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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

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How to get immediate value from your data catalog

Alation

Most organisations are seeking to be data-driven because they believe in the value of data to inform key decisions at all levels, making data management absolutely critical. Business leaders already know about the importance of building a data culture in their organisation, and many have long since embarked on that journey.

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Taming the Data Octopus: How Avista Transforms Data into Value with Alation

Alation

Nolan Steiner is a scuba diver, octopus lover, and data science team lead at Avista, an energy company involved in the production, transmission, and distribution of energy in eastern Washington, northern Idaho, and parts of Oregon. Below, Nolan shares how Avista uses Alation to transform data into value. Of course, data is a beast.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

The journey, which started more than two years ago, has been long and bumpy. But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

The journey, which started more than two years ago, has been long and bumpy. But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post.

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Unlock data across organizational boundaries using Amazon DataZone – now generally available 

AWS Big Data

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

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Data platform trinity: Competitive or complementary?

IBM Big Data Hub

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. It is too expensive.