Lexica Corp

Microsoft has just open sourced GraphRAG. This is the newest and hopefully the best library for extracting information from unstructured text. https://lnkd.in/e5ADqGxZ It uses LLM to automate the extraction of knowledge graphs from your datasets and text documents, making it much more powerful than standard RAG. It will be necessary to see how it will work with existing ontologies in order to look for these connections in new information.

Data fabric is an emerging concept that supports data access across the business through data integration that’s: ✅ Flexible ✅ Reusable ✅ Augmented ✅ Sometimes automated Explore how data fabric can simplify your data integration infrastructure and reduce technical debt: https://gtnr.it/3JZWPVC Gartner for IT | #GartnerDA #DataFabric #Data

#Podcast Hey amigas! This is the very first podcast episode in English! Liliana Cerilo is the Chief Marketing Officer at Lexica. She is an Ex-Googler and a President Board Member.    In this interview, we explored empowering topics such as:  ✅ Latinas in Artificial Intelligence  ✅ Embracing the New York City experience in your twenties  ✅ Successfully managing a full-time role at Google while being a dedicated mom  ✅ The profound significance of soul searching and recognizing your true worth  ✅ Remaining open to new opportunities and demonstrating adaptability 🎧Listen to the episode: Youtube: https://lnkd.in/gk2vTp3U Listen to all episodes at https://lnkd.in/ghhFw4Jj Show your ❤️ for this podcast by sharing it with your friends and rating it with 5 ⭐ stars on Spotify. 🙏 Thank you for listening! #AI #Latinas #womenInAI #podcast

The honeymoon phase of generative AI is over  A great research report by LucidWorks that reflects what I am also seeing: - Generative AI projects are not going well - Cost and Security is a growing concern - Many companies are not seeing tangible benefits from Generative AI - There is a long path from using a LLM to delivering value in an organization The survey insights are: - Conducted among 1,000 companies across 14 industries. - 63% plan to increase AI spending in 2024, down from 93% in 2023. - 36% will maintain current AI spending levels, up from 6% last year. Challenges noted: - Financial returns on AI projects have been underwhelming. - Only 25% of planned AI investments have been fully implemented. - Significant increase in AI project costs and accuracy concerns. h/t Alastair Roriston Cost and model preferences: - 49% use commercial LLMs like Google's Gemini and OpenAI's ChatGPT. - 30% use a mix of commercial and open-source models. - Shift towards open-source models expected due to performance gains and cost benefits. I won't give away all the great points, but it's a free useful data point for everyone. https://lnkd.in/gBaAtCSm

This AI panel is for real! Join us June 13, 2024 to learn everything you can about AI from our experts Phu Nguyen, CFO at ICE Cybersecurity, Jannies Burlingame, CPA,CRMA, CFO at Lexica Corp, Gerson Rodriguez, Director of AI Strategy & Partnership at NetSuite, Yasmin Zahra Shah, Managing Partner at 360Ventures.AI, and Ty Smith, CEO at CommSafe AI. They'll teach you how to use AI in your business without breaking the bank, and where we're going with it in the not so distant future. Register now: https://lnkd.in/guG4nJV6 #CFO #CFOKnow #CFOGrow #GrowWithUs #CFOLC #CFOLeader #CFO360 #CFOAI #AICFO #SanDiegoCFO #SanDiegoFinance Debbie Dunn-Boysen Leena Gupta Austin Kakar Brian Marszowski Eric Fronk Erik Nakamura Gerald Schemidt Jesus Romero Kyle Casement Lindsey Head, MBA, CFO, COO Maggie Osburn Marcus Hale Ryan Gray Sarah Cox Stephen Mullennix Aaron Taylor Angel Sutoyo Bethany Doyen Branden Drebing Christopher Colton Dan Bruckart Daniel M. Kabban, MBA, ARM Dori Wittman Jacqueline McTague Joshua Mundell, MBA Melody Stutzman Neal Cook

Clinging to Excel to run operations? That’s cute. Meanwhile, the competition is swimming circles around you, ready for a snack. Remember the good old days when Excel was the superhero of operations? It made sense back then. It was versatile, user-friendly, and quickly became the industry standard. We could crunch numbers, create pivot tables, and feel like data wizards. But here's the truth bomb: times have changed, and so must we. Excel had its glory days, but holding on to it now is like trying to win a race with a horse and buggy. Sadly, according to iBase-t, 50% of manufacturers are using manual spreadsheets such as Excel for the majority of processes. Although Excel is a powerful tool that can be used for a wide range of tasks, it has huge limitations when being used for running operations: 1. 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲:  Excel can quickly become unwieldy when dealing with large data sets or complex operations. As data volumes increase, the performance of Excel can slow down significantly, making it difficult to manage operations effectively. 2. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐭𝐫𝐲 𝐄𝐫𝐫𝐨𝐫𝐬: Excel relies heavily on manual data entry, which can lead to errors and inconsistencies in data. These errors can have serious consequences, especially when it comes to critical operational data such as inventory levels, production schedules, or financial records. 3. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐑𝐢𝐬𝐤𝐬: Excel files are typically stored locally on individual computers, which can create security risks if the files contain sensitive data. Unauthorized access or theft of an individual computer can lead to a breach of sensitive operational data. 4. 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Excel files can be difficult to collaborate on, especially when multiple people need to access and update the same file. This can lead to version control issues and errors in data. 5. 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Excel is not designed for automation, which means that many operational processes may require manual intervention. This can be time-consuming and error-prone, leading to inefficiencies and lost productivity. 𝐔𝐭𝐢𝐥𝐢𝐳𝐢𝐧𝐠 𝐜𝐥𝐨𝐮𝐝 𝐢𝐧 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐥𝐞𝐚𝐝𝐬 𝐭𝐨: • 26% increase in demand forecast accuracy (Accenture) • 16% reduction in supply chain operating costs (Accenture) • 5% increase in revenue growth and profitability (Accenture) • 16% average reduction in operations costs (Vanson Bourne) • 15% average reduction in IT spending (Vanson Bourne) • 17% average reduction in IT maintenance costs (Vanson Bourne) • 19% average increase in process efficiency (Vanson Bourne) Add AI on top of the cloud and these numbers increase dramatically! 𝐒𝐨𝐮𝐫𝐜𝐞𝐬: https://lnkd.in/ef4bNBB3 https://lnkd.in/eZgEgpju https://lnkd.in/eXT5kRtt

I thoroughly enjoyed the #yuhmmy panel this past Saturday. It was fantastic to delve into AI's capabilities and, crucially, explore what lies ahead. For me, what lies ahead, is what follows Gen AI in terms of business solutions. We can't fully rely on chatbots that hallucinate or enterprise software that doesn't fully understand our business.That's where Lexica Corp steps in, ensuring we can fill those gaps and guarantee accuracy. Thank you Duránd F. and Maya Elz Davis for the invite and for assembling such a stellar panel Vaughn Davis Andrea Tagliaferro Travis DeMeester.