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A New AI-powered Context Engine Allows B2B Companies See into Relevance of Buyers’ Content Consumption w/ Jim Manley

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When? This feed was archived on November 23, 2019 01:13 (4+ y ago). Last successful fetch was on August 22, 2019 01:57 (4+ y ago)

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Manage episode 222096474 series 2426946
Content provided by Mariam Safi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mariam Safi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Knowing what content your buyers are consuming is an important first step in any ABM strategy. But knowing the content as well as the context of the information, is where B2B companies can gain true insight.

It’s called a context engine.

It sounds AI and futuristic, because it’s both.

And we found an expert to tell us all about it: Joining us on this episode of AI for B2B Sales and Marketing is our very own Jim Manley.

Jim is the Director of Product Management here at MRP, and he’s also what he calls a self-taught data scientist. He spent several years in product management at Fortune 50 companies, such as Comcast and Amazon, and has an MBA as well as a computer science degree.

He came on the show to tell us all about how he helped develop this new feature, a “context engine.”

He explores how B2B companies with ABM strategies are leveraging AI to determine what content their buyers are consuming. But, the next step of AI and machine learning includes not only the content itself, but the context and manner surrounding the information. The most fascinating thing about this context engine, is it’s already here.

Listen in to hear Jim unpack this exciting new piece of AI and machine learning.

  continue reading

21 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on November 23, 2019 01:13 (4+ y ago). Last successful fetch was on August 22, 2019 01:57 (4+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 222096474 series 2426946
Content provided by Mariam Safi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mariam Safi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Knowing what content your buyers are consuming is an important first step in any ABM strategy. But knowing the content as well as the context of the information, is where B2B companies can gain true insight.

It’s called a context engine.

It sounds AI and futuristic, because it’s both.

And we found an expert to tell us all about it: Joining us on this episode of AI for B2B Sales and Marketing is our very own Jim Manley.

Jim is the Director of Product Management here at MRP, and he’s also what he calls a self-taught data scientist. He spent several years in product management at Fortune 50 companies, such as Comcast and Amazon, and has an MBA as well as a computer science degree.

He came on the show to tell us all about how he helped develop this new feature, a “context engine.”

He explores how B2B companies with ABM strategies are leveraging AI to determine what content their buyers are consuming. But, the next step of AI and machine learning includes not only the content itself, but the context and manner surrounding the information. The most fascinating thing about this context engine, is it’s already here.

Listen in to hear Jim unpack this exciting new piece of AI and machine learning.

  continue reading

21 episodes

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