Catch up on all the insights and live demos from our recent Firecat First Fridays event with Richard Gower — the event is now live on our website! Explore how AI is changing the game and what that means for your business. #FirecatFirstFridays #AI #TechInnovation #TechTalks
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Join us tomorrow as Richard Gower shares his insights on Artificial Intelligence. Learn about the transformative power of AI and its impact on your business, society, and beyond. AI is constantly evolving, and it's important to stay informed about the latest trends and technologies that can impact your organization. See you there! #FirecatFirstFridays #AI #TechInnovation
Keeping Up with AI: Opportunities and Risks - Firecat Studio
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In the evolving landscape of artificial intelligence, the integration of AI into team dynamics presents intriguing possibilities. This post briefly explores a proof of concept where a SCRUM team is simulated using conversational AI, leveraging Microsoft's AutoGen framework. The initiative, spearheaded by Bojan Puskarevic, Raman Apanovich, and Jan-Michael Müggenburg, members of the AI4Architecture's Catalyst Team at Deutsche Telekom IT GmbH, aimed to replicate traditional human team structures within an AI environment. The primary objective was to assess how conversational AI could emulate the roles and interactions of a SCRUM team. The team adopted existing human team setups, assigning specific roles to AI agents to observe their interactions and task management capabilities. Interestingly, the AI agents began to mimic human-like behaviors, engaging in extensive discussions about SCRUM processes rather than focusing on task execution. 😂 This behavior highlighted a significant challenge: the direct translation of human team structures to AI environments may not yield the desired productivity or creativity. The findings suggest that while AI can replicate certain human interactions, there is a need for tailored approaches in designing AI teams. Adjustments in AI role assignments and interaction protocols could enhance efficiency and innovation. This proof of concept underscores the potential and limitations of using conversational AI in team settings. We rapidly changed our approaches and are now discussing other concepts, such as the auto-creation of assistants and how to keep the virtual team's knowledge and learnings available to create a kind of team subconscious. It is, on the one hand, shocking and, on the other hand, so inspiring. Definitely, it can change the world, maybe. 😎
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Transformational Agile Leader | VP Agile Transformation | Agile Coach | Driving Digital Excellence & Operational Efficiency through Strategic Agile Initiatives | Ex-U.S. Army | SAFe & DevOps Expert
Succeeding with Artificial Intelligence (AI) in SAFe https://lnkd.in/gkpPYAZA #scaledagileframework #aiforbusiness #agility #productinnovation #valuestreammanagement #operationalefficiency #insights #cognitiveflexibility #learninganddevelopment #cio #humanresourcesmanagement #releasemanagement
Advanced Topic - Succeeding with AI in SAFe - Scaled Agile Framework
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Have an idea you're passionate about? Imagine turning it into a functional product in just two weeks. I was able to create my latest app Quedar thanks to the CRISP Framework and AI. AI accelerates development, validates ideas quickly, and helps you build more efficiently. Let's connect if you want to innovate or refine an existing concept! https://lnkd.in/dPR3YZQn #AI #ProductDevelopment #Innovation #ProductManagement
Transform Your Idea into Reality with AI: Book a Consultation Today
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7 Tips for Building a Robust Strategy for AI Product Development #AIProductDevelopment #AIProductDevelopmentCompany https://lnkd.in/gGH78nZy Discover 7 essential tips to craft a strong strategy for AI product development. Learn how to innovate effectively for success.
7 Tips for Building a Robust Strategy for AI Product Development
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AI-driven product development is revolutionizing the way we approach ideation and prototyping. This transformation is not only accelerating the product development lifecycle but also enhancing the quality and innovation of new products. Dive into the intricacies of this fascinating journey in this latest article: https://hubs.li/Q02Hskkd0 Learn how leveraging AI can streamline your development processes, reduce time-to-market, and ensure your products meet the highest standards of quality and innovation. #AIDevelopment #ProductDevelopment #Innovation #Prototyping #TechInnovation #AI #MachineLearning #ProductDesign #TechTrends #DigitalTransformation
AI-Driven Product Development: From Ideation to Prototyping | BairesDev
bairesdev.com
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7 Tips for Building a Robust Strategy for AI Product Development #AIProductDevelopment #AIProductDevelopmentCompany https://lnkd.in/gFtaQ5ks Discover 7 essential tips to craft a strong strategy for AI product development. Learn how to innovate effectively for success.
7 Tips for Building a Robust Strategy for AI Product Development
articles.howto-tips.com
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Check out this article on bringing AI to scale across the enterprise: “Without a holistic strategy aligning with organizational values and objectives, your first sparks of AI innovation could fizzle before they've caught fire.”
Expanding on early success to deliver AI at scale: To accelerate momentum, harness the power of agile development, automation and strategic reinvestment
cgi.com
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Founder | Turning Idea to Flawless Product, On Time | Data & AI Evangelist | Specialised in Generative AI
Why data variety is King for building Fair AI Solutions In the world of AI, data is king.But what if the real key to building fair and effective AI solutions lies not in the sheer quantity of data, but in its variety? Traditionally, the focus has been on gathering massive amounts of data to train AI models. The assumption is the more the data, the better the results. This approach, however, can lead to biased and unfair AI if the data itself isn't representative of the real world. Here's why high variety is crucial for fair AI: It helps avoid Bias. Imagine training an AI for loan approvals using only data from a specific demographic. The model might learn patterns that unfairly disadvantage other groups. Diverse data helps mitigate bias by exposing the AI to a wider range of scenarios and people. The real world is messy and complex. Data that only reflects a narrow slice of reality creates a skewed understanding for the AI. Variety ensures the AI encounters the full spectrum of situations it might face when deployed. High-variety data includes different types of information - text, images, audio, sensor data. This allows the AI to grasp the subtleties and nuances that can't be captured by just numbers. This post is the expansion of the key point mentioned in our AI Manifesto https://lnkd.in/ggQdb6mg "High Variety Data over Low variety Data'
AI Manifesto - Black Basil Technologies
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Turn "Conversational AI" from buzz term to reality at your organization with Copilot Studio! 💡 Are you looking for a way to make conversational AI work for your business? Copilot Studio is the answer! With Copilot Studio, you can create your own copilot, designed for your specific audiences, and tailored to your business processes and workflows. Copilot Studio is available on multiple channels, so you can reach your customers where they are. Plus, with #CopilotStudio, you can turn the buzz term "Conversational AI" into a reality for your organization. Don't miss out on this opportunity to take your business to the next level with Copilot Studio. #msftadvocate
Building your own copilot with Copilot Studio
microsoftcopilotstudio.microsoft.com
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Owner at Smart AI Designs
1moI enjoyed this Lunch and Learn an excellent general overview of LLM Large Language Models.