Impact Intel

Heading to #UNGA #Climateweek next week! If you are in New York, sign up to join in for an engaging session on data impact https://lnkd.in/deFv6bqf

Ever wondered what fuels your favourite AI? 🤔 What have some of our favourite large language models (LLMs) like ChatGPT consumed to deliver almost instantaneous insights?   Wikipedia is listed as the 2nd most influential type of content to the ChatGPT training model, after books.    1. Books  2. Wikipedia  3. Scientific Articles and Research Papers  4. Websites and Online Articles  5. Forums and Social Media In the rapidly evolving space of gen-AI, it's easy to focus on results, and forget about the importance of maintaining quality data sources. Just as with corporate data, let's remember to maintain/improve the data sources even though there are great advances in tech. Worth considering that donation pop-up on wiki when fact-checking?? Data quality in - determines - Data quality out #DataQuality #GenerativeAI #TechAdvancement #Wikipedia #InputQuality #QualityOutput

What if your data is nowhere near perfect? The truth is... Imperfect data is often seen as a huge headache, but it is a surprisingly effective tool in motivating improvement.    With an opportunistic perspective, even imperfect data can be means to create an awareness across the company about the value of data quality.   Instead of seeing messy data as a setback or roadblock, use it as a conversation starter.   Being open and sharing may be the first step to improving data practices.    Give it a go, why not?   #DataQuality #DataGovernance #Collaboration #ContinuousImprovement #Leadership

Data is an asset. Its something that can produce enormous value for those who understand how to process and refine it. There are countless examples of society-shifting actions and wealth being created from the mere use of data. Imagine if we could harness data to do that much good for the world. Social impact initiatives produce extensive data on topics critical to people and planet. This data is intrepid data. Its usually coming from forgotten or ignored places the private sector and government have missed. Impact data has the greatest potential for positive good. But the impact sector lacks the tools or expertise to fully leverage this planet-critical data. So it sits dormant...on forgotten pcs of staff who left, on servers we set up for donors, on the apps we use to collect it. The data is dormant and waiting to do its job. Impact Intel exists to help you use this data. We are a collective of social impact leaders, data scientists, and analytics practitioners who understand the opportunities and challenges that live in impact data. We bring proven technologies from the private sector to help you change the world. The most impactful sector needs the most powerful tools. And we need them now.