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Databases > Features
AI relies on data -- lots of it. As such, databases are essential for AI because all of that data needs to be stored, managed, and retrieved in a structured, scalable, and efficient manner. Databases support data preparation, integration, and real-time processing, as well as data quality, security, and governance. Succeeding with AI starts with the data. 

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The Rise of Agentic AI: Why Your AI Agent Is Clueless

Enterprises are rushing to adopt so-called "agentic AI," systems that promise to not just answer questions, but also take actions, automate tasks, and drive decisions. In theory, these agents can draft emails, update records, generate product specs, or flag anomalies without human involvement. In practice? Most deployments don't make it past the demo.

Guarding Against Bias When Training Language Models

Machine learning models return biased results when the datasets used to train them contain bias. Instances of social bias, skewed model results, and outputs that don't represent the full scope of a business problem for a specific domain are some of the caveats when employing this technology.

AI Techniques Powering Enterprise Productivity: From Automation to Augmented Intelligence

AI stands beyond experimental status—it is a founding power for corporate productivity delivery. From automating repetitive workflows to enhancing complex decision making, AI transforms how work gets done.

Exploring the ‘SIX D’S’ Framework for Language Model Training and AI Agent Creation

The integration of AI into customer service and support is by no means a futuristic vision—it is a present-day reality. AI is reshaping how organizations engage with their customers.

Accelerating AI Development With Synthetic Data

Synthetic data applications are at the intersection of some of the most meaningful developments in enterprise AI. Synthetic data techniques represent some of the earliest manifestations of generative AI and predate the widespread adoption of language models. In fact, employing synthetic data is one of the foremost methods of building—and fine-tuning—language models and foundation models in general.

The Homepage of the Future: Evolution, AI, and the End of Navigation

The evolution of web homepages reflects the internet's transformation during the past 3 decades. From simple, text-based pages to sophisticated, AI-driven interfaces, homepages have adapted to meet changing user needs and technological advancements.

The Rise of GenAI and LLMs

In 1950, Alan Turing suggested a test to determine if computers could mimic human intelligence well enough that an impartial observer could no longer tell the difference. We are still talking about the Turing Test almost 75 years after its inception.

The AI-Driven Transformation of Enterprise Data Architecture

The past year has been an exhilarating one with AI and more specifically, generative AI (GenAI), quickly emerging as a transformative force, reshaping how businesses will operate, innovate, and interact with customers. As AI continues to gain prominence, its impact on enterprise data architecture is becoming increasingly apparent.

Taming the Data Quality Issue in AI

Data quality is the showstopper of AI. Many enterprise leaders who were hot on the business potential of AI are realizing that their efforts will be dead in the water if the data they are employing to train and populate their AI models is inadequate, inaccurate, or not timely.

Developing a Strong AI Governance Framework

The exponential advancement of AI technologies necessitates the implementation of robust governance frameworks to guide their responsible development and deployment.

Adding Meaning to Data: Knowledge Graphs, Vector Databases, and Ontologies

This article discusses the importance of context in enterprise data for generative AI (GenAI), and, in fact, for any AI initiative.

The Future of Work Chatbots, Voicebots, and Virtual Assistants

Enterprises increasingly rely on chatbots, voicebots, and virtual assistants to service more customers without adding to their staff count. These devices can be connected by a single underlying software platform, although there are several companies that use these devices independent of each other.

Upskilling and Reskilling in the Age of AI

The AI revolution is upon us. A tidal wave of AI technology is sweeping across businesses, fundamentally reshaping how employees, managers, and AI system developers approach their work.