Unite.AI

OCTOBER 11, 2023

For large-scale Generative AI applications to work effectively, it needs good system to handle a lot of data. What sets this database apart is its ability to deals with many types of data like text, sound, pictures, and videos in a number/vector form. One such important system is the vector database.

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IBM Journey to AI blog

JUNE 28, 2024

Generative AI is shaping the future of telecommunications network operations. In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services.

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Generative AI Automation Large Language Models AI 216

AI News

FEBRUARY 14, 2025

Rise of agentic AI and unified data foundations According to Dominic Wellington, Enterprise Architect at SnapLogic , Agentic AI marks a more flexible and creative era for AI in 2025. However, such systems require robust data integration because siloed information risks undermining their reliability.

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ESG Big Data Explainability AI 311

IBM Journey to AI blog

DECEMBER 4, 2023

In an industry where safety is paramount and new technologies require utmost scrutiny, generative AI promises to boost aviation businesses and their industry partners. There are a myriad of potential use cases for generative AI.

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Unite.AI

OCTOBER 30, 2024

They overwhelmingly requested that we adapt the technology for contact centers, where they already had voice and data streams but lacked the modern generative AI architecture. Each workflow or service has its own AI pipeline, but the underlying technology remains the same. Intelligence and data insights are crucial.

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Automation AI AI Generative AI 264

AI Weekly

JUNE 27, 2024

In the News 3 things CEOs must prepare to unlock the power of generative AI Generative AI is poised to redefine the future of work, as it presents unprecedented opportunities for innovation and efficiency. bbc.com Bill Gates Says AI’s Green Benefits Will Outweigh Its Emissions The Microsoft Corp.

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IBM Journey to AI blog

JANUARY 9, 2024

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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Data Ingestion Data Integration Data Quality LLM 222

Unite.AI

DECEMBER 20, 2024

As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). Transparency is also an essential factor.

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AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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ESG Generative AI AI AI 130

AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. She holds 30+ patents and has co-authored 100+ journal/conference papers.

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Generative AI Data Ingestion Python LLM 120

IBM Journey to AI blog

NOVEMBER 14, 2023

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. Serve : Build cloud services for data products through automation and platform service technology so they can be operated securely at global scale.

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ESG Generative AI AI AI 315

IBM Journey to AI blog

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes.

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ETL Data Integration Data Quality Generative AI 213

Unite.AI

NOVEMBER 1, 2024

According to Forrester , a staggering 92% of technology leaders are planning to increase their data management and AI budgets in 2024. In the latest McKinsey Global Survey on AI , 65% of respondents indicated that their organizations are regularly using generative AI technologies.

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AI Development AI Developer Data Quality Data Science 162

Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

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Analytics Vidhya

SEPTEMBER 23, 2024

As data volumes grow and sources diversify, manual quality checks become increasingly impractical and error-prone. This is where automated data quality checks come into play, offering a scalable solution to maintain data integrity and reliability.

Data Quality 271

Data Quality Automation Data Integration Generative AI 271

Unite.AI

OCTOBER 26, 2023

Before artificial intelligence (AI) was launched into mainstream popularity due to the accessibility of Generative AI (GenAI), data integration and staging related to Machine Learning was one of the trendier business priorities. The post Generative AI Pushed Us to the AI Tipping Point appeared first on Unite.AI.

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AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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Generative AI Data Ingestion AI AI 116

Marktechpost

JUNE 30, 2024

In recent years, the proliferation of generative AI technologies has led to the development of various user interfaces that harness the power of AI to enhance productivity, creativity, and user interaction. The AI Form: AI forms leverage generative AI to streamline and enhance form-filling processes.

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Generative AI Chatbots Natural Language Processing Automation 116

Flipboard

JANUARY 28, 2025

Plot your path At their core, AI agents are generative AI language models wrapped around existing corporate functions, services, and databases, enabling natural language interaction with these components. The enterprises existing data, processes, and talent can serve as the foundation for AI agent implementation.

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AI AI Automation Continuous Learning 140

Unite.AI

MAY 15, 2024

Security personnel, surveillance cameras, and access controls in a building help ensure the safety of its residents; cybersecurity protocols, such as Secure by Design principles and multi-factor authentication, play a crucial role in safeguarding an organization's data integrity.

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Large Language Models Generative AI Data Quality AI Architect 147

Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

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AI AI Data Integration Generative AI 189

AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. They needed no additional infrastructure for data integration.

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Generative AI LLM AI AI 118

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs).

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Generative AI Large Language Models AI AI 116

AWS Machine Learning Blog

SEPTEMBER 28, 2023

In either case, as knowledge management becomes more complex, generative AI presents a game-changing opportunity for enterprises to connect people to the information they need to perform and innovate. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.

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Unite.AI

DECEMBER 27, 2024

Its because the foundational principle of data-centric AI is straightforward: a model is only as good as the data it learns from. No matter how advanced an algorithm is, noisy, biased, or insufficient data can bottleneck its potential. One effective strategy is implementing robust preprocessing pipelines.

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Data Quality Data Drift Explainability Big Data 130

AWS Machine Learning Blog

MARCH 14, 2025

These challenges make it difficult for organizations to maintain consistent quality standards across their AI applications, particularly for generative AI outputs. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. Adewale Akinfaderin is a Sr.

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Generative AI Responsible AI Automation LLM 88

IBM Journey to AI blog

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. According to a survey by the MIT Sloan Management Review, nearly 85% of executives believe generative AI will enable their companies to obtain or sustain a competitive advantage.

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AI AI Generative AI Algorithm 238

Unite.AI

JULY 19, 2024

That's an AI hallucination, where the AI fabricates incorrect information. Studies show that 3% to 10% of the responses that generative AI generates in response to user queries contain AI hallucinations. A comprehensive approach to AI auditing and governance. Pros Customizable auditing policies.

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LLM AI AI Data Quality 279

AWS Machine Learning Blog

JUNE 3, 2024

A data flow in SageMaker Canvas is used to build a data preparation pipeline that can be scheduled to automatically import, prepare, and feed into a model build. With a data flow, you can prepare data using generative AI, over 300 built-in transforms, or custom Spark commands.

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Generative AI Categorization Auto-complete Auto-classification 110

ODSC - Open Data Science

APRIL 20, 2023

Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions Let’s explore the elements of data integrity, and why they matter for AI/ML. Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0

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Deep Learning Data Integration Large Language Models Data Science 52

IBM Journey to AI blog

DECEMBER 11, 2023

This redundancy prevents data loss if one of the backups is comprised. Hybrid cloud also speeds disaster recovery as data is continuously replicated and refreshed, ensuring data integrity, accuracy, consistency and reliability.

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DevOps Automation Generative AI Big Data 308

Unite.AI

DECEMBER 26, 2024

The AI's data processing extends into advanced analytics, enabling brands to track consumer purchases across multiple channels while linking them to advertising campaigns. The system continually replicates this information into existing data lakes or warehouses, powering generative AI features that produce deeper retail insights.

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AI Tools Automation AI AI 147

Unite.AI

JULY 15, 2024

One of the key advantages of decentralized AI in cybersecurity is tamper-proof data integrity. Blockchain technology ensures that once data is recorded on the ledger, it cannot be altered or deleted without the consensus of the network.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Innovating at scale is made possible with IBM Z modernization tools like Wazi Image Builder, Wazi Dev Spaces on OpenShift, CI/CD pipelines, z/OS Connect for APIs, zDIH for data integrations, and IBM Watson for generative AI. What are the benefits of Wazi as a service on IBM Cloud?

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DevOps Automation Data Integration Generative AI 290

AWS Machine Learning Blog

MARCH 6, 2025

This blog post delves into how these innovative tools synergize to elevate the performance of your AI applications, ensuring they not only meet but exceed the exacting standards of enterprise-level deployments. By adopting this holistic evaluation approach, enterprises can fully harness the transformative power of generative AI applications.

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LLM Generative AI ML Prompt Engineering 92

Unite.AI

JUNE 13, 2024

What inspired data.world to develop the AI Context Engine, and what specific challenges does it address for businesses? From the beginning, we knew a Knowledge Graph (KG) would be critical for advancing AI capabilities. A significant challenge in AI applications today is explainability.

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Explainability Data Integration Metadata Generative AI 130

Unite.AI

DECEMBER 6, 2024

Why is Postgres increasingly becoming the go-to database for building generative AI applications, and what key features make it suitable for this evolving landscape? companies adopting AI, these businesses require a foundational technology that will allow them to quickly and easily access their abundance of data and fully embrace AI.

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