Unite.AI

SEPTEMBER 19, 2023

Bookkeeping involves the meticulous scanning of receipts, methodically tracking all income and expenses, and categorizing expenditures. However, now, you need to categorize it for tax purposes. Imagine this scenario: you’ve purchased a printer for your home office, and it turns out to be of great help.

Categorization 288

Categorization AI AI Automation 288

AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we present a framework for automating the creation of a directed acyclic graph (DAG) for Amazon SageMaker Pipelines based on simple configuration files. The following are the key benefits of this solution: Automation – The entire ML workflow, from data preprocessing to model registry, is orchestrated with no manual intervention.

Automation 119

Automation Python Machine Learning ML 119

Aiiot Talk

JANUARY 24, 2024

AI algorithms can categorize emails more effectively than traditional filters, prioritizing important messages and reducing the clutter of less relevant ones. Scheduling and Follow-up Automation AI can also learn user behaviors to suggest optimal times for sending emails and automate follow-up reminders.

Automation 231

Automation Artificial Intelligence Artificial Intelligence Natural Language Processing 231

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. What is machine learning?

Machine Learning 243

Machine Learning Neural Network Algorithm Computer Vision 243

Unite.AI

JULY 9, 2024

The KGW Family modifies the logits produced by the LLM to create watermarked output by categorizing the vocabulary into a green list and a red list based on the preceding token. These watermarking techniques are mainly divided into two categories: the KGW Family and the Christ Family.

LLM 130

LLM Large Language Models Algorithm Automation 130

ODSC - Open Data Science

SEPTEMBER 22, 2023

But, the advent of automation tools targeted to sales professionals can help run an efficient and productive sales process. Therefore, sales teams can use automation tools to do repetitive and time-consuming tasks like generating leads, sending emails, and keeping track of follow-ups. Let’s begin. #1.

Automation 52

Automation Data Science Categorization Machine Learning 52

Aiiot Talk

FEBRUARY 8, 2024

Artificial intelligence and machine learning are fundamentally transforming how industries operate, especially with regard to automation and big data processing. AI-powered solutions like advanced image recognition and machine learning can automate the process, increasing the speed and accuracy of sorting waste.

Machine Learning 130

Machine Learning Automation Artificial Intelligence Artificial Intelligence 130

Unite.AI

APRIL 16, 2024

By leveraging historical data and machine learning algorithms, companies can forecast regulatory trends and proactively adapt their compliance processes accordingly. Additionally, the integration of automation technologies such as robotic process automation (RPA) and artificial intelligence (AI) is streamlining compliance workflows.

Automation 162

Automation Natural Language Processing AI AI 162

IBM Journey to AI blog

JANUARY 25, 2024

Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Do you have purpose-built algorithms to improve intermittent and variable demand forecasting? Master data enrichment to enhance categorization and materials attributes.

Algorithm 278

Algorithm Categorization Artificial Intelligence Artificial Intelligence 278

Towards AI

JULY 9, 2024

Advances in artificial intelligence and machine learning have led to the development of increasingly complex object detection algorithms, which allow us to efficiently and precisely interpret large volumes of geographical data. Another method for figuring out which category a detected object belongs to is object categorization.

Convolutional Neural Networks 82

Convolutional Neural Networks ML Neural Network Computer Vision 82

Unite.AI

JANUARY 5, 2024

What tasks could be automated and what AI tools align with your design goals? One of the most beneficial aspects of incorporating AI into a UX designer’s toolkit is the potential to automate routine tasks, thereby expediting their workflow. UX design, being an iterative process, can hugely benefit from automating A/B testing processes.

UX Design 182

UX Design Artificial Intelligence Artificial Intelligence Algorithm 182

Mlearning.ai

FEBRUARY 10, 2024

Unlocking Predictive Power: How Bayes’ Theorem Fuels Naive Bayes Algorithm to Solve Real-World Problems [link] Introduction In the constantly shifting realm of machine learning, we can see that many intricate algorithms are rooted in the fundamental principles of statistics and probability. Take the Naive Bayes algorithm, for example.

Algorithm 52

Algorithm Machine Learning Categorization Automation 52

Mlearning.ai

APRIL 6, 2023

However, with a wide range of algorithms available, it can be challenging to decide which one to use for a particular dataset. ⚠ You can solve the below-mentioned questions from this blog ⚠ ✔ What if I am building Low code — No code ML automation tool and I do not have any orchestrator or memory management system ?

Machine Learning 52

Machine Learning Algorithm Neural Network Computer Vision 52

Towards AI

APRIL 5, 2023

coming up with a set of labels relevant to the data we want to categorize) and HuggingFace zero-shot models for the actual text classification (i.e., End Note In this article, we discussed how to implement a Zero-shot text classification algorithm automating the label generation process using GPT-3 (or GPT4, even better!).

Automation 81

Automation OpenAI Categorization Machine Learning 81

Ofemwire

MAY 9, 2023

If you’re looking to stay ahead of the competition in 2023, AI email automation tools are an essential part of your toolbox. AI-driven email automation tools can take your email marketing efforts to the next level, saving you time and boosting your ROI. With the use of AI, email automation becomes even more powerful.

Automation 52

Automation ChatGPT AI AI 52

IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Convolutional Neural Networks 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

Dlabs.ai

JUNE 11, 2019

This means processing about 75,000 incoming invoices a year that all need to be evaluated and categorized. It took two full-time employees to categorize all the documents. We chose to implement custom-made classification and normalization machine learning algorithms based on NLP (natural language processing).

Automation 52

Automation Categorization Natural Language Processing Machine Learning 52

IBM Journey to AI blog

MAY 17, 2024

  In the context of this rapid advancement, generative AI and automation have the capacity to create more fundamentally relevant and contextually appropriate buying experiences. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

Generative AI 214

Generative AI Automation AI AI 214

IBM Journey to AI blog

SEPTEMBER 3, 2024

This improvement will lead to the automation of low-level tasks and the augmentation of human abilities, enabling workers to accomplish more with greater proficiency. This data is created algorithmically to mimic the characteristics of real-world data and can serve as an alternative or supplement to it.

Generative AI 329

Generative AI LLM AI AI 329

Viso.ai

DECEMBER 19, 2023

Computer Vision Application for mango plant disease classification in Agriculture The need for AI to understand image data Since the vast amount of image data we obtain from cameras and sensors is unstructured, we depend on advanced techniques such as machine learning algorithms to analyze the images efficiently.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

AWS Machine Learning Blog

JUNE 3, 2024

To find the relationship between a numeric variable (like age or income) and a categorical variable (like gender or education level), we first assign numeric values to the categories in a way that allows them to best predict the numeric variable. Linear categorical to categorical correlation is not supported.

Generative AI 117

Generative AI Categorization Auto-complete Auto-classification 117

AWS Machine Learning Blog

AUGUST 2, 2023

The textual description is added as metadata to an Amazon Kendra search index via an automated custom document enrichment (CDE). It allows users to quickly and easily find the images they need without having to manually tag or categorize them. GenAI-based image captioning is particularly useful for automating this laborious process.

Automation 84

Automation Generative AI Metadata Data Scientist 84

Aiiot Talk

JULY 18, 2023

Algorithms are incredibly good at recognizing trends in data, meaning they typically come to accurate conclusions. On the other hand, an algorithm can immediately identify minor discrepancies to come to data-driven conclusions. Algorithms operate on extensive data sets, meaning their support has a basis in facts.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 130

Marktechpost

JULY 24, 2024

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. This innovative approach holds promise for revolutionizing the field of Automated Machine Learning.

Machine Learning 111

Machine Learning ML Natural Language Processing Computer Vision 111

Viso.ai

OCTOBER 10, 2024

Pattern recognition is the ability of machines to identify patterns in data, and then use those patterns to make decisions or predictions using computer algorithms. The ability to automate the recognition of patterns and regularities in data has many applications, from facial recognition software to tumor detection.

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

IBM Journey to AI blog

OCTOBER 16, 2023

ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history. ML classification algorithms are also used to label events as fraud, classify phishing attacks and more. Many stock market transactions use ML.

Machine Learning 133

Machine Learning ML Chatbots Algorithm 133

Marktechpost

OCTOBER 29, 2024

Numerous domains, such as web development, data research, machine learning, automation, and scientific computing, heavily rely on Python. Because of its versatility, it can handle challenging jobs like developing reliable online apps, evaluating enormous datasets, developing predictive models, and even automating repetitive chores.

Python 115

Python Machine Learning Categorization Automation 115

Unite.AI

MAY 10, 2024

AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries. By simply entering keywords, phrases, or questions, users can leverage Elicit's AI algorithms to search through its extensive database and retrieve the most pertinent papers.

AI Researcher 147

AI Researcher AI Research Natural Language Processing Machine Learning 147

Becoming Human

MARCH 12, 2024

Legal professionals now leverage powerful AI tools with sophisticated algorithms for more efficient and precise processing of vast information repositories. It automates document analysis, enhances the identification of relevant legal principles, and establishes new benchmarks in the field.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

IBM Journey to AI blog

APRIL 25, 2024

In the early days of online shopping, ecommerce brands were categorized as online stores or “multichannel” businesses operating both ecommerce sites and brick-and-mortar locations. The future of commerce , augmented by automation and AI , will increasingly provide packaged customer experiences.

Generative AI 278

Generative AI Categorization Automation Data Quality 278

IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks.

Generative AI 188

Generative AI Auto-complete AI AI 188

IBM Journey to AI blog

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses.

Conversational AI 299

Conversational AI Chatbots NLP AI 299

ODSC - Open Data Science

OCTOBER 7, 2024

It isn’t just about writing code or creating algorithms — it requires robust pipelines that handle data, model training, deployment, and maintenance. These challenges range from managing large datasets to automating model deployment and monitoring for performance drift. Model Training: Running computations to learn from the data.

Software Engineer 52

Software Engineer Data Ingestion Machine Learning Data Scientist 52

Marktechpost

NOVEMBER 21, 2024

Throughout the manuscript, the researchers analyze AI’s impact on algorithmic development and provide forward-looking insights into potential future applications and developmental challenges. Artificial intelligence, particularly reinforcement learning techniques, offers a revolutionary pathway to automate and accelerate code discovery.

Artificial Intelligence 63

Artificial Intelligence Artificial Intelligence Neural Network Convolutional Neural Networks 63

Unite.AI

OCTOBER 6, 2024

Offers both AI-Assisted and AI-Automated culling options. The platform significantly reduces the time spent on these tasks with advanced algorithms that learn from your preferences. These automated features prepare images for delivery much quicker without manually adjusting every photo.

AI 147

AI AI AI Tools Automation 147

Marktechpost

JULY 25, 2023

LogAI provides a unified model interface for popular statistical, time-series, and deep-learning models, making it easy to benchmark deep-learning algorithms for log anomaly detection. Different log analysis algorithms are implemented in separate pipelines, adding to the complexity of managing experiments and benchmarking.

Deep Learning 98

Deep Learning Machine Learning Algorithm Categorization 98

TransOrg Analytics

AUGUST 5, 2024

Generative AI refers to algorithms, particularly those built on models like GPT-4, that can generate new content. Entity Recognition : Identify and categorize entities (like names, dates, or locations) within text. Enter generative AI, a groundbreaking technology that transforms how we approach data extraction. What is Generative AI?

Data Extraction 52

Data Extraction Generative AI Categorization Automation 52