As agencies begin experimenting with AI, many are seeing a common challenge- siloed and duplicated data. As you begin to think about incorporating AI, it's important to identify how to organize and prepare your data so it can provide the best value to your organization.
Piper Hausman’s Post
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Ahead of the Big Data LDN event, we wanted to share a little insight into being 'Data Ready' for AI. Just a nice easy read for the commute home and keen to hear your experiences. Happy Friday all! Please do comment and share. #DataIsTheNewOil #AIandData #BigDataAI #BigDataLDN #FidraAnalytics
📰 INSIGHT: Preparing YOUR company data for AI 2-3 min read As we head into the weekend, we are looking forward to our first Big Data LDN in just over a weeks time (18-19 September). Come and visit us! Y552 Ahead of that, we thought we'd share some of our insights on being 'Data Ready' for AI. Most of the AI 'Proof of Concepts' we have carried out recently have succeded or failed on the company data underpinning the use case. How do you ensure your data is ready to embrace and fully harness AI? https://lnkd.in/dPuCxTQz #DataDrivenAI #AIandData #DataScience #AIAnalytics #BigDataLDN #FidraAnalytics
Preparing YOUR organisation for AI - Fidra Analytics
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Data quality has been a hot topic in early 2024. One of the biggest reasons has been the importance of DataQuality for AI use cases. If bad data is supporting AI algorithms the outputs are going to be affected. Let’s show you how DQLabs can improve your data quality today. DM or each out at shane@dqlabs.ai #dataquality #AI #readiness https://lnkd.in/g69u5WGj
Starting your AI journey? Don't let bad data hold you back! High-quality data is the fuel for effective AI models. This post dives into the importance of data quality for AI success and offers 4 key steps to ensure your data is ready for it. Read now 👉 https://lnkd.in/gKGwMxMS #AI #dataquality #AIreadiness #DQLabs #DataQuality #DataObservability
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https://www.dqlabs.ai
