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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 290
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

What attributes of your organization’s strategies can you attribute to successful outcomes? Do you converse with your employees about decisions that might be the converse of what they would expect? What you have just experienced is a plethora of heteronyms. This is accomplished through tags, annotations, and metadata (TAM).

Strategy 267
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How Far We Can Go with GenAI as an Information Extraction Tool

Ontotext

Introduction In the real world, obtaining high-quality annotated data remains a challenge. Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. Your goal is to extract entities with types: Person, Organisation, Location.

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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Big Data Hub

We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

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Evaluating Ray: Distributed Python for Massive Scalability

Domino Data Lab

This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations. and you’re wondering what it is, this post is for you. this post on the Ray project blog ?.

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The Art and Science of FP&A Storytelling

Timo Elliott

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. You can find a blog post version of my commentary below, and a draft video of my section: What’s new with analytics and storytelling for finance teams? What typically goes wrong?

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The Rise of Unstructured Data

Cloudera

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.