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6 Reasons to Get Excited About MRM 2.0: Percolate & Allocadia

Allocadia

MPM + CMP = MRM 2.0. But, as both a marketing leader and former research nerd, I am quite excited about today’s news. We just announced a new partnership with Content Marketing Platform category leader, Percolate (see Gartner’s recent research naming Percolate a leader in the space). Aprimo, Orbis, and SAS.)

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6 Reasons to Get Excited About MRM 2.0: Percolate & Allocadia

Allocadia

MPM + CMP = MRM 2.0. But, as both a marketing leader and former research nerd, I am quite excited about today’s news. We just announced a new partnership with Content Marketing Platform category leader, Percolate (see Gartner’s recent research naming Percolate a leader in the space ). Aprimo, Orbis, and SAS.)

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Oxford University Press former CMO weighs in on martech challenges, trends, and predictions

ClickZ

30-second summary: One of the biggest changes in marketing over the past 15-years is the abundance of data available. This shifted the focus from marketing creative to campaign attribution and performance. The CDP, which merges CRM data with DMP data from platforms like Salesforce is one of the more interesting trends in martech.

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Learn Cybersecurity Skills on Trailhead

Salesforce Marketing Cloud

We’re here to help you learn cybersecurity skills on Trailhead, Salesforce’s free online learning platform. The rise of AI has only made the need for cybersecurity more pressing. Small oversights in these processes can have significant implications. Cybersecurity skills are in-demand The U.S. What is cybersecurity?

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AI Renaissance: Reshaping the Future of Technology

Valasys

From the invention of the printing press during the Renaissance to the industrial revolution’s mechanization, these transformative moments have altered how we live, work, and interact. Innovations such as the printing press and advancements in art, architecture, and science catalyzed a renaissance in human achievement.

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AI Statistics 2024: Your Cheat Sheet to Understanding the Future

Outgrow

Here’s a glimpse into its journey: The Early Days (1950s-1980s) With limited capabilities, AI focused on symbolic reasoning, rule-based systems, and simple problem-solving with limited data and applications. Advancements in data storage and processing led to a massive increase in available data, fueling AI’s learning capabilities.

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Hitting the Forecasting Bullseye with Machine Learning

InsightSquared

This is a systemic issue, but one that can be righted. It’s about knowing which buttons to press to push a deal forward, but also knowing when to deprioritize a deal and pursue another. Time and resource management is key to accurate forecasting. Unfortunately, forecasting inaccuracy is a tale as old as time.