Fintech in 2017: Automation Will Rule


This shows no sign of stopping in 2017, with new and existing technologies allowing institutions to ultimately offer more unique banking experiences. From my meetings with decision-making executives at the world's leading banks, here are the top five trends dominating their technology investment discussions: In 2017, several banks will undoubtedly take their first steps toward "conversational commerce," a term coined by Chris Messina of Uber to describe the future of messaging within apps. They will also inspire meaningful change within the bank's organizational structure with the continued rise in executive power of the chief digital officer, chief marketing officer and chief data officer. However, for this to happen, the role of the procurement team will also need reevaluation -- a process that could result in new vendor evaluation processes that focus on agility, innovation and time to market, rather than just on vendor consolidation and cost negotiation.

Winning in Fintech & Insurtech Ecosystem -- Big Win for Technology Innovators & Crunch-time for "Reach Focused" Players


Storage players with its platforms are winning the market from niche players big time. Microsoft with Office 365 (including OneDrive, Teams, Outlook) has taken over the productivity market only challenged by Google (with Gmail/Apps, Chromebooks and winning the education space). While copycat scenarios are known from certain startups in the past -- today the incumbents are entering the markets with copies of startup models everywhere. A provider like enfore will enable those 200mn small business to be seen as one platform and serve this markets as an integrated SaaS provider.

Building Intelligent IoT with Fog Computing


PaaS providers offer ready-to-use services like security, data storage, device management and big data analysis. ADS employs multiple advanced technologies: multimodal sensors, computer vision, artificial intelligence and machine learning, etc. Fog computing will be crucial, where time sensitive computer vision or AI inferencing is handled on edge processing nodes, while more long time big data analysis can be handled on the cloud. Since 2007, Nvidia has developed Compute Unified Device Architecture(CUDA) technology to exploit the power of its graphics chips in compute problems besides 3D shader processing.

Five UK startups pioneer AI across the Consumer Fintech Spectrum


Their imagery algorithm can be used to quickly perform visual inspection of an accident and provide data digitally to support insurance claims. The deep learning capability that they have built in collaboration with Cambridge Machine Learning Group, the Visual Geometry Group (Oxford University) and the Neuroscience unit at UCL, can now assess damage to a vehicle more accurately than a human expert. Earlier this year, they closed a £5.5 Million funding round which they would be using to build an end to end AI enabled real time mortgage experience. However, with Social Media, Open data, and PSD2 providing a firm footing this time, the API era should see some Consumer Fintech AI success stories over the next few years.

Qualcomm Acquires Machine Learning Startup Scyfer


Scyfer B.V. is a startup that is affiliated with University of Amsterdam and focuses on applying machine learning techniques to different fields. Through the acquisition, Qualcomm hopes to further incorporate AI technology into different devices, including cars, machines and robotics. Currently, Qualcomm is working on applying its AI technology to different devices, including smartphones, cars, and robotics and enable functions without a network or connections to WiFi. Through the acquisition, Qualcomm hopes to further incorporate AI technology into different devices, including cars, machines and robotics.

Learning Path: R: Complete Machine Learning & Deep Learning


Starting out at a basic level, this Learning Path will teach you how to develop and implement machine learning and deep learning algorithms using R in real-world scenarios. Yu-Wei, Chiu (David Chiu) is the founder of LargitData, a startup company that mainly focuses on providing Big Data and machine learning products. In addition to being a startup entrepreneur and data scientist, he specializes in using Spark and Hadoop to process Big Data and apply data mining techniques for data analysis. Vincenzo Lomonaco is a deep learning PhD student at the University of Bologna and founder of ContinuousAI, an open source project aiming to connect people and reorganize resources in the context of continuous learning and AI.

Coursera co-founder, Andrew Ng, sets out to raise $150M for AI Fund


Andrew Ng, one of the founders of Coursera, has set out to raise a $150 million fund – dubbed AI Fund – in order to invest in artificial intelligence startups. The document filed with the SEC was filed under Andrew Ng's name on 14 August. At the time that we reported on that news, it wasn't clear what Ng had in mind; in the time since, The year has been busy for AI funds, Google has rolled out Gradient Ventures, Basis Set Ventured drew in $136 million to their fund, Element.AI raised $102 million, Microsoft Ventures started an AI fund and Toyota gathered $100 million to spend on AI investment. Ng's recognition in the field should help him put together a decent fund to aid AI startups going forward.

An inside look at Ford's $1 billion bet on Argo AI


Instead, he comes off as optimistic about the company he founded with Peter Rander, who, as former engineering lead at the Uber Advanced Technologies Group, helped bring the ride-hail company's first-generation self-driving prototypes to public roads. In broad terms, Argo is developing self-driving technology that Ford can use to deploy fully autonomous Level 4-capable vehicles for commercial on-demand service. Ford has also charged Argo with how to create high-definition maps, keep them "fresh," and sustain that over time, Ford's CTO and vice president of research and advanced engineering Ken Washington said during a presentation at The Information's autonomous vehicle summit in June. Not long after leaving Google, Salesky and Rander started their new company with a small investment from an undisclosed source; neither Salesky or Ford will identify the source of the seed money.

Nielsen acquired vBrand, a startup that has developed a machine learning-enabled platform to measure brand exposure and impact in sports programming.


The acquisition of vBrand's advanced technology supercharges Nielsen Sports' already industry-leading sponsorship measurement capabilities and methodologies, considered among the most robust in sports. "This is an exciting acquisition that demonstrates our continued ambition and commitment to our sports clients.Bringing vBrand's technology into Nielsen Sports' existing sponsorship valuation process will further expand the scale of programming and events it covers around the world. Nielsen Sports' brand exposure data and metrics are considered currency in the global sports marketplace, and we're delighted to strengthen that further with this acquisition," said Howard Appelbaum, President, Nielsen Entertainment. The Nielsen acquisition is the latest milestone in an already well-established relationship between the two companies, as the Tel Aviv-based vBrand is a graduate of Nielsen Innovate--Nielsen's early-stage technology incubator licensed by the Israel Innovation Authority (previously known as the Office of the Chief Scientist of Israel).

Six Key Internet Of Things (IoT) Trends To Watch For In 2018


LAS VEGAS, NV - JANUARY 04: Tim Baxter, President and Chief Operating Officer of Samsung Electronics America, speaks during a press event for CES 2017 at the Mandalay Bay Convention Center on January 4, 2017 in Las Vegas, Nevada. Based on analysis of over 200 hardware startups, the HAX Hardware Trends Report has identified six key ways the world of connected devices has evolved and will impact our lives in the coming years.