FARZANA AFRIN TISHA’s Post

Want to see how I compressed 6-week development cycles into 48-hour sprints? Join me with Brain Station 23 and FARZANA AFRIN TISHA to discover: - How I turned $32k development work into $3 daily investments - The exact patterns that led to 480x acceleration - Practical steps you can implement immediately No theory. No enterprise-scale complexity. Just real patterns that work for businesses ready to move fast. I'll share my journey from AI skeptic to practical implementation in 16 weeks, alongside AI Strategist Hande Ocak Basev. November 29th 4PM-5PM CET / 11 AM ET Link in the comments 👇🏼

The Formula.Monks are mixing up the perfect AI formula for you. 🧪 On July 10, tune into our webinar featuring Temporal Technologies’ Solutions Architect Steve Androulakis to learn how to implement AI into your business based on different scenarios. Plus, you’ll see how the world’s most innovative companies build their services and applications using Temporal to make them reliable to run, productive to enhance and easy to troubleshoot. Register now 👇🏼

If anyone is interested in learning more about Temporal Technologies and their durable execution engine, check out this webinar on July 10!

As per usual, I have a pain point, I rant about it in written form or think about a product and/or features that could help alleviate it. Everyone knows product ideas usually come from "rants" backed by user and market research. Right? So, in this episode of 'Uchenna Rants', I decided to write about building out a product that meets my unresearched "need" for an AI product that could reduce waste, improve data synchronicity between multiple feedback hubs/channels and create more efficient workflows in organisations with legacy technology, systems and processes (Phew! That was a mouthful!). I did so using an AI Product Architecture tool called pre.dev .

🚨 Interesting stat from LinkedIn: they estimate 96% of software engineering tasks are vulnerable to AI. But what are the skills that robots and AI can't replicate? They're the ones we've been overlooking: EQ, empathy, critical listening. Next week on our first episode of Embedded we'll talk about why we're moving from a 'knowledge economy' to a 'relationship economy' - where human skills like empathy and critical thinking become the most valuable currency. We have some incredible insights, and a very powerful set of guests that we're excited to share with you so make sure so stay tuned. Embedded dropping 26.11.24.

Tomorrow: Pick up some practical ways to improve your genAI development process--with embeddings tracing and experiments visualization. 🧪 Sally-Ann DeLucia will be demonstrating how these tools are designed to help you: 📊 Track experiments more efficiently to achieve better results 🧬 Diagnose issues using detailed embedding traces ⚡Accelerate iteration with a clear, visual understanding of your data Our aim here is to simplify the complexities of high-dimensional embeddings, providing you with deeper insights into model performance and optimization. You’ll also learn how to access a comprehensive breakdown of labels for your experiments. Sign Up: https://lnkd.in/gvAvTNAk

🚀 Join Us for a Virtual Meetup: AI's Double-Edged Sword: A Developer's Perspective! 🚀 Today at 1 PM EST via LinkedIn, we're diving deep into the transformative impact of AI on software development with three leading experts in the field: Jeremy Morgan, Xavier Morera, and Marlon Avery. We'll be discussing: ✨ The productivity gains and efficiency boosts that AI brings to development ⚠️ Potential risks of skill degradation and over-reliance on AI tools 🤝 Balancing AI automation with human creativity and innovation 🔄 The evolving role of developers in an AI-enhanced future 🔒 Ethical considerations and security challenges This is a fantastic opportunity to gain insights into the opportunities and challenges AI presents to developers. Don't miss out on this enlightening conversation! 👉 Join us today at 1 PM EST!

would you trust an employee who couldn’t explain their decisions? why trust your AI Agent to do the same? when you hire a new team member, you don’t just let them make decisions without understanding their thought process. you expect them to explain their reasoning, follow your policies, and document their work. but with AI systems, companies have been forced to take a leap of faith, accepting black-box decisions with no visibility. we are changing this! our reasoning-powered AI architecture was built to not just generate responses—but show the thought process behind every decision. from applying return policies to calculating refunds, Siena documents every step. every decision is visible, traceable, and trusted. check out the quick demo i recorded last night and DM me if you want to do a live testing session!👇

Imagine hiring a team member who can’t explain their decisions. Sounds risky, right? Yet many companies trust AI systems to do just that. With Siena, every AI decision is transparent, traceable, and aligned with your policies—because trust starts with understanding. See the quick demo below!

The AI transformation is upon us – the question is not if, but when.  Generative AI is automating the way we work across industries, from software development and marketing to creative roles. With open-source AI tools, routine tasks will be a thing of the past. Will we see a shorter work week thanks to AI-aided time savings? The future is exciting, and I share my insights with other industry leaders in an article published by No Jitter: avpt.co/4aHLQeR.