Genpact's study, Commercial Banking: The Customer Experience Imperative, surveyed 500 senior commercial banking executives on the industry's changing landscape. The research reveals that while many banks understand the growing importance of CX and AI, questions remain regarding their ability to use AI for greater value and mine data effectively to embrace digital transformation and enhance service. The good news is most banks are optimistic about the future. Two-thirds of respondents say they expect to use AI across their organization in the next 12 to 18 months, compared with fewer than one in five today. Yet, some executives surveyed seem hesitant about whether AI will deliver on its promises to drive new personalized services to improve customer experience.

Buildings under construction are a maze of half-completed structures, gantries, stacked materials, and busy workers -- tracking what's going on can be a nightmare. Scaled Robotics has designed a robot that can navigate this chaos and produce 3D progress maps in minutes, precise enough to detect that a beam is just a centimeter or two off. Bottlenecks in construction aren't limited to manpower and materials. Understanding exactly what's been done and what needs doing is a critical part of completing a project in good time, but it's the kind of painstaking work that requires special training and equipment. Or, as Scaled Robotics showed today at TC Disrupt Berlin 2019, specially trained equipment.

GUWAHATI: Indian Institute of Technology (IIT) Guwahati launched the Samsung Digital Academy Programme by inaugurating the Samsung Digital Academy at the campus. The 14-week long course will be taught through classroom lectures, assignments and lab room sessions, self-study and mini-projects. Extensive tutorials and approach documents will also be provided to students to facilitate practical exercises. The curriculum at the Samsung Innovation Lab at IIT Guwahati will include Internet of Things (IoT), Embedded Systems (ES), Artificial Intelligence (AI) and Machine Learning (ML). The students will be trained on these industry-relevant skills in order to make them job-ready.

This is a 30 minute talk from GOTO Copenhagen 2019 by Feynman Liang - Creator of BachBot. I've dropped the full talk abstract below for a read before diving into the talk: Can musical creativity, something believed to be deeply human, be codified into an algorithm? While most music theorists are hesitant to claim a "correct" algorithm for composing music like Bach, recent advances in machine learning and computational musicology may help us reach an answer. In this talk, we describe BachBot: an artificial intelligence which uses deep learning and long short term memory (LSTM) to compose music in the style of Bach. We train BachBot on all known Bach chorale harmonisations and carry out the largest musical Turing test to date.

Computer vision models have learned to identify objects in photos so accurately that some can outperform humans on some datasets. But when those same object detectors are turned loose in the real world, their performance noticeably drops, creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset. It's called ObjectNet, a play on ImageNet, the crowdsourced database of photos responsible for launching much of the modern boom in artificial intelligence. Unlike ImageNet, which features photos taken from Flickr and other social media sites, ObjectNet features photos taken by paid freelancers.

Whether it be on vacation, at work or at home, we humans in general live comfortable lives. Compared to only one century ago (in contrast to around 200,000 years of existence of homo sapiens) we have much less need for physical labour to sustain life. We have shelter, a soft bed, central heating and a shower. Our food is grown, distributed and cooked using lots of automation. We also have mobile phones.

The insurance sector represents some of the largest opportunities for innovation, with the potential for around £50 billion worth of revenue to be disrupted in the UK insurance market. As stated in the World InsurTech Report published by CapGemini and Efma in October 2019, "To deepen customer relationships, insurers will have to collaborate more with InsurTechs who are already mastering the customer experience by leveraging the most innovative technologies and use of data."

Singapore's Health Sciences Authority has approved the use of an artificial intelligence-powered (AI) software for the automated analysis and reporting of vascular ultrasound scans. Developed by See-Mode Technologies, the application taps deep learning, text recognition, and signal processing technologies with the aim of helping clinicians interpret such images -- a task that typically is performed manually, time-consuming, and error-prone. Such scans, used for patients with cardiovascular or heart diseases, are commonly analysed by a sonographer or radiologist who has to manually review between 50 and 150 images for each patient, according to See-Mode. No system is infallible and cybersecurity breaches are inevitable, but Singapore needs to do better in mitigating the risks and following through on its pledge to safeguard citizen data. "The end result is a hand-written, paper-based template filled with drawings, numbers, and measurements, which can take as long as 20 minutes per patient for severe cases," it said in a statement Tuesday.

Artificial Intelligence has been one of the most hyped technologies of the decade, with millions of articles, reports, blogs and conferences discussing the topic from every possible angle. But what's the state of artificial intelligence applications right now – especially when it comes to'real world' uses? While fully intelligent general AI remains a long way off, we have seen some impressive uses of machine learning, chatbots and even image recognition technology being released in the last couple of years. Much of the cutting-edge research is still at the academic level, but we have started to see artificial intelligence applications being launched by and used in narrower application in businesses. Let's look at some examples of how AI is being used in the'real world'.