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.

Generative AI 130

Generative AI AI Modeling AI AI 130

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.

ETL 213

ETL Data Integration Data Quality Generative AI 213

Unite.AI

MAY 15, 2024

This is doubly true for complex AI systems, such as large language models, that process extensive datasets for tasks like language processing, image recognition, and predictive analysis. Only then can we raise the potential of AI and large language model projects to breathtaking new heights.

Large Language Models 147

Large Language Models Generative AI Data Quality AI Architect 147

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. They can also identify data quality issues in text, image, and tabular datasets.

LLM 279

LLM AI AI Data Quality 279

IBM Journey to AI blog

SEPTEMBER 5, 2024

Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality. To maximize the value of their AI initiatives, organizations must maintain data integrity throughout its lifecycle.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

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.

Data Quality 147

Data Quality Automation AI AI 147

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.

AI 130

AI AI Data Platform LLM 130

AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Other analyses are also available to help you visualize and understand your data.

Generative AI 109

Generative AI Categorization Auto-complete Auto-classification 109

IBM Journey to AI blog

AUGUST 23, 2023

This problem is still being figured out by regulators, but it could easily become a major issue for any form of generative AI that learns from artistic intellectual property. We expect this will lead into major lawsuits in the future, and that will have to be mitigated by sufficiently monitoring the IP of any data used in training.

Large Language Models 167

Large Language Models Data Discovery LLM AI 167

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.

LLM 79

LLM NLP Data Integration AI 79

Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

Data Quality 52

Data Quality ML Machine Learning Natural Language Processing 52

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. That has been one of the key trends and one most recent ones is the addition of artificial intelligence to use AI, specifically generative AI to make automation even better.

Large Language Models 278

Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

Unite.AI

JUNE 17, 2024

You’ve previously stated that service industries are the most likely to benefit from Generative AI, can you give some examples of this? Service industries, which rely heavily on human interaction and creative problem-solving, stand to gain significantly from Generative AI. One prime example is in customer service.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Marktechpost

DECEMBER 3, 2024

As generative AI continues to grow, the need for an efficient, automated solution to transform various data types into an LLM-ready format has become even more apparent. Supporting a wide range of document types and retaining all information during parsing reduces manual effort while enhancing the quality of input data for LLMs.

LLM 103

LLM AI Tools Large Language Models Data Ingestion 103

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

Data Ingestion 118

Data Ingestion Metadata NLP Data Scientist 118

TransOrg Analytics

AUGUST 9, 2024

Cost-Effective: Generally more cost-effective than traditional data warehouses for storing large amounts of data. Cons: Complexity: Managing and securing a data lake involves intricate tasks that require careful planning and execution. Data Quality: Without proper governance, data quality can become an issue.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

Flipboard

FEBRUARY 12, 2025

In short, AI will handle mundane, high-volume tasks while the value of human judgement, creativity, and quality outcomes will increase. Models: No Context, No Value Large language models (LLMs) will continue to become a commodity for vanilla generative AI tasks, a trend that has already started.

AI 65

AI AI Robotics Automation 65

Marktechpost

JULY 17, 2023

YData By enhancing the caliber of training datasets, YData offers a data-centric platform that speeds up the creation and raises the return on investment of AI solutions. Data scientists can now enhance datasets using cutting-edge synthetic data generation and automated data quality profiling.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Unite.AI

JULY 5, 2024

Robust data management is another critical element. Establishing strong information governance frameworks ensures data quality, security and regulatory compliance. How is generative AI currently being used to enhance healthcare treatments and improve patient outcomes?

Data Integration 147

Data Integration Data Quality Algorithm AI Modeling 147

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. Different formats and standards Systems typically use varied data formats and structures.

Generative AI 71

Generative AI Artificial Intelligence Artificial Intelligence Machine Learning 71

Unite.AI

JANUARY 22, 2025

Coming from those two backgrounds, it was very clear to me that the data and compute challenges were converging as the industry was moving towards more advanced applications powered by data and AI. Empowered AI systems will follow this approach, orchestrating multiple tools and components.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

TransOrg Analytics

NOVEMBER 25, 2024

However, the advent of Generative AI has opened up new possibilities for price prediction. Generative AI, best known for creating realistic text, images, or even audio, also has applications in dynamic forecasting, making it an exciting prospect for predicting commodity prices. satellite data on crop health).

Generative AI 52

Generative AI Neural Network Data Quality AI 52

TransOrg Analytics

OCTOBER 17, 2024

Introduction Generative AI offers immense potential for enterprises, enabling them to generate realistic images, videos, text, and other forms of content. However, enterprise adoption of Generative AI has been slow due to various challenges. Opportunities for Generative AI in Enterprises 1.

Generative AI 52

Generative AI AI AI Explainability 52

TransOrg Analytics

OCTOBER 17, 2024

Introduction Generative AI offers immense potential for enterprises, enabling them to generate realistic images, videos, text, and other forms of content. However, enterprise adoption of Generative AI has been slow due to various challenges. Opportunities for Generative AI in Enterprises 1.

Generative AI 52

Generative AI AI AI Explainability 52

The MLOps Blog

JANUARY 26, 2024

3 One team that started doing data integrations and, over time, evolved and shifted their focus to model monitoring. Only by going through all these steps can you be sure that feedback integration leads to tangible improvements and that your ML-powered features remain in line with user expectations. (This was my team.)

ML 64

ML Data Scientist Machine Learning ML Engineer 64

Pickl AI

DECEMBER 10, 2024

Risk Management Strategies Across Data, Models, and Deployment Risk management begins with ensuring data quality , as flawed or biased datasets can compromise the entire system. Innovative solutions, such as privacy-preserving AI models and adversarial robustness techniques, are gaining traction in security.

Explainability 52

Explainability AI AI Artificial Intelligence 52

IBM Journey to AI blog

AUGUST 4, 2023

Here are some advantages—and potential risk—to consider during this organizational change: Productivity Many companies look to data democratization to eliminate silos and get more out of their data across departments. By recognizing data as a product, it creates greater incentive to properly manage data.

Machine Learning 183

Machine Learning Metadata Automation AI 183

AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

Generative AI 104

Generative AI Prompt Engineering Prompt Engineer AI 104

Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. Our own research at LTIMindtree, titled “ The State of Generative AI Adoption ,” clearly highlights these trends.

DevOps 147

DevOps Automation Responsible AI Software Development 147

AWS Machine Learning Blog

OCTOBER 24, 2024

An AI technique called embedding language models converts this external data into numerical representations and stores it in a vector database. This process creates a knowledge library that generative AI models can understand. We use OpenSearch Serverless as a sample vector store and use the Llama 3.1

LLM 111

LLM Big Data Architect Big Data Software Development 111