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Put AI to work to deliver exceptional employee experiences
Organizations are reshaping business operations and unlocking workforce performance with GenAI. In fact, 90% of business leaders believe that these productivity gains could even reduce employee stress and burnout.
The business case for low code: 4 strategies for AI-Led innovation
Experts predict that 750 million apps will need to be created by 2025—while battling a shortage of 4 million developers. Businesses need a way to innovate faster and at scale. Enter AI-powered low-code app development. See how developers of all skill levels can simplify, streamline, and scale app development for maximum ROI.
10 insights for leaders on AI-driven employee experiences
More than 800 employee service leaders from 17 countries were surveyed about managing distributed teams, empowering employees with AI-powered tools, enhancing remote IT support, and much more. 46% of leaders said implementing new tools and tech was a top business priority and 81% agree that implementing self-service tools leads to a significant increase in employee satisfaction.
3 Ways AI Bolsters Employee Productivity and Satisfaction
AI has changed both the way employees work and the tools organizations must offer them to effectively address their evolving needs in today’s distributed workforce. In fact, 79% of employee service leaders surveyed believe that providing employees with AI tools is key to gaining a competitive edge.
CX Trends Report 2025
Discover how to get ahead of your peers with human-centric AI We all know AI is playing a bigger role in CX, but not everybody knows how to leverage these revolutionary tools to their organization’s advantage.
2025 Financial Services AI + Data Predictions: The Trends, Headwinds and Opportunities for the Year Ahead
Prepare your organization for the new year by joining technology leaders from Accenture, BNY and Snowflake as they discuss the priorities for financial organizations implementing enterprise AI.
Case study: Cisco chooses Elastic to power its enterprise search platform
Cisco’s team of over 11,000 customer support engineers required a more efficient process to handle nearly two million service requests annually and ensure real-time support for customer issues. A modern, search AI experience was the answer. With Elastic’s integrated, advanced search capabilities, Cisco.com users now receive detailed, easy-to-consume results with direct links to relevant content.
Case study: Labelbox reduced search response times from 20 seconds to 1 second
Labelbox built a customizable AI platform on Elastic designed to enhance training data quality and model performance for their Catalog solution, helping AI teams accelerate machine learning development. After the deployment of Elasticsearch, search times improved drastically to about one second, enabling complex searches and sophisticated analytics for better data curation decisions.
