It has been said countless times and will be said many times more, Artificial Intelligence is changing the way we live our lives and it surely is set to change the world’s perception of us humans. AI funding projections are expected to reach $46 billion by 2020. This level of investment is being done only on narrow AI or weak AI for now which can be defined as the AI built to successfully perform the only tasks. While the end goal of scientists is general AI or AGI which will outperform humans in all cognitive tasks simultaneously. Think about the kind of revolution that will bring.
While AI is beneficial in all walks of life, businesses have the real advantages to gain from AI. They can improve marketing, gather customers, improve sales, in short, achieve all of their goals much faster and easier with AI than without. For more than 20 years, Amazon has been working in the AI sector, leveraging its efforts to improve its supply chain, forecasting, and planning capacity. They provide many open-source resources through Amazon’s web services (AWS), which can facilitate your AI efforts. Let’s see what you have to gain from using these services.
Benefits of AWS AI
The following are some of the benefits of using Amazon AI tools for your business services and applications.
Along with TensorFlow, Caffe2, and Apache MXNet, AWS supports all the most popular Machine Learning frameworks available in the market. This makes it easy to use them together or import your product from these frameworks.
Together with the data center and database software that you wish to run Machine Learning tasks with, ML resources are deeply integrated with the rest of the platform. AWS offers you support for a large amount of data for your whole platform.
AWS does not have direct charges, termination conditions, or future contracts. The AWS Free Tier lets you get started on AWS and you can easily incorporate more with the pay-as-you-go model.
Amazon services are well-known for the high-level security they provide. Services for storage and database provide solid coding to keep your data secure and versatile key management options allow you to decide how you want to handle the encryption keys.
The Best Amazon AI Tools
Below we discuss the five most valuable services that you can start using today to improve the future of your business.
Connecting with customers and engaging them through a proper conversational channel is the biggest aim of any organization today. Whether its a chatbot on your website or a talking software in your customer service center, AI can help you improve customer involvement and motivation. Amazon Lex is the “conversational interface for the power of your application by the same deep learning technologies like Alexa.” With Lex, you can build a fully functional conversational system for your company.
Not only can Lex respond and sound like a human, but the data collected during each phone call will use to learn over time. Companies like Disney and Google use similar life-like systems where you may not be able to realize you’re not talking to a human. With Lex, more companies can build customer service and support systems. It consists of built-in integration with AWS, so you can take full advantage of Amazon security, storage, and computation services too. It also automatically scales as your data and business expand.
For development companies, managing and refactoring code can be more costly than writing it. Amazon provides an intelligent solution to this problem – CodeGuru. Amazon describes it as: “Amazon CodeGuru is a machine learning service for automatic code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.”
With CodeGuru, code problems such as resource leaks, possible competitive race conditions, and wasted CPU cycles can be detected and corrected. And with low on-demand pricing, any software review and program you run is cheap enough to use. CodeGuru is supporting Java software now, adding more languages shortly. It also helps you detect problems more quickly and sooner, so you can provide your clients and consumers with better software.
With face recognition software taking over the world, every business wants to have a feature in their application that can detect and infer useful information from a picture or video to complement their product and services. Using proven, highly scalable, deep learning technologies that require no machine learning expertise to use, Amazon Rekognition makes it easy to add image and video analysis to your application. You can identify objects, people, text, scenes, and activities in images and videos as well as to detect any offensive content. It also offers highly accurate facial recognition and facial search capabilities that you can use to identify, evaluate and compare faces for a wide range of cases of user authentication, counting of individuals, and public safety.
If you are a company working on some AI or ML project, Amazon provides SageMaker so you can build your algorithms. Amazon SageMaker is a fully managing service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models.
Developing traditional ML training algorithms is a complex, costly, ongoing process that is harder because the entire machine learning workflow lacks integrating tools. You must stitch tools and workflows together which is time-consuming and prone to errors. SageMaker addresses this problem by having all the machine learning components in one framework so that models can be generated with far less effort and at a reduced cost.
A search bar is the most important feature of any business’s website or application. What if the search results are generate using AI natural language processing algorithms working on your data? You can only imagine the performance of your search feature and the quality of your search results. Amazon Kendra lets you do that by using natural language to get the most relevant results. Natural language enables you to get more specific answers from anywhere in your data. Ask questions like, “Is the IT help desk open at noon?” or “How do I connect to my VPN?” so you can get more precise answers. As it is an AI system, it continuously keeps learning and giving better and better search results with time.
The consumer can create data from large data sets with Amazon AI and ML services, produce trillions of predictions and deliver these predictions in real-time and high throughput. With AWS AI there are no additional expenses, the customer has to pay for what they’ve used only. This works in such a way that as the business grows, the consumer can scale their company.