In my experience discussing and delivering IBM Watson cognitive computing services to my clients, the single most common question I almost always receive from CXOs is - How long will it take for us to train Watson to complement the job my people are doing? Well the reality is, it is a sizable effort in any implementation that goes into training Watson with customer specific data.
With IBM releasing prepackaged and pre-trained Watson AI Tools, it definitely will reduce the training lead times. Thereby helping clients reduce the time to market for several of their Watson based initiatives.
For instance, IBM Watson Decision Platform for Agriculture gathers data from multiple sources – such as weather, IoT enabled tractors and irrigators, satellite imagery, and more – and provides a single, overarching, predictive view of data as it relates to a farm in an easy-to-use app. Thereby helping the individual growers make informed decisions and improve the yield. If you are interested, below is the detailed announcement regarding the pre-trained industry Watson packs that are becoming available.
Ever thought of using IBM BPM process to fetch the
speed of the vehicle running on the road or may be disabling a vehicle remotely
if it is stolen. Neil Kolban @IBM created an awesome demonstration putting
together Watson IoT platform, IBM Bluemix APIs and open source platforms like
Chip, Raspberry PI. He uses Open API to describe the services to call, IBM API
Connect and Node Red flow to build this with almost no coding. Finally, makes a
rest API calls from a simple IBM BPM process.
Love the mash-up of the technologies and what can be
done with no coding experience! Shout out to you Neil for a great
demonstration.
