How To Use Watson To Transform The Way We Work
Inhi Suhon 21 February, 2017 at 03:02
What is the most effective way to work?
Working on the IBM Collaborations team has given me the opportunity to think about the meaning of collaboration and observe how work gets done: the people, processes, chemistry, when it works, when it doesn’t, and the technology that facilitates it.
Different patterns emerge depending on if you’re an industrial designer, pharma researcher, an artist, or merchandise specialist, and so on. It’s personal and contextual — co-creation and sharing of content or an idea that matters, and having the right conversations and information surface one-to-one, in groups, and even with machines.
According to a Workforce Transformation Survey by market research firm IDC, employees reported wasting 8.14 hours per week searching for people they needed to perform their jobs. They also wasted 7.36 hours looking for information and 7.38 hours for looking for data.
No matter who you are or where you work, there are certain fundamental things we do at work. We work on and with content (documents, images, videos, or products). We work together in teams (small, large, or remote). And we tend to follow a method or process to achieve an outcome.
What is changing is “how” we work.
The forces of mobile, cloud, social are changing the digital aspects of work, definitions of workforce, and our personal expectations of the tools and services we use. The digitization of all interactions, mobility of workforce and workplaces, and the growing accessibility of data and analytics gives us an opportunity to innovate differently together.
This is why we are putting IBM Watson to work through cognitive-infused workplace tools and applications designed to enable individuals and teams to work more efficiently and effectively. We’ll integrate our offerings in audio, video, team collaboration, enterprise social networks, and business email. And we will be jointly developing new capabilities that take advantage of the cognitive intelligence of Watson.
By incorporating advanced analytics and Watson into these solutions, we’ll enable enhanced contextual experiences for users. Our strategy is to build an open and connected platform that allows individuals and teams to use the workplace tools they want in more intuitive and integrated ways.
The goal is to help users orient their days, anticipate actions they need to take, and have more seamless experiences across workplace tools. Some examples of the Watson APIs that we’re using include:
- Natural Language Classification to analyze messages into categories, such as personal or work, while identifying positive or negative sentiment.
- Sophisticated Natural Language processing, which uses techniques to analyze users’ content for patterns. These processes could understand a car manufacturer’s make and model and analyze traffic incident reports to look for underlying patterns.
- Social Extraction to analyze news articles and use statistical modeling to perform linguistic analysis of the text and then extract the relationships between the content.
- Text Analytics to extract unstructured and semi-structured data for analysis.
The goal is to help users decide what activity to do first, and then what to do next. The powerful set of tools and cognitive capabilities that the partnership will provide will help realize the true promise of workplace collaboration, for organizations of all shapes and sizes.
We are taking the next step on the journey to create the next generation of collaboration designed to help clients compete and thrive in the Cognitive Era.