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10 Artificial Intelligence Technologies That Will Dominate in 2018


In 2017, we published a popular post on artificial intelligence (AI) technologies that would dominate that year, based on Forrester’s TechRadar report. Here’s the updated version, which includes 9 more technologies to watch out for this year. We hope they inspire you to join the 62% of companies boosting their enterprises in 2018.

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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 companies like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop.

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. OpenText and Verint Systems.

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. Some of the companies that provide virtual agents include Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft and Satisfi.

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. Some of the companies selling ML platforms include Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree and Adext. This last one is particularly interesting for one simple reason: Adext is the first and only AMaaS (Audience Management as a Service) 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 technologymakes hardware much friendlier. How? Through new graphic 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. You can get access to this technology through Alluviate, Cray, Google, IBM, Intel, and Nvidia.

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. Check out Advanced Systems Concepts, Informatica, Maana, Pegasystems, and UiPath for additional options.

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. Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology and Sentient Technologies all have deep learning options worthy of exploring.

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. 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera and Tahzoo are all biometrics companies working hard to develop this area.

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. The good example is Adext, a platform that automates digital advertising processes using AI, saving businesses from devoting hours to mechanical and repetitive tasks. 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. Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, and WorkFusion are other examples of robotic processes automation companies.

10. Cyber Defense

Cyber defense is a computer network defense mechanism that focuses on preventing, detecting and providing timely responses to attacks or threats to infrastructure and information. AI and ML are now being used to move cyberdefense into a new evolutionary phase in response to an increasingly hostile environment: Breach Level Index detected a total of over 2 billion breached records during 2017. Seventy-six percent of the records in the survey were lost accidentally, and 69% were an identity theft type of breach. Recurrent neural networks, which are capable of processing sequences of inputs, can be used in combination with ML techniques to create supervised learning technologies, which uncover suspicious user activity and detect up to 85% of all cyber attacks. Startups such as Darktrace, which pairs behavioral analytics with advanced mathematics to automatically detect abnormal behavior within organizations and Cylance, which applies AI algorithms to stop malware and mitigate damage from zero-day attacks, are both working in the area of AI-powered cyber defense. DeepInstinct, another cyber defense company, is a deep learning project named “Most Disruptive Startup” by Nvidia’s Silicon Valley ceremony, protects enterprises' endpoints, servers, and mobile devices.


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