IBM hosted an artificial intelligent (AI) event at its Munich Watson IoT HQ, where it underlined its claim as a leading global AI and internet-of-things (IoT) platform providers in the enterprise context. AI and the IoT are both very important topics for enterprise users. However, there remains some uncertainty among enterprises regarding the exact benefits that both AI and IoT can generate and how businesses should prepare for the deployment of AI and IoT in their organizations.
One year into the launch of its Munich-based Watson IoT headquarters, IBM invited about one thousand customers to share an update of its AI and IoT activities to date. The IBM “Genius of Things” Summit presented interesting insights for both AI and IoT deployments. It underlined that IBM is clearly one of the leading global AI and IoT platform providers in the enterprise context. Some of the most important insights for me were that:
AI solutions require a partner ecosystem. IBM is well aware of the fact that it cannot provide IoT services on its own. For this reason, IBM is tapping into its existing partner ecosystem. Those partners are not only other vendors. IBM’s ecosystem partnership approach embraces also customers such as Schäffler, Airbus, Vaillant, or Tesco. The event demonstrated how far IBM has matured in living and breathing customer partnerships in the IoT solutions space. For instance, IBM’s cooperation with Visa regarding secure payment experiences for any device connected to the IoT is an example of a new quality of ecosystem partnership.
IBM opened its global Watson Internet of Things (IoT) headquarters in Munich this week. It is hardly unusual for this quintessential global business to open research centers on a global scale. But the decision to move the HQ for one of the most dynamic areas of the digital transformation arena to Munich is noteworthy for several reasons. The move underlines that:
IoT has a very strong B2B component. Yes, IoT will play a role in consumer segments such as the connected home. But connectivity limitations and costs, compliance, and security will put many IoT ambitions in the consumer space to rest. The real action will be in the B2B space, where IoT will be elemental to drive activities like predictive maintenance, fleet management, traffic management, supply chain management, and order processing. Forrester expects the market size for B2B eCommerce, of which IoT is a subset, to be about twice that of B2C by 2020.
IoT and big data are closely intertwined. The real value of IoT solutions will not come from the hardware components of connected assets but from the data they generate and consume. In order to manage and make sense of the data that connected assets generate, cognitive systems and machine learning will play a fundamental role for the evolution of IoT. “Employing” Watson in the IoT context elevates IBM’s role in the IoT market significantly.
By "robots," we mean all forms of automation technologies, including those that conductphysical tasks, intellectual tasks, or customer service tasks (which mix elements of both physical and intellectual activities, but which constitute a distinct category in the age of the customer). Indeed, some impressive new technologies are becoming incredibly useful in a variety of organizational settings. Take, for example, Rethink Robotics' Baxter robot, seen in the video below. Unlike traditional industrial robots, it's safe for workers to be around Baxter -- and it's imperative, too. Because software engineers don't program Baxter; human colleagues simply move the robot's arm to teach it new actions, and it learns in real time.