The objective of this paper is to explore how financial big data and machine learning methods can be applied to model and understand financial products. We focus on residential mortgage backed securities, resMBS, which were at the heart of the 2008 US financial crisis. These securities are contained within a prospectus and have a complex waterfall payoff structure. Multiple financial institutions form a supply chain to create prospectuses. To model this supply chain, we use unsupervised probabilistic methods, particularly dynamic topics models (DTM), to extract a set of features (topics) reflecting community formation and temporal evolution along the chain. We then provide insight into the performance of the resMBS securities and the impact of the supply chain through a series of increasingly comprehensive models. First, models at the security level directly identify salient features of resMBS securities that impact their performance. We then extend the model to include prospectus level features and demonstrate that the composition of the prospectus is significant. Our model also shows that communities along the supply chain that are associated with the generation of the prospectuses and securities have an impact on performance. We are the first to show that toxic communities that are closely linked to financial institutions that played a key role in the subprime crisis can increase the risk of failure of resMBS securities.

In addition, new growth investors including iCON and TripActions' CEO and Co-founder Ariel Cohen joined the round. Theator, the creator of Surgical Intelligence, announced today that it has raised $24M in an extension of its Series A funding round. This extension follows an initial $15.5M Series A round announced in February 2021, bringing the round total to $39.5M.[FP1] Theator is pioneering Surgical Intelligence to eliminate the paradigm that where you live determines if you live. Theator's Surgical Intelligence Platform institutionalizes the routine capture of surgical video data, harnessing AI and computer vision to automatically analyze every operation.

The Israeli startup, which has developed an AI platform that helps predict which patients will benefit from proactive interventions and improve the point of care, has doubled its valuation to several hundred million dollars since its last funding round in 2019

SLAMcore uses deep learning to help robots, consumer products and … and spatially aware machines predicted to exceed $100 billion by 2030, …

July 20, 2022 (Orlando, FL) – Knup Solutions, a leading sports betting content agency in the United States, today announced the acquisition of Coded Content. Coded Content is a software solution that uses artificial intelligence and coding to auto-generate uniquely written content for sports websites. The acquisition complements the rest of the Knup Solutions service offerings in the content space. Not only will they continue to have their team of 70 sports creators writing articles & creating videos, but now with the acquisition of Coded Content, the company will be able to offer more scale & a lower price point for websites looking for AI-created content. AI-Driven content is emerging as a hot topic in the marketing world, not only in the iGaming industry but across all areas.

People who are skeptical of artificial intelligence (AI) and machine learning (ML) often harbor fears of robots stealing jobs and human workers being replaced by automatons. But the reality is that AI is increasingly being applied across sectors not to replace our jobs but to enhance them. AI and ML applications are augmenting every facet of how we do business, giving knowledge workers superpowers to be more productive, capable and effective than ever before. As a founding partner at an investment firm specializing in technology, I have a ringside view of the ways that companies are integrating new intelligent software into their business practices, bringing breakthrough solutions to major problems and opening up new opportunities for revenue growth. With the ability to avoid hours of menial labor and solve problems that were previously insurmountable, companies can elevate human potential in unprecedented ways.

Optimove, a leading CRM marketing platform, announced it has acquired Graphyte, a real-time, cloud-based personalization platform optimizing the web and mobile experience for consumers. The announcement comes on the heels of Optimove's purchase of Kumulos, a leading provider of a personalized messaging platform for mobile applications. The combined purchase price of the two deals was not disclosed. The acquisitions help bolster Optimove as one of the most comprehensive CRM marketing platforms. Its AI-driven solutions autonomously determine the next-best-action for each customer, eliminating the need for marketers to manually map every customer journey.

AI21 Labs is an artificial intelligence startup whose mission is to reimagine the way we read and write by making the machine a thought partner to …

These companies are leading the way in artificial intelligence. Artificial intelligence was once a far-off imagination of scientists and sci-fi enthusiasts. Now, the industry has a value just under $1 trillion and is projected to grow to $14 trillion by 2030, according to Ark Invest. That's because AI is more than just a supercomputer that can play chess and engage in small talk; companies are using AI to automate and streamline their business processes. For example, automated algorithms remove most of the posts that violate Facebook's community standards.

With customer expectations and preferences changing faster than ever, a deep understanding of the customer demand is essential to making the right decisions about marketing spend, sourcing, inventory, production, transportation, staffing, and more. Critical business measures like turnover, capital expenditure, risk evaluation, profit margins, cash flow, and capacity planning are all reliant on accurate demand forecasting, which ultimately can help businesses to estimate the total sales and revenue for a defined future. Typically, demand forecasting includes activities such as supply planning, product manufacturing planning (e.g., sourcing, R&D), and financial planning. The critical aspect of these planning activities is to understand product demands from customers and how to fulfil those demands in the most timely and efficient way. By capturing the variability of future demand through forecasting, businesses can predict customer behaviors more accurately and meet their demands with a higher level of confidence and significantly reduced lead times from order to delivery.