"AI in MarketingOps: Building Smarter Account Hierarchies"

🚀 Team learning thrives at RightData! In our latest Wiki Wednesday, Slashitha and Kishore presented Khroma AI - a creative AI tool that learns your color preferences and generates limitless palettes to explore, search, and save. 🎨✨ Ready to see AI’s impact on real business outcomes? Find out how data engineers and business leaders create measurable value. Check us out and follow RightData for future updates! 👉 https://sl1nk.com/D9XEx #WikiWednesday #AITools #Innovation #TeamLearning #KnowledgeSharing #RightData #FutureOfWork

One of the biggest challenges in AI-driven projects is that data isn’t always ready to deliver the insights organisations need. Inconsistent datasets and limited predictive capabilities often lead to a lack of confidence in decision-making. At Sprintechies, our team has been working to address this by combining advanced AI/ML frameworks with robust data engineering practices. From cleaning and modelling to creating clear visualisations, the focus has been building solutions that improve system efficiency and unlock more accurate, actionable insights. The lesson? AI isn’t just about powerful algorithms—it’s about ensuring the foundations of data are strong enough to support more intelligent business decisions. #AI #MachineLearning #DataDriven #Innovation #AIOps

𝗬𝗼𝘂 𝗰𝗮𝗻’𝘁 𝗿𝘂𝗻 𝗮 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗔𝗜, 𝘂𝗻𝗹𝗲𝘀𝘀 𝘆𝗼𝘂 𝗽𝗹𝗮𝗻 𝘁𝗼 𝗿𝘂𝗻 𝗶𝘁 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱. From billboards to bus stops, San Francisco glowed neon green all summer. Where 95% of enterprise AI projects don’t make it past pilot, PromptQL is helping the other 5% succeed. The secret: accuracy at scale. This summer was only the beginning. We’re setting the standard for AI analysts that actually work — at scale — and finally break through the age-old analytics insights bottleneck for fast-moving businesses. Accurate AI starts here 👉🏼 promptql.io #AccurateAI #ReliableAI #AccurateAIisHere #PromptQL #CustomAI #AIAnalystAtScale

In 2025, the real challenge is turning data into wisdom. Most organisations still struggle with fragmented data, static dashboards, and insights that don’t scale. That’s where Generative AI comes in. By reimagining the classic Data → Information → Knowledge → Wisdom (DIKW) pyramid, Gen AI helps businesses: ✅ Clean and structure messy data ✅ Generate real-time, contextual insights ✅ Scale knowledge across teams and functions ✅ Automate decisions with foresight and precision Swipe to see how Gen AI is redefining intelligence at scale. #GenerativeAI #DigitalTransformation #BusinessIntelligence #AIinBusiness #FutureOfWork #DataToWisdom Ansar Kanhiroli ⚡️Nishad Roshan Anoop Pius Bivek Renuji Sumithra Kokkarambath Vannadil Gayathri Murali Prasuna potteti Tom Mitchell Ricardo Róis Azra Gafoor Ajai Baburaj

What Every Data Leader Should Know About Third-Party Data for AI and Analytics: AI has raised the stakes for data quality, coverage, and context. Organizations are discovering that first-party data alone is often insufficient ...

AI is already radically changing how data is bought, sold, and used. But hey, if you're a data provider, you already knew that. The real question is: what the heck are you gonna do about it? More specifically: how do you prevent your data business from being utterly crushed by this one-in-a-lifetime platform shift? There are three things that are absolutely non-negotiable: - Building an interoperable semantic layer for your data products. - Designing product explicitly around the emergent text-to-SQL paradigms. - Investing heavily in being visible within the leading AI ecosystems.

Behavioural Data 🤝 AI Agents Everyone’s talking about AI agents. But here’s the part that often gets overlooked: AI is only as good as the data you feed it. If your analytics depend on manual tagging, you’re only capturing a fraction of user behaviour. Every site or app change creates blind spots. And blind spots = broken personalisation. That’s why I find FullStory interesting. It automatically captures and categorises every interaction - rage clicks, dead clicks, hesitations, zooms - without the heavy lifting. Which means when AI steps in, it’s working with the complete picture. For Just Spices, this meant understanding real-time intent and delivering personalisation that feels genuinely individual - protecting margins and driving more revenue. That’s the difference complete data makes. 👇 FullStory’s post here:

AI offers endless personalization opportunities — but success depends on accurate, well-structured data. Here's how to get it right. https://ow.ly/NfJY50WPzza

🚀 Want to scale AI like a pro? Start with your data. From fragmented pipelines to real-time RAG inference, AI success hinges on infrastructure built for intelligence — not just speed. Learn how global leaders are turning data chaos into competitive advantage with DDN’s Data Intelligence Platform. Read the full blog: https://lnkd.in/gUKrZUdp

🚀 Want to scale AI like a pro? Start with your data. From fragmented pipelines to real-time RAG inference, AI success hinges on infrastructure built for intelligence — not just speed. Learn how global leaders are turning data chaos into competitive advantage with DDN’s Data Intelligence Platform. Read the full blog: https://lnkd.in/gUKrZUdp