If you could work smarter, execute faster, and free up your employees to spend their time on things that ignite innovation and encourage growth, you wouldn’t hesitate. That’s why earlier this year, we released native generative AI in Slack, with powerful new features that include AI-powered search, channel and thread summaries, and daily recaps.
But even with AI built in right where you’re already working, it can be intimidating to learn how to make the leap from experimentation to true transformation.
In this report from Harvard Business Review Analytic Services, executives from across a variety of industries, including Slack and Salesforce customers, discuss how they’re using generative AI to boost productivity, innovation, and customer success. Specifically, for engineering, you’ll learn how to:
- Create realistic synthetic data to enable quick anomaly detection
- Summarize exhaustive datasets so engineers can visualize intricate processes and facilitate insights
- Empower nontechnical employees to automate parts of the analytics workflow so they can interact with data using natural language
- Inspect code for bugs and security issues, and provide suggestions that help maintain high code quality
- Accelerate the development cycle so engineers can quickly address issues and go to market faster
- Establish the leadership, talent, and culture required to increase efficiency and enhance communication