We had the pleasure of attending the IBM Watson Partner Symposium in Paris last week and the even greater pleasure of meeting Watson-powered Pepper robot. Pepper epitomizes the cognitive era, in which systems are capable of thinking and engaging like humans; through senses, learning and experience. Watching Pepper interact with the audience drove the point home: the cognitive future IS now.
During the course of the event, we had the opportunity to listen and learn from a network of IBM executives and distinguished engineers, as well as respected professionals and partners. Here are three takeaways from the conference that we would like to share with you:
1. How do we make sense of noisy, messy data?
This question was posed by Duncan Anderson, CTO IBM Watson. One of the most powerful tools every organization has at its disposal is its data, but due to the recent explosion of digital data is has become nearly impossible for organizations to use or understand all their data, let alone act on it in a timely manner. To add fuel to the fire, the majority of data growth is from ‘hidden’ or ‘unstructured’ data, making it even harder to gain visibility or identify significant trends.
By incorporating cognitive technology, like IBM Watson, organizations are able to interpret and analyze vast amounts of data, including structured and unstructured data, to generate insights that can be used to respond quickly to market changes, enhance value proposition, or improve business decisions. A broad platform of Watson language, vision, speech, and data APIs is available to help power your applications, differentiate your solution, and grow your business.
2. Expertise matters more today than ever before
IBM’s compelling storyteller, Barbara Koch, popularly known as @social_babs, reminded us that expertise matters more than ever before, as customer expectations demand the right information, at the right time. Coming to our aid, cognitive technology can be used to help us process/understand natural language, request additional information to improve responses, ingest and analyze the information, and come to a conclusion or evidence-based decision with confidence. A great example of this is “Connie,” the world’s first hotel concierge robot that is a collaboration by Hilton Worldwide and IBM.
Also read: 3 Ways to Transform Your Hotel Operations
3. Perception Vs. Reality
As we listened to multiple partner testimonials, across varying industries, an important lesson was conveyed: don't be fooled by the hype.
IBM Cognitive Forum with Partners: Bibi Rosenbach, Kryon Systems; Ignacio de Cordoba, Skios; Taoufik Amri, Keyrus
Applying cognitive capabilities to your application and business models will enable better complex data-driven decision making, help professionals do their jobs better, and solve important business challenges. According to Bibi Rosenbach, CEO at Kryon Systems, a leader in robotic process automation (RPA) solutions, "the next-generation of automation will be cognitive RPA" and Kryon Systems has already taken the first steps to integrating cognitive technology into their solutions. While all the panelists agreed that cognitive technologies will expand the scope of their products, they also reiterated that research and due diligence is needed to increase the cases for success.
As Jean-Francois Puget, Distinguished Engineer at IBM Watson, simply put: "There seems to be a misconception between perception vs. reality. Machine learning does not equal algorithm." Creating a cognitive model that is successful requires effort, training, deployment and a continuous feedback loop to ensure optimal results.
Kryon Systems is committed to assisting organizations realize their key performance indicators (KPI) and digital transformation goals by providing intelligent automation solutions. To this end, we offer a comprehensive solution to the business user in the form of Leo Performance Support as well as a cost-effective answer to efficient process execution with Leo Robotic Process Automation (RPA).
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