Remove Modeling Remove Optimization Remove Recreation/Entertainment
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Unbundling the Graph in GraphRAG

O'Reilly on Data

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact. Run each chunk of text through an embedding model to compute a vector for it.

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Goodbye digital transformation, hello AI-first business transformation

CIO Business Intelligence

Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. This only fortified traditional models instead of breaking down the walls that separate people and work inside our organizations. We optimized. We automated.

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Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms. Partner solutions to boost functionality, adoption.

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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

By 2026, hyperscalers will have spent more on AI-optimized servers than they will have spent on any other server until then, Lovelock predicts. In some cases, the AI add-ons will be subscription models, like Microsoft Copilot, and sometimes, they will be free, like Salesforce Einstein, he says.

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The Role of Analytics and BI in the Entertainment Industry

Smart Data Collective

What Businesses Belong to the Entertainment Industry? When one thinks of the entertainment industry, the things that come to mind first are movies, theaters, concert venues, and sporting events. However, this year’s entertainment looks different. How Does the Entertainment Industry Benefit from BI and Analytics?

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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Thats one of the catches of proprietary commercial models, he says. Its possible to opt-out, but there are caveats.

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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

Amazon Redshift , optimized for complex queries, provides high-performance columnar storage and massively parallel processing (MPP) architecture, supporting large-scale data processing and advanced SQL capabilities. In this post, we use dbt for data modeling on both Amazon Athena and Amazon Redshift.