The Corporation of London is calling on employers to re-skill female workers not currently in technical roles. The Corporation of London is calling on employers to re-skill female workers not currently in technical roles. 'Mid-career' females also being sidelined by rigid hiring processes, says City of London Corporation Women working in tech and financial services are at greater risk of losing their jobs to increased use of AI and automation than their male peers, according to a report that found experienced females were also being sidelined as a result of "rigid hiring processes". "Mid-career" women - with at least five years' experience - are being overlooked for digital roles in the tech and financial and professional services sectors, where they are traditionally underrepresented, according to the report by the City of London Corporation. The governing body that runs the capital's Square Mile found female applicants were discriminated against by rigid, and sometimes automated, screening of their CVs, which did not take into account career gaps related to caring for children or relatives, or only narrowly considered their professional experience.

Business-to-consumer (B2C) businesses have made it a priority to incorporate machine learning into customer-facing functions, integrating it into sales and marketing. For business-to-business (B2B) companies, however, translating data into actionable marketing strategies can be a more difficult proposition. Selling to organizations invariably requires embarking on a much longer and more complex journey, culminating in an order of much higher value than in the consumer realm. With hundreds of thousands, if not millions, of dollars at stake, a misguided marketing investment could lead to financial losses. "The availability of data and the importance of having the focus on the full customer journey is coming a little later to the B2B world," says Laura Beaudin, a partner at Bain & Co. "A lot of expectations in terms of customers manifested themselves in the consumer world before they brought those expectations to their business-purchasing world."

Business-to-consumer (B2C) businesses have made it a priority to incorporate machine learning into customer-facing functions, integrating it into sales and marketing. For business-to-business (B2B) companies, however, translating data into actionable marketing strategies can be a more difficult proposition. Selling to organizations invariably requires embarking on a much longer and more complex journey, culminating in an order of much higher value than in the consumer realm. With hundreds of thousands, if not millions, of dollars at stake, a misguided marketing investment could lead to financial losses. "The availability of data and the importance of having the focus on the full customer journey is coming a little later to the B2B world," says Laura Beaudin, a partner at Bain & Co. "A lot of expectations in terms of customers manifested themselves in the consumer world before they brought those expectations to their business-purchasing world."

SINGAPORE: Thousands of jobs for professionals, managers, executives and technicians (PMET) are being created in the professional services sector, in new roles such as cybersecurity consultants, data engineers and legal tech experts. The sector - which includes architecture and engineering services, accounting and advertising - unveiled its industry transformation map (ITM) on Wednesday (Jan 24), which charts its vision to become a "global market leader in high-value and specialist services". At the heart of the roadmap are initiatives to drive innovation and equip the workforce with skill sets in areas such as data science and artificial intelligence over the next five to 10 years, the Economic Development Board (EDB) said. With the roadmap, the professional services sector is projected to grow at an average rate of 4.6 per cent from 2015 to reach a value-add of S$31 billion by 2020. The aim is also to generate 5,500 jobs every year till 2020.