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At this point is there any need for us to get involved with the old-world stages of motivation and vision and discovery and finally an action decision? Perhaps at the first conscious trigger point for us, say a particularly uncomfortable episode during which we feel really mad at the boss and perhaps text something about this to a trusted colleague, our personal AI simply lights up the screen of the smartphone and advises us that we now have a new job working in the data science group at a global social networking firm for twice the annual take-home that we now make plus stock options. Our AI has been negotiating with the firm's AI for at least the last several seconds and they have determined that our professional qualifications, personality type, geographical preferences, curiosity and predilection for innovation make a superior match with the firm's hiring profiles. The plane ticket is already booked, our 401K already transferred.
Digital transformation is a process that has been underway for some time. It is a wide-ranging overhaul of the way organisations do business both internally and externally. It includes changes to technology and culture from users to developers, operations teams to the C-Suite. On the technology side, organisations have taken advantage of APIs to integrate with suppliers and key customers. This removes paper from the workflow reducing both delays in entering data and the risk of keying errors.
IBM is betting its future revenue growth on cognitive computing, but Watson and the gang remain a work in progress. With IBM's first quarter earnings report it was clear that Big Blue can manage its bottom line well, but revenue continues to decline over time. IBM is a tough ship to turn and it is trying to break out in cloud services and analytics. But the big question to date has revolved around Watson. Watson is IBM's cognitive computing brand, but it has been unclear how scalable the technology is. As a result, IBM has been buying up analytics companies and rolling them up under the Watson brand.
IBM (NYSE: IBM) today introduced new cognitive capabilities for IBM Watson Marketing Insights, a cloud-based offering that continuously examines customer behavior and learns how it may impact the success of the business. With these insights marketing teams can take action to launch targeted campaigns designed to turn all customers into brand loyalists who are helping drive business success. IBM Watson Marketing includes audience insights, a cognitive feature that reveals key predictors in customer data based on their interactions with the brand across channels including email, digital, social media and in-store, as well as customer attributes. This data is continuously updated, revealing new audience profiles and customer segments as the relative importance of their behavior predictors changes. As a result, marketers get a line of sight into a customer's potential response to a new campaign, based on previous behavior.