BENGALURU: IBM's new India head Karan Bajwa wants the company to show progress in key parts of its strategy including cloud and cognitive technologies by signing on new customers by the end of this year. Bajwa, who took over as head of the United States-headquartered technology firm earlier this month, is basing his strategy for growth on three pillars cloud, data and artificial intelligence. "The big change is that we want all our conversations to be cloud-first - from delivery to'solutioning' - and I have set goals in terms of the amount of revenue, customers and consumption of cloud," he said. Although he declined to specify the exact goals, he said the focus will be on attracting new customers. "We want customers who are new to IBM's services. This is not about landing big cloud deals. Cloud does not always work like that. We want to land small deals and then expand them. In all our existing deals, there is already some discussion on clo ud," Bajwa said.

Farooq Bajwa still lives comfortably, up in the hills of San Juan Capistrano in a French chateau-style mansion with views of the Pacific. But his tech company, InfoSpan, and its bustling headquarters in an Irvine office park, are long gone. These days the income from three El Pollo Loco franchises bought two decades ago helps out. The Pakistani immigrant turned entrepreneur earned millions manufacturing computer components in the 1980s and 1990s, but he doesn't blame the dot-com bust for his change of fortune. Rather, he traces it back to a plan he had early last decade for a new business: a text-based payment system that could be used throughout the developing world, particularly for migrant workers to send money home.

In NL2OCL project, we aim to translate English specification of constraints to formal constraints such as OCL (Object Constraint Language). In English to OCL translation, our contribution is a semantic analyzer that uses the output of the Stanford parser for shallow and deep semantic parsing. Our analysis of the output of shallow semantic parsing showed that semantic roles were mis-identified for a few English constraints due to semantic ambiguity. Similarly, in deep semantic parsing, it is difficult to resolve scope of quantifier operators due to scope ambiguity that is another sub-type of semantic ambiguity. In this paper, we highlight the identified cases of semantic ambiguities in English constraints. We also present a novel approach to automatically resolve the identified cases of the semantic ambiguities. The presented approach is also evaluated to show that by addressing the identified cases of semantic ambiguities, we can generate more accurate and complete formal (OCL) specifications.