AI software development is probably the first thing that comes to mind when you think of technology. In the last few years, it has gained enough momentum to incite debates among tech’s biggest names.
You guessed it. Back in 2017, Elon Musk took to Twitter after Mark Zuckerberg’s comments about Musk being “irresponsible” and “Naysayer” by ringing the alarm for AI regulations.
The debate is whether we are letting AI drive us into apocalypse or Utopia. Whatever the answer, one thing is certain: AI is driving the global markets and will continue to penetrate different industries and market segments around the world, which will increase the demand for AI development services.
This article focusses on discussing AI in 2018, its applications, benefits, and the importance for software developers. We will also look into the tools and languages that software developers need to consider in order to make a smooth transition from basic development to AI development.
Many companies have adopted AI in the last few years. Here are the highlights:
Amazon launched an AI platform.
General Electric acquired two AI startups.
Google launched an AI group for its cloud services.
Elon Musk co-founded Open AI project (he recently left the board of Open AI)
With so much going on, you can only imagine how things will turn for AI software development in the next few years.
AI has opened many opportunities for different industries, including health, energy, entertainment, and e-commerce, etc.
Artificial intelligence represents a set of technologies that allow machines to sense, comprehend and predict human behavior. Machine learning allows AI technologies to gather essential data that paves the way for learning through experience. This gives AI a powerful tool to extend beyond given capabilities and solve problems that are difficult for humans to solve. Whether machine learning is going to help us solve problems or give us more problems is a topic open for debate.
Applications of AI
AI has the potential to impact in almost every industry through AI applications some of which include but are not limited to:
- Smart houses
- Goods recommendation
- Fraud detection
- Facial recognition
- Autonomous vehicles
- Speech recognition
- Language translation
- Digital personal assistants like Siri and Cortana
Artificial Intelligence Trends 2018
2018 is the year of AI. It will potentially penetrate in all industries through AI enabled devices and applications. Here are some of the trends that have been picking heat this year:
- Intelligent AI-enabled solutions for data management
- The event-driven ecosystem for businesses with AI as tech enabler
- Autonomous connected devices for industrial, construction and e-commerce sectors
- Increased conversational platforms.
- Increased Virtual reality and augmented reality applications (Apple’s T288 is a good example.)
Benefits of AI software Development for Businesses
AI has already had its impact with chatbots, virtual assistants and speech recognition. In the coming years, this impact will only be amplified.
Here are some of the benefits offered by AI that will likely amplify the progress for AI in the next couple of years:
Real-time Assistance with Chatbots
International airlines and e-commerce stores have to respond to millions of inquiries every day. AI chatbots and intelligent systems can reduce the hassle and costs associated with connecting to customers and passengers on a day-to-day basis making communication easier and quicker.
Market Insights from Data Mining
Data is meaningless if it doesn’t give the patterns and trends that are crucial to business decision making. AI can assist with data mining and draw useful market insights that can help you make a better decision.
Prediction for Better Sales and Growth
AI can anticipate sales outcomes to amplify the effort of the sales team. One of the biggest strengths of AI is its ability to learn and adapt. This allows the technology to learn from the past experience and make better predictions for smarter decisions.
Automation allows you to reduce the time and human resources on tedious day-to-day tasks. If a bot can help with bookings and customer complaints, why would you want to spend money on a resource that requires lunch and coffee breaks? With AI automation, human capital can be invested in more important tasks.
How to Choose a Programming Language for your AI Projects
If you are looking to choose a language for AI projects, be relieved because you have more than a single option. There are several languages for AI software development. In 2018, the few have made it to the top and here they are:
If you are a software developer with basic development skills in any of the language then the transition will be easy and quick. Knowing more than one language can increase your chances of landing a better AI software development project.
Here are some machine learning and AI tools that can help you enhance your skills for a better opportunity:
- Eclipse Deeplearning4j
- Microsoft (the Azure Machine Learning Experimentation service, the Azure Machine Learning Workbench and the Azure Machine Learning Model Management service)
- IBM Watson
- Google’s TensorFlow
- Nervana Neon
- Amazon Web Services
- Apache Spark MLlib
- Apache Mahout
These open-source programs enable developers to create predictive engines for machine learning activities.
Software developers have a tremendous opportunity as the businesses around the globe look for AI enabled solutions.
It goes without saying that data is the most important asset of any company. If you can learn to manage data, you can control resources and make decisions that offer the best possible outcome.
Data science is the next big thing in tech and AI and ML work hand in hand to equip businesses for an effective data management.
That being said, AI and ML are not governed by regulations that could place limits on usage and capacity. This leads us to the argument whether AI will lead us to a tech apocalypse or a visionary Utopia?
AI regulations can put a lid on a lot that could be considered a threat to the tech community or the society at large.
Maybe Musk knows something we don’t and thereby it’s wise to lean towards regulations.
What do you think? Should there be strict AI regulations? Or should we just let it flow and see how things go?
Here’s a summary of everything you need to know about AI. Enjoy and subscribe if you like!
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