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A look into the lifecycle of software-defined infrastructure with NTT DATA’s Technology Solutions

CIO Business Intelligence

Technology Solutions’ dominant model revolved around hardware products. While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models. Outdated hardware also poses security risks.

Software 119
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What is data architecture? A framework to manage data

CIO Business Intelligence

On the other hand, DMBOK 2 defines data modeling as, the process of discovering, analyzing, representing, and communicating data requirements in a precise form called the data model. Data modeling takes a more focused view of specific systems or business cases. Data integrity. Seamless data integration.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

The answer can be found in the theory of economic rents, and in particular, in the kinds of rents that are collected by companies during different stages of the technology business cycle. Then the cycle begins again with a new class of competitors, who are forced to explore new, disruptive technologies that reset the entire market.

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Accelerating Drug Discovery and Development with DataOps

DataKitchen

A typical R&D organization has many independent teams, and each team chooses a different technology platform. – Kurt Zimmer, AstraZeneca, Head of Data Engineering inside Data Enablement (CDO Summit 2021). Figure 1: A pharmaceutical company tests 50,000 compounds just to find one that reaches the market.

Testing 246
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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

To achieve this, we recommend specifying a run configuration when starting an upgrade analysis as follows: Using non-production developer accounts and selecting sample mock datasets that represent your production data but are smaller in size for validation with Spark Upgrades. 2X workers and auto scaling enabled for validation.

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How AI-powered agriculture helps farmers grapple with climate change and food security

CIO Business Intelligence

The company’s mission is to provide farmers with real-time insights derived from plant data, enabling them to optimize water usage, improve crop yields, and adapt to changing climatic conditions. SupPlant recently adopted advanced vector search technology within Astra DB to enhance our data retrieval capabilities.

IoT 126