry Wong
1w
Mike Cannon-Brookes, what an interesting viewpoint this is! AI has enormous potential to work in teams as a collaborative partner. But how can we strike a balance so that artificial intelligence fosters innovation without displacing human intuition? How can we continue to make decisions with a human touch? The possibilities that AI offers fascinate me, but I am also interested in the difficulties that lie ahead as we further integrate AI. Ideas?
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John Hanley
1w
Best yet to come, all the data coming together , hope no one turns the switch off.
Diving into the captivating world of fungal-plant symbiosis in "Entangled" got me thinking about the similarities between how plants and fungi cooperate and how we can think about the emeging mysterious human and AI collaboration. Could it be that, like fungi and plants, humans and AI are forging partnerships where each brings unique strengths and abilities to the table?
AI capabilities thoughtfully implemented will enable the modern knowledge worker to be ‘much more effective’ in supporting both our work life and personal life!
AI is a tool for the efficiency in the eco-system /structural formation and task force capabilities of a business setting - not to the exposure of the unintended consequences - the scale of these could wipe out humanity and civilization
Atlassian
3w
We're ready for the future. 😎
Passionate about technology
3wI believe there's going to be phases of adoption with AI. - AI Suggestive/collaborative - AI with read-only actions against APIs and data stories - AI with read/create actions I'm still very curious about how AI architectures are going to evolve to help accelerate the advance in this space. e.g Specialized LLMs, LoRA models, soft of micro-service oriented approaches using models, etc.