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Leveraging AMPs for machine learning

CIO

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. Businesses no longer need to pour time and money into building everything in-house, companies can move fast in today’s hyper-competitive business landscape.

Learning 221
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Competitive Advertising Examples: 5 Must-See Commercials

Crayon

Competitive advertising is a well-established practice in our modern media landscape. As the intensity of competition rises, so, too, does the difficulty of earning and maintaining the attention of your prospects. Today, we’ll walk through five examples of commercials that were created by brands in competitive markets.

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Competition is stiff, but retailers know what it takes to compete

CIO

Changing consumer behavior and expectations, competition from major e-retailers, evolving cybersecurity challenges, inflationary pressures, sustainability and environmental concerns, and the pressure to take advantage of AI are all very real concerns for retailers today. Contact us today to learn more.

Retail 243
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How to Effectively Analyze Competitive Intelligence: 5 Questions with Affinity’s Carolyn Klinger

Crayon

In our first installment of the Crayon Customer Corner, we sat down with Carolyn Klinger, Director of Market and Competitive Intelligence at Affinity. Carolyn recently purchased Crayon for the second time , but that’s not the primary reason we wanted to chat with her.

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7 Ways to Supercharge Your ABM Strategy with Real-Time Intent

Learn how capturing buyers’ search behavior in real time can shorten your sales cycle. In this guide, we’ll walk through how streaming real-time intent data can supercharge your ABM strategy, including: How streaming real-time intent works The benefits of real-time intent in your ABM strategy How you can box out the competition

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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8 Rival Companies We Can All Learn From

Crayon

Time and time again, companies’ yearning desire to be the best gives way to fierce rivalries.

Learning 659
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10 Ways to Leverage Buyer Signals and Drive Revenue

In today’s ultra-competitive markets, it’s no longer enough to wait for buyers to show obvious signs of interest. In this eBook from ZoomInfo & Sell Better, learn 10 actionable ways to use these buyer signals to transform your sales strategy and close deals faster.

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7 Strategies to Gather (and Actually Use) Competitive Intel from Employees

Leaders in competitive intel know that the employees who interact with customers and prospects every day hold valuable competitive insights that could help win sales. In this eBook, we outline 7 strategies to make it easier to build and scale an employee sharing program that will drive competitive advantage.

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

Dig into our data-backed guide to learn: Proven methods for warming up cold calls Coaching points for responding to price pressure early and often Front-line examples of how to win the battle for customer retention

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world. Our esteemed speakers will discuss the emerging trends shaping the future of product management and business intelligence.