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.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Flipboard

APRIL 6, 2023

Team Whistle is using AI to generate metadata for its videos on social platforms like TikTok and YouTube and claimed more of these videos have gone viral, which evp of content Noah Weissman credits in part to the technology. One TikTok video that Team Whistle used AI to help with research, metadata and scripting has over 176,000 views.

AI Tools 129

AI Tools Generative AI Metadata AI 129

Unite.AI

AUGUST 21, 2023

Its advanced algorithms and artificial intelligence will analyze your emails and prioritize them accordingly. Instead, it uses advanced algorithms to analyze email metadata for efficient sorting. EmailTree: EmailTree utilizes artificial intelligence to enhance email communication efficiency and automate recurring tasks.

Artificial Intelligence 246

Artificial Intelligence Artificial Intelligence Automation Algorithm 246

Viso.ai

FEBRUARY 1, 2024

Experiment tracking is the discipline of recording relevant metadata while developing a machine learning model. Run Metadata: Timestamp of the run, duration of training, experiment ID. That’s why techniques vary from manually using paper or spreadsheets to fully automated commercial-off-the-shelf tools.

Machine Learning 52

Machine Learning Metadata Computer Vision ML 52

AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Metadata 98

Metadata Auto-classification Auto-complete Content Enrichment 98

AWS Machine Learning Blog

MAY 5, 2023

To easily provide users with a large repository of relevant results, the solution should provide an automated way of searching through trusted sources. With an understanding of the problem and solution, the subsequent sections dive into how to automate data sourcing through the crawling of architecture diagrams from credible sources.

Metadata 101

Metadata ETL ML Data Ingestion 101

DataRobot Blog

SEPTEMBER 1, 2022

You need full visibility and automation to rapidly correct your business course and to reflect on daily changes. Imagine yourself as a pilot operating aircraft through a thunderstorm; you have all the dashboards and automated systems that inform you about any risks. Autoscaling Deployments with MLOps. Learn More About DataRobot MLOps.

Data Drift 145

Data Drift AI AI Data Science 145

Viso.ai

FEBRUARY 11, 2024

While AI can create textures and intricate details, its algorithms sometimes result in repetitions. Missing Metadata and Provenance In the digital realm, where pixels reign supreme, metadata acts as the whisper of provenance, the ghost in the machine whispering the story of an image’s origin.

Metadata 59

Metadata Computer Vision AI AI 59

Viso.ai

FEBRUARY 11, 2024

While AI can create textures and intricate details its algorithms sometimes result in repetitions. Missing Metadata and Provenance In the digital realm, where pixels reign supreme, metadata acts as the whisper of provenance, the ghost in the machine whispering the story of an image’s origin.

Metadata 59

Metadata Computer Vision AI AI 59

Heartbeat

SEPTEMBER 22, 2023

Introduction In the world of machine learning, where algorithms learn from data to make predictions, it’s important to get the best out of our models. Steps to Perform Hyperparameter Tuning Hyperparameter Tuning process (Image by author) Select Hyperparameters to Tune: Different algorithms have different hyperparameters.

Machine Learning 64

Machine Learning ML Algorithm Automation 64

Unite.AI

JANUARY 23, 2024

Powerful approximate nearest neighbor algorithms like HNSW , LSH and PQ enable fast semantic search even with billions of documents. Hybrid retrieval combines dense embeddings and sparse keyword metadata for improved recall. Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK.

Large Language Models 130

Large Language Models Prompt Engineer Prompt Engineering LLM 130

Marktechpost

JUNE 16, 2023

An online store’s full customer service and stock-keeping processes can now be automated. You get to choose which processes are automated. Its algorithm carefully studies your business to produce content that appeals to customers and search engines alike. Retailers have varying requirements, though.

AI Tools 109

AI Tools Artificial Intelligence Artificial Intelligence AI 109

Unite.AI

DECEMBER 19, 2023

This is done on the features that security vendors might sign, starting from hardcoded strings, IP/domain names of C&C servers, registry keys, file paths, metadata, or even mutexes, certificates, offsets, as well as file extensions that are correlated to the encrypted files by ransomware.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. For many years, Philips has been pioneering the development of data-driven algorithms to fuel its innovative solutions across the healthcare continuum.

Data Scientist 89

Data Scientist ML Data Science Automation 89

Viso.ai

NOVEMBER 19, 2023

This is because AI has the ability to automate tasks and processes that would otherwise not be possible or carried out by humans. Teams can rapidly build custom applications, integrate existing cameras, and always use the latest algorithms (e.g., Viso Suite enables organizations to solve the challenges of scaling computer vision.

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

deepsense.ai

JULY 30, 2023

The recent strides made in the field of machine learning have given us an array of powerful language models and algorithms. During training, we log all the model metrics and metadata automatically. These models offer tremendous potential but also bring a unique set of challenges when it comes to building large-scale ML projects.

Large Language Models 76

Large Language Models LLM Machine Learning Automation 76

ODSC - Open Data Science

SEPTEMBER 21, 2023

After all, this is what machine learning really is; a series of algorithms rooted in mathematics that can iterate some internal parameters based on data. This is understandable: a report by PwC in 2018 suggested that 30% of UK jobs will be impacted by automation by the 2030s Will Robots Really Steal Our Jobs?

Machine Learning 98

Machine Learning ML Engineer ML Data Science 98

Unite.AI

FEBRUARY 15, 2024

Its advanced algorithms ensure accurate transcription, speaker identification, and action item tracking. is a valuable tool for automating sales calls, filling out your CRM, coaching sales representatives, and closing deals quickly. to automate their meetings, track action items, and gather key takeaways in one place.

AI 147

AI AI Natural Language Processing Automation 147

ODSC - Open Data Science

JUNE 8, 2023

Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making.

Machine Learning 52

Machine Learning Data Science Metadata AI 52

Pickl AI

OCTOBER 11, 2023

Key Features The automated reporting feature allows you to easily share the data insights with the team. It is backed by sophisticated algorithms that empower the identification of budding data irregularities Simplify the amalgamation of data from diverse origins. Data Lineage : Tracking data’s journey and transformations.

Data Quality 52

Data Quality Metadata Automation Data Integration 52

DataRobot Blog

MARCH 16, 2023

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. This saves us the time it would otherwise take to memorize metadata and APIs.

Data Science 98

Data Science OpenAI Data Scientist Large Language Models 98

Google Research AI blog

JUNE 23, 2023

An important algorithmic piece of cache management is the decision policy used for dynamically updating the set of items being stored, which has been extensively optimized over several decades, resulting in several efficient and robust heuristics. The eviction decisions rely on a filtering mechanism with two steps.

Automation 79

Automation Neural Network Software Engineer Metadata 79

AWS Machine Learning Blog

MAY 3, 2023

Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it. The scaling type is determined from the alarm metadata as described earlier.

Auto-classification 70

Auto-classification Auto-complete Machine Learning Metadata 70

AWS Machine Learning Blog

APRIL 7, 2023

Although AWS offers a number of options for model training—from AWS Marketplace models and SageMaker built-in algorithms—there are a number of techniques to deploy open-source ML models. JumpStart provides access to hundreds of built-in algorithms with pre-trained models that can be seamlessly deployed to SageMaker endpoints.

BERT 80

BERT Metadata Natural Language Processing ML 80

AWS Machine Learning Blog

MAY 4, 2023

Amazon Forecast is an ML-based time series forecasting service that includes algorithms that are based on over 20 years of forecasting experience used by Amazon.com , bringing the same technology used at Amazon to developers as a fully managed service, removing the need to manage resources. For more details, refer to Importing Datasets.

Automation 97

Automation Metadata Data Ingestion Data Scientist 97

Pickl AI

JANUARY 16, 2024

Predictive Modeler Harnessing the power of algorithms to forecast future trends, aiding businesses in strategic decision-making. billion 22.32% by 2030 Automated Data Analysis Impact of automation tools on traditional roles. billion 15.83% Metadata-Driven Data Fabric Systematic data management efficiency. billion 13.5%

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Heartbeat

JULY 11, 2023

It entails creating and using algorithms and methods to provide computers with the ability to recognize, decipher, and produce human language in a natural and meaningful manner. It entails employing algorithms and techniques to process and extract meaning from human language. articles, videos).

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

Pickl AI

AUGUST 31, 2023

The method makes use of business rules and analytical algorithms to minutely analyse data for discrepancies. It supports metadata analysis, data lineage, and data quality assessment. Data Profiling refers to the process of analysing and examining data for creating valuable summaries of it.

ETL 52

ETL Data Quality Data Integration Metadata 52

The MLOps Blog

DECEMBER 19, 2022

Lesson 1: Mitigating data sparsity problems within ML classification algorithms What are the most popular algorithms used to solve a multi-class classification problem? The selection of the correct loss function plays a pivotal role in the success of the algorithm. Let’s take a look at some of them.

ML 52

ML Deep Learning Algorithm Neural Network 52

AWS Machine Learning Blog

APRIL 18, 2023

RallyPoint has identified the transition period to a civilian career as a major opportunity to improve the quality of life for this population by creating automated and compelling job recommendations. From a technical perspective, like many traditional recommender system problems, data sparsity and a long tail was a challenge to overcome.

Machine Learning 72

Machine Learning ML Computer Vision Metadata 72

Mlearning.ai

FEBRUARY 16, 2023

There can be alternatives that expedite and automate data flows. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data. You can enjoy the following specific opportunities by using Snowflake cloud data: Ease of use and complete automation.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

Unite.AI

SEPTEMBER 14, 2023

Ever since its inception in 2008, it continued to emerge as a disruptive technology that had the potential to revolutionize the way we store or exchange data or information, and revolutionize the way we trace & track transactions or automate them.

AI 319

AI AI Algorithm AI Modeling 319

The MLOps Blog

MARCH 15, 2023

Automation : Automating as many tasks to reduce human error and increase efficiency. AWS Sagemeaker is in fact a great tool for machine learning operations (MLOps) to automate and standardize processes across the ML lifecycle. But we chose not to go with the same in our deployment due to a couple of reasons. S3 buckets.

ETL 52

ETL Data Drift Machine Learning ML 52

Pickl AI

OCTOBER 19, 2023

Create data dictionaries and metadata repositories to help users understand the data’s structure and context. Data Quality Tools Invest in data quality tools and software to automate and streamline data quality management. Anomaly Detection Implement anomaly detection algorithms to identify unusual data points.

Data Quality 52

Data Quality ETL Machine Learning Data Ingestion 52

AWS Machine Learning Blog

SEPTEMBER 8, 2023

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Finding the image that best matches an article in repositories of this scale can be a time-consuming, repetitive, manual task that can be automated.

Metadata 96

Metadata Automation Natural Language Processing LLM 96

John Snow Labs

JUNE 1, 2023

De-identification of DICOM DICOM (Digital Imaging and Communications in Medicine) defines a set of protocols for formatting and exchanging medical images and associated data, including patient information, diagnostic information, and other metadata. They store, transmit, and manage medical images along with other related information.

NLP 52

NLP Natural Language Processing Metadata Algorithm 52

AWS Machine Learning Blog

MAY 7, 2024

With a decade of enterprise AI experience, Veritone supports the public sector, working with US federal government agencies, state and local government, law enforcement agencies, and legal organizations to automate and simplify evidence management, redaction, person-of-interest tracking, and eDiscovery.

Metadata 97

Metadata Generative AI Machine Learning Large Language Models 97