AI technologies
Forward-looking enterprises have to be aware of emerging artificial intelligence technologies. Get the latest on AI technologies such as NLP, bots, machine learning, deep learning and open source AI tools.
AI technologies News
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July 22, 2021
22
Jul'21
Amazon updates aim for Alexa everywhere
Amazon's latest Alexa advancements include better support for natural language, interoperability with more devices and support for devices running multiple voice assistants.
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June 30, 2021
30
Jun'21
Dell HPC and AI work spawn deployment-easing Omnia software
Dell Technologies spotlighted its open source Omnia software as part of its latest initiatives to ease the deployment and management of HPC, AI and data analytics workloads.
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June 23, 2021
23
Jun'21
Pat Gelsinger reorganizes Intel, creates datacenter, AI group
Intel CEO Pat Gelsinger has reorganized business units and moved executive leaders to focus on AI, graphics and other emerging data center technologies.
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June 22, 2021
22
Jun'21
Open source RPA vendor Robocorp raises $21 million
Software automation startup based on open source framework that originated at Finnish tech giant Nokia seeks to challenge bigger RPA vendors with consumption-based pricing, orchestration platform.
AI technologies Get Started
Bring yourself up to speed with our introductory content
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natural language generation (NLG)
Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narratives from a data set. Continue Reading
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Exploring GPT-3 architecture
GPT-3 is one of the largest and most well-known neural networks for natural language applications available. With 175 billion parameters, the model easily outpaces similar models. Continue Reading
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The benefits of an AI-first strategy
Enterprises should put AI first in their business strategies by constantly collecting and using new data to power AI models, argues startup investor Ash Fontana. Continue Reading
Evaluate AI technologies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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A guide to artificial intelligence in the enterprise
AI in the enterprise will change how work is done, but companies must overcome various challenges to derive value from this powerful and rapidly evolving technology. Continue Reading
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9 top AI and machine learning trends for 2021
Tiny ML, multi-modal learning, responsible AI -- learn about the top trends in AI for 2021 and how they promise to transform how business gets done. Continue Reading
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AI vs. machine learning vs. deep learning: Key differences
AI terms are often used interchangeably, but they are not the same. Understand the difference between artificial intelligence, machine learning and deep learning. Continue Reading
Manage AI technologies
Learn to apply best practices and optimize your operations.
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5 top chatbot features to boost your AI plan
By infusing their chatbots with natural language understanding, contextual messaging and other AI features, enterprises can build and deploy more powerful chatbots. Continue Reading
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Advanced SQL skills boost data scientists' value
Learning advanced SQL skills can help data scientists effectively query their databases and unlock new insights into data relationships, resulting in more useful information. Continue Reading
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How emotion analytics will impact the future of NLP
Conversational agents and chatbots struggle to understand complex human speech, including sarcasm. But that could change as NLP increasingly incorporates emotional understanding. Continue Reading
Problem Solve AI technologies Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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5 reasons NLP for chatbots improves performance
Experts say chatbots need some level of natural language processing capability in order to become truly conversational. Without language capabilities, bots are simple order takers. Continue Reading
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How to avoid overfitting in machine learning models
Overfitting remains a common model error, but data scientists can combat the problem through automated machine learning, improving AI literacy and creating test data sets. Continue Reading
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How to troubleshoot 8 common autoencoder limitations
Autoencoders' ability for automated feature extraction, data preparation, and denoising are complicated by their common problems and limitations in usage. Continue Reading