AI Training for the Workplace: Why you and your team should Learn AI in the Workplace

Dec 21 / Shane Garry

Introduction: AI Fundamentals Reshaping Businesses of All Sizes

Imagine walking into your office to find your inbox prioritised, your schedule optimised, and a report you've been dreading is already drafted. Sound like science fiction? Welcome to the AI-powered workplace of today. While AI might seem like the playground of tech giants, it's increasingly accessible to businesses of all sizes. A recent study by PwC found that AI could contribute up to $15.7 trillion to the global economy by 2030 [1]. But here's the million-pound question: How can your team, without a dedicated IT department or data scientists, harness this AI revolution?

Starting at the start. What is AI? 

Artificial Intelligence might sound like rocket science, but let's break it down into bite-sized pieces:

Machine Learning (ML): The Tireless Student

Think of ML as an intern that never sleeps. It devours data, spots patterns, and gets smarter over time. In the real world, ML is why your favourite online shop seems to read your mind with its product recommendations.

Natural Language Processing (NLP): The Linguistic Genius

NLP is like having a universal translator in your pocket. It's why you can chat with a customer service bot at 3 AM and (mostly) get the help you need.

Computer Vision: The Eagle Eye

This is AI's set of super-powered eyes. It's what allows a small manufacturer to spot defects on a production line with incredible accuracy.

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AI in Action: Real-World, Magic for Teams of All Sizes

  1. Marketing Marvels: While Coca-Cola used AI for its "Create Real Magic" campaign [2], smaller businesses are leveraging AI too. A local bakery can now use a no-code AI-powered tool to analyse social media trends, helping them predict seasonal flavour preferences and analyse historical order data to help cut down on waste.
  2. HR Heroes: Unilever may have used AI to revolutionise its hiring process [3], but mid-sized companies are benefiting too. It is not without the realms of possibility now for a 200-employee tech firm to use an AI recruitment tool or setup a bespoke workflow to significantly reduce time-to-hire and improve candidate quality. AI has never been more accessible for smaller companies. The first step? Learn about AI.
  3. Finance Wizards: JPMorgan Chase's AI reviews complex loan agreements [4], but AI isn't just for big banks. A mid-sized accounting firm can now use AI-powered software to automate data entry and reconciliation, potentially freeing up 25% of their accountants' time for higher-value tasks.

Embracing AI: Your Team's Game Plan

Ready to join the AI party? Here's your roadmap:

Develop an AI Mindset across the whole team 🧠
Instead of asking "Will AI take our jobs?", try "How can AI make our team more effective?". What human skills can you polish that AI can't replicate? (Hint: Creativity and emotional intelligence are good bets). Start this focussed discussion in AI Skill Circle's community feature.

AI Tools for Beginners 🛠️
Ever used a photo filter? Congratulations, you've already used AI! Now, let's level up. Slowly start to experiment with tools to see what's out there:
Content Creation: Give tools like Jasper or Copy.ai a spin
Data Analysis: Dip your toes with Microsoft Power BI or Google Data Studio or use techniques from AI Skill Circle's courses to analyse data with tools like Chat GPT while not sacrificing privacy.
Task Automation: Let Zapier or IFTTT be your new best friends. We have some preprepared workflows in our community.

Register interest above to join the AI Learning Revolution 🤓
Dive into AI Skill Circle's micro-learning courses as a team. Start the AI conversation in each of your businesses functions! Identify your early adopters and start experimenting. Who knows, you may find a way to innovate your offering, find efficiencies or at the very least get everyone on the same page when it comes to responsible AI use. 👇

The Ethical AI Tightrope: Walking the Line

As Spider-Man's uncle said, "With great power comes great responsibility." As you embrace AI, keep these in mind:

1. Data Privacy: If AI were a person, would you trust it with your diary?
2. Algorithmic Bias: Remember, AI learns from us. Our biases can become its biases if we're not careful [5].
3. Transparency: Can you explain how your AI reached a decision? If not, it might be time to dig deeper [6].

Do your employees grasp the subtleties of AI usage? 👆

Register interest for AI Skill Circle above and let's have a chat.

Your Team's AI-Powered Future: What's Next?

AI isn't just changing individual roles; it's rewriting the playbook for entire teams. By mastering AI fundamentals and practical applications, your team can leap from AI-curious to AI-powered, regardless of your company's size.

So, are you ready to upgrade your team to version 2.0? Don't let the AI train leave without you. Register above for early interest in AI Skill Circle's "AI in the Workplace" courses today. Our self-paced, high-quality micro video, communal courses are like a GPS for navigating the AI landscape, showing you how to safely and effectively use AI in your specific roles.

Remember, in the world of AI, the early bird doesn't just catch the worm—it teaches the worm to catch itself. Join the ranks of AI-savvy professionals leading the charge in this new era of work. Learn AI with your team and don't look back!

Sources

PwC. (2017). Sizing the prize: What's the real value of AI for your business and how can you capitalise? https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf

The Coca-Cola Company. (2014). Share a Coke: How the Groundbreaking Campaign Got Its Start 'Down Under'. https://www.coca-colacompany.com/media-center/coca-cola-harnesses-power-of-ai-to-deliver-holiday-magic

Marr, B. (2018). The Amazing Ways How Unilever Uses Artificial Intelligence To Recruit & Train Thousands Of Employees. Forbes. https://www.forbes.com/sites/bernardmarr/2018/12/14/the-amazing-ways-how-unilever-uses-artificial-intelligence-to-recruit-train-thousands-of-employees/

Son, H. (2017). JPMorgan Software Does in Seconds What Took Lawyers 360,000 Hours. Bloomberg. https://www.bloomberg.com/news/articles/2017-02-28/jpmorgan-marshals-an-army-of-developers-to-automate-high-finance

Gershgorn, D. (2018). Companies are on the hook if their hiring algorithms are biased. Quartz. https://qz.com/1427621/companies-are-on-the-hook-if-their-hiring-algorithms-are-biased/

Goodman, B., & Flaxman, S. (2017). European Union regulations on algorithmic decision-making and a "right to explanation". AI Magazine, 38(3), 50-57. https://doi.org/10.1609/aimag.v38i3.2741