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.
With the holidays—and a whole lot of 2015 strategic planning activities—behind us, you’re probably have a few gifts you’d like to return and hopefully, a few gift cards you’d like to make use of. If you were really good last year,Santa left you the budget needed to develop or enhance that mobile insurance app or site you’ve wanted.
But how do you spend that budget so that the app or site that results doesn’t disappoint like those sea monkeys or x-ray glasses that you also once wanted?
It’s not hard to uncover this kind of disappointment in the mobile insurance marketplace: Mobile services that are little more than insurer bill boards, require too much data entry from users, and lack features that users have come to expect from banks, retailers, and airlines. To play catch- up with competitors and quell internal political concerns, many insurance eBusiness and technology management teams were put on the spot, rolling out mobile functionality without considering if it solved a problem for customers. While this approach addressed the business urgency, these hastily -built mobile insurance apps often fell short.
The enterprise network is the ugly duckling of enterprise technology landscape, looked at disparagingly by CIOs and often ignored by the business. The enterprise network is much less exciting than all the fancy projects like cloud, mobility, and big data.
Yet the enterprise network represents the vital underpinning for all these projects and increasingly evolves into a business-critical asset for companies looking to succeed in the age of the customer. It becomes the nervous system of the digital business. It facilitates deeper customer engagement by connecting manufacturers, sellers, and buyers of products in new ways, and it helps drive more operational efficiencies as it supports closer collaboration and connects previously disjointed assets. For most business leaders, the network infrastructure isn't much more than a utility, such as electricity or plumbing, while most CIOs don't know how to monetize it. This is a business challenge for the connected business as:
The enterprise network enables business success in the age of the customer. Customer engagement, internal collaboration, and the emergence of digital products and services all rely on a quality network infrastructure. Moreover, network data and business intelligence turn the network into an asset for monetization. As a result, the enterprise network no longer functions as a commodity but becomes a key function for success in the age of the customer.
Cloud computing continues to be hyped. By now, almost every ICT hardware, software, and services company has some form of cloud strategy — even if it’s just a cloud label on a traditional hosting offering — to ride this wave. This misleading vendor “cloud washing” and the complex diversity of the cloud market in general make cloud one of the most popular and yet most misunderstood topics today (for a comprehensive taxonomy of the cloud computing market, see this Forrester blog post).
Software-as-a-service (SaaS) is the largest and most strongly growing cloud computing market; its total market size in 2011 is $21.2 billion, and this will explode to $78.4 billion by the end of 2015, according to our recently published sizing of the cloud market. But SaaS consists of many different submarkets: Historically, customer relationship management (CRM), human capital management (HCM) — in the form of “lightweight” modules like talent management rather than payroll — eProcurement, and collaboration software have the highest SaaS adoption rates, but highly integrated software applications that process the most sensitive business data, such as enterprise resource planning (ERP), are the lantern-bearers of SaaS adoption today.