AI Technology VS Value

Last Updated: 25.10.2019

Today we have four main tech giants that are working with AI technologies — Google, IBM, Amazon, Microsoft.

Each of this companies is trying to promote the AI technologies in the market; each of them has a platform where developers and users can get access to the AI tools and try them.

A high-level overview of the services:

IBM — IBM Watson (Watson Assistant, Discovery, Knowledge Studio, Natural Language Classifier, etc.)

Amazon — Amazon Machine Learning (Lex, Polly, , Transcribe, Translate, etc.)

Google — Google Cloud AI (Dialog flow, Cloud Natural Language, Speech to text, Translation, Vision, etc.)

Microsoft — Microsoft Cognitive Service (Language Understanding (LUIS), Linguistic Analysis, Computer Vision, etc.)

What can you do?

You can easily create a chatbot that will understand the natural language and will provide the answer or will make any action you want to do. You also can easily make integration with facebook messenger or slack or other communication tools.

Chatbots can bring a huge benefit into the areas where we have a lot of routine work, in many cases, this links to the business, you can think about the small pizza restaurant, or you can think about the big corporates like Nestle, Volvo, etc.

In first case chatbot can be used for automation of external business processes (communication with clients, pizza orders), in the second case, we can talk about the internal business processes (IT Service Desk, HR, CRM, etc.).

Vision

Probably you saw the Google I/O 2018 keynote, it was so amazing to see what we can do with AI technologies. Google is a good example of the deep integration of AI technologies in our daily life; they are trying to add value to the technologies. Value is core aspect in attracting more and more people to use their services.

Value

Value is the biggest blocker in technology evolution. Without the value, technology will not evolve.

Corporates in each industry (Banking, Travel, Retail, Healthcare, Service) trying to create this value by themselves, AI technologies can benefit them, create competitive advantages and bring many wins. They are establishing new departments, hire new people for adopting new technologies. Technologies themselves are not bringing any value, especially AI technologies, you need to adopt them, train ML models, prepare label data and make a lot of other steps to transform the technologies into the value.

Corporates are trying to do this because there is no solution on the market can meet their requirements, improve their business immediately without providing additional work.

There is a blue sky opportunity for building smart machines (adding value) on to the top of technologies for the corporates. Machines that have predefine knowledge domain, skills or agents - will have the better market position. I will give you a simple example; there was a startup API.AI that was acquired by the Google. They had technologies to build conversation bots, and they did one step further, together with tools and instruments for building the bots, they have created predefined agents, which you can add to your bot (predefined agents — weather, banking, alarm, flights, events search). This predefined agent brings a lot of value.

Another example Amazon Alexa, when Amazon launched Alexa, there was a limited amount of Alexa Skills, but even this limited amount of skills was enough to create a new market niche. Amazon gave access to each developer possibility to create new skills, in parallel a lot of people in Amazon working hard on adding new skills to Alexa. Not the Alexa box bring the value to the customers but her skills. Every year Alexa become more valuable to customers because of her new Skills and capabilities.

It is not enough to have just technology; we need to add new skills and knowledge to those technologies to make them more valuable for us.

Regards,

Andrii, CEO @ Hala.ai