IBM Journey to AI blog

FEBRUARY 23, 2024

Think: an online retailer that stores customers’ email addresses to send order updates. Identify and protect special category data When inventorying data, organizations should make a note of any especially sensitive data that requires extra protection. A DPO is an independent corporate officer in charge of GDPR compliance.

Automation 207

Automation Explainability OpenAI ChatGPT 207

AWS Machine Learning Blog

APRIL 5, 2024

Customers across industries such as advertising and marketing technology, gaming, media, and retail & e-commerce rely on images uploaded by their end-users (user-generated content or UGC) as a critical component to drive engagement on their platform. You also receive a confidence score for each label category.

Computer Vision 105

Computer Vision Machine Learning Deep Learning Artificial Intelligence 105

Flipboard

SEPTEMBER 27, 2023

It works in a variety of applications including video stream analysis, industrial automation, process monitoring, retail analytics, and robotics. “However, AI capabilities will ensure safer operations for robots and commercial vehicles, which we believe will accelerate regulatory support for these critical categories,” he said.

Robotics 117

Robotics ChatGPT Computer Vision OpenAI 117

Unite.AI

SEPTEMBER 25, 2023

AR and VR are both included in the category of immersive technology known as XR, or Extended Reality. Numerous AR applications can be found in a range of sectors, including manufacturing, construction, retail, healthcare, and more.

Computer Vision 338

Computer Vision AI AI Deep Learning 338

IBM Journey to AI blog

NOVEMBER 8, 2023

Supply chains comprise multiple tiers and it is crucial for all stakeholders — including distributors and retailers — to make consumer safety a top priority. This list includes 16 wide categories, such as all soft cheeses, nut butters, crustaceans, leafy greens and fresh-cut fruits.

ESG 287

ESG Automation 287

Viso.ai

DECEMBER 19, 2023

Lung cancer classification model to analyze CT medical imaging in medical and healthcare AI applications Image classification techniques are mainly divided into two categories: Supervised and unsupervised image classification techniques. The categorization law can be applied through one or multiple spectral or textural characterizations.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

IBM Journey to AI blog

NOVEMBER 24, 2023

retail banking, wholesale banking, open banking and corporate banking). Provide a visual representation of the mapping and matching score with BIAN Hierarchical navigation and filters for BIAN levels, API Category and matching score. In addition, teams were able to identify key API categories for building right operational resilience.

Generative AI 248

Generative AI Auto-complete DevOps Automation 248

AWS Machine Learning Blog

OCTOBER 17, 2023

Search is crucial in engaging users because it brings high-intent traffic from individuals seeking specific products or categories. AWS Partners like Cognizant are excited by the personalization possibilities that the Amazon Personalize Search Ranking plugin will unlock for their media and retail customers.

Software Development 88

Software Development ML Deep Learning Algorithm 88

Mlearning.ai

MAY 15, 2023

Pandas Code For this example, I have taken the supermart grocery sales dataset which contains information about products, sales, discount, profit etc. apply(lambda x: x.year) df.groupby('year')['Sales'].mean()

Data Ingestion 52

Data Ingestion LLM Data Science OpenAI 52

Marktechpost

JULY 7, 2023

Large Language Models (LLMs) and Generative AI, such as GPT engines, have been creating big waves in the AI domain recently, and there is a big hype in the market, both among retail individuals and corporates, to ride this new tech wave. These risks pertain to any machine-learning system and are not just restricted to Large Language Models.

LLM 103

LLM Explainability Large Language Models Machine Learning 103

AWS Machine Learning Blog

MAY 5, 2023

A retail company is building a mobile app to help customers buy clothes. To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. We add a FiftyOne classification label to each sample with the field name article_type, populated by the image’s top-level article category.

Metadata 75

Metadata Computer Vision Machine Learning Data Scientist 75

AWS Machine Learning Blog

OCTOBER 6, 2023

The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase behaviors. Features are the inputs used during training and inference of ML models.

Generative AI 111

Generative AI LLM Natural Language Processing Metadata 111

IBM Journey to AI blog

FEBRUARY 12, 2024

Beauty retail giant Sephora is known for their Beauty Insider Program. Another example of how this tool works is that a seller can give their item a title and use generative AI to get recommended categories and other information that describes the item. Overall creating a more streamlined listing process for eBay sellers.

Generative AI 193

Generative AI Artificial Intelligence Artificial Intelligence AI 193

Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Categorization 52

Categorization Data Analysis Data Science ML 52

Pickl AI

JUNE 25, 2023

Example 1: Retail Sales Optimization A retail chain wants to optimize its sales by identifying the key drivers of customer purchasing behaviour. It discovers that certain product categories perform exceptionally well among a specific customer segment.

Machine Learning 52

Machine Learning Data Science Business Intelligence Data Mining 52

The MLOps Blog

JANUARY 18, 2023

I found that Corporación Favorita, a large Ecuadorian-based grocery retailer, has made their data available for us at Kaggle. The idea is to leverage an accurate forecasting model that can help retailers to please their customers by having the right products at the right time. dt.year * 12 + decoder_data[ "date" ].dt.month

Data Drift 52

Data Drift Categorization Deep Learning ML 52

ODSC - Open Data Science

JULY 10, 2023

For instance, analyzing previous purchases and browsing history can let the AI predict what product category can interest a particular set of customers and thereby suggest relevant items. Traditionally, such funds were allocated to separate, unconnected categories like retail displays and promotional campaigns with little group collaboration.

AI 52

AI AI Data Science Artificial Intelligence 52

Mlearning.ai

FEBRUARY 17, 2023

Simple linear regression Multiple linear regression Polynomial regression Decision Tree regression Support Vector regression Random Forest regression Classification is a technique to predict a category. For instance, Email can be divided into normal email, import email, promotion email or spam — so hear we have 4 categories to work with.

Machine Learning 52

Machine Learning Algorithm Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 17, 2023

A simple rephrasing in the source text can cause predictions to flip from one category to another. Depending on the count of categories and the lengths of the texts to evaluate, the prompt could exceed the LLM’s token maximum. Its categorical power is brittle. They used this data set to train two models: A DistillBERT model—83.6%

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

A simple rephrasing in the source text can cause predictions to flip from one category to another. Depending on the count of categories and the lengths of the texts to evaluate, the prompt could exceed the LLM’s token maximum. Its categorical power is brittle. They used this data set to train two models: A DistillBERT model—83.6%

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Bitext

SEPTEMBER 27, 2023

It contains 27 intents, organized into 10 categories, with approximately 1,000 question/answer pairs for each intent. These verticals range from Automotive, Retail Banking, Education, Events & Ticketing, to Healthcare , and more. What’s Inside This Dataset?

Large Language Models 52

Large Language Models Conversational AI LLM Chatbots 52

Viso.ai

JANUARY 4, 2024

Unlike simple segmentation that might just separate foreground from background, semantic segmentation categorizes all pixels in an image into predefined categories. Each pixel in the image is classified and segmented to represent distinct objects or regions based on semantic categories. There are a few different dimensions to this.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Towards AI

JULY 18, 2023

Needless to say, the abuse of machine-generated recommendations results in an unfair playing field between retailers and disillusioning shopping experiences for consumers. Algorithms also refer back to reviews to determine a product’s ranking in a category. Hence, many have already taken false promotion further by reaching for AI.

Data Mining 79

Data Mining Machine Learning Algorithm AI 79

Snorkel AI

OCTOBER 23, 2023

Executive summary Wayfair, the leading home goods and furniture e-commerce retailer, offers over 40M products to 22 M customers. Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Results: +10x faster development: compared to traditional HITL workflows. +20

Automation 64

Automation Computer Vision Machine Learning Data Scientist 64

IBM Journey to AI blog

DECEMBER 20, 2023

On retail websites, for instance, machine learning algorithms influence consumer buying decisions by making recommendations based on purchase history. And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences.

Machine Learning 204

Machine Learning Neural Network Algorithm Computer Vision 204

Snorkel AI

OCTOBER 23, 2023

Executive summary Wayfair, the leading home goods and furniture e-commerce retailer, offers over 40M products to 22 M customers. Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Results: +10x faster development: compared to traditional HITL workflows. +20

Automation 59

Automation Computer Vision Machine Learning Data Scientist 59

Towards AI

FEBRUARY 16, 2023

Automation has been around for centuries, and its use has increased significantly in recent years across many industries, including manufacturing, transportation, healthcare, and retail. The job market can be divided into two main categories: the labor market and the goods market.

Automation 70

Automation Robotics Artificial Intelligence Artificial Intelligence 70

Flipboard

APRIL 23, 2023

Color by numbers Paramount and Videoamp last week released an outcomes report on several campaigns in categories across across automotive, CPG, QSR and entertainment that ran on Paramount Network in 2022. It’s also partnered with Patch, which is investing in new solar technologies.

AI Strategy 113

AI Strategy ChatGPT ESG AI 113

AWS Machine Learning Blog

MARCH 27, 2024

Similarly, it can aid in design across various industries such as manufacturing, fashion design in retail, and game design by streamlining the generation of graphics and illustrations. We discuss how to prepare your data for the model fine-tuning task and how to create a model customization job in Amazon Bedrock.

Prompt Engineer 86

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 86

Viso.ai

FEBRUARY 28, 2023

While most are aware of rather popular use cases in security and video surveillance or self-driving cars, fewer people get to see the use cases in specific industries such as industrial manufacturing or retail analytics. Body, hand, or facial movements can be recognized and categorized to assign a pre-defined category.

Computer Vision 52

Computer Vision Automation Algorithm Deep Learning 52

Mlearning.ai

APRIL 17, 2023

Previously, I did CRM work and forecasting work with a time series on the retail industry. In this study, I will be conducting an exploratory data analysis study on the Customer Shopping Dataset — Retail Sales Data dataset published on Kaggle by my dear friend Mehmet Tahir Arslan , who is among my LinkedIn connections. value_counts().to_dict()

Data Analysis 52

Data Analysis Categorization Explainability ML 52

Ofemwire

MAY 7, 2023

Moving forward, I will categories this AI tools into Chatbots, Marketing Softwares, Predictive analytics tools , Content creation tools, A/B testing tools , Dynamic pricing tools, Social media tools, SEO tools and Image optimization tools So, let’s dive in and explore these essential AI tools!

AI Tools 52

AI Tools Chatbots Automation AI 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Compared to classic ML and MLOps, FMOps and LLMOps defer based on four main categories that we cover in the following sections: people and process, selection and adaptation of FM, evaluation and monitoring of FM, data privacy and model deployment, and technology needs.

Generative AI 103

Generative AI Prompt Engineer Prompt Engineering AI 103

Flipboard

JULY 31, 2023

Furniture-6k With its 5894 images, the Furniture-6k dataset could be perfect for those interested in interior design or retail applications. Image classification involves assigning a label to an image from a predetermined set of categories. This labeled dataset serves as the training data for the machine learning model.

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

SAS Software

JUNE 16, 2023

データサイエンスの使いどころ・・・攻めと守りの圧倒的な違い 以前のブログで、データ活用における攻めと守りについてお話しました。今回は小売業を例に多くのデータ活用プロジェクトが陥りやすい罠と、真の目的達成のための方法についてご紹介します。 小売業の目的はもちろん他の業種企業と変わらず、収益の最大化です。昨今データ分析を武器として売り上げの最大化、コストの削減、業務プロセスの生産性向上を目指す企業が増えてきています。時には、データサイエンティストが、データサイエンスを駆使してプロジェクトを実行しているケースもあるでしょう。 ここで、今一度現在取り組んでいる、またはこれから取り組もうとしているデータサイエンスやAI活用のプロジェクトがどんな利益を自社にもたらすのかを改めて考えてみましょう。昨今、需要予測についての相談が非常に多いので、ここでは需要予測について考えてみます。 (..)

AI 52

AI AI 52

Pickl AI

JULY 28, 2023

Image Recognition aims to assign labels or categories to the entire image based on its content. Shoppers may now find things using images rather than text thanks to IR technology in the retail and e-commerce industries. It improves suggestion and personalization technologies, which raises consumer engagement and conversion rates.

Machine Learning 52

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 52

Viso.ai

DECEMBER 10, 2023

Image Recognition is the task of identifying objects of interest within an image and recognizing which category the image belongs to. On the other hand, image recognition is the task of identifying the objects of interest within an image and recognizing which category or class they belong to. Get a personalized demo.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98