AI dominant Technologies in 2019

Which will be the most growing and pervasive AI powered tech in 2019?

Look at this list:

1. Natural Language Generation

It is used in customer service to generate detailed reports and market summaries and is offered by various companies like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning or Lucidworks.

2. Speech recognition

Think at Alexa, but this world is fast growing.

3. Virtual Agents

Virtual agents are currently being used mostly 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

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.

5. AI-Optimized Hardware

AI technology makes hardware much friendlier. How?

Through new graphic and central processing units and processing devices specifically designed and structured to execute AI-oriented tasks.
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.

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 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

9. Image Recognition

Image recognition is the process of identifying and detecting an object or feature in a digital image or video, and AI is increasingly being stacked on top of this technology to great effect. Artificial intelligence can search social media platforms for photos and compare them to a wide range of data sets to decide which ones are most relevant during image searches.

Image recognition technology can also be used to detect license plates, diagnose disease, analyze clients and their opinions and verify users based on their face.

Clarifai provides image recognition systems for customers to detect near-duplicates and find similar uncategorized images.

SenseTime is one of the leaders in this industry and develops face recognition technology that can be applied to payment and picture analysis for bank card verification and other applications. And GumGum’s mission is to unlock the value of images and videos produced across the web using AI technology.

10. Cyber Defense

Source: Blockdelta.io

In this first part of 2019 we can already affirm that some of those are becoming dominant: Image Recognition is probably becoming a standard in the more advanced healthcare systems. Speech Recognitions and Virtual Agents are invading many sectors, like tourism and real estate. We will check at the end of the year the evolution of those 10 AI Applications fields.

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