Marktechpost

APRIL 15, 2024

As climate change continuously threatens our planet and the existence of life on it, integrating machine learning (ML) and artificial intelligence (AI) into this arena offers promising solutions to predict and mitigate its impacts effectively.

Machine Learning 106

Machine Learning Data Analysis ML Artificial Intelligence 106

Aiiot Talk

APRIL 30, 2024

The integration of AI technology in the NDT process is expected to play a critical role in advancing the market toward a $16.83 AI and ML are augmenting human capabilities and advanced data analysis, paving the way for safer and more reliable NDT processes in the following ways. billion valuation by 2033.

Automation 130

Automation Algorithm Machine Learning ML 130

Marktechpost

JUNE 16, 2024

This new version enhances the data-focused authoring experience for data scientists, engineers, and SQL analysts. The updated Notebook experience features a sleek, modern interface and powerful new functionalities to simplify coding and data analysis.

Data Ingestion 116

Data Ingestion Python Automation Data Scientist 116

Marktechpost

DECEMBER 3, 2024

In the evolving landscape of artificial intelligence, language models are becoming increasingly integral to a variety of applications, from customer service to real-time data analysis. One key challenge, however, remains: preparing documents for ingestion into large language models (LLMs). Check out the GitHub Page.

LLM 102

LLM AI Tools Large Language Models Data Ingestion 102

Defined.ai blog

AUGUST 10, 2023

It can quickly process large amounts of data, precisely identifying patterns and insights humans might overlook. Businesses can transform raw numbers into actionable insights by applying AI. For instance, an AI model can predict future sales based on past data, helping businesses plan better.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

O'Reilly Media

NOVEMBER 28, 2023

Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. Many AI adopters are still in the early stages.

Generative AI 125

Generative AI AI AI Data Analysis 125

Defined.ai blog

SEPTEMBER 5, 2023

Similarly, by feeding AI models with retail sales data, you’re essentially ‘training’ it to be more intuitive, efficient, and predictive. Armed with detailed data, AI can detect these shifts long before human analysts, allowing businesses to pivot or adapt swiftly.

AI Modeling 52

AI Modeling Machine Learning AI AI 52

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Pickl AI

DECEMBER 25, 2024

Its transparent curation process and accessibility make it a preferred choice for researchers seeking high-quality, representative data for building robust and unbiased AI systems. Issues Related to Data Quality and Overfitting The quality of the data in the Pile varies significantly.

Large Language Models 52

Large Language Models Natural Language Processing AI Research AI Researcher 52

NVIDIA

FEBRUARY 7, 2024

With advances in computing, sophisticated AI models and machine learning are having a profound impact on business and society. Industries can use AI to quickly analyze vast bodies of data, allowing them to derive meaningful insights, make predictions and automate processes for greater efficiency.

Robotics 119

Robotics Convolutional Neural Networks AI AI 119

Becoming Human

MAY 19, 2023

However, it’s still learning as there are many challenges related to speech data and the data quality it uses to get better. Predictive Analytics The banking sector is one of the most data-rich industries in the world, and as such, it is an ideal candidate for predictive analytics.

Chatbots 84

Chatbots AI Chatbots Natural Language Processing Artificial Intelligence 84

Pickl AI

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Despite challenges like data quality and ethical concerns, AI’s potential in genomics continues to grow, shaping the future of healthcare.

Neural Network 52

Neural Network Deep Learning Machine Learning Artificial Intelligence 52

Bugra Akyildiz

MAY 25, 2024

Articles OpenAI has announced GPT-4o , their new flagship AI model that can reason across audio, vision, and text in real-time. The blog post acknowledges that while GPT-4o represents a significant step forward, all AI models including this one have limitations in terms of biases, hallucinations, and lack of true understanding.

ChatGPT 59

ChatGPT Machine Learning Data Analysis OpenAI 59

Defined.ai blog

AUGUST 23, 2023

These are just a few examples of how marketing data is shaping the world of AI, creating more intelligent, more responsive systems that transform customer experiences. But the influence of marketing data isn’t limited to shaping AI. AI and data analysis skill gaps within organizations can also hinder progress.

Machine Learning 52

Machine Learning Data Quality Artificial Intelligence Artificial Intelligence 52

Dlabs.ai

NOVEMBER 26, 2024

Corti AI Implementation in Wales A machine learning system named Corti AI is being implemented in NHS ( National Health Service ) Wales to enhance emergency call management, particularly for out-of-hospital cardiac arrest (OHCA) cases. Addressing Biases AI models are only as objective as the data they are fed.

AI 59

AI AI Robotics Data Quality 59

ODSC - Open Data Science

OCTOBER 20, 2023

Building and Deploying a Gen AI App in 20 Minutes Nick Schenone | Pre-Sales MLOps Engineer | Iguazio Building your own Generative AI application can be quite difficult. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Pickl AI

JULY 12, 2024

Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models. At the same time, Keras is a high-level neural network API that runs on top of TensorFlow and simplifies the process of building and training deep learning models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Neural Network 52

Pickl AI

JULY 23, 2023

Datasets are typically formatted and stored in files, databases, or spreadsheets, allowing for easy access and analysis. Examples of datasets include a spreadsheet containing information about customer demographics, a database of medical records, or a collection of images for training an AI model.

Data Analysis 52

Data Analysis Explainability Algorithm Machine Learning 52

Pickl AI

DECEMBER 16, 2024

AI in Time Series Forecasting Artificial Intelligence (AI) has transformed Time Series Forecasting by introducing models that can learn from data without explicit programming for each scenario. This step includes: Identifying Data Sources: Determine where data will be sourced from (e.g.,

Machine Learning 52

Machine Learning AI AI Neural Network 52

Flipboard

FEBRUARY 12, 2025

This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources. Model improvements in the future wont come from brute force and more data; they will come from better data quality, more context, and the refinement of underlying techniques.

AI 65

AI AI Robotics Automation 65

Pickl AI

JUNE 6, 2024

Summary: Data scrubbing is identifying and removing inconsistencies, errors, and irregularities from a dataset. It ensures your data is accurate, consistent, and reliable – the cornerstone for effective data analysis and decision-making. Overview Did you know that dirty data costs businesses in the US an estimated $3.1

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

Pickl AI

OCTOBER 7, 2024

Leak Detection AI-powered solutions can analyse data from sensors deployed throughout the distribution network to identify anomalies indicative of leaks. Water Demand Forecasting AI models can predict future water demand based on historical usage patterns, weather forecasts, and seasonal trends.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation Machine Learning 52

Pickl AI

NOVEMBER 3, 2023

Data processing: In order to make well-informed forecasts, AI quickly analyses large datasets, including real-time information from social media and the news. Algorithms for ML: AI models employ ML to adjust and find correlations, gradually improving accuracy. Thus giving traders a competitive edge.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

Viso.ai

OCTOBER 10, 2024

When we integrate computer vision algorithms with geospatial intelligence, it helps automate large volumes of spatial data analysis. The computer vision or AI-powered GEOINT models provide faster and more accurate insights than traditional ones. It also helps with situational awareness of disaster events.

Computer Vision 52

Computer Vision Machine Learning Algorithm Convolutional Neural Networks 52

Pragnakalp

APRIL 29, 2024

This model stands out as a game-changer, providing functionalities comparable to larger models while requiring less training data. Microsoft’s decision to launch Phi-3 reflects its commitment to enhancing AI models’ contextual understanding and response accuracy.

Deep Learning 59

Deep Learning Big Data Data Science LLM 59

Marktechpost

JULY 17, 2023

It is impossible to completely substitute accurate data because precise, accurate data are still needed to generate practical synthetic examples of the information. How Important Is Synthetic Data? AI models are typically more accurate when they have more varied training data.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Unite.AI

JANUARY 1, 2025

Clario has integrated over 30 AI models across various stages of clinical trials. Could you provide examples of how these models enhance specific aspects of trials, such as oncology or cardiology? We use our AI models to deliver speed, quality, precision and privacy to our customers in more than 800 clinical trials.

Algorithm 162

Algorithm AI Modeling AI Tools Data Quality 162

DataRobot Blog

DECEMBER 20, 2022

Datarobot enables users to easily combine multiple datasets into a single training dataset for AI modeling. The great thing about DataRobot Explainable AI is that it spans the entire platform. You can understand the data and model’s behavior at any time. Rapid Modeling with DataRobot AutoML.

Explainability 59

Explainability Automation Machine Learning AI 59

Dlabs.ai

SEPTEMBER 24, 2024

Determine which systems impact EU patients or process EU health data Next, determine which systems impact EU patients or process EU health data.

AI 52

AI AI Explainability Artificial Intelligence 52

Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence. Step 2: Identify AI Implementation Areas.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

Unite.AI

NOVEMBER 13, 2024

Today, enterprises need real-time data analysis, advanced analytics, and even predictive capabilities within the familiar spreadsheet format. Large Language Models (LLMs) , advanced AI models capable of understanding and generating human language, are changing this domain.

Large Language Models 264

Large Language Models Data Analysis AI AI 264

AWS Machine Learning Blog

AUGUST 12, 2024

Solution overview SageMaker Canvas allows you to build a custom ML model using a dataset that you have imported. This feature allows you to explore your data using natural language without any background in ML or SQL. These columns do not contain useful information for machine learning and would add noise to the models.

ML 121

ML Data Quality AI AI 121

Unite.AI

JANUARY 23, 2025

AI tools have seen widespread business adoption since ChatGPT's 2022 launch, with 98% of small businesses surveyed by the US Chamber of Commerce using them. One critical framework is the EU AI Act , which mandates clear documentation, transparency, and governance for high-risk AI systems.

Responsible AI 113

Responsible AI AI Tools Data Quality Data Analysis 113

TransOrg Analytics

OCTOBER 3, 2024

Data Observability for Real-Time Analysis In an era where real-time decision-making is critical, data observability will gain traction in 2024. Businesses will increasingly adopt data observability platforms that monitor the health of data pipelines, track data quality, and provide instant insights.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

TransOrg Analytics

OCTOBER 3, 2024

Data Observability for Real-Time Analysis In an era where real-time decision-making is critical, data observability will gain traction in 2024. Businesses will increasingly adopt data observability platforms that monitor the health of data pipelines, track data quality, and provide instant insights.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

Unite.AI

NOVEMBER 21, 2024

Our own research at LTIMindtree, titled “ The State of Generative AI Adoption ,” clearly highlights these trends. In healthcare, we’re seeing GenAI make a big impact by automating things like medical diagnostics, data analysis and administrative work.

DevOps 147

DevOps Automation Responsible AI Software Development 147

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. Model validation and stress testing are crucial steps to identify weaknesses before deployment.

Explainability 52

Explainability AI AI Artificial Intelligence 52