Hong Kong Exchanges and Clearing Limited (HKEX) is today (Friday) pleased to announce that it has entered into a memorandum of understanding (MOU) with Ping An Insurance (Group) Company of China Limited (Ping An) to explore possible areas of cooperation and collaboration in Fintech and data analytics to enhance the region's financial market ecosystem. HKEX Chief Executive, Charles Li, joined Ping An Chairman, Ma Mingzhe, in Shenzhen to mark the signing of the MOU. In attendance were other senior executives from HKEX and Ping An. HKEX and Ping An will work together to identify areas of collaboration, including Fintech solutions across different asset classes, as well as the application of data and Artificial Intelligence technology to support the mutual connectivity of the Mainland Chinese, Hong Kong and international markets. Ping An, which is a leading financial services provider in insurance, banking, and securities in China, has significant technology capabilities and is a provider of Fintech solutions to support other financial institutions on their digital transformation.

MaxDecisions, Inc. is expert in deploying A.I. and Machine Learning software and algorithms in Marketing, Risk and Operations can help you grow your lending portfolio. We have decades of online lending experience that can help you quickly launch portfolios with the latest technology. We specialize in creating artificial intelligence and machine learning softrware in fraud and credit risk management for small business and online consumer lenders. We build sophisticated underwriting models that's customized for your portfolio. Leveraging MaxDecisions' experience is your competitive advantage.

Technology firms and academics have joined together to launch a "deepfake challenge" to improve tools to detect videos and other media manipulated by artificial intelligence. The initiative announced Thursday includes $10 million from Facebook and aims to curb what is seen as a major threat to the integrity of online information. The effort is being supported by Microsoft and the industry-backed Partnership on AI and includes academics from the Massachusetts Institute of Technology, Cornell University, University of Oxford, University of California-Berkeley, University of Maryland and University at Albany. It represents a broad effort to combat the dissemination of manipulated video or audio as part of a misinformation campaign. "The goal of the challenge is to produce technology that everyone can use to better detect when AI has been used to alter a video in order to mislead the viewer," said Facebook chief technical officer Mike Schroepfer.

Timely delivery is often a critical deciding factor for the ever-impatient customers to choose service A over service B. Hence, operations/logistics team is a key enabler. The attrition rate in large frontline teams is high, close to 75 percent annually. Yet most companies have aggressive growth targets, necessitating recruitment of high volumes of workers constantly. High-growth companies in this domain like Zomato and Swiggy, grew by more than 50-60 percent by the end of 2018, recruited tens of thousands of delivery boys every month. Vahan Inc. has developed an AI-driven virtual assistant that helps logistics companies scale and automate their hiring process by leveraging the common addiction of messaging applications like WhatsApp and FB messenger. In this talk, the speaker will cover in detail how they developed a complete data collection and natural language processing pipeline for Indian languages and built a chatbot over Whatsapp which is currently connecting companies like Dunzo, Zomato, Swiggy & Rapido Express with potential frontline workers and fulfilling the hiring requirements of this industry in a scalable and autonomous fashion.

Over the next three years, the companies that are winners or losers in their markets will be determined by how well they DAAAB. That is what I call the collection of powerful new technology and management tools reshaping global supply chains. DAAAB stands for Deep Learning, Artificial Intelligence, Algorithms, Analytics--all the essential elements for a digital transformation that will ultimately produce Business Results. DAAAB represents some of the most exciting tools in business today because they help companies create new opportunities for visibility and agility. Companies can use DAAAB to tightly link their supply chain operations to their customers--and their suppliers, and their supplier's supplier, as well as their customer's customer.

Over the next three years, the companies that are winners or losers in their markets will be determined by how well they DAAAB. That is what I call the collection of powerful new technology and management tools reshaping global supply chains. DAAAB stands for Deep Learning, Artificial Intelligence, Algorithms, Analytics--all the essential elements for a digital transformation that will ultimately produce Business Results. DAAAB represents some of the most exciting tools in business today because they help companies create new opportunities for visibility and agility. Companies can use DAAAB to tightly link their supply chain operations to their customers--and their suppliers, and their supplier's supplier, as well as their customer's customer.

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Knowledge Lens, a relatively new company, participated as a Silver Sponsor at ARC's India Forum, Driving Digital Transformation in Industry and Cities. As a first-time participant, the Forum provided an ideal opportunity for the company to showcase its offerings. Started in Bangalore five years ago with no external funding, the company's vision is to build information technology products indigenously and provide gainful employment. Today, it has offices in the US and over 1,500 customers globally. The company's focus is on accelerating actionable insights from enterprise data using artificial intelligence (AI), Big Data analytics, cloud, Internet of Things (IoT), and blockchain technologies.

The Health industry relies massively on new technologies to increase and optimize its capabilities. Healthcare is a multi-trillion-dollar global industry, growing each year as average life expectancy keeps rising. New technologies offer more accurate diagnoses, change the way medical professionals work, help save lives, reduce the patients' sufferings while going through the traditional methods of diagnosis and treatments. Technologies like Machine Learning and Deep learning can be implemented at every stage of healthcare, creating tools that doctors and patients can take advantage of. Healthcare is a data-driven industry that generates about one trillion gigabytes of data annually and this enormous volume of data collected is impossible to analyze by human beings.

AI is the future, and it's also the past. Not just in the sense of having been developed in previous years and decades, but also in the sense of being capable of recreating human history. This power was highlighted vividly by a study published at the end of August by researchers from University College London and Duke University, who managed to use artificial intelligence to create separate representations of two images that had been painted on both sides of a single panel. More specifically, they used X-ray imaging techniques to produce a combined representation of the outer panels of the famous 15th Century Ghent Altarpiece painting. Because the resulting image was a combination of two images superimposed on each other, it was previously hard to analyze.