The Junction

What if an AI chatbot could answer employee questions and surface information from across data sources at your company acting as a single knowledge base? 😯

We’ve all been there before: you have a question about a certain process or policy at your company but have no clue where to look. Maybe you know someone who has an answer but don’t want to bother them. Even worse, you’ve worked for the company for years and feel like you should already know the answer.

On this episode of The Junction, Mel and Chase dream about training AI with a company’s intranet, handbook, or single source of truth. This comes with a variety of benefits including enhanced employee training and easier access to internal information.

Featured in this episode:

• Using AI to build a company knowledge base that can answer employee questions in real-time
• Gaining important insights from most-asked employee questions
• Estimated costs and time to implement an AI knowledge base system
• Training large language models to avoid hallucinations, consider ethical boundaries, and gauge permission controls

Have a question or topic on AI or automation that you want to learn more about? We’re all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

"It's not just the AI piece, it's the junction of AI & automation together that gives you much more efficiency so your team can do more."

Most companies today have used some form of automation. However, now that artificial intelligence is more accessible, organizations can achieve more value and insights in less time by combining AI solutions with their automated processes.

In this episode of The Junction, Mel and Chase talk about using AI & automation to supercharge sales pipelines.

Here are some topics we explore during the episode:

• Using AI to summarize calls, analyze sentiment, and identify opportunities
• Automating the process of sharing call summaries & highlights with teams
• Connecting systems like Salesforce, HubSpot, etc. to provide more data/context to AI

Have a question or topic on AI or automation that you want to learn more about? We’re all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

In this episode, we're learning how to train your own AI language model by watching the movie How To Train Your Dragon—just kidding.

Before we jump into it, what exactly is an AI language model? Also known as large language models (LLM), they are deep learning algorithms that recognize, summarize, predict, translate, and generate content using large datasets.

In other words, language models help AI learn from the information you provide it so it can respond back in a human-like manner.

A few things we talk about in today's episode:

• The kinds of datasets you should use to train a language model
• How much data is needed to train a language model
• Leveraging ChatGPT to help during the training process
• Things to avoid and be aware of when training AI

Have a question or topic on AI or automation that you want to learn more about? We’re all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

If your organization has considered using some of the latest AI tools, like ChatGPT or OpenAI, it might be worth considering the creation of new employee policies on how artificial intelligence can be used.

In this episode of The Junction, Mel and Chase dive into some specifics on how to prepare the workforce for artificial intelligence:

• Training staff on AI concepts (ie. bias & hallucinations)
• Basic guidelines for using artificial intelligence safely
• The difference between paid & unpaid AI tools

Have a question or topic on AI or automation that you want to learn more about? We’re all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected] 

If you’re a marketer, you’ve probably been wondering lately... is AI going to replace my role? In this episode, we’re diving into how artificial intelligence is helping (and hurting) marketing professionals.

Mel, a marketer herself, and Chase discuss:

 • Why marketers should learn how to use AI as soon as possible
 • Using AI to create a more personalized customer experience
 • Cautionary tales about using AI-generated content for SEO
 • Leveraging AI and CRM capabilities to enhance marketing campaigns
 • Why original content is the new king

Have a question or topic on AI or automation that you want to learn more about? We’re all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

As AI continues to evolve and reshape various industries, we ask the question: Is there a place for AI in sales? In this episode, we explore the benefits, challenges, and ethical considerations of integrating AI into the sales process. Like a lot of what I'm learning about AI and it's capabilities, it may just change your perspective on the future of sales.

We talk about the risks and benefits as well as use cases, including:

• Automating repetitive sales tasks so reps can focus on relationships
• Using AI to quickly mine sales data and create targeted content
• Rewriting emails with AI to improve open/click rates
• Ethical considerations for sales teams
• AI's value in providing quick insights into sales questions
• Concerns around replacing human skills

Have a question or topic on AI or automation that you want to learn more about? We're all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

According to a recent report by McKinsey, about half of the activities carried out by workers could be automated. In this episode, we chat about what AI can (and can't!) actually do right now. Spoiler: it's not taking over the world just yet. 

Per usual, we cover a range of use cases and their pros and cons, including:

• How AI can generate images, text, and content based on prompts, but struggles with more creative, subjective, or nuanced tasks
• What this means for originality when it comes to content production
• The growing capabilities for certain analytical and data-driven applications
• Whether AI weather bots will ever perfectly predict our morning commutes

Have a question or topic on AI or automation that you want to learn more about? We're all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

In this episode, we explore how AI and automation can supercharge recruiting and HR workflows with meaningful insights around hiring and onboarding. More specifically, we banter about:

• How AI can automate repetitive tasks, such as note-taking during interviews (freeing up HR professionals and hiring managers to focus on more meaningful interactions with candidates)
• The potential for AI in enhancing the employee experience
• Optimizing off-boarding processes
• Gaining valuable insights from exit interviews

Have a question or topic on AI or automation that you want to learn more about? We're all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]

This episode explores ways AI and automation are transforming finance functions, and why CFOs should be paying attention. We'll discuss the benefits and challenges of implementing AI and automation in finance departments and provide insights into successful case studies.

Many CFOs are not yet using AI, with 60% in a recent poll saying they don't use it. With this data in mind, we explore what are people afraid of, use cases that can be implemented now, and what's trending in the headlines. We also hit on:

• Opportunities for finance teams in areas like risk management, compliance, customer retention, and staff retention/augmentation
• Challenges with implementing AI include job displacement, staffing shortages, embedded bias, cybersecurity threats, and data privacy concerns
• Practical applications for AI in the workplace, include generating emails, presentations and financial summaries

Have a question or topic on AI or automation that you want to learn more about? We're all ears—literally 🎧

Shoot us an email and let us know what we should talk about next: [email protected]