fintech


The Future of FinTech is AI & Big Data - Inteliment Technologies

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Financial Technology, or FinTech, is a very young industry though growing at an exponential speed. It basically involves companies that make use of various technologies to better their financial systems. In other words, FinTech largely associates itself with the financial sector and includes all possible innovations in retail banking, investments, financial literacy and education, even Bitcoin. In fact, you may call it a digital revolution in the financial sector. Such figures clearly focus on the growing importance of FinTech for businesses.


[slides] Cloud Security by Design @CloudExpo #Cloud #DevOps #Compliance

@machinelearnbot

As enterprise cloud becomes the norm, businesses and government programs must address compounded regulatory compliance related to data privacy and information protection. The most recent, Controlled Unclassified Information and the EU's GDPR have board level implications and companies still struggle with demonstrating due diligence. Developers and DevOps leaders, as part of the pre-planning process and the associated supply chain, could benefit from updating their code libraries and design by incorporating changes. In her session at 20th Cloud Expo, Maria Horton, CEO of EmeSec, discussed how addressing the new liabilities of sensitive data tracking for GDPR and CUI via code design can reap huge benefits for organizations and for developers that do just that whether in cloud, IoT or traditional environments. Speaker Bio Maria Horton, CEO of EmeSec, is a recognized cybersecurity and compliance expert with hands on experience in cloud, FedRAMP, CUI and cybersecurity.


"FinTech and AI: Myths and Realities" by CreditEase MD at Tie Inflect 2018, San Francisco Bay Area

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These include H20.ai - an open source machine learning One; Active.ai - a conversational AI platform used by over five large Ms. Patwardhan shared her perspective from her past experiences in Facial recognition is the face of future for video banking. Not in the database yet was the verdict! Ms. Patwardhan highlighted that biometrics and digital identity can "One rolls its eyes cutely while greeting customers and the other "Has anyone watched Black Mirror?" she asked. "AI will continue to grow and have many positive


Why Your AI Strategy Won't Work Without a Mobile Solution

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Someone recently asked my opinion on how artificial intelligence is going to transform banks, capital markets and insurers. The implication is that both established firms -- as well as disruptive FinTech players -- have an AI strategy sure to change the status quo. For example, much has been written about the rise of robo-advisors and the slacking demand for "smartest person in the room" human portfolio managers. To a degree, that may be true. However, the data uncovered by AI won't be truly beneficial unless employees are able to access it anytime, anywhere.


Low-Code and No-Code Platforms @CloudEXPO #AI #LowCode #NoCode

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The Internet of Things will challenge the status quo of how IT and development organizations operate. Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and share the must-have mindsets for removing complexity from the development process, accelerate application delivery times, and ensure that developers will become heroes (not bottlenecks) in the IoT revolution. Speaker Bio Craig Sproule is the CEO of Metavine where he is responsible for the company's vision, product development and customer success.


Banks And Fintechs-A Better Value Proposition

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Over the last 30 years, the world has become increasingly computerized. We've traveled through the discovery and subsequent commercialization of the internet, the birth of and increasing ubiquity of mobile phones, the rise of virtual social platforms and services, the rise of big data, and the subsequent shift from typing to real-time video and chatbot interactions. Today, we're in the beginning of the rise of rich curated media tailored to the individual.


Extreme Computing @CloudEXPO @NVIDIA #HPC #AI #ArtificialIntelligence

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Extreme Computing in the Cloud...How to Get It for FREE! Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is being used on IBM Cloud, Amazon, and Microsoft Azure and how to gain access to these resources in the cloud... for FREE! Speaker Bio Michael O'Neill is an established leader for NVIDIA.



The Fintech Files: Do we expect too much from AI?

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Johnny come... just in time There's no first mover advantage according to Nomura -- but equally no one wants to miss the boat, Mohideen said. It is also hard to dodge the hundreds of calls from fintechs promising to revolutionise banking through AI; Mohideen estimates he has fielded 400 in the last two years. Research in banks' innovation labs comes in many forms and one of the exercises Nomura is carrying out will set "certain standards" with the fintech firm to "use these tools", Mohideen said. He means both "sorting the wheat from the chaff" and "agreeing the rules of the game", which is a very useful thing to do. Get it right and the benefits could be huge: predictive analytics for both trading and sales could help the bank better understand its clients.


Machine Learning and #Cognitive @ExpoDX #AI #IoT #MachineLearning

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Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines. Speaker Bio Stuart Gillen is the Director of Business Development at SparkCognition. In this role, he is responsible for driving business engagements, partner development, marketing activities, and go-to market strategy.