In this article specially designed with artificial intelligence courses online in mind, we figured out that it would make great sense to highlight what some AI companies are doing and how they plan to transform the world with their next generation Artificial Intelligence applications.
You can easily tell what’s happening in Artificial Intelligence world by simply skimming through a few pages on Google and researching on the news sections. There’s so much noise around the word AI that often people could lose the value attached to the science and what the technology could do to change the future of humanity. The world’s richest people are investing heavily into the future of Artificial Intelligence and according to a report on recent investments into AI, we found that artificial intelligence companies and the companies that market these technologies in the market could raise $5 trillion US by the turn of this current decade. That’s an explosive growth pattern we are expecting. In such a heavily disrupted AI world, everything pegs on the companies that build AI and the people they hire to build these. Here are the top AI applications and how companies are shifting focus from their regular game plan towards embracing a more competitive and cash enriching world of machine learning for different purposes.
Let’s begin.
AI based Marketing and Content Promotion
We have picked Amazon to exemplify this AI application.
For a company that sells and markets the “A to Z” products, artificial intelligence was always going to be the creamy layer as far as extending the leadership in cloud, e-commerce, and media outreach was concerned. But, it was last year in September, when Amazon’s founder and e-CEO dropped a bomb on the AI world by stating that his properties would increasingly focus on developing new kinds of technologies that would extend the lifespan of the human race. This includes doing completely innovative AI and machine research in the space that would work in close association with other STEM fields such as genetics, molecular biology, and bioinformatics. Today, Amazon delivers AI to a diverse range of customers and partners, and they belong to industries as distinguished as medical research, pharmacy, sports and media broadcasting, news and analysis, automation, sales and marketing, and government / NGOs. The list is endless, but it’s worth their effort in some highly competitive ecosystems that are listed below:
- AI for contact centers and customer support
- Online product recommendations
- AI based inventory management, such as those happening for Amazon merchants and resellers
- Intelligent processing of documents using image recognition, computer vision, and text analytics
- Intelligent enterprise search
As we mentioned, if it’s AI or any other next gen STEM application, you will find Amazon always topping the list — yes, even if it means digging into the A to Z of Artificial intelligence and machine learning modernization.
AI for Research and Innovations
We picked Baidu to highlight what AI innovations can do with research and academic projects.
Baidu is leading the AI race with some really reasonable AI innovations. Baidu has conveniently replaced Google as the top search and internet marketing organization in the world, reaching the largest group of online users, at least in China – the world’s most populous country. And, in recent times, Baidu has been silently working on its AI leadership roadmap, investing in multiple companies to expand its vision in the machine learning domain. For example, Baidu is a leading AI company when it comes to ethical applications of AI, and it’s the only Chinese company to have been invited to be part of the PAI group. Baidu’s extensive network of AI researchers and academicians hired from all parts of the world make the company a buzzing swarm of high quality and well trained AI ML professionals who constantly work on innovative AI applications for big data, data visualization, mobile advertising, healthcare, and medical personalization, surgical automation, military, and agriculture. If you ever make it to the Baidu AI research group after completing your certification from Artificial Intelligence courses online, you can consider yourself to be belonging to the top AI league – kind of an “Avenger”, but this time, in the AI world!!!
Others who are doing exceedingly well in AI for research and academics include Google AI, a world class subdivision within Google that specifically works on artificial intelligence and machine learning, Open AI, Deep Mind, Facebook AI, and Uber AI.
AI for DevOps and Integration infrastructure
Github, RisingMax, LogicMonitor are leading the race here.
Terms like AI Ops, Automated Machine learning, and Big data analytics are creating waves in the cloud and backups management domains. RisingMax, LogicMonitor, and others are leading here.
So, what’s RisingMax?
Now, you might be thinking why to have a company that has never been probably mentioned ever before, at least in the AI research blogs published around the world. Well, there is a reason. RisingMax is not just any other ordinary AI company. It provides DevOps services to all kinds of businesses that wish to leverage AI in their existing business operations, and a majority of its ongoing works are in the field of advanced AI fields, such as NLP and Auto Machine Learning, Business analytics, and data intelligence where companies are integrating their infrastructure with AI services for conversational marketing using AI and chatbots.
One particular case study featuring RisingMax speaks to customers on what AI solutions are doing to completely transform the logistics and operations management with simplified fleet mobility solutions. The AI solutions align with the increasing demand for a real time full proof solution that can digitally transform supply chain management from what it looks like today. Imagine you get to design your own mobile app experience or customer service routing options by simply clicking on a button — or choosing a service that fits your needs, aspirations and above all, budget and timeliness – all this is possible by bringing in advanced AI solutions for supply chains created by advisors working in RisingMax.
Similarly, LogicMonitor is a classic AIOps company for AI ML engineers to try and test their data science skills acquired from the top AI courses online. The company provides a whole wide range of solutions for infrastructure management and log analysis utilizing the best talent in data science.
What kinds of skills are required for an AI job?
AI engineers and product managers are required to demonstrate superior skills in cognitive intelligence along with emotional intelligence. A lot of AI skills are learned and trained for in the online courses. But the real test is when you are working in the physical labs, simulating different types of Artificial intelligence software development kits (SDKs) for your respective product teams. A lot of times you would be pressed for time and resources, and that’s where the test comes in.
With good talent hard to come by, many AI companies are partnering with Artificial Intelligence courses online. It’s worth exploring the AI ecosystem where it’s important to not just track what big conglomerates are doing with their product innovation and human resource development but also the start ups that suddenly seem to be competing for space, money, and recognition in the AI applications.