Remove when-and-when-not-to-use-deep-learning
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When and When Not to Use Deep Learning

Dataiku

Deep learning is all the rage today, as major breakthroughs in the field of artificial neural networks in the past few years have driven companies across industries to implement deep learning solutions as part of their AI strategy. But is it always the right way to go?

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10 highest-paying IT skills for 2024

CIO Business Intelligence

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. As a result, AI skills are now among the most sought-after skills, even as companies retrench via layoffs.

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Generative AI – Chapter 1, Page 1

Rocket-Powered Data Science

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts).

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6 steps the manufacturer of Arm & Hammer and OxiClean took to harden OT cybersecurity

CIO Business Intelligence

It’s no longer a question of whether an attack will occur, but when, and the consequences of a successful attack can be dire. Ortiz and his team had deep cybersecurity experience, but for something as critical as OT cybersecurity, he wanted to make sure he had insight from specialists in the field.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Second, doing something new (especially something “big” and disruptive) must align with your business objectives – otherwise, you may be steering your business into deep uncharted waters that you haven’t the resources and talent to navigate. In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 289
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I Actually Chatted with ChatGPT

O'Reilly on Data

ChatGPT was released just over a year ago (at the end of November 2022), and countless people have already written about their experiences using it in all sorts of settings. (I I recently chatted with ChatGPT, and I want to use that experience to reflect on the usability of voice interfaces for AI tools based on Large Language Models.