Many tasks in which humans excel are extremely difficult for robots and computers to perform. Especially challenging are decision-making tasks that are non-deterministic and, to use human terms, are based on experience and intuition rather than on predetermined algorithmic response. A good example of a task that is difficult to formalize and encode using procedural programming is image recognition and classification. For instance, teaching a computer to recognize that the animal in a picture is a cat is difficult to accomplish using traditional programming. Read More
The Industrial Internet of Things seems to be in full swing, as the digital transformation of business operations and customers engagement models promises to bring about radical business improvements, new customers and additional revenue streams.
And technology innovations continue to keep the conversation alive, as hardware miniaturization, reduced power consumption, falling hardware prices, and ubiquitous wireless connectivity proliferate and power practically all new products.
The confluence of new technologies and innovative business models fuels the growth of the Industrial Internet of Things. There are plenty of compelling arguments—both business-oriented and technology-induced—that the Industrial Internet of Things will, indeed, lead to a radical transformation in practically every business sector.
The Seduction of Data
Industry 4.0 promises to bring our factories to the 21st century. Thanks to the pervasive digitalization of manufacturing assets, we can now collect and track detailed manufacturing operations data. Lots of it, in real time, all the time. We can analyze it, trend it, and share it across the extended enterprise, again, in real time if we wish to.
But does having more data promise better decisions? Not necessarily. Read More
Rapid Growth in Times of Uncertainty
The industrial Internet of Things (IoT) is enabling and accelerating the convergence of three key technology and business model shifts that are fueling the digital transformation of every industrial enterprise:
- Connectivity. The number of connected devices and mobile devices is growing at an increasingly faster pace, emanating massive amounts of real-time information that enables deep insight about themselves and the environment around them.
- Cloud Computing. After years of hesitation, cloud technology is finally becoming a mainstream business platform and a growth engine. New information systems and business operation constructs can be deployed and scale quickly and cost effectively, as connected assets and mobile devices deliver decision-making power to all ranks in the organization.
- New Business Models. Cloud-connected assets and customers, coupled with real-time information and decision-making capabilities form the foundation for new ways to engage the business and its customers. Businesses can deploy innovative customer-centric outcome-based engagement models and respond to changing market conditions with greater agility and flexibility.
Industry is making strides in developing Internet of Things technologies and articulating the potential business value of industrial IoT and Industry 4.0 solutions. The upcoming years of the IoT evolution will be characterized by rapid technology acceleration, as the vision of an always-connected world, in which everything and everybody is connected, is becoming an everyday reality.
And company leadership is under pressure to seize the opportunity. Eager technology vendors, enthusiastic investors and analysts, and deluge of breathless headlines, all entice corporate management to jump on the IoT bandwagon before it’s too late.
SAP Leonardo is the company’s new Internet of Things platform touted as a cloud-based “digital innovation system.”
SAP’s apt tagline: Intelligently connecting People, Things and Business, links the platform’s key constituents: devices, people and businesses to a portfolio of technologies and business services we have come to expect from an IoT business platform, such as device management APIs, big data, BPM, and analytics, and with the obligatory catchwords AI and machine learning sprinkled on top.
The concept highlights SAPs strengths in integration and a rich portfolio of microservices that could potentially include billing, enterprise asset management (EAM), contract management, and other key services that make up a complete outcome-based IoT solution. It also includes the all-important business transformation services (which, for some reasons, are classified on Leonardo’s website as Design Thinking).
But you may have not noticed a point that I find critical and SAP does spend much time articulating, and that is people’s Experiences, at the very bottom of the image on the right. Read More