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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

This article reflects some of what Ive learned. The hype around large language models (LLMs) is undeniable. But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Try our professional BI and analytics software for 14 days free! What Do The Experts Say?

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Python for Business: Optimize Pre-Processing Data for Decision-Making

Smart Data Collective

In this article, we will discuss how Python runs data preprocessing with its exhaustive machine learning libraries and influences business decision-making. Besides, Python allows creating data models, systematizing data sets, and developing web services for proficient data processing. Data Preprocessing is a Requirement.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Let’s look at our first use case.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Note that there’s not enough room in an article to cover these presentations adequately so I’ll highlight the keynotes plus a few of my favorites. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider.

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Using IBM Watson to Answer Two Important Questions about your Customers

Business Over Broadway

IBM Watson Studio , an end-to-end analytics solution to help you gain insights from your data, was designed for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. In this step we need to first import the data asset to the Modeler Flow.

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Disrupt and Innovate in a Data-Driven World

Cloudera

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services.