Insider.’s Post

You can't have a killer AI strategy without a solid #data strategy. Businesses in the US alone lose $3.1 trillion annually due to poor data quality. Operational inefficiencies, missed opportunities, and a lack of understanding of customers are all caused by bad data. 🤔 Imagine trying to use #GenerativeAI to create a segment of offline customers, but your data labels for "Offline_Purchases" are inconsistent and numerous. That mismatch means your data foundation is flawed, and could lead to an inaccurate and less valuable segment creation. So, how do you get your data AI-ready? Here are the top three areas where you should focus your attention to build a strong data foundation that will ensure your #AI engine generates the best possible results 👉 https://bit.ly/4bAEpGb 

"All AI tools come with a major dependency and that is the data they were trained on. If your company's foundational data lacks quality, then you cannot expect your analytics AI tool to find gems of business intelligence hidden away in your data. Its recommendations will always be as poor as the data it was exposed to." - Mihai Milea, Digital Strategy Manager and Tealium SME at Indegene Learn more about the advertising trends of 2024 in our latest publication ⬇️ https://hubs.la/Q02k4BrB0 #Advertising #MarketingTrends #AdvertisingTrends #MarketingAI #AI #MarketingData #MarketingAnalytics #AdTech #MarTech #MarketingStrategy

#AI is a big story for most businesses. It will need huge amounts of data access. What's that going to #cost you? When you have more data to compare modelling, you will be able to get better insights. This is where accessing large data sets is important. If your access to data is expensive, you'll need a business case to use it and it will slow down your outcomes or stop it altogether. If you're talking AI, you should be talking about making your #data more #accessible.

Big data and AI, a match made in tech heaven, right? But before you dive headfirst into this powerful combo, there are some gnarly pitfalls lurking beneath the surface. 𝐃𝐨𝐧'𝐭 𝐰𝐨𝐫𝐫𝐲, 𝐰𝐞'𝐯𝐞 𝐠𝐨𝐭 𝐲𝐨𝐮𝐫 𝐛𝐚𝐜𝐤! 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝟑 𝐜𝐨𝐦𝐦𝐨𝐧 𝐭𝐫𝐚𝐩𝐬 𝐭𝐨 𝐚𝐯𝐨𝐢𝐝: ☠️ 𝐃𝐚𝐭𝐚 𝐃𝐞𝐥𝐮𝐬𝐢𝐨𝐧: Don't assume all data is good data. Garbage in, garbage out, as they say. Ensure your data is clean, relevant, and representative of your target audience. Think quality, not just quantity! 𝐁𝐥𝐚𝐜𝐤 𝐁𝐨𝐱 𝐁𝐥𝐮𝐞𝐬: Don't let your AI models become impenetrable mysteries. Choose explainable AI tools that reveal what's going on under the hood. Transparency builds trust and helps you optimize your models. 𝐀𝐢𝐦𝐥𝐞𝐬𝐬 𝐀𝐥𝐛𝐚𝐭𝐫𝐨𝐬𝐬: Don't get lost in the sea of possibilities! Clearly define your goals before unleashing your AI. What problem are you trying to solve? How will you measure success? Having a clear target keeps your AI focused and effective. So, navigate the big data and AI landscape with confidence! Remember, it's all about asking the right questions, feeding your models the right data, and keeping your goals in sight. #AI #BigData #DataScience #AvoidThePitfalls #TechTips #StayAheadoftheCurve

Q: For novel concept tests...How can AI create a consumer response when there is no historical data as a basis? A: "Because, you're not testing with people. There's a tremendous amount of information out there on consumer responses – what people like, what they don't like...some of it's IP, the way that we've been able to [enable you to transact on this data]. We create individual respondents as an amalgamation of that process so that we have answers for a sample size of 50 or 100 'people'." Introducing Doug Guion, Chief Growth Officer at Yabble. With 25+ years in market research and software business growth, Doug is set to share his unparalleled insights on synthetic data and answer your burning questions at our next webinar. 🔍 Are you asking the right questions about synthetic data? With Kathryn Topp & Doug Guion 28 Feb // 12:00pm PST & 29 Feb // 8:00am PST Get ready for a transformational session, and have your synthetic data questions answered! >> https://hubs.la/Q02l6-v80 #DataRevolution #ExpertInsights #LeadersInAI #Innovation #Webinar #marketresearch #syntheticdata #ai #generativeai

The REAL business value is in YOUR DATA, AI is simply a[nother] tool to realise that value I’ve delivered "AI" projects that have a 10x return on investment, other projects that have saved £1m in their first year. The thing they have in common… The real value was in the data Getting the data, cleansing the data, providing consistent views over the data, and enabling the business to access and analyse it easily all had significant value “AI” was simply one of the tools that were also provided. #businessstrategy #ai #genai #businessvalue #strategy #datastrategy #data

Artificial intelligence without the right data strategy is just...artificial! The AI genie is out of the bottle and will transform businesses in ways we cannot imagine (yet). But we can affirm data to be the primary determinant of success for enterprises in the coming years as artificial intelligence transforms business workflows. Data and AI are interrelated, and just like AI is only as good as the underlying data on which it is based, data is only as good as the models that created it. Having a robust data strategy is crucial to an AI future. More insights here: https://hubs.la/Q02j_3n-0 #artificialintelligence #data&AI #datastratergy

As organizations embarked on their digital transformation journeys over the past decade, they began to realize the power and competitive edge provided by data analytics. It transformed the landscape of various industries. But we've now reached another turning point. Traditional analytics are no longer enough. AI is changing the game once again, and organizations that intend to stay at the top of their sector will need to adapt again. Doing so will require another significant technology infrastructure transition and training your workforce. It will be challenging, but the costs of not making the move are too costly to ignore. #Data #DataAnalytics #AI #DigitalTransformation https://lnkd.in/eMef4fKY

Here at Querri, we're working hard to make working with complex data as enjoyable and easy as possible! 📣 We have some great new feature updates to share. Our data flow panel, now conveniently collapsible, and the updated conversation panel, designed for smoother interactions, are here to enhance your data analysis experience. We also added a new “explain” feature, which is kind of a big deal. When working with #AI, you don't want a black box. Clicking "explain" will tell you exactly what steps our AI took to give you the answer it gave. 🤖 With Querri you don't just have some basic chat box, but a powerful #LLM that uses #AI to help you get the answers and results you need to make informed decisions and gain insight. 📑 We also added more functionality to our tabs. Now you can work across any of your open tabs, allowing complex data analysis and joins while still having control over exactly what Querri works on and how. 🆓 Check out our #FreeTrial to discover how quickly you can clean, combine & analyze your #data: https://hubs.ly/Q02w-cFp0 #LargeLanguageModels #AI #WorkingwithData #DataMadeAccessible