Companies Manipulating A.I. Systems for Competitive Advantage
March 10, 2020Multitask Learning
March 10, 2020Natural Language Generation (NLG)
With the growing popularity of digital assistants, consumers want the ability to have natural conversations with machines.
With the growing popularity of digital assistants, consumers want the ability to have natural conversations with machines. But training A.I. systems require a tremendous amount of data.
Natural language generation (NLG) systems automatically detect, parse, visualize and then narrate key data. Google’s Cloud Natural Language API, the Azure Text-to-Speech API, IBM Watson Text-to-Speech, Amazon Polly and Baidu’s Text-to-Speech system are all advancing the field of NLG.
Companies like Arria NLG, Narrative Science and Automated Insights have products that help non-data science people make better sense of what’s happening within their organizations.
One possibility for NLG: developing a system that can use plain language to explain itself, and the decisions it makes, to others.
Related trends
This trend is part of our section on Artificial Intelligence. Other trends in this section include:
- A.I. and Digital Dividends
- Prioritizing Accountability and Trust
- Ambient Computing Expands
- Ubiquitous Digital Assistants
- A.I. for Drug Development
- A.I. for Interviews
- Consumer-Grade A.I. Applications
- The New Mil-Tech Industrial Complex
- National A.I. Strategies
- The Race to Establish A.I. Rules
- Algorithmic Warfare
- Making A.I. Explain Itself
- Using A.I. in Critical Systems
- China’s A.I. Rules
- Artificial Emotional Intelligence
- Personal Digital Twins
- Problematic Data Sets
- A.I. to Catch Cheaters
- Algorithms Designed to Target Vulnerable Populations
- A.I. Still Has a Bias Problem
- A.I. Systems Intentionally Hiding Data
- The Rise of Undocumented A.I. Accidents
- Multitask Learning
- Generative Adversarial Networks (GANs)
- New Generative Modeling Techniques
- Probabilistic Programming Languages
- Machine Image Completion
- Hybrid Human-Computer Vision Analysis
- Predictive Machine Vision
- Automated Machine Learning (AutoML)
- Customized Machine Learning
- Graph Neural Networks
- Intelligent Optical Character Recognition
- A.I. for the Creative Process
- Generative Algorithms for Content Production
- Generating Virtual Environments from Short Videos
- Automated Versioning
- Automatic Voice Cloning and Dubbing
- Spotting Machine-Written Text
- Algorithmic Fact Checking
- Datamining Crowds
- Deep Linking
- Corporate Biometric Spoofing
- Bots
- Global Rush to Fund A.I.
- Algorithm Marketplaces
- Marketplace Consolidation
- Fragmentation
- Liability Insurance for A.I.
- Ambient Surveillance
- Creating 3D Models from Flat 2D Images
- Neuro-Symbolic A.I. Algorithms and Systems
- Real-Time Machine Learning
- Natural Language Understanding (NLU)
- Machine Reading Comprehension (MRC)
- Natural Language Generation (NLG)
- Real-Time Context in Machine Learning
- General Reinforcement Learning Algorithms
- Deep Learning Scales
- Faster and More Powerful Open Source Frameworks
- Reinforcement Learning and Hierarchical RL
- Continuous Learning
- Using A.I. to Speed the Process of Scientific Discovery
- A.I. in the Cloud
- Robotic Process Automation
- Digital Twins and Cognitive Twins in the Enterprise
- Robots with Cognitive Skills
- Advanced A.I. Chipsets
- Serverless Computing
- Proprietary, Homegrown A.I. Languages
- Proliferation of Franken-Algorithms
- Companies Manipulating A.I. Systems for Competitive Advantage
This trend is related to the following industries:
Advertising and Public Relations, Aerospace, Agriculture, Airlines, Alternative Energy Production & Services, Architectural Services, Auto Manufacturers, Banking, Beauty, Broadcasters, Radio and TV, Builders/General Contractors, Cable & Satellite TV Production & Distribution, Casinos/Gambling, Chemical & Related Manufacturing, Civil Servants/Public Officials, Clothing Manufacturing, Commercial TV & Radio Stations, Construction, Covid-19/ coronavirus, CPG, Cruise Ships & Lines, Defense, Doctors & Other Health Professionals, Drug Manufacturers, Education Colleges & Universities, Education Online, Education Trades, Electric Utilities, Entertainment Industry, Environment, Finance, Foreign & Defense Policy, Gas & Oil, Government - International, Government - National, Government - State and Local, Health Professionals, Hedge Funds, Human Resources, Information Technology, Infrastructure, Insurance, Law Enforcement, Lawyers/Law Firms/Legal Industry, Luxury Retail, Magazines, Manufacturing, National Security, News Media, Online Media, Pharmaceuticals/Health Products, Private Equity, Professional Services, Professional Sports, Radio/TV Stations, Real Estate, Retail, Telecommunications, Trade Associations, Travel Industry, TV Production, TV/Movies/Music, Utilities, Venture Capital, Waste Management, Work (Future of)