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.

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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.

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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.

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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.

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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.

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Algorithm Categorization Data Quality Artificial Intelligence 202

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!).

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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.

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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.

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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 ?

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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.

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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.

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Automation Artificial Intelligence Artificial Intelligence NLP 105

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).

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Automation Categorization Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Again, the manual consumer lending process has some advantages, such as approving a loan that requires human judgment.

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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.

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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.

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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.

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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.

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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.

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Marktechpost

MARCH 22, 2024

Researchers investigating LLM security vulnerabilities have explored various jailbreak attack methodologies, categorized into Human-Design, Long-tail Encoding, and Prompt Optimization. Human design involves manually crafting prompts to exploit model weaknesses, such as role-playing or scenario crafting.

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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.

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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.

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Marktechpost

FEBRUARY 21, 2024

Programming by example is one of the diverse fields of Artificial intelligence (AI) in automation processes. Existing approaches to tackle these challenges can be categorized into neural and neuro-symbolic methods. The goal is to generate programs to solve tasks based on input-output examples.

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Unite.AI

FEBRUARY 26, 2024

In fact, the machine learning (ML) algorithms behind every AI model are trained on vast amounts of data to perform well. The lawsuit emphasised that millions of articles published by media organizations were utilized to train automated chatbots, which now rival the news outlet as a source of dependable information.

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Chatbots Categorization ChatGPT Deep Learning 162

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

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Marktechpost

AUGUST 4, 2023

The important information from an invoice may be extracted without resorting to templates or memorization, thanks to the hundreds of millions of invoices used to train the algorithms. Even on day one of operation, their algorithms produce near-perfect header results, and their technology is always evolving.

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Unite.AI

AUGUST 13, 2023

These limitations include: Reactive approaches, predominantly relying on human moderation and static algorithms, struggle to keep pace with the rapid dissemination of hate speech. Also, contextual understanding and evolving language nuances pose challenges for automated systems to identify and interpret hate speech instances accurately.

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Pickl AI

JANUARY 3, 2024

Feature engineering in machine learning is a pivotal process that transforms raw data into a format comprehensible to algorithms. Feature Engineering is the art of transforming raw data into a format that Machine Learning algorithms can comprehend and leverage effectively. What is Feature Engineering?

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Machine Learning Categorization Algorithm Data Analysis 52

Unite.AI

OCTOBER 17, 2023

In the past, the business relied on a conventional approach to segmentation, categorizing customers by geographic location, based on the underlying assumption that farmers from the same region would have similar needs. For example, in the US, mortgage companies have been under fire for alleged racial profiling of their AI algorithms.

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Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Yi, and J.-K.

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Computer Vision Deep Learning Categorization Automation 80

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.

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Becoming Human

MAY 12, 2023

By automating routine tasks and processes to streamlining operations with enhanced efficiency, accuracy, and cost-effectiveness, AI has proven to revolutionize virtually every industry, be it healthcare, education, retail, finance, or agriculture. It takes creativity, intuition, and problem-solving skills to develop artificial intelligence.

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. The predictive AI algorithms can be used to predict a wide range of variables, including continuous variables (e.g.,

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Marktechpost

JULY 17, 2023

With cameras, data, and algorithms instead of retinas, optic nerves, and the visual cortex, computer vision teaches computers to execute similar tasks in much less time. The system analyzes visual data before categorizing an object in a photo or video under a predetermined heading. Identification of the item.

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Computer Vision Neural Network Machine Learning Deep Learning 86

Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. In both cases, algorithms are trained to generate predictions or judgments based on data inputs. Machine learning algorithms can make predictions or classifications based on input data. What is Machine Learning?

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Towards AI

FEBRUARY 3, 2024

From Predicting the behavior of a customer to automating many tasks, Machine learning has shown its capacity to convert raw data into actionable insights. Even though converting raw data into actionable insights, it is not determined by ML algorithms alone. The success of any ML project depends on a well-structured lifecycle.

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Mlearning.ai

JULY 23, 2023

Text Classification : Categorizing text into predefined categories based on its content. It is used to automatically detect and categorize posts or comments into various groups such as ‘offensive’, ‘non-offensive’, ‘spam’, ‘promotional’, and others. Machine Translation : Translating text from one language to another. Still confused?

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Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Carefully examining and categorizing these materials can be time-consuming and laborious. Algorithms can automatically detect and extract key items.

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NLP Natural Language Processing Algorithm Categorization 52