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Salesforce’s Marketing GPT and Commerce GPT to help build personalized services

CIO Business Intelligence

Salesforce’s proprietary Einstein GPT and Data Cloud underpin the two new generative AI offerings. With Marketing GPT, marketers will be able to automatically generate personalized emails, smarter audience segments, and marketing journeys,” the company said in a blog post.

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How to achieve high-impact personalization at scale with managed marketing services

IBM Big Data Hub

For big brands across all industries, today’s marketing campaigns are customized for specific audiences. Leveraging MMS for personalization at scale Personalization builds brand loyalty by creating customer experiences (CXs) specifically designed for each audience. Did that action turn into a lead? What time did this occur?

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Data Lineage Through the Decades: Where It’s Going (And Where It’s Been)

Alation

That was my earliest taste of data lineage. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company. It depends!

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IBM watsonx.ai: Open source, pre-trained foundation models make AI and automation easier than ever before

IBM Big Data Hub

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. You need to collect, curate, and annotate data for any specific task you want to perform. This is usually text, but it can also be code, IT events, time series, geospatial data, or even molecules.

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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

Risk 69
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Self-Service BI: A Case of Trust Working Both Ways?

Alation

In the breakneck world of data, which I have been privy to since the mid 1990s, business intelligence remains one of the most enduring terms. So I was surprised to learn from my colleague Myles Suer’s blog piece about Self-Service vs. Traditional BI that it was first referenced in 1865. The Evolution of Business Intelligence.

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A new era of SQL-development, fueled by a modern data warehouse

Cloudera

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.