Geminare, a leader in delivering data curation, resiliency and IT orchestration solutions, announced today the availability of mezzanine.ai as a standalone platform. Mezzanine.ai facilitates impactful, curated business outcomes through the use of readily available pre-trained machine learning models from key industry AI leaders including Google Cloud, IBM Watson, AWS and Microsoft Azure.
Mezzanine.ai is a new approach for businesses looking to engage with machine learning. It empowers your data to be seamlessly and securely evaluated through multiple pre-trained machine learning models through a sophisticated, wizard-driven, orchestration and automation platform. Mezzanine.ai delivers on the promise of bringing AI and machine learning capabilities directly to businesses, with absolutely no need for in-house AI or machine learning knowledge, specialized technology or data scientists. By leveraging a multiplicity of machine learning models simultaneously, the detail and volume of data insights increase exponentially. Through its comprehensive application integration library, mezzanine.ai’s underlying patented platform establishes secure synchronizations between business applications and data, whether hosted or on-premises, allowing companies to instantly leverage the power of machine learning.
Joshua Geist, Geminare’s CEO, commented, “Machine learning is a transformational force for businesses, but like so many other technologies before it, access is limited to those with significant budgets and expert knowhow. Mezzanine.ai changes that by enabling businesses to access whichever models are best suited for their needs from the platforms of their choice, whether it’s just a single pre-trained model or all of them at the same time. With mezzanine.ai, businesses can test and evaluate the results of their data as it’s run through pre-trained ML models, almost instantaneously. Results with customers such as MovieComm have been outstanding and exactly what we had hoped for when launching mezzanine.ai – immediate access to machine learning – quickly and easily.”
Customer Case Study: Mezzanine.ai powers MovieComm’s exponential growth in data capture and analytics within the media and entertainment industry.
MovieComm helps thought leaders inspire and engage others by using Hollywood movie clips to make communications come alive. Customers work with MovieComm to obtain clips with specific references or themes for projects ranging from embedding high-value content into multiple communications platforms including: internal communications platforms, presentations, email and text messages. With a published goal of over 1,000,000 documented clips to provide to the market, leveraging the power of AI and machine learning was a clear necessity and represented a potentially big win for MovieComm. However, the required machine learning models were dispersed across different vendor platforms including Amazon Rekognition, Google Video Intelligence and Microsoft Media Services, creating a barrier to entry for MovieComm – one that mezzanine.ai was able to resolve with ease.
Through mezzanine.ai, multiple machine learning models were used in parallel to extract data from movie clips. Insights gleaned include Sentiment, Unsafe Content, Objects, and Celebrity Recognition – items that customers use in their searches for the ideal clip, as well as audio transcripts allowing for translation and specific search terms. Machine learning models were orchestrated to be leveraged in sequence in order to gain the most insight from the tools available. Extracted data was then automatically populated back into the MovieComm platform.
“All machine learning models are not created equal,” Scott DiGiammarino, CEO of MovieComm stated. “Using mezzanine.ai and its machine learning orchestration opened up new insight into our data and has been a game-changer for us. MovieComm is now able to deliver a vastly superior end-user experience, and fully leverage the value of our films’ assets. Overnight, we’ve gone from a usable database of tens of thousands of searchable items to millions, and from a cataloging time of weeks to just minutes. Our experience with mezzanine.ai capabilities has been invaluable.”
UBS Managing Director Choo Oi Yee To Join iSTOX As Chief Commercial Officer (CCO)
iSTOX, the first regulated platform in any major global financial center to offer end-to-end issuance, custody, and trading of digitized securities, is pleased to announce the appointment of Choo Oi Yee as its first Chief Commercial Officer (CCO).
Choo has over 20 years of experience in the investment and banking industry, most recently as Managing Director and Head of Singapore Corporate Client Solutions for UBS, where she was responsible for UBS Singapore’s investment banking business. In her new role at iSTOX, Choo will be a key member of iSTOX’s management team responsible for driving the company’s overall business growth by building its network of investors and issuers. She will join the iSTOX team in January of 2020.
“I see some truly fundamental changes on the horizon for capital markets and I believe that Singapore — and the iSTOX team — are uniquely well positioned to take advantage of them,” she said. “I’m very excited to be joining the team and look forward to helping iSTOX grow into the platform of choice for 21st century issuance and investment.”
Choo’s appointment comes at a strategically important period for the company; iSTOX has initiated plans to grow its base of issuers and investors as it works towards graduation from MAS’s Fintech Regulatory Sandbox in early 2020.
“It was clear to us that we needed someone with Oi Yee’s stature, reputation, and experience for our CCO role. Among other requirements, we needed someone with deep securities, issuance, and trading experience at a very senior level; someone with outstanding relationships with major institutional investors, business leaders, family offices, and others; and, most importantly, someone with a deep and instinctual understanding of the challenges and opportunities facing issuers and investors,” said Danny Toe, Founder and Chief Executive Officer of ICHX.
“We are pleased to welcome Oi Yee to the team as we open up applications for iSTOX investor accounts and plan an exciting issuer pipeline ahead of our projected sandbox graduation early next year,” said Darius Liu, Co-Founder and Chief Strategy Officer of iSTOX.
Euromoney TRADEDATA Partners With UK FinTech ipushpull to Create On-demand ‘Data-as-a-service’
Euromoney TRADEDATA is pleased to announce a strategic partnership with ipushpull, a powerful data sharing and workflow platform.
Euromoney TRADEDATA recognises that the on-demand model is the future of data consumption, particularly within community chat and messaging networks, as part of a suite of delivery systems required to service all parts of the market that need futures and options reference data.
Through a single connection to ipushpull, Euromoney TRADEDATA can distribute data into a variety of applications including Symphony, the secure collaboration platform, with nearly half a million connected financial market users. The ipushpull platform provides Euromoney TRADEDATA with new distribution channels for secure, audited, access-controlled data delivery.
Mark Woolfenden, Managing Director of Euromoney TRADEDATA, comments:
“This is a very important integration for Euromoney TRADEDATA, as we begin to experiment with embedded, on-demand workflow functionality and delivery systems for our reference data. We recognise ipushpull as a leading exponent in data sharing workflow technology and we expect further benefits from their connections to other community messaging solutions. Also, as part of the offering, we can now offer a functionally rich Excel plugin for desktop users to access our reference data, which integrates seamlessly within users’ existing workflows. In addition, we look forward to working with ipushpull to develop a clutch of bots, to further enhance our customers’ experience in using our data services.”
Matthew Cheung, CEO of ipushpull, comments:
“We’re excited to offer Euromoney TRADEDATA new avenues to deliver and monetise their data to a variety of desktop and cloud services. We see this innovative approach as the first step towards an on-demand ‘Netflix’-style distribution model for data producers and consumers.”
SOURCE Euromoney TRADEDATA; ipushpull
360 Finance’s LendingAdda Launches Diwali Offers
LendingAdda consumer lending marketplace owned by parent company 360 Finance (NASDAQ: QFIN) announces Diwali offer for credit card holders. On 6th October, SBI announced a bumper Diwali offer for its credit card holder; on 10th October, the State Bank of India approved a ten percent discount for its credit card users; on 14th October, LendingAdda launched the credit card function, and AMEX, SBI, Citi banks’ cards are included.
Due to India’s inefficient banking system, most people do not have a credit history, which leads to lower utilization of credit cards and limited accessible for many.
In this condition, fintech companies empower people’s lives compared with banks. LendingAdda, a digital finance platform, has integrated more diversified financial services. Its innovative data-driven and behavioral risk management models can help overcome barriers that arise from a lack of widespread and robust credit scoring.
Prantik Ray, professor of finance at XLRI-Xavier School of Management at the University of Minnesota, has stated that digital finance can be instrumental in providing credit ratings and potentially be leveraged in other areas. In essence, online finance can help create more possibilities in people’s lives.
LendingAdda evaluates a user’s credit based on big data and selects the most suitable loan and credit card product offers for consumers using intelligent matching. So far, it has offered lending services to more than 4 million Indians, and the number of borrowers is multiplying.
Most importantly, LendingAdda’s products cover almost every part of a user’s daily life: microfinance, credit cards, commercial loans, mortgages, auto loans, medical loans, education loans, etc., and its interest rate is usually lower than banks.
Additionally, LendingAdda has a higher credit line (up to 10 lakhs), which can almost always meet the borrowing needs of consumers, and the money arrival rate is less than 5 minutes, which was much faster than the bank.
With the help of LendingAdda, Moham finally got his wish of buying an iPhone for his girlfriend, which he thinks will help him bring greater happiness to his life.
How does LendingAaad help people accomplish their dreams?
Compared with many other enterprises, LendingAdda has world-class technology that enables it to offer a highly secure lending process with tailored products and services that help serve the daily lives of its users.
SOURCE 360 Finance, Inc.
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