AI News

SEPTEMBER 26, 2024

Intelligent document processing and its importance Intelligent document processing is a more advanced type of automation based on AI technology, machine learning, natural language processing, and optical character recognition to collect, process, and organise data from multiple forms of paperwork.

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Analytics Vidhya

JUNE 18, 2023

Introduction Resume parsing, a valuable tool used in real-life scenarios to simplify and streamline the hiring process, has become essential for busy hiring managers and human resources professionals.

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John Snow Labs

MAY 10, 2023

Without Natural Language Processing, the unstructured data is of no use to modern computer-based algorithms. There’s a heavy burden on staff to identify patients manually as the process is long, complicated, and costly. They used this information to classify patients into four different groups.

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AI News

JULY 22, 2024

By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head. This article delves into how AI algorithms are transforming sports betting, providing actual data, statistics, and insights that demonstrate their impact.

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IBM Journey to AI blog

JUNE 14, 2023

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. Starting from this foundation model, you can start solving automation problems easily with AI and using very little data—in some cases, called few-shot learning, just a few examples.

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Unite.AI

NOVEMBER 15, 2024

Even in the early days of Google’s widely-used search engine, automation was at the heart of the results. Rethinking AI’s Pace Throughout History Although it feels like the buzz behind AI began when OpenAI launched ChatGPT in 2022, the origin of artificial intelligence and natural language processing (NLPs) dates back decades.

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Marktechpost

OCTOBER 10, 2024

Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. Thus, there is a growing demand for a modular, automated approach to building optimized LLM systems.

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Marktechpost

APRIL 6, 2024

Recent advancements integrate machine learning and natural language processing with TRIZ to streamline its reasoning process. However, most of these works utilize algorithms to improve specific steps of the TRIZ process. These methods still demand significant user reasoning.

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Large Language Models Automation Natural Language Processing Categorization 136

Unite.AI

MARCH 28, 2024

Robotics and automation for manufacturers Robotic automation has long been a cornerstone of modern manufacturing , streamlining repetitive tasks, enhancing precision, and augmenting human labor. Powered by AI algorithms, these robots possess the ability to adapt, learn, and optimize operations in real-time.

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AI News

JULY 3, 2024

By leveraging advanced algorithms and machine learning techniques, AI is transforming how marketers interact with their audiences, predict customer behaviour, and optimise their strategies for better results. Machine learning algorithms can identify patterns and preferences, allowing marketers to tailor their messages to individual customers.

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AI News

OCTOBER 18, 2024

It typically assigns the same blockchain data to multiple nodes to ensure availability, using an algorithm to manage query volumes. By using analytics, AI algorithms can predict any problems when they contract conditions are executed. Additionally, it can be used to automate the process of converting RWAs into digital tokens.

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Unite.AI

SEPTEMBER 25, 2023

The integration of AI brings a level of efficiency and accuracy that is unparalleled, automating the process of coordinating meetings, managing calendars, and even setting reminders for personal or professional commitments. Task Integration: Syncs with various task management apps to automate scheduling.

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Marktechpost

NOVEMBER 20, 2024

These labels act as a guide for machine learning algorithms to recognize patterns and make accurate predictions. This stage is crucial in supervised learning, where algorithms use labeled datasets to find patterns and make predictions. Machines Large datasets with recurring processes are best suited for automated labeling.

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AI News

SEPTEMBER 3, 2024

[link] — NVIDIA Data Center (@NVIDIADC) September 2, 2024 Colossus’ processing power could potentially accelerate breakthroughs in various AI applications, from natural language processing to complex problem-solving algorithms.

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Marktechpost

JULY 12, 2024

Natural Language Processing (NLP) focuses on the interaction between computers and humans through natural language. It encompasses tasks such as translation, sentiment analysis, and question answering, utilizing large language models (LLMs) to achieve high accuracy and performance.

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Dlabs.ai

JULY 25, 2023

In an era where AI and machine learning have streamlined everything, including hiring processes, the balance between efficiency and equity comes into question. With algorithms, machine learning, and statistical modeling defining who gets hired or promoted, are these decisions genuinely fair? What are AEDTs?

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AI News

OCTOBER 15, 2024

By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance. Management can be achieved by using automated inventory tracking systems.

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IBM Journey to AI blog

MARCH 21, 2024

Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation and personalized experiences. Parallelization and distributed computing Parallelizing AI algorithms across multiple compute nodes accelerates model training and inference by distributing computation tasks across a cluster of machines.

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Unite.AI

SEPTEMBER 18, 2023

However, the landscape is now evolving with Artificial Intelligence stepping onto the scene, adding a layer of sophistication and automation that promises to revolutionize the ITSM ecosystem. It also ventured into finance, automating trades and risk analysis. However, with AI-based automation, such tasks become a breeze.

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ODSC - Open Data Science

SEPTEMBER 12, 2024

Now that artificial intelligence has become more widely accepted, some daring companies are looking at natural language processing (NLP) technology as the solution. Many are turning to AI’s automation capabilities as a solution. Conventional techniques may be standard, but they’re tedious and expensive.

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AWS Machine Learning Blog

JUNE 26, 2024

Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. In this post, we show how you can automate and intelligently process derivative confirms at scale using AWS AI services. Using IDP can reduce or eliminate the requirement for time-consuming human reviews.

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IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). Scope and focus AIOps methodologies are fundamentally geared toward enhancing and automating IT operations. AIOps and MLOps: What’s the difference?

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Unite.AI

FEBRUARY 19, 2024

Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. Simply put, it is a superior iteration of intelligent automation. So why is this recently expounded phenomenon surprising industries? trillion by 2026.

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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. In this article, we will explore the top AI research paper summarizers, each designed to streamline the process of understanding and synthesizing academic literature: 1.

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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.

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Unite.AI

JUNE 2, 2023

EmailTree EmailTree is an AI-driven solution designed to streamline email communication and automate repetitive tasks. With EmailTree, businesses can optimize their email management process, allowing more time for essential tasks. Drift Email Drift Email is a smart tool designed to automate email marketing and sales tasks.

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Categorization Natural Language Processing Automation AI 261

Unite.AI

SEPTEMBER 24, 2024

The company offers a comprehensive suite of tools designed to optimize various aspects of supply chain operations, from demand forecasting and inventory management to transportation and warehouse automation. At the core of FourKites' offering is its ability to provide accurate, real-time tracking and predictive ETAs for shipments.

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Unite.AI

MARCH 27, 2024

Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data. Moreover, breakthroughs in natural language processing (NLP) and computer vision have transformed human-computer interaction and empowered AI to discern faces, objects, and scenes with unprecedented accuracy.

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IBM Journey to AI blog

OCTOBER 9, 2023

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. Increased efficiency: As noted above, automation and generative AI tools can save HR teams time by taking on routine task work.

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AI News

MAY 14, 2024

65 AI experts were asked to predict what everyday tasks will become automated within the next five to ten years. However, the biggest task that is likely to become more automated is grocery shopping. What a user sees is personalised because the algorithm has learned what posts you react to based on your history.

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Robotics Big Data Natural Language Processing AI 245

Unite.AI

OCTOBER 4, 2024

Continuous Security Testing: Vulnerability assessments are automated by integrating the testing tools into the continuous deployment process. AI can quickly and efficiently analyze vast data volumes using algorithms and machine learning. This helps speed up the testing process and find issues early on.

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Unite.AI

JUNE 28, 2023

Masterpiece Studio Masterpiece Studio is an AI-powered text-to-3D generator that has revolutionized the 3D modeling process. It uses sophisticated Natural Language Processing (NLP) technology to transform a user's descriptive language into a 3D model.

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LevelAI

FEBRUARY 5, 2024

This creates a bottleneck, limiting the overall effectiveness of the QA process. Automating the QA process is a solution that can address these shortcomings, but there are many pitfalls to avoid when automation contact center QA. Not all QA automation tools are made equal and vary wildly in scope and quality.

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IBM Journey to AI blog

MARCH 19, 2024

However, many components of these tasks can now be automated or augmented by AI , allowing hiring managers to focus on providing smarter, higher-level engagement with candidates. By processing this data, AI identifies patterns and correlations, providing insights into future hiring needs based on past trends and organizational goals.

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Robot Writers AI

MAY 28, 2023

ad Essentially, by employing advanced algorithms, natural language processing, data gathering and analytics, the tool — dubbed ‘WELLS’ — will be able to autonomously research, verify, and write news articles across multiple platforms at unprecedented scales, according to a press release from maker HeyWire AI. #ad

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Unite.AI

SEPTEMBER 20, 2024

Its real-time trend analysis, investment evaluations, risk assessments, and automation features empower financial professionals to make informed choices efficiently. The emergence of machine learning and Natural Language Processing (NLP) in the 1990s led to a pivotal shift in AI.

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IBM Journey to AI blog

MAY 1, 2023

Soon after, AI’s capabilities extended to Speech and Natural Language processing, such as with IBM Watson, and for Image Recognition, which is now ubiquitously used for unlocking phones and other biometric security. AI’s Image recognition can automatically read, interpret, and process documents and images (e.g.,

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