Financial Technology


Jensen Huang interview -- 'the foundations of gaming are just fine, just fantastic'

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This week, Nvidia reported earnings and revenues that were down compared to a year ago. But they did signal a return to growth after a couple of week quarters as the company worked off inventory pile-ups related to the collapse of cryptocurrency mining. People aren't buying graphics cards to mine for cryptocurrency anymore, but they are beefing up their gaming PCs to play high-end games, and developers are now embracing Nvidia's Turing architecture in its RTX graphics cards, said Jensen Huang, CEO of Nvidia, in an analyst call this week. But the artificial intelligence chip market had a pause with a slowdown in hyperscale deployments in data centers. We caught up with Huang for a few minutes on Thursday to talk about the state of the gaming market.


Artificial Intelligence Solutions For Trading Bot

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In recent reviews, trading bots, integrated with Artificial Intelligence have sought the attention of traders who don't have the knowledge of the cryptocurrency market but looking to completely rely on the robot to place trades for them. The crypto bots with artificial intelligence are a hybrid between off-the-shelf and custom-built trading robots. Since the bots are in-built with Artificial Intelligence, they are capable to customize and adjust the current trading strategies to survive the conditions of the cryptocurrency market. This means that the trader doesn't need to update the in-built program whereas the robot itself re-program depending on the current conditions.


The interplay between AI, blockchain and the cloud

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You may have experimented with blockchain projects to drive transparency in your supply chain or efficiencies in cross-border payments. You may have live AI-driven applications in customer services or backend automation. You may even be considering migrating your core infrastructure into the cloud to increase storage efficiencies and speed. But have you considered how these technologies should be integrated with each other to drive your core strategy now, and not just the periphery or on a ten year horizon? The driver for innovation projects in incumbent organisations is largely to break down silos.


Microsoft to Launch AI and Blockchain Services

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Revealed before its upcoming software developer conference, the company is now said to be focusing more on providing cloud-based computing and software services to other businesses. One of Microsoft's new offerings is an AI-powered service that helps online retailers recommend products based on shopping history. Scott Guthrie, Microsoft's head of artificial intelligence, spoke about how the new solution can be combined with a retailer's existing recommendation engine: "They're using ours in addition to the existing system they had and seeing some tremendous wins in terms of productivity as part of it. "I don't think it's going to be necessarily always a winner takes all." When it comes to #AI, there's a difference between can and should. When it comes to @SatyaNadella's Vision Keynote at #MSBuild this year, you can and you should tune in. May 6. Get ready ---- pic.twitter.com/L8JutUpJdi In addition to this, Microsoft will launch a cloud-based blockchain service in collaboration with JP Morgan Chase & Co. According to Guthrie, this system has multiple uses, such as documenting transactions and tracking goods as the move along the logistics chain. Guthrie added: "That enables them, from a quality control perspective, to dramatically improve the end-to-end supply chain and deliver a better product.


AI is Accelerating the Growth of FinTech Companies

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A customer-centric approach, real-time data integration, cost optimization, and advanced security are those topmost needs of the present times financial sector which is emulating the business dynamics of FinTech companies. The word'FinTech' is synonymous with innovations, convenience, and high accessibility in the world of finance. Equipped with Artificial Intelligence (AI), the principal purpose of the majority FinTechs is financial inclusion – enabling the masses to get benefits from the mainstream financial system. With the advent of AI in the financial sector, hindrances and complexities that people used to experience in availing the financial services of banks and NBFCs do not exist today. Thanks to the new breed of tech-oriented financial institutions and AI technology that have empowered the masses with easy and cost-effective financial solutions.


Microsoft Adds More AI, IoT, and Blockchain Services to Azure - S

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Microsoft today announced several new Azure cloud services spanning artificial intelligence (AI), IoT, and blockchain ahead of its annual Build developers' conference next week. "With Azure, we are delivering the best cloud for AI, ML (machine learning), and computing at the edge," said Frank Shaw, corporate vice president of communications for Microsoft, on a call with reporters. This, of course, is also how Microsoft's competitors Amazon and Google are positioning their clouds to encourage developers to build on top of their respective platforms using their cloud services. Microsoft introduced a new set of Azure AI technology, which includes a new Azure Cognitive Services category called "Decision," which gives users a specific recommendation for more informed decision making. This category "includes those services that not just observe the world – image recognition for example – but build in a sophisticated decision process," Shaw said.


Artificial Intelligence (AI) in Fintech Global Market Demand, Growth, Opportunities, Analysis of Top Key Player and Forecast to 2024

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May 03, 2019 (Heraldkeeper via COMTEX) -- As FinTech applies data and technology to financial services in an effort to address industry challenges, artificial intelligence is essential to FinTech's existence and usage. According to this study, over the next five years the Artificial Intelligence (AI) in Fintechmarket will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Artificial Intelligence (AI) in Fintech business, shared in Chapter 3. This report presents a comprehensive overview, market shares and growth opportunities of Artificial Intelligence (AI) in Fintech market by product type, application, key companies and key regions. This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8. Americas United States Canada Mexico Brazil APAC China Japan Korea Southeast Asia India Australia Europe Germany France UK Italy Russia Spain Middle East & Africa Egypt South Africa Israel Turkey GCC Countries The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market.


How Blockchain Will Transform Artifiicial Intelligence?- SoftwareFirms

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The research on improving artificial intelligence(AI) has been going on for more than a decade. However, it was not until the last few years before developers were able to create smart systems which showed the true potential of artificial intelligence(AI) that closely resembled capabilities of humans. The biggest reason for the revolution in AI is the advancements in big data. With the recent developments in big data have allowed businesses to organize a large amount of data into structured components which can be processed by computers very quickly. Another technology which has the potential for revolutionizing and transforming artificial intelligence is blockchain.


Social Market Analytics Partners with RCM-X for Sentiment-Driven Advanced Algo Trading

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CHICAGO - May 2, 2019 - PRLog -- Alternative data such as social media platforms and feeds have become a vital source of information for traders of all shapes and sizes, particularly in cryptocurrency markets.The SMA Cryptocurrency Sentiment Feed will offer traders a first-of-its-kind tool for including social media sentiment data in their trading strategies and logic, allowing RCM-X advanced automated execution algorithms to anticipate potential market impacts driven by public media platforms. Back in 2011, the RCM-X team was one of the first groups to write an adaptor to take SMA's sentiment data into Strategy Studio for U.S. Equities, and the extension into crypto is a natural progression. Over the years, SMA and RCM-X have combined efforts on practicum-based projects with UCLA's MSFE program in the Anderson School of Business, University of Illinois MSFE program, and Carthage College's finance programs to research and test the effects of sentiment data on trading strategies and alpha across asset classes, including Bitcoin. "As we scale our execution and software business in both the traditional and cryptocurrency markets, including futures, it's essential that RCM-X continues partnering with the best of breed technology and data firms," said Joe Signorelli, CEO and Managing Partner of RCM-X. "In order to optimally leverage our latency sensitive and microstructure aware technologies, extremely high-speed sentiment feeds like those offered by Joe Gits and the SMA team will become more and more of a necessity for anyone looking to trade programmatically."


Chinese Internet Court Employs AI and Blockchain to Render Judgement

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In China, blockchain technology is increasingly employed to settle court cases, local news outlet Global Times reported on April 25. Speaking at the 2019 Forum on China Intellectual Property Protection, Zhang Wen, president of the Beijing Internet Court -- which was established in September 2018, and has since processed 14,904 cases -- reportedly said that the court employs technologies such as artificial intelligence (AI) and blockchain to render judgement. Zhang reportedly told the Global Times that "of the 41 cases concluded [with blockchain technology] so far, parties chose to settle out of court rather than litigate in 40 cases with compelling evidence from blockchain. He also noted that the court had deployed blockchain in 58 cases to collect and provide evidence. "In the current use of AI as an assistant to make rulings, efficiency is prioritized over accuracy.