Aiiot Talk

MAY 25, 2023

Data is one of an organization’s most important assets. Whatever your industry, you rely on accurate and plentiful data to make informed decisions that drive your success. Criminals can mess with your data, stealing it or rendering it inaccurate.

Data Quality 130

Data Quality Data Integration Robotics Artificial Intelligence 130

Aiiot Talk

MARCH 20, 2024

Data Security Considerations in Preprocessing “Safeguarding data privacy during preprocessing — especially when handling sensitive information — is necessary.” Cybersecurity becomes a fundamental priority for managed IT services and ensures every piece of data is safe from potential breaches.

Machine Learning 214

Machine Learning Categorization Artificial Intelligence Artificial Intelligence 214

Unite.AI

DECEMBER 3, 2023

This method addresses a common challenge with AI language models: the tendency to generate plausible-sounding but inaccurate information, a phenomenon often referred to as ‘hallucinating' data. Ensuring the accuracy and reliability of AI-generated data is paramount, especially in fields where precision is crucial.

Chatbots 173

Chatbots AI Tools Machine Learning AI Chatbots 173

Marktechpost

MAY 9, 2024

The main features of the platform which are meant to make data workflows more efficient are as follows. This capacity to extract exact information guarantees the accurate acquisition of pertinent data for processing later on.

NLP 104

NLP Natural Language Processing Metadata Large Language Models 104

Flipboard

SEPTEMBER 11, 2023

Data wrangling, dataops, data prep, data integration—whatever your organization calls it, managing the operations to integrate and cleanse data is …

Machine Learning 164

Machine Learning Data Integration AI AI 164

IBM Journey to AI blog

JANUARY 12, 2024

For enterprises dealing with sensitive information, it is vital to maintain state-of-the-art data security in order to reap the rewards,” says Stuart Winter, Executive Chairman and Co-Founder at Lacero Platform Limited, Jamworks and Guardian. “AI is driving a revolution in education, accessibility and productivity.

AI 260

AI AI Natural Language Processing AI Modeling 260

Marktechpost

MARCH 19, 2024

This is a significant hurdle, as understanding images with embedded textual information is crucial for models to mirror human-like perception and interaction with their environment truly. These systems have been designed to bridge the gap between visual and textual data, integrating them into a cohesive understanding.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Large Language Models Data Integration 120

IBM Journey to AI blog

JANUARY 10, 2024

This safeguards both the AI model and the training data, allowing organizations to deploy machine learning models without compromising intellectual property or exposing sensitive information. So that records and sensitive medical data are encrypted and processed securely, protecting against data leaks and unauthorized access.

AI Modeling 194

AI Modeling Data Integration Machine Learning LLM 194

Unite.AI

MAY 15, 2024

This isn’t just about having a place to store data; it’s about creating an organized, efficient system capable of managing and processing vast amounts of information as the project’s complexity grows. Teams should be continually updating their databases to reflect the most current information.

Large Language Models 130

Large Language Models Generative AI Data Quality AI 130

Marktechpost

MAY 12, 2024

The tool also incorporates IP geolocation information, which enhances the user experience by tailoring website content to the visitor’s location and language. Fina uses artificial intelligence to help consumers make informed decisions about their financial prospects.

AI Tools 91

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 91

IBM Journey to AI blog

JANUARY 26, 2024

hereafter as Shuto Technology) to help a joint venture Original Equipment Manufacturer (OEM) in China to obtain information in an accurate and cost-effective way for on-site technicians. of the client to optimize data sharing and business synergy. production systems, IoT platforms etc.)

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Auto-complete Data Integration Automation AI 198

Flipboard

MARCH 10, 2023

Informatica Cloud Data Integration-Free and PayGo provide intelligent data integration to load, transform, and integrate data in minutes.

Data Integration 102

Data Integration AI AI Machine Learning 102

Marktechpost

APRIL 24, 2024

This issue is pronounced in environments where data integrity and confidentiality are paramount. Existing research in Robotic Process Automation (RPA) has focused on rule-based systems like UiPath and Blue Prism, which automate routine tasks such as data entry and customer service.

Machine Learning 138

Machine Learning AI Researcher AI Research Large Language Models 138

IBM Journey to AI blog

AUGUST 23, 2023

So, if we are training a LLM on proprietary data about an enterprise’s customers, we can run into situations where the consumption of that model could be used to leak sensitive information. In-model learning data Many simple AI models have a training phase and then a deployment phase during which training is paused.

Large Language Models 141

Large Language Models Data Discovery LLM AI 141

Unite.AI

DECEMBER 14, 2023

This can result in the inclusion of test data from downstream tasks in the LLMs' training data, which can impact their performance on other tasks. Another source of data contamination is the incorporation of biased information in the training data. Data security plays a critical role in LLMs.

Large Language Models 173

Large Language Models LLM Artificial Intelligence Artificial Intelligence 173

IBM Journey to AI blog

JANUARY 15, 2024

Chief information officers (CIOs) must work directly with CEOs and other business leaders to align on the cultural changes needed to make a digital transformation successful. Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions.

Automation 193

Automation Machine Learning DevOps Artificial Intelligence 193

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. To build a well-documented ML pipeline, data traceability is crucial. Examples of DATALORE utilization.

Machine Learning 132

Machine Learning Explainability Categorization ETL 132

Unite.AI

SEPTEMBER 21, 2023

Addressing this issue demands highly optimized and effective data integration strategies and data-sharing models. Some of the vital approaches in this regard include: Bridging the gap of data format in AI (large amount, centralized) and blockchain (small amount, decentralized) to effectively interpret blockchain data.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

Towards AI

NOVEMBER 3, 2023

the authors of the multimodal data integration in oncology paper. I recently read this article (link) about multimodal data integration for oncology with artificial intelligence (AI). Some of the required information and potential applications of multimodal data integration. Let’s dive into it.

Data Integration 101

Data Integration Artificial Intelligence Artificial Intelligence Deep Learning 101

Marktechpost

FEBRUARY 28, 2024

The cornerstone of BioBRIDGE’s methodology is its use of biomedical KGs, which contain rich structural information represented by triplets of head and tail biomedical entities and their relationships. This structure enables the comprehensive analysis of various modalities such as proteins, molecules, and diseases.

Machine Learning 87

Machine Learning AI Researcher AI Research Data Scarcity 87

IBM Journey to AI blog

DECEMBER 4, 2023

Generative AI could also help maintenance, repair and overhaul (MRO) technicians by enabling them to retrieve relevant information more effectively for repairs, or by automating the creation of parts and equipment orders so repair or maintenance can start as soon as a plane lands.

Generative AI 188

Generative AI AI AI Automation 188

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. Users should store data in secure locations with safeguards to protect against data breaches.

Generative AI 147

Generative AI AI AI Data Scientist 147

Pickl AI

AUGUST 31, 2023

Introduction The presence of large volumes of data within organisations requires effective sorting and analysing ensuring that decision-making is highly credible. Almost all organisations nowadays make informed decisions by leveraging data and analysing the market effectively. What is Data Profiling in ETL?

ETL 52

ETL Data Quality Data Integration Metadata 52

IBM Journey to AI blog

SEPTEMBER 6, 2023

Obsolete data and financial projections A budget, at its core, is a financial forecast. If it’s based on old information, it won’t be accurate. Real-time data integration As seen in platforms like IBM Planning Analytics , real-time data integrations ensures that budgets are always up to date.

Data Integration 223

Data Integration Artificial Intelligence Artificial Intelligence Algorithm 223

IBM Journey to AI blog

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

Unite.AI

MARCH 5, 2024

This approach acknowledges that AI's application in cybersecurity is not monolithic; different AI technologies can be deployed to protect various aspects of digital infrastructure, from network security to data integrity. The challenge lies in leveraging AI's defensive potential without escalating the arms race with cyber attackers.

AI 147

AI AI Large Language Models AI Developer 147

Marktechpost

FEBRUARY 5, 2024

The framework’s ability to efficiently erase specific data sets from memory without a complete model retraining represents a leap forward in developing privacy-compliant AI systems.

Algorithm 127

Algorithm Deep Learning Artificial Intelligence Artificial Intelligence 127

Pickl AI

MARCH 10, 2023

The following blog will discuss the familiar Data Science challenges professionals face daily. It will focus on the challenges of Data Scientists, which include data cleaning, data integration, model selection, communication and choosing the right tools and techniques.

Data Scientist 52

Data Scientist Data Science Data Integration Auto-classification 52

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Some of the databases in Web Technology: A database is necessary for every organization in order to organize and keep its core information. Which begs the question what is a database?

Big Data 83

Big Data Data Integration AI AI 83

Marktechpost

DECEMBER 1, 2023

The CIA Trinity, a well-known information security framework, consists of data confidentiality, integrity protection, and high availability. It is the responsibility of organizations to protect personal data privacy.

AI 103

AI AI Data Integration AI Researcher 103

Marktechpost

MAY 8, 2024

Overview of Deep Learning Technologies: Deep learning plays an important role in autonomous driving, with CNNs being crucial for processing spatial information like images, replacing traditional handcrafted features with learned representations.

Deep Learning 101

Deep Learning Neural Network Data Scarcity Natural Language Processing 101

Marktechpost

DECEMBER 25, 2023

This adaptive caching mechanism enables the Transformer model to attend to a combination of current and accumulated information, significantly extending its ability to process long-range dependencies. Integrating Cached Transformers with GRC demonstrates notable improvements in language and vision tasks.

Computer Vision 127

Computer Vision Natural Language Processing Machine Learning Data Integration 127

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 Natural Language Processing Machine Learning 52

Pickl AI

JULY 3, 2023

Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. Based on the report of Zion Research, the global market of Business Intelligence rose from $16.33

Business Intelligence 52

Business Intelligence ETL Continuous Learning Data Integration 52

IBM Journey to AI blog

JULY 26, 2023

This enables informed decision-making, as leaders have a clearer understanding of the trade-offs involved and can make strategic choices based on reliable data. Take budget constraints into account and make informed decisions on resource allocation. How to implement Zero-Based Budgeting?

Data Integration 152

Data Integration Artificial Intelligence Artificial Intelligence Machine Learning 152

Heartbeat

OCTOBER 25, 2023

Another area of advancement in bioinformatics is the integration of multi-omics data. Researchers can comprehensively understand biological systems by combining information from genomics, transcriptomics, proteomics, and other omics fields.

Machine Learning 52

Machine Learning Data Scientist Convolutional Neural Networks Algorithm 52

Towards AI

APRIL 12, 2024

Demand Forecasting: Using sophisticated data analytics businesses will be able to run through historical sales performance and extrapolate this behavior to define the demand for the future and resolve market complexities. Privacy of sensitive information is a crucial part.

Machine Learning 68

Machine Learning Data Analysis Artificial Intelligence Artificial Intelligence 68