Polina Alber’s Post

"Generative AI’s Impact is Overblown" is a popular headline I see often. A key lesson I learned from my last startup's failure was that focusing on cutting-edge technology, instead of addressing tangible customer problems, is a losing proposition. There is a similar trend with Generative AI. Many builders are too eager to integrate the tech without considering if it meets their customers' needs. GenAI is a powerful tool, but it should be looked at as one option among many, rather than a solution in search of a problem. Is the GenAI story overhyped or are you finding ways it can solve real customer problems?

Regarding the current AI vendor landscape: We need more who can clearly articulate the problem their product/solution helps to solve and how actual value can be achieved. We need less who focus their pitch/discussions around theoretical concepts, research papers, and rants about the path to AGI. While I understand the value in both (research drives innovation, innovation drives new value streams), businesses who want to actually implement AI solutions want to buy impact/value, not theory. If you cannot clearly articulate your product/solution in this context, you will likely be bucketed into "just another AI startup".

Organizations that successfully integrate AI into their ecosystems vs. redefining their value proposition stand to have a greater impact on their CX. At a startup conference I recently attended, one panelist summed up the rush to incorporate AI as such: 'Think about AI like the mobile revolution: Those that succeeded in mobile were not the first to deploy the tech. Test, listen, learn, and only then deploy.'

🚀 The future of AI is here! 🌟 Industry leaders are predicting a game-changing shift with AutoML and no-code platforms. 🤖✨ 🔍 "Industry Leaders Foresee a Future Where AutoML and No-Code Platforms Dominate" 🔍 Imagine building powerful AI models without writing a single line of code! In this reel, we explore: 1️⃣ The rise of AutoML and its impact on the industry 2️⃣ How no-code platforms are democratizing AI development 3️⃣ Real-world applications and success stories Get ready to revolutionize your workflow and unlock new possibilities with these cutting-edge technologies. The future is now! 💡🚀 #AI #AutoML #NoCode #MachineLearning #TechInnovation #FutureOfWork #AIdevelopment #futureAI

"Thrilled to share my latest achievement: AI for Techies! 🚀 This milestone deepens my understanding of how AI transforms industries—empowering developers with smarter tools, automating workflows, and driving innovation in ways we couldn't imagine a decade ago. Here’s to leveraging AI to create impactful solutions and inspire the next wave of tech advancements! 💡" Would you like to include any specific details about the achievement?

"GenAI: Application Matters More" In this article, I explore the idea that the application is a key to unlocking the full potential of GenAI. It’s NOT just about the technology, so what kind of questions should we be asking first? This is the start of a series where I’ll share insights and experiences from the field. I’d love to hear your thoughts, let’s start a conversation! 👉 Read the first article here: https://lnkd.in/e9kHRJ_y #CustomerExperience #GenAI #InsightsFromExperience

Despite all the hype around AI, when we're in the thick of a project, struggling to speed things up or enhance quality, the tools that promise to harness AI's power often fall short. The so-called 'ready-made' solutions are fewer and less effective than you'd expect. New generation of start ups that are buidling tools and frameworks for building custom AI agents are arriving soon, which will allow businesses to develop AI-driven strategies for different facets of their operations as simple as a click! #c10labs 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘀𝗽𝗮𝗰𝗲 ... 𝗰𝗼𝗺𝗲 𝘀𝗵𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝘀𝘁𝗼𝗿𝘆 𝘄𝗶𝘁𝗵 𝘂𝘀 𝗮𝗻𝗱 𝘀𝗲𝗲 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱, 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲.

🚀 Dive into the future with the latest AI breakthroughs and startup stories! 💡 Stay ahead of the curve with our refreshing news feed. #InnovateOrPerish #AIRevolution

🔍 A bit of advice from the AI trenches -- quality wins every time. Feeling nostalgic this morning, thinking about all the AI projects we’ve worked on at AI Dev Lab. One thing we’ve learned—often the hard way—is this: Scaling fast without substance is a trap. Sure, it feels good to deploy quickly, but if it doesn’t solve the right problem, it’s just noise. The real magic? Focus on tailored solutions that prioritize impact over volume. Deploy AI where it matters most—not everywhere. A high-impact, custom tool will always outperform a cookie-cutter, mass-deployed one. Here are a few questions we’ve started asking ourselves (and maybe you should too): - Are we solving root problems or just symptoms? - Does this solution fit seamlessly into existing workflows? - Can we measure the value it delivers? - Is it designed to adapt and stay relevant over time? ✨ And honestly, this isn’t just about AI—it’s life. Fewer, more meaningful actions lead to bigger, better outcomes. Whether you’re building tech, teams, or relationships: quality wins every time. #AIInnovation #SmartAI #TechLeadership #CustomAI

Attention Development Teams! 📣 👀 If you’re using – or thinking about using – generative AI to improve your team’s output, you’ll want to talk to us about TurinTech AI, the newest addition to USAM’s portfolio of real solutions to hard business and technical challenges. TurinTech’s extraordinary products realize the vision that LLMs fail to deliver on their own: Specific, actionable, and defensible recommendations that allow you to improve existing code or create high-performing ML models. 🤖 TurnTech’s proprietary approach also does the initial testing, so you don’t waste time looking at changes that just won’t work when you put them into production.  Genius! Tell us about your challenges making code better, faster, greener, safer or cleaner, and we’ll help you understand how TurinTech can help you eliminate them!  🙌 #FinTech #GenAI #LLMs #CodeOptimization #USAMGroup