Although a bank's business has basically stayed the same over the last couple of decades, how a bank operates has drastically shifted. The fundamental pillars of a bank, according to Mike Telang, executive vice president and head of enterprise architecture at Wells Fargo, now focus on mostly security, regulation, and innovation. Everything you need to know about AI An executive guide to artificial intelligence, from machine learning and general AI to neural networks. When it comes to technology trends in the financial services industry, Telang said its impact on a bank depends heavily on where the bank is in its maturity lifecycle. "I think it depends on the lifecycle of the maturity of where you are as a bank at that point in time and you've got to find a solution for that ... you have a lot of trends like blockchain, you have a lot of trends like security, so we are applying the technology to the use case that suits us best," Telang said during a panel session at VMworld 2019 in San Francisco last week.

Although a bank's business has basically stayed the same over the last couple of decades, how a bank operates has drastically shifted. The fundamental pillars of a bank, according to Mike Telang, executive vice president and head of enterprise architecture at Wells Fargo, now focus on mostly security, regulation, and innovation. When it comes to technology trends in the financial services industry, Telang said its impact on a bank depends heavily on where the bank is in its maturity lifecycle. "I think it depends on the lifecycle of the maturity of where you are as a bank at that point in time and you've got to find a solution for that ... you have a lot of trends like blockchain, you have a lot of trends like security, so we are applying the technology to the use case that suits us best," Telang said during a panel session at VMworld 2019 in San Francisco last week. Looking at emerging technologies, Telang described the challenges Wells Fargo has faced in adopting machine learning (ML) and artificial intelligence (AI).

Although a bank's business has basically stayed the same over the last couple of decades, how a bank operates has drastically shifted. The fundamental pillars of a bank, according to Mike Telang, executive vice president and head of enterprise architecture at Wells Fargo, now focus on mostly security, regulation, and innovation. When it comes to technology trends in the financial services industry, Telang said its impact on a bank depends heavily on where the bank is in its maturity lifecycle. "I think it depends on the lifecycle of the maturity of where you are as a bank at that point in time and you've got to find a solution for that ... you have a lot of trends like blockchain, you have a lot of trends like security, so we are applying the technology to the use case that suits us best," Telang said during a panel session at VMworld 2019 in San Francisco last week. Looking at emerging technologies, Telang described the challenges Wells Fargo has faced in adopting machine learning (ML) and artificial intelligence (AI).

Commitments capture how an agent relates to another agent, whereas goals describe states of the world that an agent is motivated to bring about. Commitments are elements of the social state of a set of agents whereas goals are elements of the private states of individual agents. It makes intuitive sense that goals and commitments are understood as being complementary to each other. More importantly, an agent's goals and commitments ought to be coherent, in the sense that an agent's goals would lead it to adopt or modify relevant commitments and an agent's commitments would lead it to adopt or modify relevant goals. However, despite the intuitive naturalness of the above connections, they have not been adequately studied in a formal framework. This article provides a combined operational semantics for goals and commitments by relating their respective life cycles as a basis for how these concepts (1) cohere for an individual agent and (2) engender cooperation among agents.