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AI

BigPanda's Resources for Navigating Change Through the AI Revolution

AI has revolutionized the way we engage online in 2023. From Chat GPT and AI Art Generators to healthcare, finance, and business, you can hardly read the news without reading the latest proclamation of how AI is poised to change every aspect of our lives. AI has brought fundamental changes to how we live and work, and we’re still scrambling to understand the impacts of these changes. Especially where their work is concerned, change can be difficult for people to embrace.

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Operationalizing AI: MLOps, DataOps And AIOps

Originally posted on Forbes Technology Council As organizations increasingly embark on their digital transformation journey, IT is turning into a profit center, rather than a cost center. CIOs (chief information officers) are more than often referred to as chief innovation officers. New roles like chief data officer and chief analytics officer are rising to prominence. AI and data are at the center of this transformation, as CxOs are faced with daunting challenges in.

IDC Market Perspective published on the Elastic AI Assistant

IDC published a Market Perspective report discussing implementations to leverage Generative AI. The report calls out the Elastic AI Assistant, its value, and the functionality it provides. Of the various AI Assistants launched across the industry, many of them have not been made available to the broader practitioner ecosystem and therefore have not been tested. With Elastic AI Assistant, we’ve scaled out of that trend to provide working capabilities now.

Behind the Scenes: Mattermost OpenOps AI Mindmeld | July 27, 2023

Tune in for a behind-the-scenes discussion on the advancement of Mattermost's AI tools and how they're being integrated into the team's current projects. The main topics covered include using AI to create tweets, the potential of using the tool to auto-generate text that resembles a user's tone, how to improve public awareness and involvement in OpenOps, and more.

Integration roundup: Monitoring your AI stack

Integrating AI, including large language models (LLMs), into your applications enables you to build powerful tools for data analysis, intelligent search, and text and image generation. There are a number of tools you can use to leverage AI and scale it according to your business needs, with specialized technologies such as vector databases, development platforms, and discrete GPUs being necessary to run many models. As a result, optimizing your system for AI often leads to upgrading your entire stack.

AI in Customer Service: Revolutionizing the Helpdesk with 10 Cutting-Edge Examples

In the bustling world of customer service, where speed, personalization, and seamless interactions reign supreme, a new technological powerhouse has emerged to transform the support landscape—Artificial Intelligence (AI). AI effortlessly adapts to the ever-changing needs of customers and businesses alike, revolutionizing the way support is delivered.