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

Flipboard

NOVEMBER 15, 2024

Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. The most common method to populate the Data Catalog is to use an AWS Glue crawler , which automatically discovers and catalogs data sources.

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Metadata Generative AI LLM AI 147

IBM Journey to AI blog

MARCH 25, 2024

The global adoption of generative AI is upon us, and it’s essential for marketing organizations to understand and play in this space to stay competitive. Knowing how to manifest these improvements is not always clear: Enter generative AI and the content supply chain.

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Generative AI AI AI AI Tools 299

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.

Generative AI 213

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Unite.AI

DECEMBER 26, 2024

AI retail tools have moved far beyond simple automation and data crunching. Stackline Stackline is an AI retail intelligence platform that processes data from over 30 major retailers to optimize eCommerce performance.

AI Tools 147

AI Tools Automation AI AI 147

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: Data products are discoverable and consumed as services, typically via a platform. Code generation “co-pilot” tools (e.g.,

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ESG Generative AI AI AI 315

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

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. When did you first discover AI and realize how disruptive it would be?

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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

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. This transparency fosters trust in AI systems by clarifying their foundations.

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Data Quality Data Drift Explainability Big Data 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 119

AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

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Generative AI Responsible AI Automation LLM 89

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. Examples include Devin AI, GitHub Copilot Enterprise, and Custom GPT Builder.

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Generative AI Chatbots Natural Language Processing Automation 113

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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Data Ingestion Metadata Machine Learning Generative AI 154

Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. Data warehousing has evolved quite a bit in the past 20-25 years. There are a lot of repetitive tasks and automation's goal is to help users in front of repetition.

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Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

IBM Journey to AI blog

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). This means developers can build and deploy their environments and code with industry-grade regulations in mind, ensuring data security and regulatory compliance.

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DevOps Automation Data Integration Generative AI 290

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 115

AWS Machine Learning Blog

MARCH 18, 2025

Extraction of relevant data points for electronic health records (EHRs) and clinical trial databases. Data integration and reporting The extracted insights and recommendations are integrated into the relevant clinical trial management systems, EHRs, and reporting mechanisms.

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IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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AWS Machine Learning Blog

MAY 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Chatbots Automation Machine Learning DevOps 121

IBM Journey to AI blog

DECEMBER 11, 2023

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. This centralized management system makes implementing security measures like encryption , automation, access control and endpoint data security easier. This redundancy prevents data loss if one of the backups is comprised.

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DevOps Automation Generative AI Big Data 308

IBM Journey to AI blog

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

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Machine Learning Automation DevOps Artificial Intelligence 219

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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AWS Machine Learning Blog

AUGUST 7, 2024

In the face of these challenges, MLOps offers an important path to shorten your time to production while increasing confidence in the quality of deployed workloads by automating governance processes. This post illustrates how to use common architecture principles to transition from a manual monitoring process to one that is automated.

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Automation Machine Learning ML Explainability 113

NVIDIA

FEBRUARY 28, 2025

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. NVIDIA GPUs are essential for training and deploying AI models due to their exceptional computational power.

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IBM Journey to AI blog

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

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Metadata Data Quality Auto-classification DevOps 188

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 115

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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AWS Machine Learning Blog

MARCH 10, 2025

It became apparent that a cost-effective solution for our generative AI needs was required. Response performance and latency The success of generative AI-based applications depends on the response quality and speed. This is a challenge when the data size and complexity grow. Enter Amazon Bedrock Knowledge Bases.

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DevOps Metadata Auto-complete Automation 92

NVIDIA

OCTOBER 23, 2024

Manufacturers and service providers in India are adopting NVIDIA Omniverse to tap into simulation, digital twins and generative AI to accelerate their factory planning and drive automation for more efficient operations. 25, from major industrial names like Ola Electric, Reliance Industries, Tech Mahindra, and TCS.

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Robotics Automation Generative AI Large Language Models 128

AWS Machine Learning Blog

MARCH 17, 2025

Healthcare agents can integrate LLM models and call external functions or APIs through a series of steps: natural language input processing , self-correction, chain of thought, function or API calling through an integration layer, data integration and processing, and persona adoption.

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LLM Natural Language Processing ML Computer Vision 99

AWS Machine Learning Blog

FEBRUARY 21, 2025

Generative AI is revolutionizing enterprise automation, enabling AI systems to understand context, make decisions, and act independently. Generative AI foundation models (FMs), with their ability to understand context and make decisions, are becoming powerful partners in solving sophisticated business problems.

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Categorization IDP Generative AI Automation 83

IBM Journey to AI blog

JANUARY 29, 2024

By using AI, automation, and hybrid cloud, among others, organizations can drive intelligent workflows, streamline supply chain management, and speed up decision-making. Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. Why digital transformation?

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Automation Artificial Intelligence Artificial Intelligence Big Data 213

Unite.AI

JUNE 13, 2024

For me, computer science is like solving a series of intricate puzzles with the added thrill of automation. 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.

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Explainability Data Integration Metadata Generative AI 130

Unite.AI

JUNE 12, 2024

While cinematic portrayals of AI often evoke fears of uncontrollable, malevolent machines, the reality in IT is more nuanced. Professionals are evaluating AI's impact on security , data integrity, and decision-making processes to determine if AI will be a friend or foe in achieving their organizational goals.

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Data Quality Automation AI AI 147

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. Let’s try the manual approach.

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Generative AI Categorization Auto-complete Auto-classification 109