banking & finance


Wait for Gender Equality Gets Longer as Women's Share of Workforce, Politics Drops

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Stagnation in the proportion of women in the workplace and women's declining representation in politics, coupled with greater inequality in access to health and education, offset improvements in wage equality and the number of women in professional positions, leaving the global gender gap only slightly reduced in 2018. This is according to the Forum's Global Gender Gap Report 2018, published today. According to the report, the world has closed 68% of its gender gap, as measured across four key pillars: economic opportunity; political empowerment; educational attainment; and health and survival. While only a marginal improvement on 2017, the move is nonetheless welcome as 2017 was the first year since the report was first published in 2006 that the gap between men and women widened. At the current rate of change, the data suggest that it will take 108 years to close the overall gender gap and 202 years to bring about parity in the workplace.



Blockchain and Machine Learning To Predict Consumer Behavior

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In today's world, having a business-oriented approach won't suffice unless you're keeping close tabs on your customers. Knowing their choices and preferences is just as important as selling your products to them. The primary objective of product marketing is reaching your customers instead of them reaching you. So if you're showing them something that they're not interested in buying time and again, chances are they're never going to visit your website, let alone buying something there. So now you see, it's very crucial to know the consumer behavior to enhance your chances of conversion.


Predictions for 2019: Blockchain, AI and AR technology

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As we move towards the close of 2018, technology is entering into an exciting state for consumers and organisations like. This year we've started to chart the waters of technologies such as blockchain and artificial intelligence, narrowing down on industry specific solutions for the future. Next year, many technologies will come off age, including AR technology. We're now starting to understand the implications of disruptive technologies with more sophistication. Artificial intelligence is moving from being an unfamiliar entity to a technology used to improve specific business processes.


Seven-Eleven tries out a store in Tokyo with unmanned payment system

The Japan Times

Major convenience store operator Seven-Eleven Japan Co. has launched an experimental outlet in Tokyo with an unmanned payment system and facial recognition technology. The facial recognition system was developed by technology giant NEC Corp. Seven-Eleven Japan plans to open such outlets in locations where customers can be identified, such as office buildings and factories, after resolving various technological challenges. The trial shop, located in a building that hosts NEC group companies, can be used only by their employees. The NEC-developed system checks customers' faces against pre-registered facial images of employees using cameras when they enter the outlet and make payments. After shoppers scan barcodes on products in the self-checkout area, the purchase amounts are automatically deducted from their salaries.


The Machine Learning Race Is Really a Data Race

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Organizations that hope to make AI a differentiator need to draw from alternative data sets -- ones they may have to create themselves. Machine learning -- or artificial intelligence, if you prefer -- is already becoming a commodity. Companies racing to simultaneously define and implement machine learning are finding, to their surprise, that implementing the algorithms used to make machines intelligent about a data set or problem is the easy part. There is a robust cohort of plug-and-play solutions to painlessly accomplish the heavy programmatic lifting, from the open-source machine learning framework of Google's TensorFlow to Microsoft's Azure Machine Learning and Amazon's SageMaker. What's not becoming commoditized, though, is data.


Blockchain, artificial intelligence top LinkedIn fastest-growing job categories

ZDNet

There is no shortage of skepticism and outright confusion about the enterprise implications of blockchain. At the same time, demand and hiring of people with blockchain development or implementation skills is going gangbusters, growing at a rate faster than other job categories. That's the word from analysts at LinkedIn, who recently published their list of the fastest-growing jobs between 2017 and 2018. Along with blockchain skills, artificial intelligence (AI) expertise also leads the current list. This growing demand for blockchain and AI skills isn't strictly technical, Guy Berger, chief economist with LinkedIn, adds.


How AI is Revolutionising Financial Services

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The most disruptive element of AI is the ability to codify human intelligence and apply it on a vast scale, but some companies are still hesitant to adopt this revolutionary technology. For AI to be accepted and adopted on a wider scale, organisations must work to build their trust in technology as a genuinely useful tool for collaboration. Taking the world of audit as a use case, the deployment of AI-based solutions not only increases the efficiency of the task but also gives suggestions as to why a certain transaction has been flagged as unusual. AI cannot be seen as just'a black box,' it must be a collaborative tool that humans can understand and use to make decisions based on the provided insights.


LinkedIn Report: Blockchain Developer Leads List of Most Rapidly Growing Jobs

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The role of blockchain developer is the most rapidly growing emerging job in the United States, according to the 2018 U.S. Emerging Jobs report by LinkedIn released on Dec. 13. In the course of preparing the report, LinkedIn used data from its Economic Graph to analyze the positions that companies are hastily hiring for, as well as skills related to those positions and roles that have emerged over the past five years. The professional social network found that the role of blockchain developer has registered an increase of 33 times in the past 12 months, while cities with the highest demand are San Francisco, New York City, and Atlanta. Among major skills required for the role, LinkedIn notes solidity, blockchain, Ethereum, cryptocurrency, and Node.js. This year's top emerging jobs also include artificial intelligence (AI) specialists, wherein "six out of the 15 emerging jobs are related in some way to AI," and machine learning engineers, with 12 times growth year-over-year.


Artificial Intelligence Opportunities: A More Intelligent Manufacturing Industry

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In a 2016 article from Business Insider, General Electric described what an ideal intelligent factory would look like. Their vision for the "Brilliant Factory," as they called it, would start with automatic ordering based on detected customer need, and use 3D printing technologies to design, prototype, and test a new part in hours rather than days or weeks. Streamlining production would be next, with highly intelligent robots bearing a majority of the assembly workload. These stages would be continuously monitored by artificial intelligence (AI) technologies to detect abnormalities or faults, and eliminate downtime in the process. While posing an interesting trajectory for the manufacturing field, this "Brilliant Factory" remains in the future for now.