Mantel Group’s Post

Discover how to boost your GenAI development with Neo4j's graphRAG ecosystem!💪 A big thank you to Michael Hunger and Zachary Blumenfeld for their insightful webinar, highlighting the power of Knowledge Graph builder. Master the art of: ▶️ Creating a knowledge graph from disparate data swiftly ▶️ Utilizing free ecosystem tools for effective GraphRAG Still curious? You can watch the complete webinar on demand: https://bit.ly/4d1ugU7 Keep learning, keep growing with #Neo4j #GraphRAG #Llms. Check out this sneak peek 👇

Hey, Folks = The Databricks Data+AI Summit 2024 (DAIS) is coming soon, on June 10-13, 2024 in San Francisco. To help you understand what DAIS has to offer to data professionals and organizations that run on data and AI, I just published an article called "Sneak Peek: Databricks Data+AI Summit 2024." The article explains who should attend, plus what you can expect to do and learn at DAIS. Read my Sneak Peek article online here: https://lnkd.in/dW3JfjMq DAIS 2024 is one of the best annual data and analytics (D&A) conferences, and I encourage D&A professionals to consider attending. NOTE = You may need an account with Solutions Review's Insight Jam web sites to access my article. To get an account, go to https://insightjam.com and click the button Request to Join. I hope the article helps you!

Kickstart GenAI development with Neo4j's GraphRAG ecosystem 💪 This is a snippet of a webinar hosted by Michael Hunger and Zachary Blumenfeld where they presented the Knowledge Graph builder: Watch it on demand, and can learn about: ▶️ Quickly starting a knowledge graph from unstructured data ▶️ Free ecosystem tools for talking to your knowledge graph and performing GraphRAG. Full webinar here: https://bit.ly/4d1ugU7 #Neo4j #GraphRAG #Llms

I will be attending the Databricks Data+AI Summit 2024 (DAIS) next week. If you'd like to meet face-to-face there, feel free to direct message me on LinkedIn. If you'd like some tips about what sessions to attend at DAIS (plus what I think the biggest announcement will be), please read my article about DAIS in InsightJam.com. Click on the image below to access the article. Cheers!

I am thrilled to welcome Symbl.ai 🚀 to Mutt's Universe. We keep expanding our network through hard work, good relationships, and most importantly by being experts in what we do and having an excellent reputation as professionals. Through this collaboration, our technical teams have successfully built several use cases using Symbl's platform, Nebula LLM, and Embeddings. 📈 Mutt Data provides the know-how to expedite data usage in the PoC while Symbl.ai’s pre-built, specialized understanding and generative models eliminate the cost of acquiring data and training models from scratch and accelerate time to value. You can learn more in this article. Check it out ➡️https://lnkd.in/dr4ybYcM

We are building an #ot community and you are welcome to be part of it. Its amazing the amount of insights, knowledge and new ideas that stem from these engagements. Follow us on LinkedIn to receive details of upcoming industry events on #industry40 and #digitaltransformation. #transportation #miningindustry #utilities #infrastructure #industrialautomation

Overwhelming response to the next Tech This Out meetup's RSVPs! 😶 In just under a week after announcing the event, we have triple the number of registrations that we usually would in this timeframe. We aren't talking Woodstock '69 numbers here, but the pandemic wreaked havoc on in-person Meetup attendance. There's also a rule of thumb for every Meetup where you are guaranteed that a percentage of RSVPs won't show up. Even if that happens here, at the current rate of RSVPs, we might actually have to cap attendance and create a waitlist 😅 If you haven't yet, register and come see Julian Gericke do cool stuff with AI and Automation on 28 Feb: https://lnkd.in/dCr8Dm-2

Within Europe, it makes sense to focus on deep tech and their stages of risk taking. Tackle these systematically. 1. Scientific risk 2. Engineering risk 3. Commercialisation risk Europe is on par with the fundamentals on this, and fits better to ”no need to hype to get user traction” mentality.

We love to see creative minds + technology = innovative applications in our daily works. HTX (Home Team Science & Technology Agency). The Teams have demonstrated such trait’s through their MVP with Streamlit in Snowflake & #CortexAI Thank you, Pan Yong Ng & Ivan Leong for organizing this hackathon. We hope to see brilliant minds creating more AI products which aide in productivity and delivering cool services for their users. Thank you Fayanne Foo Sasi Subramaniam ChangBoon Heng Patricia Leong, for your efforts in supporting the event! #ResponsibleAI #AIDrivenAnalytics #DatacentricAI

Happy and proud to have won Didomi's 2024 hackathon on AI innovation with the dream team Virginie Di Stefano & Dorian Cayron! The challenge: create an MVP in 2 half days that improves productivity or our product. Problem statement: while most of our sales calls are recorded, they are an underutilized goldmine of insights. Our solutions are set to roll out across the company and we project to save over 300 hours (42 days) of work annually. (1) Automated MEDDIC completion and analysis → MEDDIC is our internal sales qualification framework, helping us assess a prospect’s fit (metrics, decision-makers, pain points, etc.). → Keeping it up to date is time-consuming but drives a 15% increase in win rates. → We used Praiz, Make, and OpenAI API to automatically populate MEDDIC fields in Salesforce. → After every call, MEDDIC is updated, and missing info or blind spots are flagged for the team. (2) Market and competition insights for revenue leadership and product marketing → Our goal is to always have the latest market and competition insights without manually listening to every prospect call. → Using Praiz, meeting minutes are pushed in a standardized format to Slack or Google Drive. → With Dust's RAG capabilities (Retrieval-Augmented-Generation), key insights are recapped over specific timeframes on Slack (e.g., daily, weekly, monthly recaps).