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Generative AI is pushing unstructured data to center stage

CIO Business Intelligence

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration. AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions.

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Transforming Big Data into Actionable Intelligence

Sisense

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.

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Boost Your Business Performance with Artificial Intelligence [AI].

Data Insight

Indeed, AI is adding significant value in a range of different industries: Banking & finance: Fraud detection, fast and accurate credit scoring, automated decisioning and data entry. Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. AI is undoubtedly one of the most prominent 2020 buzzwords to look out for.

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

Data warehouses are designed for questions you already know you want to ask about your data, again and again. Data lakes, on the other hand, enable you to store structured and unstructured data to explore with new questions that you haven’t asked before. Bonus: Azure Stream Analytics and Azure Time Series Insights.

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