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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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Generative AI copilots are your productivity rocket boosters

CIO

As the end user constructing the prompts, you’re going to create a content roadmap for a new mobile application. Each piece of content explains how the product works and why the company is building it. But genAI is a force multiplier for content, so let’s roll with a deadline of one hour to complete all five tasks.

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Generative AI is earning good grades in education

CIO

Generative AI can also help teachers craft educational content. Smarter learning Students learn in various ways and at different speeds across different topics. Generative AI can help analyze where students are at and customize educational content to their specific needs and pace.

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Inferencing holds the clues to AI puzzles

CIO

A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images. Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Artificial Intelligence

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The Definitive Guide to Dashboard Design

Download the Definitive Guide to learn why dashboard design matters, and how to do it well.

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CarMax drives business value with GPT-3.5

CIO

We would have had to have hired tens or maybe hundreds of content writers and taken years to generate this content,” says Mohammad. “We Following that, a small dataset was sent for editing and fine-tuning and the content was pumped into the DaVinci model for mass publishing and consumer consumption.

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11 most in-demand gen AI jobs companies are hiring for

CIO

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

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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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7 Winning Lead Generation Strategies to Drive Growth

In this whitepaper, you’ll see real-world examples from leading B2B businesses and learn new ways of using data to: Improve lead quality. Create content and messaging that compels decision-makers to act. Identify the stakeholders who are in-market for your products/services. Target and reach your highest-value prospects.

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Staying Relevant in Sales as AI and Technology Continue to Take Over

Speaker: John Barrows, CEO, JBarrows Sales Training

If we as sales professionals are not adding any context to the content then we bring no additional value to what marketing and technology are already doing. You’ll learn: The current sales process and why it’s broken. One way we can keep our relevance is by continuing to look for ways we can add context throughout the sales process.