Amazon Alexa for Business vs. Cortana (discontinued)

Virtual assistants at work are still new features and have a lot to improve. 
The more features we have, the more we want new features. 
In small environments we have "noise" between virtual assistants, making use inappropriate. 
But in more distributed environments it is very good.
We still have a lot to learn (both, us and our Alexas). 

It's easy for anyone who is expecting some simple AI problems like fetching the keywords, understanding the intent, language translation, etc. to be solved from an existing database and all they need is to connect to their APIs via a subscription model. But for complex use cases, there is still room for improvement like customization of underlying AI models for a specific use case like identifying some unique identifiers with respect to industry.

Incentivized

• Communication between people on the team.
• Interactive personal assistant.
• Better workspace management.

• Being hosted in Azure solves a massive hosting problem
• The language understanding system has the ability to revolutionize many vertical markets
• Integrating with Cortana Analytics was really simple due to easy to understand documentation

Incentivized

• Could have a feature for group chats.
• Alexa has some problems hearing nearby voices.
• Website suggestions are irrelevant sometimes (should have user evaluation functionality for the answer, improving accuracy).

• More partnerships with colleges and schools to increase the workforce with technical knowledge (increase local workforce)
• Have more online training and documentation in other languages
• Have affordable prices for students

Incentivized

We looked at two other alternatives: Google Nest and Apple. But Alexa already has popular devices that many people on the team already had in their homes. And it would be easier to integrate into the professional environment. The cost of Amazon products is also much lower, which makes the product more competitive.

IBM Watson Assistant has been early into this market and has improved a lot over time compared to Azure AI Cortana. More documentation related to the services. But Ease of integration Azure AI ranks over IBM Watson Assistant. And again in terms of services offered under the ecosystem, Azure AI precedes IBM Watson Assitant.

Incentivized

• Difficulties with technology integration.
• Identify all possible uses.
• We still lost a lot of time making new settings.

• Difficult to ascertain the ROI as we are a software house who have developed a module in our application using Cortana. However for companies that use our software I would say the use of sentiment analysis in our application could free up at least 1 full time resource to be used elsewhere in their organisation.

Incentivized