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How to Infuse AI into Experiential Learning Activities

Leapfrogging

In the realm of experiential learning, artificial intelligence (AI) serves as a powerful tool for enhancing the training experience. AI technology can analyze large amounts of data to personalize learning experiences, providing insights and feedback that help individuals grow and perform better.

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How the NEA Is Helping Students Learn Through Interactive Play

Business and Tech

One of the things that we’re really working on is how we engage students in the classroom and what the soft skills are that they’re learning through esports.”. The keyboard allowed that girl to learn in an engaged and interactive way that suited her interests. They were way ahead of us in that stream of things.”. Bajorek said. “It’s

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Facilitating Collaboration Across Ecosystems with AI

Leapfrogging

This allows you to make more informed decisions and accelerate the innovation cycle. Learn more in our article on ai for concept testing. Benefit Description Enhanced Decision-Making AI provides data-driven insights that help you make more informed decisions. For more information, check out our article on ai in design thinking.

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Benchmarking Template

Leapfrogging

Benchmarking is not about imitationits about learning from others to accelerate progress, improve competitiveness, and inform strategic decision-making. Benchmarking in Innovation Benchmarking plays a critical role in real-world innovation projects by providing data-driven insights that inform both strategy and execution.

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5 Ways You Can Win Faster with Gen AI in Sales

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. This frees up valuable time for sellers to focus more on building relationships and closing deals.

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Discovery Driven Planning Template

Leapfrogging

Unlike traditional planning methods that rely on fixed forecasts and clearly defined outcomes, DDP embraces uncertainty by emphasizing learning, testing, and adjusting. Make go/no-go decisions based on validated learning. Design Learning Milestones Set checkpoints where you will test assumptions and evaluate progress.

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Enhancing Consumer Insights with Artificial Intelligence

Leapfrogging

AI technologies, such as machine learning and natural language processing, enable you to analyze vast amounts of data quickly and accurately, uncovering patterns and insights that would be impossible to detect manually. Learn more about this in our article on personalization and targeted marketing strategies.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

Businesses are realizing that it isn’t just about the volume of data they have available; it’s about the accuracy of information. You'll learn about: The true cost of bad (and good) data. The best ways to learn how to achieve clean, consistent data. How data impacts your organization as a whole.

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Add Value with a Dashboard Refresh: What You Need to Know

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

You'll learn: How to maximize emotional and psychological impact with cosmetic refreshes. How to determine when an information architecture refresh may be necessary. You'll leave with an understanding of how to figure out the best next steps specifically for you and your application.

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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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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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How ZoomInfo Enhances Your Database Management Strategy

It involves finding a data management provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.

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Fail Well, Pivot Fast: Product Experimentation for Continuous Discovery

Speaker: William Haas Evans - Principal Consultant, Head of Product Strategy & Design Practice, Kuroshio Consulting

The purpose and value of experimentation (from a scientific and product perspective) is to produce new information. It’s our way of intentionally managing through uncertainty — since, as Claude Shannon said, “the only resolution to uncertainty is information.” Good experiments generate insights (information).

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Leading Advertising and Analytics Company Outperforms With a Graph Database

Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. Download the case study to learn more! The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before.