The artificial intelligence ( AI ) technology market is flourishing. Beyond the hype and increased media attention on the subject, many startups and Internet giants seeking to acquire them, there is a significant increase in investments and their adoption by companies.
A Narrative Science survey found that last year, 38% of companies were using AI and this number is expected to increase to 62% by 2018. Forrester Research has predicted an increase of more than 300% in ‘ IA in 2017 compared to 2016. The research organization IDC ( International Data Corporation ) estimates that the market of the AI which weighed almost 8 billion euros in 2016 should pass to more than 47 billion euros now until 2020.
Invented in 1955 to describe a sub-discipline of computing, artificial intelligence today includes a variety of technologies and tools, some older than others. Forrester recently released a TechRadar report on artificial intelligence (aimed at application development professionals), a detailed analysis of 13 technologies that companies should consider adopting to support and support the decisions of humans.
Automatic generation of text: Production of text from computer data. Currently used in customer services, reporting and business intelligence synthesis. Examples of suppliers: Attivio, Cambridge Semantics, Numerical Reasoning, Lucidworks, Narrative Science, SAS, Yseop.
Automatic Speech Recognition: Transcribing and transforming human speech into a useful format for computer applications. Examples of suppliers: NICE, Nuance Communications, OpenText, Verint Systems.
Virtual Agents: ” The Media Darling ” after Forrester. From simple chatbots to advanced systems that can communicate with humans. Currently used in customer services and as smart home managers. Examples of suppliers: Amazon, Apple , Artificial Solutions, AI Assist, Creative Virtual, Google , IBM, IPsoft, Microsoft, Satisfied.
train, and deploy models in applications, processes, and applications. other machines. Currently used in a wide range of enterprise applications, primarily involving prediction or classification. Examples of suppliers: Amazon, Fractal Analytics, Google , H2O.ai, Microsoft, SAS, Skytree.
Hardware optimized for AI : Graphical processors and specially designed devices designed to efficiently run AI – oriented computer work. Examples of suppliers: Alluviate, Cray, Google , IBM, Intel, Nvidia.
Decision support: Engines that insert rules and logic into AI systems, used for configuration, maintenance and tuning. A mature technology, used by a wide variety of business applications, assistance or automated decision making. Examples of vendors: Advanced Systems Concepts, Informatica, Maana, Pegasystems, UiPath.
Deep learning: A special type of machine learning consisting of artificial neural networks. Currently, it is mainly used in pattern recognition and classification applications, supported by a very large database. Examples of suppliers: Deep Instinct, Ersatz Labs, AI Fluid, MathWorks, Peltarion, Saffron Technology, Sentient Technologies.
tactile recognition, speech, and body language. Mainly used in market research. Examples of suppliers: 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, Tahzoo.
Robotic automation: Use of scripts and other methods to automate human action, in order to effectively support certain trades. Currently used where it is too expensive or inefficient for humans to perform a task or process. Vendor Examples: Advanced Systems Concepts, Automation Anywhere, Prism Blue, UiPath, WorkFusion.
Text Search and NLP: Natural Language Processing (NLP) uses and supports the analysis of text by facilitating the understanding of the structure and meaning of sentences, feelings, and intent through statistical and statistical methods. automatic learning. Currently used in fraud detection, security, automated assistants, and applications for unstructured data mining. Examples of suppliers: Basis Technology, Coveo, Expert System, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, Synapsify.