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3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation. Luckily, many are expanding budgets to do so. “94%

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Intelligent Operations: The engine behind Digital Transformation

bridgei2i

Intelligent Operations: The engine behind Digital Transformation. 2: Machine Learning – Once we can make sense of this data, in all its myriad forms, and read it, we need to understand patterns and anomalies from this data. Machine learning algorithms help us assess the right patterns in step 2.

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Understanding Structured and Unstructured Data

Sisense

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] I will finish with three quotes.

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Rocket Mortgage lays foundation for generative AI success

CIO Business Intelligence

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. This will push data into repositories best ingested by AI models. The rest are on premises.

Data Lake 123
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Expion Health revamps its RFP process with AI

CIO Business Intelligence

The IT team plans to further enhance the application using the XGBoost machine learning software library for forecasting medication use in covered populations. Insurance companies can use AI to summarize long medical charts, to classify documents, and to find patterns in unstructured data, he says.

IT 100
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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.