Thomas H. Davenport Quotes

Similarly, one of the most popular HR tools at GE Digital — an early adopter of AI for manufacturing applications — shows workers which jobs in the company are natural next steps from the ones they have now.12 Employees can look privately at the tool to see possible paths they can follow, skills they may need to acquire, or even positions that are open. This helps employees feel that they have more opportunities and that they have more control over their positions in the company.

Every decade or so, the business world invents another term for how it extracts managerial and decision-making value from computerized data. In the 1970s the favored term was “decision support systems,” accurately reflecting the importance of a decision-centered approach to data analysis. In the early 80s, “executive information systems” was the preferred nomenclature, which addressed the use of these systems by senior managers. Later in that decade, emphasis shifted to the more technical-sounding “online analytical processing,” or OLAP. The 90s saw the rise of “business intelligence” as a descriptor. In the middle of 2000’s first decade, “analytics” began to come into favor, at least for the more statistical and mathematical forms of data analysis.

The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big-data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big-data project.

One other problem is that too many people — and vendors in particular — are already using big data to mean any use of analytics, or in extreme cases even reporting and conventional business intelligence.

the use of statistical process control tools to evaluate variation, correlate root cause, forecast capacity, and anticipate throughput barriers. By measuring incidence of preventable venous

Since Rosenthal came up with the recommendation idea, Morgan Stanley has been working on a next-best-action (NBA) system to provide its advisors with financial insights to present to clients.

Some organizations are attempting to predict the nature of future jobs and the skills they will require. This is, of course, difficult or impossible to do with any precision.

Another AI-oriented company that has established several ecosystems — also in partnership with Palantir, in which it has made a substantial investment — is SOMPO Holdings, a large insurance and elder care company based in Japan. SOMPO

The businesses and organizations that succeed with AI will be those that invest steadily, rise above the hype, make a good match between their business problems and the capabilities of AI, and take the long view.

Business process reengineering encompasses the envisioning of new work strategies, the actual process design activity, and the implementation of the change in all its complex technological, human, and organizational dimensions

Peter Drucker wasn’t exaggerating when he noted that the fate of advanced economies depends on making knowledge workers more productive. There is no business or economic issue that is more important to our long-term competitiveness and standard of living.

We believe that every large organization — and certainly those that are or aspire to be AI first — should designate smart people to follow AI technology trends, try out new technologies, and import them when they seem to fit the organization’s needs. These people don’t need to be fantastic data scientists or AI engineers, but they do need to understand the key technologies in AI and how they support use cases and business needs.

Attention is focused mental engagement on a particular item of business. Items come into our awareness, we attend to a particular item, and then we decide whether to act.

The moment a realm of intellectual activity is codifiable, it ceases to be uniquely human.

In definitional terms, a process is simply a structured, measured set of activities designed to produce a specific output for a particular customer or market. It implies a strong emphasis on how work is done within an organization, in contrast to a product focus’s emphasis on what. A process is thus a specific ordering of work activities across time and space, with a beginning and an end, and clearly defined inputs and outputs: a structure for action.