Open source AI platforms are helping humanity move towards a futuristic world faster than expected.
What is open-source artificial intelligence?
Defining this term requires understanding a few others. Open source is a software development term that means any programmer can jump in and work on it, with the goal of developing robust software in a shorter amount of time.
This is a great way to leverage new ideas from the best minds to fuel technological progress. Think of open source as a group project where humanity benefits from the A+ work.
Artificial intelligence is a branch of computer science that develops programs and algorithms (step-by-step processes designed to solve a problem or answer a question) that help run various machines in more human-like ways.
There are several subfields of this science, including:
- Natural Language Processing (NLP) is the focus on developing natural interactions between humans and computers. Specialized software helps machines process human language, create understandable words, and interact with humans through language.
- Machine Learning (ML) prioritizes a machine’s ability to analyze information and use it to make recommendations or decisions based on the datasets it has been given.
- Computer Vision is about creating machines that can understand and then interpret visual information.
- Robotics can physically perform tasks without human micro-management, including interacting with humans.
Right now, companies verify that we are humans by having us choose photos from a set with one thing in common, such as cars or volcanoes. What if we were to see a car at the base of an active volcano, we can extrapolate that the car will be damaged. Machines are still developing these abilities.
Open-source Artificial Intelligence (AI), therefore, can be defined as software engineers collaborating on various AI projects that are open to the public for development. The goal is to better integrate computer science with humanity.
We need one last bonus keyword to help us connect open-source AI to marketing: Industry 4.0.
Industry 4.0 is the idea that advanced computing and artificial intelligence have unlocked a new era in human productivity.
Artificial intelligence open source, then, can be defined as software engineers collaborating on various AI projects that are open to the public for development. The goal is to better integrate computer science with humanity.
We need one last bonus keyword to help us connect the open-source AI to marketing: Industry 4.0.
Industry 4.0 is the idea that advanced computer science and artificial intelligence have unlocked a new era in human productivity.
- The First Industrial Revolution was about creating machines for steam or water power.
- The Second Industrial Revolution was when we converted machines to electricity and embraced mass production. Products were built by human assembly lines, assisted by electrical conveyor belts that brought work to their hands.
- The Third Industrial Revolution was when we connected computers to machinery to increase efficiency and automation. Car factories now have machines programmed to build cars quickly and accurately without human assembly lines.
- And now The Fourth Industrial Revolution — nicknamed Industry 4.0 — is about how industry is changing now that humanity and computer science are so closely interconnected. Business no longer takes place only in boardrooms and factories. We carry it in our pockets.
We can sell and reinvest in stocks from our kitchens with the simple touch of a button. Without touching anything, a voice-activated computer can order groceries, add appointments to our digital calendars, and tell us jokes while we work from home instead of commuting into the office.
It is this new landscape, this new era of manufacturing through interconnected technologies, where open-source Artificial Intelligence (AI) comes into play for marketing.
Artificial Intelligence open source for marketing.
How Can Marketers Utilize AI?
Artificial intelligence offers a vast range of capabilities to marketers who want to make the leap, from small assists to running campaigns for you. We will share some use cases to give you an idea of what is out there.
Automated Social Posts
One of the smallest ways to leverage smart technology in marketing is to use a program that schedules and posts your pre-loaded social content.
You set the frequency (from several times a day to once a month or more) and then upload all the prepared content. It does the work for you according to your customized schedule.
Content Creation
This is an area where AI is fully blossoming. Marketers tasked with creating written content face similar struggles across the industry. How do they continue to come up with ideas that will resonate with their audience? How can they produce content in less time to increase conversion?
Companies are counting on AI content to save time on creating the bulk of such work, spend less on writers, and call their expert wordsmiths to then compose quality.
Personalized Emails and Data Acquisition
Most of us have received follow-up emails with the effect of, “Hey, you left an item in your cart!” or “There’s an item in your wish list that just went on sale!”
People absolutely cannot write these billions of daily, personalized emails based on each consumer’s shopping habits, but AI can.
Algorithms have been devised to extract user data, analyze how each customer interacts with a brand, and create personalized email content. Then, AI schedules and sends that content, all without human interaction after it’s set up.
To say, “Send a thank-you note to Savannah” kicks off an algorithm that pulls Savannah’s email address from the contact list, creates a thank-you email, and attaches Savannah’s name to it. The program can then send it or read you the note, allowing you to make edits before sending.
Ad Targeting and Pay-Per-Click Campaigns
If you advertise on Google or Facebook, programs like AdWords give you deep insights and hyper-specific details to help you evaluate how your ad campaigns are performing. Additionally, they facilitate pay-per-click (PPC) bidding so that you can allocate your advertising budget efficiently.
AI can analyze who has interacted with your ads, then redirect ad spend to groups that market research may not have predicted. You might be pleasantly surprised at the number of leads you discover or the conversions you achieve.
Ethical Considerations Before Using Open-Source AI
Nothing new is easy. Even the highest level of technological development has important human elements that must be addressed sooner rather than later.
Bias
People write algorithms and data sets, and people have biases, whether or not they are aware of the unique lens through which they view the world. These influences can and do change what a program does, especially if the AI’s output is designed to change based on human behavior in virtual spaces.
These problems become apparent when searching for bias-laden words. We recommend creating programs that avoid stereotypes and misinformation.
So, how can programming be less biased? This is one of the hottest topics in AI right now, and solutions (and laws) are still being forged.
Misinformation or Incomplete Information
Just because it’s on the internet and AI finds it doesn’t mean it’s true. And just because something is popular doesn’t mean it’s right.
Similarly, just because you have true information doesn’t mean you have the full picture, no matter how much you push your search engine to find the truth.
Top 10 Open-Source AI Platforms and Tools
Let’s get to the main event now: We have compiled a list of open-source AI tools to introduce you to some of the best options as you move forward on this topic, decide if micro AI could help you increase your ROI, or if larger open-source AI projects are what you need to achieve your company’s objectives.
TensorFlow is an entire support structure for programmers who want to help each other create something new by leveraging the existing models of other experts. TensorFlow is one of the most robust AI platforms and offers training videos to help you kickstart your success. This platform supports several programming languages, including Swift, Python, and JavaScript, the most common programming language on Earth.
Price: Free.
PyTorch, like TensorFlow, is a one-stop shop for turning ideas into functional applications. It’s an entire framework built to support various aspects of open-source AI project development, including vast libraries and data sets to draw from. This platform is easy for developers who already program with Python to use. Its object-oriented approach helps group usable blocks of code that do only one job.
This familiar and reliable “object” can then be inserted into a larger sequence to do more complicated work, helping programmers help each other.
Programmers fluent in Python thrive here, but it also has a C++ interface for those who do not program with Python.
Price: Free.
Marketed as designed for humans, Keras is an application programming interface (API) that allows you to quickly and easily share the front end of your deep learning models. You can export your models from Keras and run them on browsers, iOS, and Android. Their Python libraries tend to focus on artificial neural networks.
Ideal for: Programmers who prefer a leaner UI while working with the latest versions of TensorFlow, making it easier to interact with the software as it’s being built.
Price: Free.
OpenAI is all over the news and for good reason: it’s changing the game for natural language processing (NLP) AI programs. They offer a model called Codex that turns natural language into code in your specified programming language. Additionally, like other open-source AI projects, you can access their models and customize the code yourself.
OpenAI is mastering what Alexa/Siri does and taking the next step in Industry 4.0. This AI can synthesize its own natural language responses from information it finds instead of just pointing to a website and reading it. Amazing stuff, and you can work with it!
Price: $18 free credit to experiment with for three months, then pricing is token-based and depends on what you use as you go.
OpenCV is known for its open-source AI platform for computer vision. If TensorFlow has a bachelor’s degree in general AI, OpenCV has a master’s in AI vision. And it works pretty much everywhere because its library was written in C, which supports it being transferable to anything from “Mac PowerPCs to robot dogs.” It includes a new C++ interface, and wrappers have been developed for Java, Python, and others to encourage multilingual development.Ideal for: AI development specific to computer vision applications.
Price: Free, even for commercial use.
H2O.ai’s AI Cloud Platform copy claims to be “the fastest, most accurate AI platform on the planet” and seems aware of ethical issues in AI. They strive to democratize AI by making it available to anyone, allowing humanity to use it to make a positive impact on the world. A solid choice for: Companies that prioritize development speed and also plan to use AI to improve their offerings, working toward simplified AI management across the board.
Price: Free to develop open-source software and to use their H20 Wave API.
Rasa is great for building conversational AI (chatbots) and deploying them free through the cloud. It’s flexible and advertised as “future-proof” because it was designed so that you can plug in any NLP or ML model to Rasa for increasingly accurate results as technology improves over time.
Ideal for branded conversational AI for businesses equipped with built-in integrations for social messaging like Slack and Facebook.
Price: Free. Paid pro options for enterprise are also available.
If you have code to run or want a familiar place to start building, you can do so free on AWS/ The platform also stores the results/output of your programs. Additionally, AWS offers numerous value-added features for business marketing, such as customizing code for their content delivery network and managing task coordination for various cloud applications, all for free.
If you’ve got a handle on coding but could use some adjunctive support services for development, including enterprise features to help you level up toward Industry 4.0.
Price: Costs vary. There are short-term offers, 12 months free, and an always-free option.
Regardless of which platform you choose, the GitHub platform keeps collaborative work in order. GitHub is the most significant name in programming cooperation. The platform helps organize projects when many hands touch the same code, keeping track of version histories, notes, and wikis.
Ideal for individuals or teams who don’t know each other but want to work productively on a project.
Price: Free basic, $44 team, $231 enterprise.
GitHub AI Projects: Instagram spam protection and fake product review identification.
We are including these open-source AI projects in development on GitHub because so much marketing involves moderating social networks once content is live. These projects allow you to extract pre-existing datasets to train your programming models to do the work more thoroughly, better protecting your brand to keep leads coming in.
Google has made its ALBERT model open-source so you can emulate it. The program excels at natural language processing and is agile with language-specific issues like interpreting meanings in context.
Price: Free.
Source HubSpot
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