July 08, 2019
The Game is Changing: The Top AI Trends of 2019
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More than 40 percent of all executives believe AI will be critically important to their business by 2020. It’s not hard to see why.
Several major breakthroughs, many in machine learning, have made AIs better than ever. They’re able to do more. What’s more, is they’re still evolving.
Now people are asking, “what’s next?” The top AI trends for 2019 give glimpses of a bright future for the field.
One of the biggest AI trends is one of the least talked about in the daily news cycle. That's because it isn’t about technological breakthroughs.
The dramatic rise of AIs in business over the last few years now affects the social and legal worlds.
Lawmakers are asking questions like who is at fault when a self-driving car crashes. Another question is whose safety should be prioritized if the car can’t avoid crashing.
On the social front, there are questions about how neutral AIs are. The issue of bias is a hot topic in this area. An AI used by Amazon exhibited biases when it processed resumes, preferring men over women.
Experts were quick to question technology’s ability to counter prejudice.
Legal and ethical issues will continue to arise in other fields as well. The medical field is a good example. AI is already capable of diagnosing certain conditions.
What happens if a machine misdiagnoses a patient or suggests the wrong treatment? Should AIs recommend treatment in cases where there’s only a slight chance of survival? These are enormous questions that will have to be answered in the coming years.
AI regulation is in demand not just because there are more AIs out there. Researchers are already making smarter and better AIs. They’re also making them faster.
Key to this is reducing the training time for AIs using machine learning. Machine learning requires huge amounts of data to be fed to the machine, which takes time. Newer AIs are already taking in more in less time.
This means it will take less time to develop an AI, and it will likely be smarter too.
Other technological developments, such as AI-enabled chipsets, are helping. Not only can they help AIs learn faster, they can also help the AIs run faster as well.
Cloud technology is also playing a role in improving AIs. These infrastructure changes will make it easier to scale AI as businesses grow.
A subset of machine learning, deep learning mimics the human mind. The introduction of deep learning is a step toward generalized AIs. These AIs are capable of many different tasks.
It’s little surprise deep learning is still trending technology. The area has so much potential.
Neural networks are one of the best examples of deep learning. They’re improving natural language processing, image processing, and more.
Another current technology trend is the Internet of Things. The term refers to the deluge of “smart” devices on the market today. They include appliances like smart thermostats and smart refrigerators.
Experts expect the IoT to be the biggest driver of AI in the next few years.
It makes perfect sense. Smart devices make decisions for people, such as raising the temperature if the house gets too cold.
Using more sophisticated AI, smart devices don’t even need you to tell them what to do. They’ll be able to take information from their surroundings and make adjustments.
The industry is the testing ground for this AI-empowered IoT. AIs will be able to predict when machines need maintenance. They might be able to detect outliers in performance and even diagnose the cause as well.
As discussed, one of the challenges in AI right now is how much time it takes to train AIs. Another challenge has been moving trained AIs between frameworks.
There are many frameworks developers can choose from when they design an AI. Once the AI is fully trained, though, it’s difficult to move the AI to a new framework.
Interoperability is thus at the top of AI experts’ minds. Some new projects, like the Open Neural Network Exchange, aim to change that story. ONNX allows researchers and developers to reused trained models on different frameworks.
Interoperability will make it even easier to create and train AIs.
The IoT may be driving AI forward, but AI is driving job demand. More companies are on the hunt for talented data scientists.
Research firms and big tech companies aren’t the only ones seeking talent though. Many businesses in other industries are already developing AI for internal purposes. That trend is likely to continue too.
I already mentioned that business is embracing AI whole-heartedly. It seems as though clients are too.
Today, more people report that they’d be comfortable talking to an AI. Chatbots are already showing people their advantages. They can forward conversations and handling emergency responses.
More people are also using AI-powered virtual assistants.
Natural-language processing makes chatbots possible, and machine learning helps them improve. As technology continues to improve, it’s likely more people will embrace AI. In turn, businesses will need to adapt AI for their customer service or risk being left behind.
As these AI trends show, artificial intelligence is now part of everyday life. As technology gets better, AIs will be able to do even more.
As the person at the helm of a start-up, being aware of these trends is crucial. Whether you’re developing new AI applications or adopting AI for use in your business, you need to be ahead of the curve.
Technology is one key piece of the puzzle for start-ups. If you have questions, get in touch. I can help your start-up truly take flight.
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