These leading Natural Language Processing vendors can help AI deployments "learn" how to listen and interact with humans. As more and more companies adopt artificial intelligence (AI) in a variety of sectors, these AI are inevitably put in positions where they have to interact with human beings. From customer support chatbots to virtual assistants like Amazon's Alexa, these use cases necessitate teaching an AI how to listen, learn, and understand what humans are saying to it and how to respond. One method for teaching AI how to communicate with humans is natural language processing (NLP). Sitting at the intersection at AI, computer science, and linguistics, natural language processing's goal is to create or train a computer capable of not just understanding the literal words humans say but also the contextual implications and nuances found in their language.

"We shape our tools and, thereafter, our tools shape us." Making astute technology decisions at the inception of your chatbot journey has a significant impact on what your chatbot's trajectory will be. Choose and shape your tools wisely. Because, later in the process those tools will shape and influence the way you plan, develop, scale your chatbot. Impediments are usually system or framework related.

You want a conversational artificial intelligence (AI) platform? No problem--you just need to choose one. But don't stop now: There are hundreds of options (from Kore.ai to SAP to Cisco's MindMeld to etc. etc.). Rasa's approach just might stand out. "We think that infrastructure for conversational interfaces in the long run will be open source," said Tyler Dunn, a product manager at Rasa.

On the other hand there are a whole host of NLU / NLP tools which are open source, powerful and can be locally installed. State of the art algorithms are available with generally excellent documentation. Prototyping and demo applications can fairly easily be created. Special hardware is in most cases not required and making use of virtual environments like Anaconda, installations can be performed efficiently on a PC and visually impressive demonstrations and prototyping can be performed. No cost is involved, and NLP API's can be created to use within an organisation.

Private sessions are available on the day of or after depending on availability. Advisory services are also available on a selective basis via CEO Global Pro. Please note: If you want to know if specific concepts are covered or advisory services, please email cross@gocross.com The author and presenter have used their best efforts in preparing this seminar and the programs contained in it. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The author and presenter make no warranty of any kind, expressed or implied, with regard to these programs or the documentation contained in this seminar. The author and presenter shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs.

The author and publisher of this book have used their best efforts in preparing this book and the programs contained in it. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The author and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation contained in this book. The author and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs.

The following is an excerpt to Chapter 4: Expert Systems – Language Mapping of MindMeld: CEO & AI Merging of Mental & Metal book available now from iBooks – Available on iPhone, iPad, iPod touch, and Mac. Book Review – "As the CEO of a energy industrial company and actively involved in CEO Leadership Forums I have been following AI for more than a decade. Indeed the promises for improving many technical tasks are interesting yet in reality often prove more complex to manage than proposed. MindMeld was very profound in proposing that AI starts not at the bottom of the organization but with CXO decision-making and worth reading by anyone in or rising to the boardroom." For interviews, professional guidance, product/market research or evaluations, articles, speeches or presentations as well as CEO Executive Seminar on AI, please contact cross@gocross.com

The following is an excerpt to Afterward: Future Thoughts of MindMeld: CEO & AI Merging of Mental & Metal book available now from iBooks – Available on iPhone, iPad, iPod touch, and Mac. Book Review – "As the CEO of a energy industrial company and actively involved in CEO Leadership Forums I have been following AI for more than a decade. Indeed the promises for improving many technical tasks are interesting yet in reality often prove more complex to manage than proposed. MindMeld was very profound in proposing that AI starts not at the bottom of the organization but with CXO decision-making and worth reading by anyone in or rising to the boardroom." For interviews, professional guidance, product/market research or evaluations, articles, speeches or presentations as well as CEO Executive Seminar on AI, please contact cross@gocross.com

The author and publisher of this book have used their best efforts in preparing this book and the programs contained in it. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The author and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation contained in this book. The author and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs. Please submit any corrections to cross@gocross.com

We're all familiar with Siri, Alexa, and Google Assistant--virtual assistants that help you save time and get things done at home like check the weather, turn on your TV, set a reminder, or summon your car from the garage. These products are great in your personal life, but what about at work? Have you ever been late for a meeting, either because you don't know how to connect or you're wandering the halls trying to find an available room? How many times have you forgotten to record a meeting or write down action items? What if you had a virtual assistant that could do all of those things and more? Imagine how much more productive you could be by focusing on what's important – getting work done with your team.