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United States Katฤฑlฤฑm Mart 2019
23 Takip Edilen286 Takipรงiler
Faraz
Faraz@farazcreativesยท
Minimal mark. Maximum meaning. That was the whole goal with Zyntrix.
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Paulius
Paulius@kaireviciusยท
the login to dashboard transition used to be instant page swap without flow. added this animation to make the app to feel smooth
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Wes
Wes@WesleyBancroftยท
Quick brand sprint we did for Thinking Nation, a school history curriculum startup. Don't care what anyone thinks. I love a clever logo โ€”
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The Brand Identity
The Brand Identity@TweetsByTBIยท
This brand is committed to black and white.
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Mark
Mark@markproductยท
enough clean dashboard collected from Pinterest
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Maxim Kuznetsov
Maxim Kuznetsov@disarto_maxยท
Onboarding for a creator economy app
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Dennis Adriaansen โšก๏ธ
Dennis Adriaansen โšก๏ธ@DennisAdriaansยท
Published the first landing page template for Nuxt Charts. Should I create more landing page templates, or just focus on dashboards?
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Asad Synt
Asad Synt@AsadSyntยท
Parallax scrolling makes a website feel premium. Simple as that. Doesn't it?
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Swaraj
Swaraj@Swaraj524ยท
Quality is Finesse. Finesse is Quality ๐ŸคŒ
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Kamil
Kamil@digital_kamilยท
case study page layout exploration
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47
47@47thegreat_ยท
COLUMNS & ROWS Full Project on Behance
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Bartek
Bartek@bartuiuxยท
Design that started everything for me multiple connections, lot of new followers and momentum๐Ÿ‘€ Which one of the brand cards is your favorite? ๐Ÿ‘
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Asad Synt
Asad Synt@AsadSyntยท
Completed this hero section design How does it looks? Not your typical design, innit?
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Mark
Mark@markproductยท
How does this animated background look on the hero?
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Zan Laucius
Zan Laucius@zanlauciusยท
How It Works โ€” section design
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Mehmet ร–zsoy
Mehmet ร–zsoy@mehmetozsoyartยท
Animated this in @rive_app First time trying Rive. Took a while to figure out but pretty fun once it clicked.
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Anuar D.
Anuar D.@Anuar_DesignXยท
Storage of project documentation
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Joel Rosen
Joel Rosen@__joelalexanderยท
archives-001
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Aaron Levie
Aaron Levie@levieยท
Had meetings and a dinner with 20+ enterprise AI and IT leaders today. Lots of interesting conversations around the state of AI in large enterprises, especially regulated businesses. Here are some of general trends: * Agents are clearly the big thing. Enterprises moving from talking about chatbots to agents, though weโ€™re still very early. Coding is still the dominant agentic use-case being adopted thus far, with other categories of across knowledge work starting to emerge. Lots of agentic work moving from pilots and PoCs into production, and some enterprises had lots of active live use-cases. * Agentic use-cases span every part of a business, from back office operations to client facing experiences from sales to customer onboarding workflows. General feeling is that agentic workflows will hit every part of an organization, often with biggest focus on delivering better for customers, getting better insights and intelligence from data and documents, speeding up high ROI workflows with agents, and so on. Very limited discussion on pure cost cutting. * Data and AI governance still remain core challenges. Getting data and content into a spot that agents can securely and easily operate on remains a huge task for more organizations. Years of data management fragmentation that wasnโ€™t a problem now is an issue for enterprises looking to adopt agents. And governing what agents can do with data in a workflow still a major topic. * Identity emerging as a big topic. Can the agent have access to everything you have? In a world of dozens of agents working on behalf, potentially too much data exposure and scope for the agents. How do we manage agents with partitioned level of access to your information? * Lots of emerging questions on how we will budget for tokens across use-cases and teams. Companies donโ€™t want to constrain use-cases, but equally need to be mindful of ultimate token budgets. This is going to become a bigger part of OpEx over time, and probably wonโ€™t make sense to be considered an IT budget anymore. Likely needs to be factored into the rest of operating expenses. * Interoperability is key. Every enterprise is deploying multiple AI systems right now, and itโ€™s unlikely that thereโ€™s going to be a single platform to rule them all. Customers are getting savvier on how to handle agent interoperability, and this will be one of the biggest drivers of an AI stack going forward. Lots more takeaways than just this, but needless to say the momentum is building but equally enterprises are acutely aware of the change management and work ahead. Lots of opportunity right now.
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