AI for customer service

AI for customer service manifests itself in numerous use cases, including customer sentiment analysis, automated chatbot conversations, and automated authoring of suggested live-agent answers to customer questions. AI tools can analyze questions posed online and match other agents' most effective solutions to them. Read about these and other use cases for AI in customer support.

Feature 09 Nov 2022
AI-powered CRM platforms compared

CRM vendors can apply fundamental AI capabilities in various ways. Learn about the similarities and differences between AI functionality in the major CRM platforms. Continue Reading
Tip 03 May 2022
Best practices for initiating chatbot-to-human handoff

Contact centers perform a balancing act between AI and human agents. Support teams must train bots on chatbot-to-human handoffs and design AI aware of customer frustration. Continue Reading

4 important skills of a knowledge management leader
KM programs need a leader who can motivate employees to change their routines. This leader needs a long-term mindset and the ...
What does a knowledge management leader do?
Knowledge management teams often include IT professionals and content writers. But at the head, they need a central leader to ...
5 integrations for your CMS
To get the most out of a content management system, organizations can integrate theirs with other crucial tools, like marketing ...

UCaaS vs. CCaaS vs. CPaaS: What's the difference?
It can be difficult to make sense of popular cloud communications service models. Compare UCaaS vs. CCaaS vs. CPaaS to understand...
Cisco generative AI heads to Security Cloud, Webex
Cisco plans to release generative AI features in the Webex platform and Security Cloud this year. Together, the products tighten ...
Explore UCaaS architecture options and when to choose them
The first step to a UCaaS migration is choosing the deployment architecture. Learn how to choose which UCaaS architecture best ...

Data Management

How to create a data quality management process in 5 steps
Data quality requires accurate and complete data that fits task-based needs. These five steps establish a data quality management...
Ascend.io, Databricks integration improves data visibility
The update includes support for Databricks' Unity Catalog to enable joint customers to better organize and view datasets that can...
Snowflake launches Government & Education Data Cloud
The industry-specific platform is the vendor's seventh and includes data sets and other pre-built capabilities to meet the needs ...

Enterprise AI

Artificial intelligence vs. human intelligence: How are they different?
Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three...
AI startup Cohere raises $270 million from big tech vendors
The new funding comes as the generative AI market grows rapidly and investors pour money into companies that build foundation ...
U.S. doesn't need a new AI regulator, experts argue
Instead of establishing a new AI regulator in the U.S., it's crucial for existing agencies to conduct a review and determine ...

ERP

ERP vs. BPM: Which is best for your company?
Some companies may need BPM software to supplement their existing ERP system. Learn more about ERP vs. BPM and how these tools ...
SAP AI initiatives expand on several fronts at Sapphire 2023
TechTarget editors discuss SAP AI announcements and demos unveiled at Sapphire 2023 conferences in Orlando and Barcelona, ...
8 ideas for increasing warehouse sustainability
Warehouses can make up a major part of a company's carbon emissions. Learn some ideas for how warehouse owners and operators can ...

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