How often you communicate using various messaging applications? My hunch you might use it more often that voice call these days. Text messages, iMessage, Facebook Messenger, Skype, Google Hangout Chat. One of the things that caught my attention recently is a growing interest in chat and messaging applications. I remember one of the first experiences with ICQ chat (actually, it was 20 years since ICQ was launched). But messenger is not only a way to communicate. Lately, I can see messenger related projects that are aiming high and transforming messenger into personal assistant or collaboration platforms – Facebook “M” makes messenger your personal assistant or matching Slack with personal assistant.
I think treating chat as an operational system or platform in general will be huge. Artificial Intellegence will seep into chat apps, and the core features of other apps will as well.
Slack is the application I started to follow for some time. I also use it for my team communication. I shared my thoughts why I think Slack can be a good communication tool for engineers. In my view, Slack is a good candidate to become a platform for future engineering applications.
One of the things I specially like in Slack is the development of so called Slackbots. I can see a growing interest into the development of app store for Slack with variety of tools as the Slackbot infrastructure materializes. It might reboot classic apps treating Slack as a platform.
Here are few examples of materials that can give you an idea of how to develop Slackbots. Navigate to the following link on Slack website – Slackbot: your assistant, notepad & programmable bot. Another interesting article is explaining how to control your Slackbot from external services.
Slackbot, the handy (but also annoying) assistant buried within communications platform SlackHQ, may soon be a lot more useful. Speaking to The Wall Street Journal, Slack CEO Stewart Butterfield says Slackbot may one day be more useful than Siri. Typically accessed via Slack’s direct message feature, Butterfield says Slackbot may soon have access to machine learning and natural language processing. The goal seems to be for Slackbot to automate things like scheduling meetings or resurfacing messages you were mentioned in but didn’t respond to. The goal is to turn mundane events like scheduling meetings or keeping tabs on a team into boilerplate issues. If a company were to use Slack as a hub to manage projects, a post from an employee about being stuck on that project may spark Slackbot’s interest.
The following video can give you a quick crash course how to build Slackbot to communicate with Google Analytics.
If you have more hardcore programming skills, you can see how to setup and control Slack using webhooks. You can appreciate technology and API support. Navigate here for more – Setting up and Using Slack Webhooks.
What is my conclusion? I think, Messenger platforms are extremely interesting and we are in the early beginning of learning how to bridge messengers with enterprise applications and services. It can solve many problems related to user experience we have in legacy enterprise software tools. CAD and PLM are good places to experiment. Think about design bot assistant or change management app robot. This is an interesting place for innovation and future tech experiments. Just my thoughts…