We hope you enjoy reading this article.
If you want our expert developers and designers to work on your online product, click here
Latest posts by Alexey Semeney (see all)
- How to Implement AI in Ecommerce: A Complete Guide - 30 May, 2023
- How Much Does Building an MVP Cost? - 9 May, 2023
- Some Reasons to Engage in Hospital App Development - 7 May, 2023
Wondering which artificial intelligence development company should you choose for your business? The following guide shows which artificial intelligence development company will be a better option according to the industry.
Artificial Intelligence for Healthcare
Recommendation: IBM Watson
IBM is a leader when it comes to developing AI that can advance the medical field. Their system Watson can expertly interpret data – including unstructured text, images, audio, and video.
The technology also helps businesses automate personalized recommendations (think: Netflix’s movie suggestions, but really, what AI doesn’t do this?). Where it excels is in understanding a person’s personality, tone, and emotion.
IBM’s main draw is how it benefits the healthcare industry in the following ways:
- Advanced medical imaging analysis
- Early detection of various disorders
- Hyperimaging that traces diseases at a nanoscale
I outlined the details below. Though, to apply IBM Watson innovation to your business and create your own market-leading solutions, you have a whole portal IBM Watson Health with APIs, SDKs, and complete solutions.
I highly recommend you read it all and at least map out solutions you like, and may potentially use in your business.
Once you’ve done that, you can make your first steps. I shared how to do that at the end of the article, read on.
In 2015, IBM bought Merge Healthcare for $1 billion. This gave them access to 30 billion medical images from over 7,500 hospitals and clinics in the U.S. that they used to ramp up Watson’s knowledge base.
For this reason alone, IBM can expertly interpret images and spot something a doctor may miss. Pair this with Watson’s deep learning capability, which allows the software to spot patterns in large amounts of data to predict things like rare forms of childhood diseases and how cancer will spread before it happens.
IBM isn’t just focusing on imaging, though that’s their main draw at the moment. The company also believes that in five years, their cognitive systems will be able to analyze our speech and find tell-tale signs of developmental disorders, mental illness, and neurological diseases to help doctors predict problems before they happen.
Hire expert developers for your next project
Trusted by
They believe A.I. will be able to trace diseases at a nanoscale. In addition to groundbreaking medical advancements, IBM’s AI can give us better eyes! Hyperimaging technology combined with A.I. could help us see beyond the spectrum of visible light.
This can reveal potential dangers that are hidden from our everyday, average (and often bespectacled) human view (which we’re all going to need if we’re riding in self-driving cars, anyway).
This type of technology is already used in medical imaging and airport security scanners, but IBM hopes to launch a personal, affordable system that the average consumer can own within the next five years.
Artificial Intelligence For Ecommerce
Recommendation: Amazon
Artificial Intelligence software offers businesses in the ecommerce realm loads of invaluable benefits. While any of the major Artificial Intelligence development companies will surely benefit your business, but Amazon sticks out as the one to watch. AI can benefit your ecommerce business with business automation in a number of ways including:
- Sales predictions for better supply chain management
- Price management
- Recommendations and promotions
Amazon has a bunch of different AI software development solutions when it comes to implementing their machine learning software. They detail their offerings in their AWS portal (and outline the ways they can help your business cash in, too!). Once you’ve read up, check the end of the article on how to get started.
Amazon’s immense access to shopping and ecommerce data has made their machine learning some of the best. Perhaps the most valuable is making smart predictions about what a consumer wants which leads to increased business sales and increased profits.
Ever wonder how Amazon’s ads always seem to be about things you so desperately need? That’s AI at its finest.
They also can help predict losses in the supply chain– from choosing how much stock to carry to alerting you if you should put something on sale.
AI also has the ability to help you determine the best prices for products – that sweet spot that’s just competitive enough to make people want to buy from you but leave you with a good profit.
If you’re a beginner, Amazon’s machine learning technology focuses on the average developer.
It’s not necessary to be a code wizard – the company touts that developers of all skill levels can utilize their technology with visualization tools and “wizards” (think AI teaching you AI) to guide you through the process without requiring you to learn difficult machine learning algorithms.
Their software uses these artificial intelligence algorithms to find patterns in your existing data and generate predictions for your app (which is typical for all A.I. software and the most basic function of the lot).
It also pays as you go, and there’s no upfront investment making it a great option for new developers who want to test the waters or need to start small because of financial constraints.
Artificial Intelligence For Customer Service
Recommendation: Microsoft
Artificial Intelligence is changing the face of customer service and could save you tons of money in the future. Many A.I. systems are developing such strong language skills that you can forgo a human customer service experience altogether and have your AI solution handle customer concerns.
Here’s how AI helps:
- Customer service automation
- Language translation for international consumers
Automating customer service is a really valuable resource, and Microsoft outlines the whole process on their blog (an interesting read for anyone looking to build a chatbot). Once you decide on the route you want to go, I’ve outlined how to get started at the end of the article.
Hire expert developers for your next project
1,200 top developers
us since 2016
Microsoft is a leading player when it comes to this, minus a couple of hiccups. The company recently forayed into the idea of AI chatbots and got some major flack when their new bot Tay.ai began spewing racist, hate-filled comments (though to be totally fair, AI learns from humans which are often terribly racist and filled with hate, so is it the technology’s fault or the fault of its teacher?).
Microsoft’s most recent chatbot seems to have skirted racism and functioned properly.
Much like Google, Microsoft has access to a wide arrange of data from their search engine Bing (now, I don’t actually know anyone who uses Bing, but apparently people do).
They’re using this info to help enable computers to understand what they see, communicate in natural language, and answer complex questions (hello, robot customer service rep that no one even realizes is a robot!).
Their major focus is similar to that of Google – machine learning, human language technology, and perception and sensing (which can be particularly useful in self-driving cars and also benefit the medical field with hyper imaging).
Though Google may be major competition, it doesn’t come as close with live, real-time voice translation. Microsoft’s Skype translator will help you real-time translate voice calls and video calls which is groundbreaking.
They’ve also got Cortana, Microsoft’s version of a personal assistant, that for some reason seems to have skirted much of the hype of its competition, though its level of personalization remains unmatched.
If you ever needed something to help you organize your office, Cortana (or Amazon’s Alexa) seems to be the star.
Artificial Intelligence For Finance
Recommendation: Amazon, Google
Machine learning is invaluable when it comes to the finance field. I’d have lumped this in with ecommerce, but it seemed so immensely important it deserved its own category. Financial matters are nothing to mess with and before you find your business subject to $3,000 of fake Air BNB charges (yes that happened to me), AI could be your savior.
- Fraud Detection
- Prediction of financial trends
Google has outlined an amazing amount of ways their AI can help your business grow. The amount of info available may seem overwhelming (they can do so much for you!) but it’s actually pretty exciting when you think about things your business can achieve with a little bit of forecasting.
Amazon and Google are key players when it comes to this because of all of the shopping data they have access to through Amazon’s and Google’s marketplaces.
In the past, Amazon has worked with companies like Fraud.net, which use Amazon Machine Learning to discover fraud patterns, and Upserve, which use the technology to predict how many patrons will walk through a restaurant’s door.
Artificial Intelligence For Different Fields
Recommendation: Google
Google is widely renowned as the leader of AI. The company is constantly acquiring new startups that use their AI data in different ways and most recently announced they’re bringing their technology to another outlet — Raspberry Pi (the popular micro-computers).
Google may seem like they’re spreading itself thin but they’ve got a massive team exploring every single aspect of machine learning – from speech recognition and machine-driven translation to natural language processing and understanding of human speech.
The company has made leaps and bounds when it comes to AI understanding human speech (they overhauled Google Translate so much it basically reads like it was written by a human who speaks various languages fluently) and they’re planning to ramp up their visual processing capabilities with Google Brain and DeepMind.
They’ve already made massive advancements with DeepDream, a computer vision program that uses a convolutional neural network to find and enhance patterns in images.
Hire expert developers for your next project
Trusted by
Some of us might recognize this as a reverse Google image search, but it’s so, so much more than that (and can even, in a really freaky way, actually dream).
Google, by far, has the best AI strategy because it can process tons of search engine queries in real-time. It has access to data from Android, YouTube, and Gmail in addition to just their search engine which makes it sort of feel like Google has open access to our actual minds – how we think and what we’re thinking.
This is invaluable when it comes to teaching and training AI and their technology will only get better with time (if you don’t believe me, check out some of their recent AI experiments which include everything from handwriting and drawing recognition to sound recognition).
In addition, Google isn’t just focusing on large companies; they’re hoping to help the individual consumer. Pixel, Google’s answer to Amazon’s Echo, is significantly smarter than its competitors (i.e. Alexa and Siri) because of the vast amount of search engine data the company has.
How To Integrate Artificial Intelligence Into Your Business?
Implementing AI and business automation solutions into your already existing business can be a headache or it can be easy. There are a number of ways you can go about it – some are longer and more costly ways and others are easy as Raspberry Pi. You can:
- Invest millions in data scientists and hire costly in-house engineers for their software development services.
- Spend hours and hours researching everything about an artificial intelligence development company and its services yourself – and hope you get it right.
- Find and hire data science professionals and AI engineers who are already working on these solutions using prominent AI development companies and helping other companies to automate their businesses using AI development services.
Read our blogs to get an idea of how to implement an AI solution for your business and to get an estimate of how much it costs to develop an AI solution.
Planning to Invest in Artificial Intelligence Development?
Artificial Intelligence is here to stay. I’ve done my best to cover all the different ways you can apply it to your specific business, but in a field that is constantly growing daily, we don’t even know the amazing solutions for business operations and data analytics we could gain down the road.
All I do know is that it’s better to be an early adopter than left behind – especially when your company’s future is at stake.
An experienced software development company like DevTeam.Space can help you work with the services of a suitable artificial intelligence development company for your business.
DevTeam.Space has a community of ML expert software developers who are experienced in developing market-competitive ML solutions from mobile development to web development.
You can easily get in touch by filling out this quick form with your initial AI project requirements. One of our technical managers will contact you to discuss your AI project in detail.
Frequently Asked Questions
The best artificial intelligence development company really depends on the user requirements. However, Google Cloud and Amazon’s AWS are widely regarded as the best platforms for most use cases of AI technology.
Both platforms are focused on providing coverage to as much of the cloud market as possible. As such, they both offer comprehensive services for everything from SaaS platforms to BaaS and AI-driven services. AWS is the larger platform but Google has more services as it is generally preferred by open-source developers.
Google Cloud is generally considered the best platform for machine learning software solutions and software development. However, AWS, IBM, and Microsoft all offer comprehensive services in this area.
