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Learning Analytics: Predictive & Prescriptive Complexity

Watershed

The highest complexity of learning analytics is predictive and prescriptive analytics. This means using data to either predict what might happen, or to prescribe learning activities. A coach can then use this information to prescribe learning activities to address those issues. Minding the Gap.

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What is Voice Analytics Software?

BigTinCan

They listen for words and phrases, identifying patterns, and are often great for identifying opportunities for coaching your teammates. This is where voice analytics software comes into the mix. In this brief article, I’ll share the following: What is voice analytics software? What is voice analytics software?

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How to Design a People Strategy Using HR Analytics

Inquisiq

Unleash the Data with HR Analytics If you can’t measure it, you can’t improve it. This is where HR analytics has the power to transform an old school HR strategy into a future fit people strategy. For this purpose, elite HR analytics software is a welcome addition to your team, combining everything locked in your existing systems.

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Coaching Apps: What’s Available Now?

CLO Magazine

The AI coaching niche is still a small part of the HR tech world, but there are a number of promising young companies on the scene. This AI-powered coaching app features a self-learning bot that uses anonymous employee surveys targeting specific leadership attributes to deliver custom tips and learning content directly to managers.

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12 Sales Coaching Tools for Onboarding and Upskilling Sales Reps

BigTinCan

Most discussions about sales coaching tools involve listing a bunch of options as though all sales coaching tools are the same thing. Broadly speaking, modern sales coaching tools fit into one of two categories: Direct Feedback: Provides performance feedback based on practice or live sales calls. They’re not. Table of Contents.

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DR. STELLA LEE – CRYSTAL BALLING WITH LEARNNOVATORS

Learnnovators

She has conducted post-doctoral research on learning analytics with iCore Research Lab at Athabasca University. Broadly speaking, the most commonly used AI applications for learning are: Coaching and knowledge sharing – typically in the form of smart chatbots. What is the trend you see, and what needs to change (if any)?

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Mentoring in the AI World

Chronus

Machine learning algorithms analyze vast datasets to provide predictive insights, aiding in forecasting trends, customer behaviors and market dynamics. AI-driven analytics contribute to data-driven decision-making, offering organizations a competitive edge by extracting actionable insights.