How to Automate your Workforce with AI and Automation
Businesses face slow, and repetitive tasks on a daily basis. In light of this, both automation and artificial intelligence have proven essential to handle those tasks and support human labor in the workplace.
Because of platforms like Make, automation has been accessible to virtually everyone, and that’s something we’re starting to see with AI as well.
Thanks to Eden AI’s integration on Make, anyone can easily access and use AI without writing a single line of code.
In this article, we’ll cover five Make templates that prove how easy it can be to implement artificial intelligence automation at your company.
But before we get there, let’s take a moment to address the difference between AI and automation, and how they complement each other.
What is the difference between AI and automation?
Before integrating AI and automation into your business, it’s important to understand what differentiates both concepts.
Similar to an engine performing the same task repetitively, automation executes a series of instructions set by humans.
Although automation requires human supervision to effectively execute those tasks, it nevertheless minimizes human input by digitizing work.
Meanwhile, artificial intelligence imitates human intelligence and reasoning based on rules outlined by humans.
AI’s main objective is to allow machines to think and behave like humans, while automation aims at speeding up repetitive tasks with less or no human involvement.
How do AI and automation complement each other?
When put together, automation and AI can deliver even more powerful results.
In short, AI allows you to perform automated tasks that were not possible until recently.
Examples of tasks that can be performed by combining automation and artificial intelligence include:
Sales: Tenders analysis (keyword extraction, key contacts, opportunity assessment).
Marketing: Content writing (article translation, keyword detection, images, and text moderation).
Customer support: Feedback analysis (speech recognition, sentiment analysis, keyword extraction).
Finances: Income statement (extract information with OCR).
Purchasing: Accounting consolidation (invoice and receipt information extractions).
Legal: Contracts analysis (text extraction with OCR, keyword extraction, entity recognition).
HRs: Recruitment assistance (resume and ID parsing, extraction of personal information and skills).
Project Management: Project monitoring (report summarization, keyword detection, personal data anonymization).
Why automate your business processes using Eden AI and Make?
Eden AI is an artificial intelligence API aggregator that gives you access to the most advanced AI technologies on the market without having to set up each API key individually.
In summary, Eden AI provides:
A single API for all providers: Simple and standard to use, it allows you to quickly switch between providers and access specific features of each provider.
The best AI APIs on the market: Big cloud providers (Google, AWS, Microsoft) and more specialized engines as well.
Centralized and fully monitored billing for all AI APIs: Payments only depend on your consumption.
Eden AI also allows no-coders to connect any app on Make, and thus bring the best AI automation processes into their businesses.
You can choose from a wide range of AI modules - from Computer Vision to Natural Language Processing - to meet your project needs:
Artificial intelligence and Make: 5 solutions you can use right away
Here you’ll find five ready-to-use AI solutions that leverage Eden AI to build and optimize AI projects.
Once you create your Eden AI account, copy-paste the API key to your Make connection as follows:
Before testing and running your Make scenarios, don’t forget to fill in the required parameters: Text, provider, language, and so on.
Eden AI’s modules are very intuitive, but in case you get stuck, feel free to the available documentation.
Use case 1: Bid management and automated NER extraction
In the public and private sectors, administrations have to deal with a sheer amount of documentation.
Documents like tender papers must be indexed and organized in such a way that information can be easily retrieved.
However, this is rarely the case.
In this context, NER (Named Entity Extraction) is an attractive solution, as it allows you to automatically extract information like names, organizations, locations, quantities, monetary values, and percentages, among other data.
Because of competitive bidding, tendering can become extremely complex and time-consuming. Large companies are required to run tons of tenders at the same time to see which one they should put out to tender.
One thing that can be tricky to achieve is to quickly translate one offer after another.
If you’re a company looking for an easy and cheap way to automate NER Extraction instead of extracting those responses yourself, Eden AI and Make are your friends.
So, what does this template do?
First, it extracts text from PDF files in Chinese using Eden AI’s automated optical character recognition (OCR).
Then, it translates the text into English.
After that, it extracts context and other important information (such as dates, organizations, amounts, and places) before adding the translated text to a Google Sheets spreadsheet.
Use case 2: Automated audio sentiment analysis to calculate Net Promoter Scores (NPS)
Also known as “opinion mining”, sentiment analysis detects subjective information from a text and extracts sentiment out of it; usually, positive, negative, or neutral.
This allows you to determine whether or not your customers are happy with your services.
It’s not rare for Net Promoter Scores (NPS) software to use sentiment analysis technology to measure satisfaction through surveys, reviews, comments, and even sales calls.
However, sentiment analysis is quite limited when it comes to analyzing sentiment in a piece of audio.
If your provider doesn’t return the sentiment directly from the audio, you’ll have to first extract the text and only then use a sentiment analysis API on the text that was extracted beforehand.
To avoid all of this, you can turn to the following Make templates.
This solution will transcript audio data and extract sentiment from transcripted text.
A few important notes:
For the first scenario, you should know that every audio file that is sent to your Google Drive folder will be processed into Eden AI’s “Transcript Audio into Text” module.
Then, add up Eden AI’s “Get Audio Transcription” module to convert the audio into text.
Please note that you’ll need to set a Router “Sleep” in between the two in order to retrieve the results.
Next, run the transcribed audio through Eden AI’s sentiment analysis module if the transcription status is finished. If it is still processing, then we store the Transcription ID in a Data Store.
Once you do this, it’ll be time to use the second template, which relies on the “Get Transcription” module at regular intervals until transcription is completed.
Here, we call this scenario at regular intervals, using Transcription ID saved in the Data Store to process the “Get Audio Transcription” module.
Then, we can identify sentiments in the transcripted text.
Wrap it up by adding a connection to a Google Sheets spreadsheet in order to keep the results stored and accessible.
Finally- don’t forget to remove the Transcription ID from the Data Store.
Use case 3: Automated invoice parsing
Thanks to automated optical character recognition (OCR), you can analyze and extract information from invoices (such as date, due date, tax amount, supplier name, etc.) to verify it and then enter it in the accounts payable system.
In simple words, you can use Make and Eden AI to automatically extract information from invoices and add it to a Google Sheets spreadsheet.
First, you’ll need to connect your Gmail account to your scenario.
Then, Eden AI’s OCR module will extract information from invoices and ship it to a Google Sheets spreadsheet - nice and easy.
Use case 4: Automated image moderation for news and media platforms
AI and automation are also valuable to target explicit content where inappropriate and NSFW (Not Safe For Work) objects can be red-flagged and filtered.
Automated image moderation is the answer to this problem: If no explicit content is found, the content gets published.
So, how does this template work?
Simple: It retrieves files from a Google Drive folder, and runs them through an “Explicit Content Detection” module.
Based on the results, the content can be routed in different ways:
If explicit content is detected, the process stops and keeps the content hidden.
If explicit content is not detected, the system can extract the text in the document and generate a summary (see the image below for reference).
Other modules (such as object or face detection) can also be implemented depending on your requirements.
Use case 5: Automated resume parsing
Reading resumes one by one is very time-consuming, but it can be automated with a resume-parsing solution.
Resume parsing APIs let you extract data from CVs and convert it to a more readable format. This allows recruiters to identify the most qualified applicant for the job as fast as possible.
Let’s say you’re receiving a massive amount of CVs in your email. When that’s the case, you can rely on your Gmail account to automate the process.
Then, Eden AI’s “Resume Parser” module will extract information (such as skills, education, work experience, languages, and so on) from the files attached to the incoming emails.
To conclude, the scenario will send the parsed contents over Slack, as you can see below:
Benefits of using Eden AI on Make
At Eden AI, we strongly believe in democratizing AI so that any tech enthusiast can access its capabilities. Empowering no-coders to implement AI automation is no exception to this.
Using Make with Eden AI is quick, fun, and easy.
You can integrate any AI module into your workflow to save time and resources — no coding is required.
On top of this, there are other benefits associated, such as:
Save time and financial resources: AI and automation can improve and accelerate your processes by allowing you to quickly switch between AI solutions providers.
Easy to integrate: Once your Eden AI API key is set, Make allows you to run as many scenarios as you wish and change settings anytime.
Customization: Make features a library of applications including Google Drive, Gmail, Outlook, Airtable, Slack, Telegram, Twitter, SAP, Salesforce, Twilio, Aircall, and many others that go hand in hand with Eden AI modules.
As you can see, Eden AI and Make are delivering on a promise that’s been left blank for too many years: Artificial intelligence for everyone, on the spot.