We’ve discussed how the term artificial intelligence (AI) covers a wide array of applications; just like many of these functionalities, affective computing is beginning to see some growth in the market. Spanning across computer science, behavioral psychology, and cognitive science, affective computing uses hardware and software to identify human feelings, behaviors, and cognitive states through the detection and analysis of facial, body language, biometric, verbal and/or vocal signals.
IT has always had to support audits and certifications and navigate through what seems like constantly changing requirements. Compliance was visible to the board and IT had to answer to the board. That visibility, though, was rarely outside the building – and historically more top of mind for the CFO, the audit committee, internal audit and the CIO.
“Architecture is not about installing infrastructure, but designing ways that information is stored and moved,” says Joe Spagnoletti, CIO of US LBM, a $3 billion specialty distributor of lumber, roofing, siding, and other building materials across 30 states. “When it comes to technology, we want to stay ahead of our competition, but not our technology partners,” he says.
Before diving into the key actions you can follow to transform your procurement organization, let’s consider a recent scenario I heard from a client. This will give you a better picture of the kinds of problems the key actions provided further in this article can help you tackle.
There is an often-quoted economic theory that describes the balance that occurs when competitors in a market of a fixed size win or lose share depending on the success or failure of the other. The “zero sum game” (as it is known) has been cited so often since the financial crisis of the late 2000’s slowed global growth, that its continued use is becoming something of a cliché.
Data governance has taken on a new urgency in the digital economy for two reasons: 1) Increasingly, business decisions are influenced or made outright by automated systems driven by analytics, algorithms, and artificial intelligence that require trustworthy, high-quality data for good results; 2) Regulatory scrutiny of data integrity and access controls is now more frequently required to meet security, privacy, and ethics requirements.
The DX platform is the future technology architecture that accelerates DX initiatives for the Enterprise. It enables the rapid creation of externally facing digital products, services, and experiences while aggressively modernizing the internal IT environment toward an “intelligent core” in parallel. Organizations that can “re-architect for scale” using the DX platform approach will stand out as most likely to be “digitally transformed” over the next three to five years and emerge as a digital native enterprise in that time frame.
Digital transformation (DX) is causing a shift in the enterprise. Business leaders must rely on new KPIs for effective IT measurement. This blog covers the shift from traditional IT KPIs to the new KPIs that are being demanded as organizations are disrupted by digital transformation.