India being among the fastest growing digital economies, is religiously adopting Artificial Intelligence (AI) across sectors. Banking, financial services and insurance (BFSI), manufacturing, healthcare, education, ad-tech are among sectors that are revolutionizing their business models, even as they increase efficiency and see a record-breaking growth in revenues using AI. According to the World Economic Forum, machines will perform 71 per cent of the tasks of the current workplace by 2025, compared to 29 per cent of the tasks accomplished today. To discuss the opportunities and challenges that follow, reputed industry leaders met at a round table discussion in Mumbai organized by BW Businessworld in association with Microsoft on'AI in Manufacturing' in August 2019. The forum, comprising senior leadership teams from various industries, met to discuss critical factors including customer engagement, product innovation, operational optimization, cost, quality and change in investment needed by industry, to drive sustainable growth while successfully adopting AI in the coming years.

Artificial intelligence (AI), Machine Learning (ML) and automation will create more jobs than they eliminate. And the people employed in the new work environment must bring higher thinking skills, as well as social and emotional intelligence as technologists, to their workplaces and positions. In the Technologist Talk podcast series, Charles Eaton, Creating IT Futures CEO and CompTIA's executive vice president for social innovation, has referred to this workforce evolution as becoming "technologists, not just technicians." That was the key message shared by Diya Wynn, global readiness lead at Amazon Web Services Inc., during her breakout session at today's Women In Technology Summit Southeast (WITS) held in Raleigh, North Carolina. WITS is the only technical conference that features all women speakers and has programming specifically designed for women technologists working in technical and non-technical roles.

This article aims to share with you some methods to implement linear regression on a real dataset, which includes data including, data analysis, datasets split and regression construction itself. To learn PyTorchwell, I'd demonstrate regression by PyTorchand show you the charm of PyTorchin forward and backward. This story has a hypothesis that all the readers have been familiar with the principle of linear regression. Readers should understand the meaning and solution methods of W and b of the equation Y XW b. To have a better experience, it's better to understand the gradient descent method that can be used to solve the problem and understand the MSE used to evaluate the regression performance.

Finance firms are using machine learning (ML) across their businesses with the technology's spread likely to continue as the obstacles it faces are not deemed insurmountable, according to a survey carried out by the Bank of England. The survey, which had more than 100 respondents, revealed that around two-thirds of financial services companies in the UK are using ML. The technology is used to replace manual tasks in the industry through its ability to recognise patterns in data and make decisions. "ML has wide-ranging applications in financial services and, when combined with increasing computational power, has the ability to analyse large data sets, detect patterns and solve problems at speed," said the Bank of England. "The use of ML has the potential to generate analytical insights, support new products and services, and reduce market frictions and inefficiencies. If this potential is achieved, consumers could benefit from more tailored, lower cost products and firms could become more responsive, leaner and effective."

The Automotive Analytics & Attribution Summit (AAAS) is laser focused on automotive online marketing, Google Analytics insights, marketing attribution to a sale, digital retailing, and advanced customer communications. Auto dealers and manufacturers invest heavily in online advertising, yet few standards exist for tracking consumer influence, engagement, and conversion. The auto industry and their advertising partners must work closer together to determine the influences that result in a sale. For 2019, we have expanded the content and exhibit hall to cover Digital Retailing; a move to allow consumers to Digitally Time Shift their buying process to include shopping and purchasing from home, office, and in the showroom. We have attracted the top companies to showcase their solutions as well as dealers who have transformed the retail sales process.

An artificial intelligence system that analyses a drop of blood could help to identify patients with brain tumours. Researchers said that within 18 months the technique could be widely used in the NHS after a trial indicated a 90 per cent success rate in identifying gliomas, the most common form of brain tumour. More than 9,000 people a year in the UK have primary brain tumours diagnosed, of which about half are cancerous. At present a brain scan is the only reliable way of identifying a tumour.

An Israeli startup invested in heavily by American companies, including Microsoft, produces facial recognition software used to conduct biometric surveillance on Palestinians, investigations by NBC and Haaretz revealed. In June, Microsoft -- which has touted its framework for ethical use of facial recognition -- joined a group investment of $78 million to AnyVision, an international tech company based in Israel. One of AnyVision's flagship products is Better Tomorrow, a program that allows the tracking of objects and people on live video feeds, even tracking between independent camera feeds. AnyVision's facial recognition software is at the heart of a military mass surveillance project in the West Bank, according to the NBC and Haaretz reporting. An Israeli Defense Forces statement in February acknowledged the addition of facial recognition verification technology to at least 27 checkpoints between Israel and the West Bank to "upgrade the crossings" and, in an effort to "deter terror attacks," rapidly installed a network of over 1,700 cameras across the occupied territories.

In recent times sustainability has become a buzz word amongst a large section of the world community and particularly amongst Business and Industry fraternity. In a rapidly globalized world faced with social inequity, environmental degradation and economic slowdown, sustainability has often been cited as the panacea for solving the ills of society. What is however not known is the fact that education provides the base knowledge for addressing humanity's footprint, and many of us at educational institutions often need to have a deeper understanding of the issue. Educational campuses are generally seen as the altar for teaching, learning and dissemination of knowledge. However, in recent times campuses have also started to move in the direction of addressing sustainability issues in terms of curriculum, research and operational aspects.

Lightning has been deemed'the most unpredictable phenomena in nature' - until now. The technology is set to work as an early warning system to prevent effects of lightning strikes to critical infrastructure, sensitive equipment and outdoor facilities. The system, developed by students at École polytechnique fédérale de Lausanne (EPFL School of Technology), is capable of predicting when and where lighting will strike to the nearest 10 to 30 minutes, within an 18 mile radius. Lightning has been deemed'the most unpredictable phenomena in nature' -until now. Amirhossein Mostajabi, the Ph.D. student who came up with the technique, said, 'Current systems are slow and very complex, and they require expensive external data acquired by radar or satellite.'

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