Artificial Intelligence, Examples, Manufacturing and Retail

Data monetization: driving the new competitive edge in retail

CGI

DECEMBER 9, 2019

Data monetization: driving the new competitive edge in retail. Retailers are fully aware that their future relies largely on their ability to use data efficiently. However, in today’s dynamic and highly competitive retail sector, retailers need to accelerate their plans and commit resolutely to the path of data monetization.

Retail

Retail Sales Customer Experience Artificial Intelligence

The customer experience evolution: Today’s data-driven, real-time discipline

IBM Big Data Hub

FEBRUARY 12, 2024

For example, McKinsey found that 50% of consumers reported they would switch brands if their preferred brand was unavailable due to shortages. How we arrived at this CX environment Early days of retail Before mass media, it was harder to know what other products were available outside of the ones offered by the local store.

Customer Experience

Customer Experience Retail Artificial Intelligence Manufacturing

The most valuable AI use cases for business

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

Artificial Intelligence

Artificial Intelligence Retail Unstructured data Insurance

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

FEBRUARY 7, 2024

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Retailers, particularly in the fashion industry, are increasingly embracing circular business models: rental and resale programs offer opportunities for growth, while repair services offer an alternative to landfill disposal.

Artificial Intelligence

Artificial Intelligence Risk Agriculture Government

AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

MAY 17, 2024

Recent advancements in artificial intelligence (AI) are transforming commerce at an exponential pace. To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. Experience building strategies like these have been  used by online retailers for years.

B2C

B2C B2B Customer Experience e-Delivery

Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

DECEMBER 19, 2023

For example, higher than average traffic on a website or application for a particular period can signal a cybersecurity threat, in which case you’d want a system that could automatically trigger fraud detection alerts. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Unstructured data

Unstructured data Artificial Intelligence Sales Manufacturing

Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

FEBRUARY 19, 2024

A 2023 survey found that a third of businesses are using artificial intelligence (AI) to improve resource and supply chain planning, and more than a third said using digital tools for inventory management was the most effective strategy in cutting overall supply chain costs.

Blockchain

Blockchain Analytics Artificial Intelligence Marketing

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data science

Data science Analytics Unstructured data Artificial Intelligence

Leaders need the technical detail

MIKE 2.0

OCTOBER 28, 2017

Good examples of changes that are coming with more that is unknown than known include cyber currencies, blockchain, quantum computing, artificial intelligence, smart cities, augmented reality and additive manufacturing. Ambit claims are being thrown around which may or may not be true.

Artificial Intelligence

Artificial Intelligence Blockchain Retail Manufacturing

Moving from the supply chain to the “demand chain” to meet customer needs

CGI

OCTOBER 29, 2019

Manufacturers and retailers face a major challenge to put the customer at the heart of their supply chain. E-commerce and m-commerce, for example, generate a continuous surge of flows and volume across multiple sales channels. Moving from the supply chain to the “demand chain” to meet customer needs. ravi.kumarv@cgi.com.

Artificial Intelligence

Artificial Intelligence Manufacturing Retail IoT

The Economy of Things: the next value lever for telcos

IBM Big Data Hub

JULY 11, 2023

Register for our LinkedIn Live event on telcos and the Economy of Things The Economy of Things has arrived The EoT is enabled by artificial intelligence, data, IoT and blockchain, bringing liquidity to the IoT. And what is the role telecommunications service providers play in enabling and scaling the EoT?

IoT

IoT Artificial Intelligence Agriculture Blockchain

Supporting you and your profession through the CILIP community

CILIP

DECEMBER 1, 2021

Want to develop your skills, for example in digital or data? Examples of recent events delivered by the CILIP community for our members include: Working from home ? Interested in making a career move into a new sector? Got a question to put to the community? We can help! Be part of your CILIP Community. lightning talks?

Libraries

Libraries Artificial Intelligence Access Retail

Your journey starts here ? achieving success with CILIP

CILIP

AUGUST 20, 2021

Want to develop your skills, for example in digital or data? Examples of recent events delivered by the CILIP community for our members include: ?Working Artificial intelligence and the information professions? Interested in making a career move into a new sector? Got a question to put to the community? We can help!

Libraries

Libraries Artificial Intelligence Access Retail

#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

JULY 2, 2019

It’s the classic garbage in garbage out, but it is even more important now as we move into the real drive towards machine learning and artificial intelligence. One example is a project I did at Boots who are famous for 3-for-2 promotions. Particularly the data governance side is beginning to be seen as really important.

Analytics

Analytics Insurance Artificial Intelligence Data science

#ModernDataMasters: Michele Chambers, AWS

Reltio

JULY 31, 2019

Advanced analytics, or artificial intelligence (AI), still has a ways to go. You have to infuse your data with new data – use behavioural and operational data together for example – if you want new insights. People don’t really understand it yet in terms of its application to business.

Analytics

Analytics Blockchain Cloud Artificial Intelligence

Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

SEPTEMBER 13, 2023

Organizations can mitigate this scenario by leveraging advanced analytics, artificial intelligence (AI) and machine learning (ML) to build next-generation capabilities today. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world. This is especially important in customer interactions.

Digital transformation

Digital transformation Unstructured data Artificial Intelligence Cloud

How to choose the best AI platform

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. trillion in value.

Data science

Data science Manufacturing Artificial Intelligence Retail

The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

MAY 15, 2024

For example, fully managed deployments on IBM Cloud enable users to take a hands-off approach with a serverless service and benefit from application efficiencies like automatic maintenance, updates and installation. With data residing in various disparate locations, data integration tools have evolved to support multiple deployment models.

Cloud

Cloud Manufacturing Risk Compliance

What are the different types of sourcing?

IBM Big Data Hub

JANUARY 31, 2024

Businesses now look beyond offshore outsourcing and labor arbitrage, instead leveraging artificial intelligence (AI) and automation to create efficiencies and modernize processes. For example, supply chain disruptions are difficult to predict. This has fundamentally changed the outsourcing market.

Marketing

Marketing Manufacturing Artificial Intelligence Sales

Kofax advances enterprise-wide deployment of next-generation robotic process automation to rapidly and exponentially scale the digital workforce

Info Source

NOVEMBER 14, 2018

London, UK November 14, 2018 – Kofax® , a leading supplier of Intelligent Automation software to automate and digitally transform end-to-end business processes, today announced Kofax RPA’s next-generation robotic process automation (RPA) capabilities that leverage artificial intelligence (AI) and machine learning (ML).

Artificial Intelligence

Artificial Intelligence B2B Digital transformation Marketing

Network Protection: How to Secure a Network

eSecurity Planet

MARCH 22, 2023

Application Access: A retail website can make more requests than human users on any resource. For example, a laptop missing critical security updates, a jail-broken tablet, or a wi-fi enabled refrigerator connected in the break room without permission. API calls on related applications (shopping carts, databases, etc.)

Security

Security Cloud Encryption Access

Take advantage of AI and use it to make your business better

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence (AI) adoption is here. In fact, the use of artificial intelligence in business is developing beyond small, use-case specific applications into a paradigm that places AI at the strategic core of business operations.

Artificial Intelligence

Artificial Intelligence IT Customer Experience Government

Information Management Today

Data monetization: driving the new competitive edge in retail

The customer experience evolution: Today’s data-driven, real-time discipline

Webinars

Trending Sources

The most valuable AI use cases for business

Webinars

Sustainability trends: 5 issues to watch in 2024

AI in commerce: Essential use cases for B2B and B2C

Anomaly detection in machine learning: Finding outliers for optimization of business functions

Streamlining supply chain management: Strategies for the future

Data science vs data analytics: Unpacking the differences

Leaders need the technical detail

Moving from the supply chain to the “demand chain” to meet customer needs

The Economy of Things: the next value lever for telcos

Supporting you and your profession through the CILIP community

Your journey starts here ? achieving success with CILIP

#ModernDataMasters: Martin Squires, The Analysis Foundry

#ModernDataMasters: Michele Chambers, AWS

Companies need help making the dream of digital transformation a reality

How to choose the best AI platform

The power of remote engine execution for ETL/ELT data pipelines

What are the different types of sourcing?

Kofax advances enterprise-wide deployment of next-generation robotic process automation to rapidly and exponentially scale the digital workforce

Network Protection: How to Secure a Network

Take advantage of AI and use it to make your business better

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