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Why data quality drives AI success

CIO Business Intelligence

Organizations must prioritize strong data foundations to ensure that their AI systems are producing trustworthy, actionable insights. In Session 2 of our Analytics AI-ssentials webinar series , Zeba Hasan, Customer Engineer at Google Cloud, shared valuable insights on why data quality is key to unlocking the full potential of AI.

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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. The benefits of big data cannot be overstated.

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5 tips for better business value from gen AI

CIO Business Intelligence

Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. Successful selling has always been about volume and quality, says Jonathan Lister, COO of Vidyard. A second area is improving data quality and integrating systems for marketing departments, then tracking how these changes impact marketing metrics.

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Is your data strategy ready for gen AI? LOB leaders may disagree

CIO Business Intelligence

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’,

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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Wartons Navigating Gen AIs Early Year Report says 57% anticipate slower AI spending increases, an indicator that enterprises are still searching for ROI on their initial investment. For AI to deliver safe and reliable results, data teams must classify data properly before feeding it to those hungry LLMs.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back. report they have established a data culture 26.5% Artificial Intelligence, IT Leadership

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”. These key questions to ask when analyzing data can define your next strategy in developing your company. As Data Dan reminded us, “did the best” is too vague to be useful. Giving the most ROI?

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