Ludhiana: Central Board of Secondary Education (CBSE) conducted yoga, early childhood care and education, artificial intelligence exams for Class XII and Arabic, Russian, Persian, Tibetan, Lepcha, Persian, Nepali, Limboo, German, French, carnatic music (melodic instruments), carnatic music (vocal), carnatic music (percussion instruments) for the students of Class X on Saturday. Aditya who took artificial intelligence exam said, "The exam was really easy and got over on time. Now, the students of class XII have accountancy exam on Monday. Meanwhile, Class X students will have computer application exam on Monday.

Experts believe that both the accountancy and audit industries are on the cusp of an automation transformation in 2020, guided by the incredible growth of robotic process automation (RPA) and artificial intelligence (AI) throughout the last few years. As automation software becomes mainstream technology within the industry, experts from across the field believe that 2020 will be a transformative year as more accountancy firms use both RPA and AI within their practices. Aaron Harris, Chief Technology Officer at Sage, explained: "At the moment, only big enterprises are employing RPA at scale. In 2020, we'll start to see this trickle down to small and medium-sized businesses. "RPA software revenue grew 63.1% in 2018 to $846m and will grow further to $1.3bn in 2019.

Of late, the accountancy industry has been the subject of a slew of negative media headlines, especially in the auditing space. Scrutiny has surrounded the administration of high-profile businesses like BHS and Patisserie Valerie at a time when the number of UK companies going into administration hit a five year high. News of a lack of accountability has been rife: the Charity Commission recently accused auditors of'letting down' their profession and clients after a study found only half of sample charity accounts met the required standards set by the watchdog. While not necessarily a fair reflection of the whole industry, trust has undoubtedly been knocked. Not only has accountancy been battling a wider crisis in confidence, but we have been doing so during the'rise of robots'.

It wasn't too long ago when the concepts of artificial intelligence (AI) and automation were reserved for science fiction novels and fantasy films. Fast-forward to today and this technology has made its way to our everyday lives. From retail and healthcare to agriculture and manufacturing, automation has disrupted a wide array of industries for the better. At this rate, the digital revolution can only go uphill from here. In a recent report by the McKinsey Global Institute, it is estimated that between 400 million and 800 million of today's jobs will be automated by 2030.

Innovate UK and the UK Research and Innovation (UKRI) have announced a £3.5m funding competition for projects that can improve data access. The funding is for projects that will fast track development and adoption of artificial intelligence and data technologies in accountancy, insurance and legal services through better access to data. Open to businesses of any size, the competition opens on 14 October 2019 with the deadline for applications being 20 November 2019 midday. According to the agencies, the competition will be funded by the government's £20m Industrial Strategy Challenge Fund Next Generation Services Challenge, which has an objective of exploring how new technologies can transform the services. Innovate UK said that the service sector accounts for 80% of the country's economy.

CHIEF financial officers (CFOs) and their finance teams need to understand how to anticipate and respond to artificial intelligence (AI), as it will be a key frontier technology to grow Singapore's economy in the years ahead, CPA Australia said on Thursday. The accounting professional body also urged professionals in the sector to upskill, particularly in terms of data mining, extraction and faster interpretation of big data. To help them navigate this digital journey, CPA Australia has published a resource titled Charting the Future of Accountancy with AI, in collaboration with Singapore Management University's School of Accountancy. The practical guide looks at how AI will reshape the accounting and finance sector in the coming years, and what the profession can do to continue to operate alongside the evolving technology and their changing roles. It draws on insights from professional services firms Accenture, Deloitte, EY, KPMG and PwC, as well as the Singapore Management University.

Innovate UK, as part of UK Research and Innovation, will invest up to £3.5 million to develop data access methods to enable the application of artificial intelligence (AI) and data technologies in the accountancy, insurance and legal services sector. In this competition, individuals can apply, on behalf of their organisation, to take part in a 3-day residential Innovation Lab. The selected participants will work together to develop consortia and project proposals to enable a more accessible data environment within the accountancy, insurance and legal sectors. After the Innovation Lab, the developed project collaborations will have 3 weeks to finalise their proposals before submitting them for assessment. Competition briefing events will be held in London, Manchester and Edinburgh.

Britain faces the threat of social unrest as robots take'swathes' of jobs, the Bank of England's chief economist warned today. Andy Haldane said the so-called Fourth Industrial Revolution will see'the machine replacing humans doing thinking things'. He cautioned that the'dark side' of the change could be disruption on a much bigger scale than in Victorian times, with professions such as accountancy among those at risk. The stark message came amid calls for a massive skills drive to find employment for those set to be affected by the next wave of automation. In an interview with BBC Radio 4's Today programme, Mr Haldane said: 'The first three industrial revolutions have been about largely machines replacing humans doing principally manual tasks, whereas the fourth will be different.

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Often, as part of exploratory data analysis, a histogram is used to understand how data are distributed, and in fact this technique can be used to compute a probability mass function (or PMF) from a data set as was shown in an earlier module. However, the binning approach has issues, including a dependance on the number and width of the bins used to compute the histogram. One approach to overcome these issues is to fit a function to the binned data, which is known as parametric estimation. Alternatively, we can construct an approximation to the data by employing a non-parametric density estimation. The most commonly used non-parametric technique is kernel density estimation (or KDE).