Tech decision makers are (and should keep) looking for ways to effectively implement artificial intelligence into their businesses and, therefore, drive value. And though all AI technologies most definitely have their own merits, not all of them are worth investing in.
If one thing and only one thing happens after you read this article, we hope it is that you are inspired to join the 62% of companies who boosted their enterprises in 2018 by adopting Artificial Intelligence into their workflow.
According to Narrative Scienec: “62% of enterprises will use AI technologies by 2018.”
1. NATURAL LANGUAGE GENERATION
Natural language generation is an AI sub-discipline that converts data into text, enabling computers to communicate ideas with perfect accuracy.
It is used in customer service to generate reports and market summaries and is offered by many companies.
2. SPEECH RECOGNITION
Siri is just one of the systems that can understand you.
Every day, more and more systems are created that can transcribe human language, reaching hundreds of thousands through voice-response interactive systems and mobile apps.
3. VIRTUAL AGENTS
A virtual agent is nothing more than a computer agent or program capable of interacting with humans.
The most common example of this kind of technology are chatbots.
Virtual agents are currently being used for customer service and support and as smart home managers.
4. MACHINE LEARNING PLATFORMS
These days, computers can also easily learn, and they can be incredibly intelligent!
Machine learning (ML) is a subdiscipline of computer science and a branch of AI. Its goal is to develop techniques that allow computers to learn.
By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, ML platforms are gaining more and more traction every day. They are currently mainly being used for prediction and classification.
The last one is actually the first and only audience management tool in the world that applies real AI and machine learning to digital advertising to find the most profitable audience or demographic group for any ad.
5. AI-OPTIMIZED HARDWARE
AI technology makes hardware much friendlier. How?
Through new graphics and central processing units and processing devices specifically designed and structured to execute AI-oriented tasks.
And if you haven’t seen them already, expect the imminent appearance and wide acceptance of AI-optimized silicon chips that can be inserted right into your portable devices and elsewhere.
6. DECISION MANAGEMENT
Intelligent machines are capable of introducing rules and logic to AI systems so you can use them for initial setup/training, ongoing maintenance, and tuning.
Decision management has already been incorporated into a variety of corporate applications to assist and execute automated decision, making your business as profitable as possible.
“The entire decision process can be refactored to use the relative strength and weaknesses of both machine and human to maximize value generation and redistribute decision making”, Mike Rollings, research Vice president at Gartner said.
7. DEEP LEARNING PLATFORMS
Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making.
It is currently mainly being used to recognize patterns and classify applications that are only compatible with large-scale data sets.
8. BIOMETRICS
This technology can identify, measure and analyze human behavior and physical aspects of the body’s structure and form.
It allows for more natural interactions between humans and machines, including interactions related to touch, image, speech, and body language recognition, and is big within the market research field.
9. ROBOTIC PROCESSES AUTOMATION
Robotic processes automation uses scripts and methods that mimic and automate human tasks to support corporate processes.
It is particularly useful for situations when hiring humans for a specific job or task is too expensive or inefficient.
It’s a solution that lets you make the most of your human talent and move employees into more strategic and creative positions, so their actions can really make an impact on the company’s growth.
Adapted from Adext
