Remove B2B Remove Deep Learning Remove Measurement
article thumbnail

AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels.

B2B 64
article thumbnail

Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

B2B 105
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Explainer: Building a high-performing last-mile delivery software

CIO Business Intelligence

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

Software 111
article thumbnail

Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

A majority of online casinos have also started accepting various cryptocurrencies as payments and many B2B gaming providers have been heavily investing in crypto gaming to meet with the rising demand. Not using AI for predicting crypto price movements can be an extremely risky measure in the current financial climate.

article thumbnail

Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

Ontotext

We use other deep learning techniques for such tasks. Reference data used to classify or categorize other data, including units of measure, codes, as well as controlled vocabularies of terms and taxonomies of topics. That’s something that LLMs cannot do.

article thumbnail

Educating a New Generation of Workers

O'Reilly on Data

Course completion The median course completion percentage on the O’Reilly platform is similar for B2B users and B2C users, and roughly matches industry standards. The previous graph includes all users of the O’Reilly learning platform. What can we see if we look at B2B and B2C users separately? The Pearson correlation is 0.8,

B2B 275