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Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Armed with contextualdata, agentic AI can surface insights, trends, or anomalies more protectively, helping direct business decisions.
but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Adapted from the book Effective Data Science Infrastructure. Let’s now take a tour of the various layers, to begin to map the territory. Along the way, we’ll provide illustrative examples.
By feeding enterprise data into GenAI models, businesses can create highly contextual and relevant outputs. For instance, a manufacturing company can use GenAI to analyze sensor data, maintenance logs, production records and reference operational documentation to predict potential equipment failures and optimize maintenance schedules.
The erwin Data Intelligence (DI) Suite is the heart of the erwin EDGE platform for creating an “enterprise data governance experience.” erwin Data Catalog automates enterprise metadata management, data mapping, referencedata management, code generation, data lineage and impact analysis.
After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.
Fast forward to today and curiosity cabinets have long been replaced by galleries, libraries, archives and museums (the set of institutions often referred to as GLAM). From Wunderkammers to Digital Collections.
Alignment AI alignment refers to a set of values that models are trained to uphold, such as safety or courtesy. “Agents and agentic AI is obviously an area of enormous investment for VCs and startups,” says Gartner analyst Arun Chandrasekaran. And we’ll perhaps see more agent frameworks evolve and mature in 2025.”
Introducing generative AI-powered data descriptions With AI-generated descriptions in Amazon DataZone, data consumers have these recommended descriptions to identify data tables and columns for analysis, which enhances data discoverability and cuts down on back-and-forth communications with data producers.
It also adds flexibility in accommodating new kinds of data, including metadata about existing data points that lets users infer new relationships and other facts about the data in the graph. Linking the data to related data in other collections and adding other data to this collection.
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts.
Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextualdata points to uncover new insights and adjust tactics and decisions on the fly.
What makes a knowledge graph a unique and powerful data solution is the semantic (data) model, or ontology , that is part of it. We use the terms semantic model, semantic data model and ontology interchangeably to refer to formal and explicit definitions of the concepts and relations within a domain.
Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextualdata points to uncover new insights and adjust tactics and decisions on the fly.
Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.
Identifying entities in natural language text Ontotext’s Tag service analyzes natural language text and can identify, for example, whether a mention of “Ferrari” refers to a specific car, the company that made it, or the person who founded the company. You can play with this service interactively at [link].
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