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Technology

Predictive workforce analytics: The future of support software

Liam Martin, co-founder and chief innovation officer of Time Doctor, and Michael, chief data scientist, discussed the new area of predictive workforce analytics and its ramifications for the support sector in the ‘Benchmarking helpdesk software‘ webinar. By examining information from 12,000,000 support tickets, they demonstrated how predictive analytics may completely change how businesses select and use support software. These are the main takeaways from their conversation.

Self-hosting keeps your private data out of AI models

Last week, Slack’s users realized that under the company’s terms of service, their private data could be used to train artificial-intelligence models. This came as a shock: chat messages convey sensitive company data, and LLMs(large language models, the category of AI models that includes ChatGPT) are known to leak the data they are trained on.

AI-Powered Customer Service Solutions for Managed Service Providers

The customer experience has become a critical differentiator for Managed Service Providers (MSPs) across industries. As consumers demand more personalized, efficient, and responsive interactions, the need for innovative customer service solutions has never been more pressing. Enter the transformative power of generative AI (Artificial Intelligence) in customer service, a game-changer that is redefining the way MSPs engage with their customers and deliver exceptional support.

From conversation to action: How AI-powered workflows are transforming workplace collaboration

Mattermost is at the forefront of providing a seamless platform for teams to connect and collaborate. Our AI assistant, Mattermost AI Copilot, has already proven invaluable, automating tasks and answering questions with conversational ease. But we’re envisioning a world where Copilot can do more than just chat. Today, we’re exploring an experimental fork of the Mattermost AI Copilot in a cloud demo environment.

What is customer experience? How to use AI (and more!) to boost customer loyalty | Zendesk

Discover the critical importance of customer experience and how it shapes the impression customers have of your business. Learn how to deliver good CX by heightening satisfaction and fostering long-term connections. Our 5 essential tips will help you kickstart an effective CX strategy that cultivates customer loyalty, driving lasting success and brand advocacy.

TeamSupport Launches AI Assist, a Powerful Suite of Tools for Customer Support

TeamSupport is thrilled to announce its latest suite of AI-powered tools, built to increase agent efficiency and help your team take customer support to the next level. TeamSupport’s AI Assist incorporates the latest conversational AI technology, acting as a seasoned copilot to help agents close tickets faster, bringing faster, more satisfying resolutions to customers with less tedious manual work for agents.

Miro and Microsoft: accelerating AI-powered innovation

Today’s business leaders agree that innovation is critical to survival. But fewer than 10% of companies report being satisfied with their innovation performance. If you want the advantage, you have to be speedy and agile. That’s why Miro and Microsoft are joining forces to give users the tools they need to streamline complex workflows and deliver innovative products and services to the global market.

Revolutionize Your Workflow with the New GPT Time Tracking Assistant by TrackingTime

We are thrilled to announce the launch of our latest innovation, the GPT Time Tracking Assistant by TrackingTime. This pioneering tool promises to redefine how you manage your workday. This state-of-the-art assistant employs cutting-edge AI technology to make managing time as simple as having a conversation. Whether you’re creating new tasks or filling out timesheets, this tool integrates seamlessly into your workflow, boosting your productivity effortlessly.

How we built Slack AI to be secure and private

Editor’s note: This was originally published on Slack’s engineering blog. At Slack, we’ve long been conservative technologists. In other words, when we invest in leveraging a new category of infrastructure, we do it rigorously. We’ve done this since we debuted machine learning-powered features in 2016, and we’ve developed a robust process and skilled team in the space.