Here Are 10 AI Technologies That Will Dominate In 2019

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The implications of recent advances in Artificial Intelligence (AI) have spurred heated debate globally. As science fiction starts to become reality, AI products are slowly infiltrating homes and workplaces. This is raising concerns about the potential detrimental effects of AI on the job market, or even about the dangers of an AI singularity, where sentient robots take over the world and destroy humans.

While these are all valid discussions, I believe that the focus of AI should not be just on cool home gadgets or on process optimisation and automation. Instead, AI can be used to fundamentally rethink how we solve the world’s problems.

Let’s have a look at ten AI technologies to watch out in 2019.

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 detailed reports and market summaries and is offered by various companies like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning or Lucidworks.

2. Speech recognition

Alexa 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 an computer generated, animated, artificial intelligence virtual character (usually with anthropomorphic appearance) that serves as an online customer service representative. It leads a intelligent conversation with users, responds to their questions and performs adequate non-verbal behavior.

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

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.

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.

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.

See the source article at blockdelta.io.