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What to Expect in 2023: AI and Graph Technology

2023 will bring exciting advances in AI and graph technology. One of the most compelling innovations will be the ability for quantum programs to be turned into graphs and vice versa. Natural language understanding will become part of AI models. The adoption of standards-based semantic layers will spike as they enable data selection through business terms. Graph […]

The Hype Around Semantic Layers: How Important Are Standards?

There are several reasons why the notion of semantic layers has reached the forefront of today’s data management conversations. The analyst community is championing the data fabric tenet. The data mesh and data lake house architectures are gaining traction. Data lakes are widely deployed. Even architectural-agnostic business intelligence tooling seeks to harmonize data across sources. Each […]

2022 and Beyond: Quantum AI, Graph Neural Networks, and Personal Data Pods

The new year will bring us many exciting developments in data-enabling technologies including the merging of artificial intelligence with quantum computing and graph neural networks, which will power extremely complex, next-generation algorithms. Knowledge graphs will become lego-like with the ability to be plugged into diverse applications. With mounting concern over social media sites using personal data, expect […]

Solving Knowledge Graph Data Prep with Standards

Click to learn more about author Dr. Jans Aasman. There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data […]

Preventing Nation-Wide Security Breaches with Semantic Standards

Click to learn more about author Dr. Jans Aasman. Last year’s Equifax security breach provides a valuable lesson for organizations seeking to protect digital assets and is worth examining closer for three reasons. With intruders accessing personally identifiable information such as social security and driver’s license numbers for over 100 million Americans across the country, it’s […]

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