IBM Journey to AI blog

JUNE 30, 2023

Today’s consumers want to know that retailers and brands are aligned with their values. So, while retailers can—and must—use technology as their differentiator, to win the lion’s share of consumer hearts, retail leaders must deliver on promises and purpose. Checking all these boxes is no small feat.

AI 161

AI AI 161

IBM Journey to AI blog

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

Generative AI 145

Generative AI Automation AI AI 145

IBM Journey to AI blog

SEPTEMBER 27, 2023

The challenges of keeping a promise The challenge is particularly true in highly competitive areas like omnichannel retail or even B2B domains—wholesale distribution and dealer-based after-market parts. It becomes very challenging to uphold the promise when so much is changing in the processes that trigger demand and supply.

Automation 207

Automation 207

IBM Journey to AI blog

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

Machine Learning 178

Machine Learning Algorithm Neural Network Artificial Intelligence 178

Towards AI

FEBRUARY 21, 2024

Explore my journey in tackling a multi-objective constrained optimization problem to achieve assortment reduction without losing customers and revenue using genetic algorithms and machine learning.Source : Dall-E In retail, assortment planning is critical. Join thousands of data leaders on the AI newsletter.

Machine Learning 109

Machine Learning Algorithm AI AI 109

IBM Journey to AI blog

JUNE 29, 2023

A retail company experiences a sudden surge in online sales due to a viral social media campaign. By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue.

Data Integration 207

Data Integration Business Intelligence Automation ETL 207

IBM Journey to AI blog

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Generative AI 305

Generative AI AI AI AI Tools 305

IBM Journey to AI blog

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The app heavily encrypts all user financial data.

Automation 217

Automation Explainability Artificial Intelligence Artificial Intelligence 217

IBM Journey to AI blog

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Automation 220

Automation Big Data Artificial Intelligence Artificial Intelligence 220

IBM Journey to AI blog

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Conversational AI 263

Conversational AI Chatbots NLP AI 263

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 210

Data Science Data Scientist Machine Learning Data Mining 210

IBM Journey to AI blog

JANUARY 16, 2024

This will likely involve collaboration between the product design team, project management, sales, and other departments as the business creates a detailed roadmap for how the new product will be built and deployed. It involves the regular collection of data to analyze how products reflect an organization’s broader business goals.

Software Development 206

Software Development 206

Mlearning.ai

MAY 15, 2023

Photo by Andrew Neel on Unsplash Introduction If you are working or have worked on any data science task then you definitely used pandas. So, pandas is a library which helps with performing data ingestion and transformations. apply(lambda x: x.year) df.groupby('year')['Sales'].mean() Yearly average sales.

Data Ingestion 52

Data Ingestion LLM Data Science OpenAI 52

Marktechpost

JUNE 16, 2023

Retailers have varying requirements, though. Is there a Christmas sale going on? TinyEinstein can Automate key marketing activities , Create on-brand emails , and Send automated emails; tinyEinstein AI can help you increase sales by sending targeted and timely emails to your customers, and many more benefits. Try it today!

AI Tools 95

AI Tools Artificial Intelligence Artificial Intelligence AI 95

Heartbeat

JUNE 13, 2023

Source: P ixabay Manufacturers and retailers today face several obstacles when protecting their bottom line. Increased internet competition and other factors like shrinkage have stressed retail store earnings. Also, these techniques can be costly, which is a problem for small merchants or retailers.

Computer Vision 52

Computer Vision Deep Learning Automation Algorithm 52

DataRobot Blog

AUGUST 18, 2022

The retail marketplace has become increasingly complex and competitive. Keeping pace with the connected consumer, embracing emerging trends in shopping, or staying ahead of the competition—these challenges bear down on retailers and manufacturers greater than ever before. AI in Supply Chain Management.

AI 98

AI AI Machine Learning Automation 98

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

Pickl AI

DECEMBER 14, 2023

The blog delves into their applications, emphasizing real-world examples in healthcare, finance, retail, and technology. From predicting patient outcomes to optimizing inventory management, these techniques empower decision-makers to navigate data landscapes confidently, fostering informed and strategic decision-making.

Data Analysis 52

Data Analysis Big Data Data Scientist Data Science 52

IBM Journey to AI blog

FEBRUARY 12, 2024

Beauty retail giant Sephora is known for their Beauty Insider Program. Along with optimized search, the help center includes blogs, FAQs, contact information, and topic level organization. Using data, companies can implement hyper-personalization into their CX strategy.

Generative AI 193

Generative AI Artificial Intelligence Artificial Intelligence AI 193

IBM Journey to AI blog

NOVEMBER 10, 2023

Some organizations are even considering cloud repatriation or a move back to a data center-first approach. In this blog, we’ll look at five simple ways to optimize spend with IBM Turbonomic — a hybrid cloud cost optimization platform and the “Ops” in FinOps — while still leveraging the elasticity of the cloud.

Automation 188

Automation Machine Learning AI AI 188

DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. Monitoring and Managing AI Projects with Model Observability. Accelerating Value-Realization with Industry Specific Use Cases.

Big Data 96

Big Data Data Drift AI AI 96

Pickl AI

JUNE 25, 2023

With the large volume of data that we’re creating, it has become integral for companies to harness this information accurately and use it in strategizing their policies. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future. Digitization has massively impacted the world.

Machine Learning 52

Machine Learning Data Science Business Intelligence Data Mining 52

Pickl AI

APRIL 12, 2023

Introduction Structure Query Language (SQL) is one of the critical programming languages that is used for managing & manipulating data in relational databases. When working as a Data Analyst, one must query, filter, sort, aggregate & perform complex calculations on data.

Data Analysis 59

Data Analysis AI AI 59

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Apply the trained model to make predictions of future events.

Machine Learning 112

Machine Learning DevOps Data Quality Data Scientist 112

Google Research AI blog

APRIL 20, 2023

Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series forecasting is an important research area that is critical to several scientific and industrial applications, like retail supply chain optimization, energy and traffic prediction, and weather forecasting. a quarter or year away at daily granularity).

Neural Network 97

Neural Network Natural Language Processing Deep Learning NLP 97

IBM Journey to AI blog

MARCH 29, 2024

Make an excellent product Ultimately, the initial battle for customer loyalty depends on whether the product or solution they buy directly or from a retailer is worth the money they spent. Collect customer feedback Collect, analyze and distribute customer data through reviews and surveys. The calculation is that simple.

Natural Language Processing 162

Natural Language Processing Artificial Intelligence Artificial Intelligence Generative AI 162

ODSC - Open Data Science

MAY 3, 2023

This is where media mix modeling (MMM) comes to the rescue, helping businesses understand and optimize the impact of different media channels on sales. In this blog, I will provide a quick overview of media mix modeling and how you can get started with it. What data is needed? What is Media Mix Modeling (MMM)?

Data Science 52

Data Science Python AI AI 52

Pickl AI

JUNE 16, 2023

Introduction We live in a data-driven world, and data analytics plays a critical role in analysing consumer behaviour and optimizing business strategies. Market Basket Analysis in Python involves data mining technique that helps retailers increase sales by unfolding the details of customer purchasing patterns.

Python 52

Python Data Mining Algorithm AI 52

Chatbots Life

MAY 15, 2023

Basically, Generative AI is a branch of AI that generates various types of data, such as audio, images, text, code, and more, using existing data as inspiration and creating new outputs. Generative AI is creating a lot of excitement due to its versatility in creating content, art, music, and augmenting data.

Generative AI 98

Generative AI Chatbots AI AI 98

Pickl AI

AUGUST 28, 2023

In a Power BI Heatmap, the darkest colour sports represent the highest data density which are followed by lighter shades, equally portionate to the density. Key Features of Power BI: Power BI is a powerful business intelligence tool developed by Microsoft that enables users to visualize and analyze data from various sources.

Data Analysis 52

Data Analysis Business Intelligence AI AI 52

ODSC - Open Data Science

JUNE 15, 2023

Why Data Security is Critical to Creating Effective AI Programs Traditional data security approaches fail to account for malicious attacks targeting AI initiatives. In no particular order, here are 3 reasons why data security is critical to building effective AI programs.

Data Scientist 52

Data Scientist Neural Network Data Science Generative AI 52

AWS Machine Learning Blog

APRIL 12, 2023

Globally, many organizations have critical business data dispersed among various content repositories, making it difficult to access this information in a streamlined and cohesive manner. Prepare your S3 bucket as a data source To prepare an S3 bucket as a data source, create an S3 bucket. For Data type , choose String.

Metadata 88

Metadata Software Engineer Algorithm ML 88

How to Learn Machine Learning

DECEMBER 2, 2022

In this blog, we will have a look at 6 AI trends that will dominate the tech charts in 2023. 1 Retail Sector Automation Machine Learning models are capable of helping enterprises in increasing the quality of assortment planning and reliability of delivery. . #1 Retail stores can select the level of AI automation they want.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Automation 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

AWS Machine Learning Blog

APRIL 24, 2023

According to a PWC report , 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their purchase decisions. In the global retail industry, pre- and post-sales support are both important aspects of customer care.

ML 62

ML NLP Machine Learning ETL 62

Defined.ai blog

AUGUST 23, 2023

Every piece of data adds to the picture, providing insights that can lead to innovation and efficiency. Among these puzzle pieces, marketing data stands out as a valuable component. What is Marketing Data? That’s the power of marketing data in your hands. Ready to dive in?

Machine Learning 52

Machine Learning Data Quality Artificial Intelligence Artificial Intelligence 52

Unite.AI

APRIL 23, 2024

As e-commerce continues to dominate the retail landscape, leveraging the power of artificial intelligence has become essential for optimizing online stores and maximizing sales. By leveraging the power of AI, Octane AI enables you to create beautiful and powerful quizzes that recommend products, grow subscribers, and increase sales.

AI Chatbots 241

AI Chatbots AI AI Chatbots 241