Revenue-cycle management company R1 RCM on Monday said it plans to acquire Cloudmed in an all-stock transaction that values Cloudmed at roughly $4.1 billion. Cloudmed uses artificial intelligence and automation to analyze medical records, payment data and medical insurance models for revenue-cycle management. The company has more than 3,100 healthcare provider customers. The acquisition fits into R1's vision of creating an end-to-end platform for managing revenue cycle for providers and engaging patients around payment. "We have been very deliberate and very consistent in terms of our excitement around the long-term automation potential that exists in this industry," said Joe Flanagan, R1's president and chief executive officer, Monday at a conference. "This transaction significantly increases our data footprint and we are positioned very well for meaningful innovation in and around data." Cloudmed's data will accelerate R1's work in machine learning, which requires data to create accurate models, Flanagan said at J.P. Morgan's annual healthcare conference--which is virtual for the second year due to the COVID-19 pandemic.

Today, Daily AI, the provider of intelligent solutions for the future of mortgage lending, announced that it has acquired Whiteboard CRM. Whiteboard provides a mortgage CRM built to accelerate lead management, partner relationships, team production, and revenue growth. This acquisition will enable Daily AI to continue its significant expansion of market share since its founding in 2019 and continue fulfilling its mission of empowering mortgage professionals to increase their performance with its suite of automation tools. "All of us at Daily AI are looking forward to partnering with Whiteboard," said Spencer Dusebout, co-founder and CEO of Daily AI. "With the combined power of our sales, development, product, marketing, and customer success teams, we believe we will be an unstoppable force in the mortgage lending industry to create automation and AI-driven products and services of significant value to our customers."

NEW YORK – Protai, an Israeli startup supporting drug discovery with proteomics and artificial intelligence, said on Tuesday that it has landed $8 …

Fractal has raised $360 million from TPG in a new financing round and entered the unicorn club as the Mumbai and San Francisco-headquartered AI startup, which counts Google and Wells Fargo among its customers, scales its offerings and begins preparation for an IPO. The new financing round valued the 21-year-old startup "at well north of $1 billion," said Srikanth Velamakanni, co-founder and group chief executive at Fractal, in an interview with TechCrunch. TPG invested in the startup through its TPG Capital Asia, its Asia-focused private equity platform. The new round, which brings the startup's all-time raise to about $685 million, involves some secondary share purchase as well. Fractal Analytics provides artificial intelligence and analytics solutions to scores of Fortune 100 firms.

Financial forecasting has been an important and active area of machine learning research because of the challenges it presents and the potential rewards that even minor improvements in prediction accuracy or forecasting may entail. Traditionally, financial forecasting has heavily relied on quantitative indicators and metrics derived from structured financial statements. Earnings conference call data, including text and audio, is an important source of unstructured data that has been used for various prediction tasks using deep earning and related approaches. However, current deep learning-based methods are limited in the way that they deal with numeric data; numbers are typically treated as plain-text tokens without taking advantage of their underlying numeric structure. This paper describes a numeric-oriented hierarchical transformer model to predict stock returns, and financial risk using multi-modal aligned earnings calls data by taking advantage of the different categories of numbers (monetary, temporal, percentages etc.) and their magnitude. We present the results of a comprehensive evaluation of NumHTML against several state-of-the-art baselines using a real-world publicly available dataset. The results indicate that NumHTML significantly outperforms the current state-of-the-art across a variety of evaluation metrics and that it has the potential to offer significant financial gains in a practical trading context.

The benefits of digital transformation derive from the combination of its two key building blocks, technology and people, though there's debate about which plays a more important role. Clearly, it's technological advances that make digital transformation possible – big leaps in cloud computing, data analytics, edge computing, and artificial intelligence. On the other hand, you'll often hear that "digital transformation is about people, not technology." However, at its most advanced, digital transformation is not precisely about people or technology, but about the relationship between people and technology. When these two powerful entities are merged with a digital transformation strategy, a business reaps major productivity benefits that neither element can deliver by itself.

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine learning model, but at the same time, it can be time-consuming and tedious work. A Korean startup called AIMMO, which uses software and humans to label and categorize image, video, sound, text and sensor fusion data, built an AI data annotation platform, enabling the data labeling faster for enterprises. AIMMO announced today it has raised $12 million in a Series A round to advance its data labeling technology and spur global expansions. Seven venture capital firms participated in the latest round: DS Asset Management, Industrial Bank of Korea, Hanwha Investment & Securities, S&S Investment, Toss Investment, Korea Asset Investment & Securities and Venture Field.

Growth Acceleration Partners (GAP), a strategic technology solutions partner, experienced strong growth in key strategic areas this year, including record-breaking YoY revenue growth, onboarding several new enterprise clients, adding a plethora of highly diverse GAP employees (GAPsters) along with doubling down on its robust giving initiatives. "GAP's 40 % growth in 2021 can be attributed to the incredibly talented GAPsters who dedicate themselves to ensuring customer success," said Joyce Durst, co-founder, and CEO. "Our talented engineering teams, coupled with a surging market demand for digital transformation expertise and strong client partnerships, yielded explosive growth for our company." The number of GAPsters increased substantially this past year, bringing GAP over the 500-employee mark. As a woman-owned and led company, GAP continues to focus on diversity in hiring and recruitment, with a focus in recruiting women engineers.

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