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Pomerantz Law Firm Announces the Filing of a Class Action Against Upstart Holdings, Inc. and Certain Officers – UPST

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NEW YORK, June 23, 2022 (GLOBE NEWSWIRE) — Pomerantz LLP announces that a class action lawsuit has been filed against Upstart Holdings, Inc. (“Upstart” or the “Company”) (NASDAQ: UPST) and certain of its officers. The class action, filed in the United States District Court for the Northern District of California, and docketed under 22-cv-03668, is on behalf of a class consisting of all persons and entities other than Defendants that purchased or otherwise acquired Upstart securities between March 18, 2021 and May 9, 2022, inclusive (the “Class Period”) against Upstart and certain of its officers (collectively “Defendants”) seeking to pursue remedies under Sections 10(b) and 20(a) of the Securities Exchange Act of 1934 (the “Exchange Act”) and Rule 10b-5 promulgated thereunder.

If you are a shareholder who purchased or otherwise acquired Upstart securities during the Class Period, you have until July 12, 2022 to ask the Court to appoint you as Lead Plaintiff for the class. A copy of the Complaint can be obtained at www.pomerantzlaw.com. To discuss this action, contact Robert S. Willoughby at [email protected] or 888.476.6529 (or 888.4-POMLAW), toll-free, Ext. 7980. Those who inquire by e-mail are encouraged to include their mailing address, telephone number, and the number of shares purchased. 

[Click here for information about joining the class action]

Upstart is a financial technology firm that uses artificial intelligence (“AI”) and data science to underwrite consumer credit. The Company partners with banks to offer credit to consumers, either through the Upstart website or through banking partner websites embedded with Upstart technology. Upstart claims that its underwriting process allows banking partners to originate credit with higher approval rates, lower loss rates, and a high degree of automation.

The complaint alleges that, throughout the Class Period, Defendants claimed that the lack of loans the Company retained on its balance sheet ensured it only was exposed to limited credit risk. In reality, as investors learned after markets closed on May 9, 2022, the Company’s highly touted, AI underwriting model was unable to adequately assess credit risk in changing macroeconomic conditions. As a result, Upstart had been increasingly underwriting progressively less creditworthy loans throughout the Class Period.

Investors learned the truth during the Company’s first quarter 2022 earnings call with analysts when Upstart admitted that the loans the Company had been forced to retain on its balance sheet had more than doubled in a single quarter. Specifically, Chief Financial Officer Sanjay Datta (“Datta”) reported that the “balance of loans, notes, and residuals at the end of the quarter was . . . up to $604 million from $261 million in Q4.” Datta attributed the increase of loans on the Company’s balance sheet to “rising interest rates and rising consumer delinquencies putting downward pressure on conversion.” Datta acknowledged that “historically, [the Company’s] balance sheet has been almost exclusively for the purposes of R&D,” but in the first quarter of 2022, the Company used the balance “to do . . . sort of a market clearing mechanism.” He further stated that Upstart had “started to selectively use [its] capital as a funding buffer for core personal loans in periods of interest rate fluctuation where the market clearing price is in flux.”

Reporting on the Company’s results, one analyst dismissed the Company’s purported “market clearing” justification and explained that the increase in loans on the Company’s balance sheet represented a “divergence” from the Company’s “capital-light business model” that indicated the Company had “few alternatives other than to hold more loans due to funding issues.” In response to this disclosure, the price of Upstart common stock cratered 56% the following trading day, from a closing price of $77.13 on May 9, 2022, to a closing price of $33.61 on May 10, 2022.

Pomerantz LLP, with offices in New York, Chicago, Los Angeles, Paris, and Tel Aviv, is acknowledged as one of the premier firms in the areas of corporate, securities, and antitrust class litigation. Founded by the late Abraham L. Pomerantz, known as the dean of the class action bar, Pomerantz pioneered the field of securities class actions. Today, more than 85 years later, Pomerantz continues in the tradition he established, fighting for the rights of the victims of securities fraud, breaches of fiduciary duty, and corporate misconduct. The Firm has recovered numerous multimillion-dollar damages awards on behalf of class members. See www.pomlaw.com.

CONTACT:
Robert S. Willoughby
Pomerantz LLP
[email protected]
888-476-6529 ext. 7980

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Artificial Intelligence

SAS advances industry solutions with packaged AI models

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Tailored, lightweight AI models facilitate rapid deployment with low overhead
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — Today at SAS Innovate, SAS – a pioneer in data and AI solutions – unveiled a game-changing approach for organizations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual license, SAS is equipping organizations with readily deployable AI technology to productionize real-world use cases with unparalleled efficiency.

AI software provider SAS is uniquely positioned to flex its decades of expertise in applying scalable and trustworthy AI models for prominent global financial, health care, and manufacturing brands, as well as government institutions.
“SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings,” said Chandana Gopal, Research Director, Future of Intelligence, IDC. “An area that is ripe for SAS is productizing models built on SAS’ core assets, talent and IP from its wealth of experience working with customers to solve industry problems.”
In today’s market, the consumption of models is primarily focused on large language models (LLMs) for generative AI. In reality, LLMs are a very small part of the modeling needs of real-world production deployments of AI and decision making for businesses.  With the new offering, SAS is moving beyond LLMs and delivering industry-proven deterministic AI models for industries that span use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity and more.
Unlike traditional AI implementations that can be cumbersome and time-consuming, SAS’ industry-specific models are engineered for quick integration, enabling organizations to operationalize trustworthy AI technology and accelerate the realization of tangible benefits and trusted results.
Expanding market footprintOrganizations are facing pressure to compete effectively and are looking to AI to gain an edge. At the same time, staffing data science teams has never been more challenging due to AI skills shortages. Consequently, businesses are demanding agility in using AI to solve problems and require flexible AI solutions to quickly drive business outcomes. SAS’ easy-to-use, yet powerful models tuned for the enterprise enable organizations to benefit from a half-century of SAS’ leadership across industries.
Delivering industry models as packaged offerings is one outcome of SAS’ commitment of $1 billion to AI-powered industry solutions. As outlined in the May 2023 announcement, the investment in AI builds on SAS’ decades long focus on providing packaged solutions to address industry challenges in banking, government, health care and more.
“Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem,” said Udo Sglavo, Vice President for AI and Analytics, SAS. “By tailoring our approach to understanding specific industry needs, our frameworks empower businesses to flourish in their distinctive environments.”
Bringing AI to the massesSAS is democratizing AI by offering out-of-the-box, lightweight AI models – making AI accessible regardless of skill set – starting with an AI assistant for warehouse space optimization. Leveraging technology like large language models, these assistants cater to nontechnical users, translating interactions into optimized workflows seamlessly and aiding in faster planning decisions.
“SAS Models provide organizations with flexible, timely and accessible AI that aligns with industry challenges,” said Sglavo. “Whether you’re embarking on your AI journey or seeking to accelerate the expansion of AI across your enterprise, SAS offers unparalleled depth and breadth in addressing your business’s unique needs.”
The first SAS Models are expected to be generally available later this year. Learn more about SAS Applied AI and Modeling here: https://blogs.sas.com/content/tag/applied-ai-modeling/.
Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 
Editorial Contact:Jennifer [email protected] 202-210-4180 sas.com/news
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Expanded SAS Viya uses generative AI to accelerate customer productivity

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Leading data and AI platform helps explain and integrate large language models to augment existing processes; SAS Data Maker will address critical challenges without compromising sensitive data
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — So many organizations have jumped on the GenAI bandwagon in the last year, but are those efforts delivering results yet? If the organization uses the SAS® Viya® data and AI platform, the answer is a resounding yes. Infused with large language model (LLM) orchestration strength, SAS Viya is already helping customers accelerate efficiency and productivity. Throughout 2024, SAS will continue delivering innovation by broadening its trustworthy GenAI footprint with the introduction of its own synthetic data generator – SAS Data Maker – and by offering industry-specific GenAI assistants.

Learn more about Viya LLM orchestration and other GenAI capabilities in this solution brief: Accelerate productivity with generative AI and SAS Viya.
“SAS’ guiding principle is everyone should be able to query data and perform complex analytical operations in every phase of the data and analytics life cycle, and generative AI is crucial in this democratization journey,” said Wiktor Markiewicz, Senior Market Research Analyst at IDC. “But most leaders don’t understand AI technology and how they can apply it meaningfully. Having an already trusted data and AI platform available removes the guesswork and kickstarts the generative AI journey.”  
Georgia-Pacific and wienerberger rely on Viya for AI and GenAI capabilitiesManufacturer Georgia-Pacific is a SAS customer using Viya. “When challenges emerge with our manufacturing equipment or process, we leverage sensor data, business rules, recommender systems and generative AI to suggest the appropriate next best action and resolve the problem,” said Roshan Shah, Vice President, Collaboration & Support Center, Georgia-Pacific. “Streaming analytics and intelligent decision management support from SAS Viya helps us capture immediate value by making the right decisions as events occur.”
About Georgia-Pacific, SAS Executive Vice President and CTO Bryan Harris said, “One of SAS’ core strengths is our deep bench of industry knowledge. We understand manufacturing, and we understand Georgia-Pacific’s unique challenges. We help them appropriately scale LLM orchestration and manufacturing-specific GenAI assistant strategies so their employees can use those cutting-edge applications to troubleshoot real-time operational issues.”
Global brick manufacturer wienerberger also uses SAS for AI support. The company reduces energy consumption, cuts greenhouse gas emissions and improves product quality using SAS on Microsoft Azure. “We use AI and IoT analytics from SAS to connect all our data streams and analyze the entire production process,” said Florian Zittmayr, Team Lead for Data Science at wienerberger. “SAS Analytics brings intelligence to the kiln by helping our engineers and employees to gain valuable information about each step and identify specific target values to make the drying and firing of bricks more economical.”
And a global consumer goods manufacturer uses Viya and its GenAI capabilities to optimize warehouse space, allocate inbound shipments and compare “what-if” scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards so the company’s supply chain teams can easily save time and improve warehouse space usage with in-depth analytics. This conversational assistant allows both technical and business users to generate fast and accurate results and improve decision making using SAS’ trustworthy, explainable analytics.
Organizations are enthusiastic about adopting and deploying GenAI, but there’s often a gap between preparedness and execution. Learn more by reading the US Executive Summary from a new study: Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage.
Viya stands out in the GenAI crowd because of pragmatic, industry-driven applicationsAs organizations explore GenAI, SAS prioritizes identifying industry-driven and ethically applied use cases. SAS enables secure adoption and fosters accelerated productivity and trusted results across diverse industries and regulatory landscapes. SAS’ GenAI functionality lives in leading products like Viya and SAS Customer Intelligence 360:
GenAI orchestration: Viya integrates external GenAI models with existing business processes and systems, orchestrating LLMs for end-to-end enterprise use cases. These capabilities are now available in SAS Viya.Viya Copilot: Enhances productivity for developers, data scientists and business users with a personal assistant that accelerates analytical, business and industry tasks. Viya Copilot offers diverse tools for tasks like code generation, data cleaning, data exploration, marketing planning, journey design and knowledge gap analysis. The first iteration of Viya Copilot is available through an invitation-only private preview.SAS Data Maker: Addresses data privacy and scarcity challenges by generating high-quality synthetic tabular data without compromising sensitive information, enabling organizations to address data privacy. SAS Data Maker is now available in private preview.Customer engagement. SAS continues to infuse GenAI capabilities into its flagship MarTech solution, SAS Customer Intelligence 360, to help marketers elevate the customer experience. SAS Customer Intelligence 360 already offers GenAI assistance on streamlining marketing planning, journey design and content and creative development. SAS is now introducing three new capabilities in SAS Customer Intelligence 360 for marketers: using GenAI to build recommended audiences based on natural language prompts, a chat experience to interpret audience data and a GenAI suggestion service for email subject lines.The GenAI functionality of Viya makes a meaningful difference to customers planning to:
Accelerate innovation: Seamlessly integrate GenAI models into decisioning workflows, AI/ML applications and existing business processes by using decisioning flow tools like SAS Intelligent Decisioning.Protect data: Support user privacy and security with robust data quality measures, including synthetic data generation, data minimization, anonymization and encryption, so sensitive information remains safeguarded.Create trustworthy and explainable results: Data experts can apply natural language processing techniques to preprocess data and explain the generated output, minimizing hallucinations and token costs.Enhance governance: Use built-in tools to create workflows that validate the life cycle of LLMs, including model risk management.Make more precise decisions: Quantitative decisioning capabilities, critical for successful GenAI reasoning, are built into the Viya platform.Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 
Editorial Contact:Laura Fleek [email protected] 214-803-6692sas.com/news
 
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Artificial Intelligence

LTA’s Padel Programme Teams Up with Skylab for Enhanced Performance Analytics

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MANCHESTER, England, April 17, 2024 /PRNewswire/ — Skylab, a UK-based specialist in sports technology and performance analysis, proudly announces its partnership with LTA Padel, solidifying its position as a premier provider of specialised services in the sports industry. This collaboration underscores Skylab’s commitment to excellence and showcases its ability to deliver innovative and diverse solutions tailored specifically for elite sports organisations like LTA Padel.

The LTA’s Padel performance programme in Great Britain will utilise Skylab’s Game Intelligence product and Performance Analysis services. The software will empower athletes and coaches alike with interactive and detailed match data, seamlessly integrated into intuitive dashboards that create automated video playlists. The Padel team at the LTA will gain a deeper understanding of padel at the elite level to support their talent identification, player pathway and coaching strategies as they strive to compete with the world’s best. 
“Previously, Padel players lacked accurate and robust performance data, which made it impossible to analyse the opposition in detail. Coaches couldn’t answer their players’ key performance questions quickly, and performance directors had to rely on gut feeling and experience when evidencing what elite Padel looks like. However, our product and services provide practitioners with insights into the technical and tactical aspects of the game, as well as the physical demands required for elite-level performance. This allows practitioners to understand and predict the future performance of their players, enabling them to make data-informed decisions” says Ciaran Skinner, Business Development Manager, Skylab.
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport.
For more information about Skylab and its services, please visit skylab.com or contact [email protected] 
Notes 
Website: www.skylab.com 
https://skylab.com/padel-performance-insights/ 
Social:
LinkedIn – Skylab: https://www.linkedin.com/company/studio-skylab 
LinkedIn – Skylab: Elite Performance Analysis: www.linkedin.com/company/skylab-epa/ 
About Skylab      
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport. Current clients include elite teams and organisations across Padel, Football, Athletics, Tennis, Rowing and more.
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