Epoch | AI-Powered Employee Experience

AI-Powered Employee Experience

Brendan, CX Lead at Epoch, Keith, Co-Founder and COO at Epoch, and Meg, CX Lead at Epoch led an insightful workshop on using AI to power employee experience.

Definition & history of AI

Artificial intelligence (AI) refers to the branch of computer science dedicated to creating machines that can think and reason like humans, without the limitations of the human mind. AI includes capabilities such as speech and image recognition, language translation, decision-making, and data analysis.

Brief timeline

In the mid-20th century, science fiction and early technological explorations introduced the first notions of AI. Researchers officially found the field of artificial intelligence in the summer of 1956 at a workshop at Dartmouth College which laid the groundwork for AI's development over the next two decades. Their ideas attracted significant government investment, eager to transform these concepts into reality. However, by the mid-1970s, restricted funding abruptly halted AI research progress which led to a period known as the AI winter.

From the late 1990s to the 2010s, technological advancements reignited interest in AI research, sparking the emergence of new projects and innovations. Currently, the availability of cost-effective computing power, extensive data collection, and novel methodologies is driving a resurgence of interest and investment in AI, resulting in a significant boom in AI development.

The current state of AI

The main forms of AI are machine learning, natural language processing, and computer vision, often used together in various applications.

Fast facts

Five steps to prepare your organization for generative AI from Salesforce

1. Start experimenting to understand the technology

Begin by learning how AI works. Experiment with prompts: you send a prompt to a large language model and receive a result. Better prompts lead to better outcomes.

2. Identify your use case

Identify what AI excels at, such as generating content, translating text, and summarizing information. Look for use cases that fit these capabilities, such as summarizing customer calls, generating personalized outreach emails, or translating comments into working code.

3. Prepare your data for AI

To achieve specific results, create detailed prompts. Clean your data to ensure accuracy and develop tools to embed this data into AI prompts.

4. Evaluate the risks

Generative AI poses risks, such as sharing sensitive data. Mask your data before use and consider where prompts are sent to ensure data security. Implement a trust layer with AI to maintain confidentiality.

5. Integrate and refine the results

Integrate AI results into business processes and measure their impact. Map prompts to specific actions and continuously refine your approach for better outcomes.

How AI can improve engagement at your organization

The workshop asked, how can AI enhance and streamline your role in workplace or employee experience, and improve overall employee engagement and communication within your organizations? This is what attendees came up with:

Project management
Task management
Communication
Connecting employees
Onboarding buddy
Summarizing information
Creation and content development
Engagement and events

Key takeaways

  1. AI involves creating machines that perform tasks requiring human-like intelligence, such as speech recognition, language translation, and decision-making.

  2. Prepare for generative AI by experimenting with technology, identifying use cases like content generation and text translation. Clean and prepare data, ensuring accuracy and integrating it effectively.

  3. AI can boost employee engagement by automating tasks, personalizing feedback, enhancing communication, facilitating connections, summarizing information, and recognizing achievements.

How Epoch can help

Do you want to get hands on with AI within your workflow? We can help. Book a demo today!