An Executive Primer On AI Related Concepts, Applications and Vendors
There are a lot of terms flying around the term artificial intelligence. Many business people want to know more but find the topic gets muddled between highly academic and technical terms and concepts. This quick guide was put together as a primer on the main technologies, applications and vendors you should start to familiarize yourself with.
Virtual Agents includes everything from Amazon Alexa and Louise of eBay to website chatbots. So this is an early contact point for much of the public. But the real opportunity is in much more sophisticated industrial and medical applications. Keep an eye on Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft, Satisfi.
Speech Recognition: Analyzes live and recorded audio to recognize and turn human speech into data or for prompts in workflows or inputs. Paired with NLG you get fully automated customer service and transactions. This has been in Call Center IVRs (interactive voice response) systems for some time but there are a lot of mobile opportunities. Keep an eye on NICE, Nuance Communications, OpenText, Verint Systems.
Natural Language Generation: Generating text based on data has a lot of applications. Currently this is used most often in customer service, report generation, and summarizing business intelligence insights. Players to watch include Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, Yseop.
Decision Management: Enterprise decision management (EDM) or business decision management (BDM) currently focused on creating better insights for highly optimized operational decisions. This is where a lot of profits are going to come from.
Machine Learning Platforms: Mainly used for classifications and predictions this has massive commercial applications and good momentum in enterprises. A full range platform includes algorithms, APIs, development tools, model deployment and more. Sample vendors: Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree.
Hardware with Integrated AI includes chips, GPUs (graphics processing units) and appliances with integrated AI. The impact here goes way beyond consumer application like next gen gaming and entertainment generation. This is a critical technology that will accelerate deep learning. Watch out for Alluviate, Cray, Google, IBM, Intel, Nvidia.
Deep Learning Platforms pair well with big data applications especially for classification and pattern recognition. Look at Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology, Sentient Technologies.
About the Author
Michael Zammuto is the CEO of Cloud Commerce Consulting and Completed.com. He is also a contributor to Business.com and writes his own blog on Artificial Intelligence, Robotics, Big Data and Analytics.