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How AI-Powered tech is transforming the credit risk process

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The global data and intelligence solutions provider, Provenir, is leading the marketplace through its data insights innovation and technologies. The US-based software technology company which supports the international fintech industry, ensures the marketplace is a global data and intelligence ecosystem that makes accessing data fast and easy. Now, Provenir has invited industry professionals to join them in their latest webinar that outline how can AI-powered risk decisioning can play a part in transforming the entire credit risk decisioning process. The session, which is presented by key industry leaders, explores how technology continues to evolve and advances in big data, digital transformation, and AI/ML are creating new opportunities for financial services and fintechs to improve their credit decisioning processes. The webinar panel discussion is being moderated by FinTech Magazine and will provide a spectrum of topics for discussion that outline the importance of using AI/ML to transform credit risk decisioning.


TransOrg Analytics: Simplify Optimize Organize Accelerate

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The below excerpt showcases the distinctiveness and acumen of a holistic AI company – TransOrg Analytics that is consistently striving to roll out intelligent and scalable solutions for the betterment of its customers. TransOrg Analytics is an award-winning player in'Analytics and Advisory' space. Founded in 2009, TransOrg is headquartered in Gurugram, India with a global presence in the US, UK, Singapore, India and the Middle East. Its global clientele includes Fortune 500 companies and industry leaders in sectors like Banking, Financial Services, Insurance, Telecom, Hospitality, CPG, Retail, E-commerce, Travel & Aviation. TransOrg has a strong team of over 80 high-performing Data Scientists, Data Engineers, Visualization experts from top schools and leadership with strong academic credentials and collective work experience of over 100 years with reputed organizations.


How India Has Become The 'Centre Of Excellence' Hub For Global Giants

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The term'Centre of Excellence' has become very popular in the last few years among organisations of all stripes. CoEs are now being set up to attract talent and develop proof of concepts (PoC) around emerging technologies. The main goal of a CoE is to help an organisation improve its expertise in a particular area and make the most of its resources. Recently, we have seen the development of several incubators and accelerators by major financial companies and tech giants that are tapping into the thriving Indian ecosystem to develop expertise in emerging technologies. India is already proving to be the hub for CoE, especially in areas like analytics and business intelligence.


Alibaba Cloud opens second data centre in Japan

ZDNet

Alibaba Cloud has opened its second data centre in Japan, doubling its capacity in the country where it is seeing growing demand for big data analytics with machine learning capabilities. The new facility runs on 25G network infrastructure, an upgrade from its original 10G network, and P100 card GPU-based GN5 Instance to process graphics for machine learning. Between the two local data centres, Alibaba said its cloud unit would be able to offer more than 50 services, including elastic computing, image search, database, networking, disaster recovery, and storage services. It added that these could cater to key sectors such as e-commerce, games, media, manufacturing, and Internet of Things. Its machine learning specialist also urges need for governments looking to build smart cities, such as Singapore, to ensure its citizens benefit from such initiatives.


Jobs in big data, machine learning to be in demand

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Candidates from fields like big data analysis, machine learning and data science will be in demand in 2019, a report by Michael Page, a Singapore-based global professional recruitment consultancy, said. The candidates will get a 20% to 25% increase in their compensation package while switching jobs within their respective industries this year, the recruitment consultancy has predicted. "There will be a major movement among senior professionals who can contribute to the growth of India's industries. There are also accountable and skilled candidates for employment opportunities within mid- and large-manufacturing industries especially in chemicals, building materials and domestic consumer companies," Nicolas Dumoulin, Managing Director, Michael Page India said. "The entrance of newly-evolved funds within the private equity sector has led to the hiring of senior professionals. The rise in India's e-commerce and financial technology business has increased the hiring opportunities for senior-level talent from banking spaces," he said.


JD.com, Intel set up IoT lab to explore 'smart retail' applications

ZDNet

JD.com and Intel have set up a research lab to identify ways Internet of Things (IoT) can be used to develop next-generation retail applications, including vending machines and modernised retail stores. The move further broadens the two partner's existing collaboration, in which Intel previously used its edge computing and computer vision architecture alongside JD.com's visual algorithm to analyse in-store foot traffic and purchasing patterns. These analytics have been deployed in the Chinese retailer's unmanned D-Mart stores that featured smart shelves, sensors, smart cameras, digital signages, and cashierless checkout counters. The new lab will use Intel's IoT architecture to develop next-generation retail applications such as vending machines, media and advertising services, and other technologies that can be used to modernise future stores. JD.com's vice president and head of big data platform, Zhi Weng, said the research facility will utilise both companies' expertise to bring online shopping experience to offline retail environments, as well as offer a more personalised experience regardless of where consumers shopped.


Billions of dollars have not helped Indian e-tailers figure out AI and big data

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Indian e-commerce companies are still novices when it comes to Artificial Intelligence (AI) and mining big data. Nevertheless, they are still betting big on AI, which they think could be the magic bullet that will help them offer tailored shopping experiences. In 2017, homegrown e-commerce firm Flipkart announced the launch of an initiative called AI for India, wherein the company would develop solutions for issues like deciphering complex addresses and catching address fraud. Flipkart-owned fashion brand Myntra runs two AI-powered brands, Moda Rapido, and Here and Now. Delhi-based Paytm's homepage is personalised and reordered differently for each of its 225 million users, and the platform makes 20,000 recommendations per second--each of them in under 20 milliseconds.


Billions of dollars have not helped Indian e-tailers figure out AI and big data

#artificialintelligence

Indian e-commerce companies are still novices when it comes to Artificial Intelligence (AI) and mining big data. Nevertheless, they are still betting big on AI, which they think could be the magic bullet that will help them offer tailored shopping experiences. In 2017, homegrown e-commerce firm Flipkart announced the launch of an initiative called AI for India, wherein the company would develop solutions for issues like deciphering complex addresses and catching address fraud. Flipkart-owned fashion brand Myntra runs two AI-powered brands, Moda Rapido, and Here and Now. Delhi-based Paytm's homepage is personalised and reordered differently for each of its 225 million users, and the platform makes 20,000 recommendations per second--each of them in under 20 milliseconds.


SAS Viya Is Ready And Equipped For The Next Gen Analytics Professionals

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Analytics India Magazine got in touch with Anil Arora who is the principal data scientist at SAS. With 11 years of analytics experience, he has worked across areas such as banking, insurance, telecom, retail, e-commerce, utilities, public services industries and more. Analytics India Magazine got in touch with Arora to get an insight on the various kind of analytics and data science tools that are used by analytics practitioners at SAS. Below is the complete Q&A with his detailed insights. AA: SAS provides a cohesive, unified analytics platform in the form of Viya that addresses the complete analytics lifecycle covering data management, data discovery, model building and model deployment. It is the foundation of a suite of offerings, including machine learning and visualisation, to address any analytic challenge.


Data is power: Indie beauty brands get personal with big data

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Because big data gives feedback untainted by human agenda, it allows companies to identify an audience, mistakes and opportunities as accurately as possible. And it is also enabling companies to provide consumers with precise beauty services and products. Of courcse, large brands are no stranger to utilising insight gathered from analysing data. The Tmall Innovation Centre (TMIC), by the Alibaba Group, is dedicated to reverse engineer the process of developing products. By analysing data from Alibaba's massive e-commerce ecosystem, TMIC identifies new product opportunities for very specific Chinese demographics, letting the customer data determine the product should be developed.