"Only about 5% of GenAI projects lead to significant monetization" As stated by a recent Stackoverflow's blog post, most of GenAI initiatives never actually make it into production. According to a Harvard Business Review article there could be three main reasons for that: 1️⃣ Companies are still figuring out the previous generation of AI tools. Plenty of companies are still figuring out how to integrate “traditional AI” (that is, non-generative AI; tools like machine learning and rule-based algorithms) into their business operations. 2️⃣ GenAI is designed for very specific use cases. GenAI is not only much more complicated than traditional AI; it’s also designed for highly-specific use cases. Business cases for GenAI are not necessarily easy to find, and GenAI won’t always deliver benefits worth the cost. 3️⃣ We don’t know what we don’t know. The long-term implications of GenAI, including costs and the effects of regulation, are still unknown. Sources: https://lnkd.in/dgUt8Ds4 https://lnkd.in/ddPcg4Tv #GenAI #stackoverflow #AI
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#AIPicks #byBobcatsCoding #WeeklyInsgihts Did you know that only about 5% of GenAI projects actually become real products?🤔 We couldn’t agree more with the reasons detailed in the recent Stack Overflow article! 👇 At Bobcats, we’ve also observed tremendous enthusiasm for AI projects. However, when it comes to discussing in client meetings which GenAI projects would realistically support business goals and the practical steps needed to get started, there is often a lot of uncertainty. A few months ago, we compiled our own insights and experiences on this topic into an AI Innovation Guidebook, which is available for free on our website. 📥 Download your copy here: https://lnkd.in/eRw4p2Ne
Why do only a small percentage of GenAI projects actually make it into production?
stackoverflow.blog
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Today I read a short but interesting article about GenAI: https://lnkd.in/d4DUMSpn Two moments that shocked me the most are: 1/ Google Cloud’s director of AI/ML and generative AI, Miku Jha, estimated that in only about 15% of AI adoptions does he organizations have a clear idea of what it wants to accomplish using GenAI. 2/ Only in about 5% of cases, Jha suggested, will GenAI projects lead to significant monetization of new product offerings. This brings me to the conclusion that it's always a good idea to start not from solution side, but from problem one. Also often novelty solution is not the best one. #genai #monetization
Why do only a small percentage of GenAI projects actually make it into production?
stackoverflow.blog
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Despite the buzz, few generative AI (GenAI) projects in tech are making it to production. A 2023 Gartner report highlights that only 15% of AI adoptions have clear objectives, and just 5% lead to significant revenue. This trend underscores a critical issue: enthusiasm often precedes strategy. Key challenges for GenAI adoption: (1) Lagging traditional AI integration, (2) Niche use cases, (3) Unclear long-term impacts. Successful AI projects share common traits: (1) Start with clear business goals, (2) Master complementary technologies, (3) Keep humans in the loop, (4) Ensure data reliability and traceability.
Why do only a small percentage of GenAI projects actually make it into production?
stackoverflow.blog
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📣 AI brings as much value to businesses as ever. According to McKinsey's survey, the investments made into generative AI are paying off. Are you ready to join the huge list of companies already making big bucks with GenAI? 💲 Let's take a look at the trends first. In the survey above, the researchers tried to explore the value created by gen AI use by business functions. Human resources saw the most significant cost decreases. The most meaningful revenue increases (more than 5 percent) were in supply chain and inventory management. Most of the surveyed agreed that the productivity increases and time savings are immense. And the prospects are for even more promising results. 📝 Are you in for getting all these benefits? Then, I'm inviting you to head over to Applandeo's blog. Check out our latest article, written specifically for all the businesses willing to take the leap of faith and integrate GenAI into their operations Just follow this link: https://cutt.ly/peakL9p5 What will you get inside? I assure you, not just your typical "what is AI" dullness! We at Applandeo went way beyond that. ✅ There are the use cases of AI and the steps your business will have to follow on the road to GenAI implementation. While we were at it, we also mentioned a few of the problems you might encounter and how to avoid them. And that's still far from all the matters we touched on in the article! 🌟 The AI future is exciting, so let's meet it together. And increase our revenues, while we’re at it ;) #Applandeo #generativeAI #GenAI #generativeAIimplementation #AIinbusiness
How to Implement Generative Artificial Intelligence - Applandeo
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🤖 Scaling AI in industry requires strategic planning and best practices to maximize impact. Discover key approaches to effectively integrate and expand AI technologies, ensuring they align with your business goals and drive innovation. Learn how to overcome challenges and harness AI’s full potential for growth. 🚀📈 #AIScaling #TechInnovation #MarketDaily #AIIntegration #BusinessGrowth #TechStrategy #ArtificialIntelligence #IndustryTrends https://lnkd.in/dMuB428U
Accelerating Success: Best Practices for Scaling AI in Industry
https://marketdaily.com
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Leap AI wants to help businesses build and integrate AI workflows https://lnkd.in/e7K7JzgT Visit https://thehorizon.ai for more AI news. #AI #artificialintelligence #technology #leapai
Leap AI wants to help businesses build and integrate AI workflows
https://thehorizon.ai
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It’s easy to get caught up in the excitement of a new technology and miss the opportunity to create value at scale. It’s telling that only 11% of companies have adopted Gen AI at scale, according to McKinsey. The bit that stood out to me in this article is “hard truth” number two: it’s not the pieces, it’s how the pieces fit together. In the most ideal circumstances, the enterprise tech stack is a behemoth of moving parts that need to work together for data to move efficiently from department to department. AI solutions have to navigate the same technical labyrinth. “The challenge lies in orchestrating the range of interactions and integrations at scale. …. As a new component is added to deliver a solution, it creates a ripple effect on all the other components in the system, adding exponential complexity to the overall solution.” Solving THAT problem is the key to a scalable AI solution that delivers value. This McKinsey article provides some excellent points. https://lnkd.in/eqKn_qza
Moving past gen AI’s honeymoon phase: Seven hard truths for CIOs to get from pilot to scale
mckinsey.com
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Artifical Intelligence is transforming industries rapidly, yet it's a concept still new to most. Although AI has been components of software implementations for years, recent advancements have truly begun to reshape our world at an unprecedented pace. Like… really fast! Whether you're in tech, healthcare, finance, or any other industry, AI is becoming an indispensable tool for unlocking new opportunities and overcoming challenges. Here are a few steps to consider if you are still working through your AI transformation 👇 https://lnkd.in/gKFnPC-x #AI #AIConsulting #AIMarketing
There are Two Types of Organizations: Those Who are Great at AI and Everybody Else
letsgosova.com
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The Transformative Power of AI in the Technology Sector Artificial Intelligence (AI) has emerged as a pivotal force in the technology sector, reshaping industries and redefining business paradigms. However, as companies rush to adopt AI technologies, a pressing concern looms: the return on investment (ROI) from AI deployment. Experts emphasize that https://lnkd.in/g-DsKDRa
AI Boosts Company Profits by Up to 20%, According to New Report
https://anunlimitedamountofmoney.com
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✨ Thinking About Our Future with AI in 2024 ✨ Let’s think about how AI can change our work and lives as we move into 2024. It’s a big deal—it could help the world make a lot more money ($14 trillion by 2035!) and make our jobs easier. But to get there, we’ve got to figure out some tricky stuff, like getting better at using AI, finding the right people who know how to work with it, and making sure all our computer systems can talk to each other. It’s about us coming together, learning, and growing with AI. #FutureWithAI #GrowWithAI #AI2024
A Generative AI Reset: Turn Potential into Value in 2024
dgtl.team
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