Dennison DeGregor

"Through a meticulously designed questionnaire, we offer a blend of standard demographic inquiries alongside innovative questions about social media habits, organizational follow-ups, and event-specific perceptions." https://lttr.ai/AT2xT #Dataanalytics #Datascientist #Datadriven #MeticulouslyDesignedQuestionnaire #SocialMediaHabits #ShepherdSHopeAttests #ShepherdSHopeUnderscores #DriveMissionFocusedOutcomes #CreateImpactfulEvents #ActionableStepsTailored #dataanalytics #datascientist #datadriven

2

WorFBench: A Benchmark for Evaluating Complex Workflow Generation in Large Language Model Agents Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. A critical capability for LLM agents is decomposing complex problems into executable subtasks through workflows, which serve as intermediate states to improve debugging and interpretability. While workflows provide prior knowledge to prevent hallucinations, current evaluation benchmarks for workflow generation face significant challenges. Read the full article: https://lnkd.in/eqv7pQCt Paper: https://lnkd.in/eWDxh6Vz

5

NEW in the #KempnerInstitute blog: A method to predict how #LLMs scale w/ compute across different datasets. Read it here: https://buff.ly/4iqPw9o

8

PyData Paris 2024 45-minute Keynote by Olivier Grisel: 🟠 Handling predictive uncertainty in machine learning Machine Learning practitioners build predictive models from "noisy" data resulting in uncertain predictions. But what does "noise" mean in a machine learning context? #python #machinelearning #datascience #opensource https://lnkd.in/ez2hn8dp

104

5 Comments

Synthetic Data –an Overview, a Taxonomy & some FAQs - the title of my latest blog https://lnkd.in/exWfryJS One of my key points, based on recent research by #NewMR is that whatever your views on Synthetic Data, you are in a minority. The current range of views encompasses lots of different views and none of them represents a majority view. I think this means we all need to be a little but cautious in our pronouncements and recommendations. I hope you find my post useful and I'd love to hear your take on it? Judith Passingham, Dharmendra Jain, Agus Elissondo, Colin Strong, Christian Walsh, Barry Jennings, Sue York, Karine Pepin, Alexandra Kuzmina, Ben Leet, StJohn "Singe" Deakins, Yogesh Chavda, Hans Zijlstra, Sidi Lemine, Jonathan (JD) Deitch, Adriana R., Frank Pica, Febronia Ruocco, Scott Swigart, Jerome Sopocko, Paige Schoenfeld, Jean-Marc Leger, Leonardo Valente, Gabriela Kusters, Germaine Reyes, Ravinder Roopra, Melanie Courtright, Renee Smith, Kathy Joe, Elise Misse, Lisa Salas

82

37 Comments

https://buff.ly/3L4F2gn #Webinar: Dissecting the nuances of various #data sovereignty #legislation, exploring #BestPractices for model training and inference pipelines that meet these requirements, and identifying critical considerations for #AI teams #PureStorage #DataPlatform #DataArchitecture

1

New on the CDPI blog: David Raab of the CDP Institute details the differences between various #CustomerData management platforms. https://lnkd.in/eP7heqRY #DataManagement

5

Many of the new features in July 2024 are designed to accelerate analytics exploration. There are more controls for visualization formatting, including conditional formatting for totals and subtotals, which provides content authors the opportunity to easily highlight focus areas and illuminate trends. https://lnkd.in/eq2R9S7P

94

AtScale + Snowflake + Delphi Labs - Unlock the Potential of Self-Service Analytics – https://bit.ly/3UOjIBu The Future of Self-Service Analytics with Snowflake, Semantic Layers & LLMs - How to Deliver Self-Service Analytics on Snowflake Using a Semantic Layer and LLMs Join AtScale’s webinar on May 22nd to unlock next-level data analytics with Snowflake, AtScale, and Delphi Labs. Learn from industry experts how to integrate Snowflake's powerful platform with AtScale's Semantic Layer and leverage LLM’s for transformative insights. Register today! Wednesday, May 22, 2024 2:00 PM ET (11:00 AM PT) | 60 mins Featured Speakers • Dave Mariani, Founder & CTO, AtScale • Alex Ross, Senior Solutions Engineer, Snowflake • David Jayatillake, CEO, Delphi Labs • Michael Irvine, Co-Founder, Delphi Labs You’re invited! - https://bit.ly/3UOjIBu Learn how to integrate Snowflake's data platform with AtScale’s Semantic Layer and Large Language Models (LLMs) to enhance self-service analytics capabilities. You'll walk away with actionable insights to harness the full potential of this innovative approach. Don't miss this opportunity to enhance your data strategy and stay ahead in today's dynamic data landscape. In this webinar, we’ll cover: • The Foundation of Data Management: Learn from Alex Ross, Senior Solutions Engineer at Snowflake, about the fundamentals of an efficient data platform. • Introduction to Semantic Layers: Discover how a semantic layer can simplify data accessibility and enhance business insights with Dave Mariani, CTO at AtScale. • Power of LLMs in Analytics: Delphi Labs will present a live demonstration of how LLMs integrated with a semantic layer can revolutionize data interaction. Who should watch This webinar is designed for those eager to streamline their analytics processes and make data-driven decisions faster and more efficiently.

2

Which Sentiment Analysis Approach is Right for Your Contact Centre: NLP-Based or Generative AI? 📊 John Matthew Ortiz at MiaRec compares the latest two approaches to achieving Sentiment Analysis: Natural Language Processing or Simple Language Model-based versus Generative AI or Large Language Model-based Sentiment Analysis. Read his comparison here 👉 https://lnkd.in/dnNiCnUh #AI #CX #ContactCentres

7

Take it from John Matthew Ortiz, Sentiment Analysis just got so much more accurate and incredibly easy to customize. Learn why in the article below!

2

🤝 Strong partnerships are key for successful qualitative research! "Nothing leads to better outcomes than working with teams you trust." Discover the importance of relationships in achieving research success. Find out more in this blog by Joey Doney of Quantum Leap Insights: https://hubs.la/Q02pCSGF0 #FaceToFaceMRX #QualitativeResearch #mrx

3

Open, Modular and Composable Analytics Will Scale a Decision Advantage For Less: https://lnkd.in/eBZSfjjN Organizations under increasing pressure to deliver flexible, cost-effective analytics must continually adapt to evolving stakeholder needs as Generative AI amplifies user expectations and governance remains an evergreen challenge. Decision leaders distributed across departments need to build their organization’s decision advantage without exceeding budgets, so, are adopting open, modular, and composable analytics architectures. #Analytics #BusinessIntelligence #ComposableAnalytics #DataAnalytics

22

Our latest article in the #DataViz series by Sheldon breaks down the do's and don'ts of pie charts. You'll learn: ⏱️ When to Use Pie Charts: Learn the ideal scenarios for applying pie charts to ensure clarity and effectiveness. 🎨 Best Practices for Design: Get tips on simplifying your charts, aggregating categories, and enhancing visual appeal for better interpretation. ☔ Avoiding Common Pitfalls: Understand why 3D pie charts and cluttered visuals can sabotage your message. If you want to elevate your data presentations and make sure your pie charts work for you, this article is a must-read! https://loom.ly/XxDpy7M #DataVisualization #PieCharts #DataStorytelling #ExcelTips #Analytics

3

Today's Tip - Enabling Critical Decision-Making with Valuable Data Insights from Melissa Marketplace >>> https://lnkd.in/eTqa6cd4 Learn about the Melissa Marketplace, a rich data catalog comprised of exceptionally accurate data products for industry and business needs. Author: Hristo Hristov, MSc, MCSE #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #datacatalog #accuracy #decisionmaking #datacleansing #businessintelligence

1

Today's Tip - Enabling Critical Decision-Making with Valuable Data Insights from Melissa Marketplace >>> https://lnkd.in/eTqa6cd4 Learn about the Melissa Marketplace, a rich data catalog comprised of exceptionally accurate data products for industry and business needs. Author: Hristo Hristov, MSc, MCSE #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #datacatalog #accuracy #decisionmaking #datacleansing #businessintelligence

1

Ontologies are crucial for unlocking information. However, similar types have been created for different needs, reducing interoperability. Check out our blog, which looks at some of the automated approaches for large-volume ontology mapping. http://spkl.io/6041f6ktx #Ontology #OntologyMapping

4