Mark Heaps’ Post

❓ How is ai revolutionizing our interaction with computers and information? ❓ Here are a few ways it's already happening: 🗣 Voice Assistants: Siri, Alexa, and Google Assistant enable hands-free operation and control through simple voice commands. 🤺 Personalization: AI tailors content and experiences to individual preferences, ensuring relevance and enhancing user satisfaction. 📈 Automation: Automate repetitive tasks, freeing up time for more complex and creative activities. 🍨 Enhanced User Experience: Adaptive interfaces create a seamless and intuitive interaction with technology. 🤖 Chatbots: Provide instant customer support, resolving queries in real-time and improving service efficiency.

Building an AI startup? Join us at #DataCloudDevDay to hear from leading VCs on how to get funded.

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Last week, we won 3rd place in the Wharton AI Hackathon with our project Personify! It was great working with my amazing teammates Ryoma Harris Tiana Wang, Margaret Zhu. Personify is an AI automation tool to reduce your months of market research in minutes. By using OpenAI API, we made time-consuming, costly, complex market research easy and affordable. Personify will learn about the product and simulate customer feedback. To execute this idea, we elected to build a decentralized multi-agent system to optimize the allocation of resources, accuracy of the bots, and reduce the likelihood of failure. Here’s the demo! https://lnkd.in/gkC66f5u

Hey there, you brilliant RevOps magicians, We all know the hustle of aligning CRMs, messages, and work apps together, right? It's like conducting a symphony of data! But fear not! We've got your back. We bring you the ultimate solution: our personal AI assistant. Imagine this: your very own AI buddy, monitoring and alerting you on your work apps & data, all while you chat with it directly through Slack. It's like having a productivity genie at your beck and call! Now, here's the kicker: this magical assistant can save your employees between 1-2 hours a day. Yep, you read that right! Who's ready to see this game-changing tool in action?

Moving up and down the ladder of abstraction. Today I am looking at low level platform concerns for ML workloads and ray.io specifically. There's a good overview what Ray has to offer. It's from 2021, but I guess the fundamentals didn't change that much. "Unifying Large Scale Data Preprocessing and Machine Learning Pipelines with Ray Data" The recording can be found here: https://lnkd.in/eJXu7p3h

Stories Sell 💰 That’s why I love Coda’s “Year in Review” email. Instead of focusing on everything they shipped They shared three of their favourite customer stories from 2023. Each story highlights a specific new capability within their platform. Making the impossible, possible — Coda AI Shifting Focus — Coda Packs Giving a reason to the season — Coda’s Doc Gallery Three genuine stories that introduce you to practical use cases for key Coda features. Check out the blog version → https://lnkd.in/gSf_--e6

Want to know a new open-source solution that brings AI to Playwright? (IMPORTANT UPDATE: Thanks Chris Cooper for pointing this out to me https://lnkd.in/gwjZwX54) Want the difference between AIOps vs. MLOps? And what are some pillars to Pillars of Continuous Testing Find out in this episode of the Test Guild New Shows for the week of Nov 12. So, grab your favorite cup of coffee or tea, and let's do this.   Featuring automation awesomeness contributions from: Applitools mabl Scott Moore ⚛ Theo Vasilis Playwright Amalya Hayrapetova Bas Dijkstra Scott Aziz Dynatrace CloudBees and more   ** ALL LINKS W/TIMESTAMPS IN THE FIRST COMMENT BELOW ** #devsecops #automationtesting #softwaretesting #performancetesting

A new public VAC is now available that demos the new Vertex AI features of RAG via LlamaIndex and grounding via Google Search https://lnkd.in/g6bDRrsJ Also includes a preview of the new sunholo CLI tool and demos asynchronous fetching of multiple models to speed up responses. #vertexai #genai

Abstractions to easily add context from your own documents or from a wider Google Search make it quick to deploy knowledgeable RAG apps on Googles Vertex AI platform. Along with the 1 million plus context window and the new sunholo CLI tool I aim to try to use it to allow devtools in the command line reference my entire code base and docs (85k tokens), directly chatting with the bot to help deploy GenAI experiments. All gains to usability for people bring with it increased viability for automation via agents. Win win for human and bots.