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Teradata Corporation (TDC) is a global leader in analytic data platforms, marketing and analytic applications, and consulting services. The company specializes in helping organizations collect, integrate, and analyze their data to gain deeper insights into their customers and business operations.
Teradata's core business revolves around providing advanced data warehousing and analytics solutions. These solutions enable businesses to manage and analyze large volumes of diverse data, offering insights that drive better decision-making and operational efficiencies. Teradata's portfolio includes products for data warehousing, asset optimization, fraud prevention, product innovation, and risk mitigation.
With a significant portion of its revenue generated in the United States, Teradata serves a wide range of industries, including financial services, retail, healthcare, and manufacturing. The company's marketing applications help businesses enhance customer loyalty through precise and effective marketing management tools.
Recently, Teradata has been focusing on cloud-based solutions and has made significant strides in integrating AI and machine learning capabilities into its offerings. These advancements help clients stay competitive in an increasingly data-driven world by providing real-time analytics and predictive insights.
In terms of financial performance, Teradata has shown resilience and adaptability in a rapidly changing market. The company continues to form strategic partnerships and collaborations to expand its reach and enhance its product offerings. For the latest updates and detailed information about Teradata Corporation, visit their official website at teradata.com.
Teradata (NYSE:TDC) has announced an enhanced partnership with AWS to deliver 'rapid-start' Gen AI use cases through Teradata VantageCloud integration with Amazon Bedrock. The integration provides access to 60+ Gen AI use cases across various industries and functions, allowing customers to leverage foundational models from AI companies like AI21 Labs, Anthropic, and Meta. According to a survey, 84% of AI executives expect results from AI projects within a year of deployment. The integration will be available in Q2 2025, offering highly scalable APIs and solution-specific accelerators to implement Gen AI use cases efficiently and cost-effectively.
Teradata announced that Teradata AI Unlimited is now available for public preview through the Microsoft Fabric Workload Hub. This serverless compute engine integrates ClearScape Analytics functionality with Microsoft Fabric and OneLake, offering over 150 AI/ML functions without requiring a Teradata VantageCloud subscription. The solution enables developers and data scientists to create self-service sandboxes for AI experimentation, eliminating infrastructure complexity. Users can process multiple billion-row datasets concurrently and leverage integrated SQL notebooks with pre-defined use cases. The service will be generally available through the Fabric Workload Hub ISV marketplace in 2025.
Teradata (NYSE: TDC) has announced its participation in three major investor conferences: RBC's 2024 Global TIMT Conference in New York on November 19th, Wells Fargo's 2024 TMT Summit in San Francisco on December 4th, and Barclay's 2024 Global TMT Conference in San Francisco on December 11th.
CEO Steve McMillian will present at RBC's conference, while CFO Claire Bramley will present at both Wells Fargo and Barclay's events. All presentations will be webcast live on Teradata's Investor Relations website and archived for 30 days.
Teradata (TDC) reported strong Q3 2024 results with notable cloud business growth. Public cloud ARR reached $570 million, up 26% year-over-year, with a cloud net expansion rate of 120%. GAAP diluted EPS increased 175% to $0.33, while non-GAAP diluted EPS rose 64% to $0.69. Cash flow from operations improved 88% to $77 million. Despite cloud growth, total ARR decreased 3% to $1.482 billion. The company increased its full-year 2024 EPS guidance and expects public cloud ARR growth of 18-22% in constant currency.
Teradata (NYSE: TDC) has promoted Louis Landry to Chief Technology Officer. With over 20 years of software architecture and engineering leadership experience, Landry will drive the company's technological vision and innovation strategy. Previously heading Teradata's Technology and Innovation Office, Landry has spent more than 10 years at the company, leading advanced R&D initiatives. His team has developed key innovations including Teradata ask.ai and the compute engine project that became Teradata AI Unlimited. Under his leadership, Teradata aims to strengthen its position in enterprise data platforms for the AI era.
Teradata (NYSE: TDC) has announced the release date for its third quarter 2024 financial results. The company will disclose its earnings after the market closes on Monday, November 4, 2024. Following the release, Teradata will host a conference call to discuss the results and provide a business and financial update.
The earnings conference call is scheduled to begin at 1:30 p.m. PT on the same day. Investors and participants can join the call by dialing (404) 975-4839 and using the access code 205954. For those outside the United States, global dial-in numbers are available on the company's website. A live webcast and replay of the call will be accessible on the Investor Relations page of Teradata's website at investor.teradata.com.
Teradata (NYSE: TDC) has announced a collaboration with NVIDIA to enhance its Vantage platform with NVIDIA AI capabilities. This integration aims to accelerate AI workloads and support the development of large language models (LLMs), agentic workflows, and retrieval-augmented generation (RAG) applications for large enterprises using public and private clouds.
Key points:
- Integration of NVIDIA NeMo and NIM microservices into Vantage platform
- Support for small language models (SLMs) and open LLMs in VantageCloud Lake
- NVIDIA AI accelerated computing infrastructure offered on Teradata's platform
- NVIDIA NeMo Retriever to be offered on Teradata VantageCloud
- Availability of NVIDIA AI accelerated compute on AWS in November, with additional capabilities in Q4 and 2025
Teradata (NYSE: TDC) has announced new capabilities for VantageCloud Lake and ClearScape Analytics to simplify generative AI (GenAI) implementation for enterprises. The company introduced a bring-your-own LLM (BYO-LLM) feature, allowing customers to use small or mid-sized open-source language models for specific business needs. This approach aims to provide cost-effective and immediate ROI from GenAI initiatives.
Teradata has also integrated with NVIDIA's full-stack AI accelerated computing platform, offering customers the flexibility to use either GPUs or CPUs based on LLM complexity. The new capabilities support LLM inferencing and fine-tuning, enhancing model accuracy and efficiency. These features are designed to maximize security, privacy, and trust while minimizing data movement costs.
Teradata (NYSE: TDC) announced the speaker lineup and agenda highlights for Possible 2024: Los Angeles, a global event focusing on AI innovation and technology. The three-day event will explore solutions in AI/ML, data, and cloud technologies, offering hands-on training and breakout sessions. Attendees will learn about in-database analytics that can reduce data prep time, speed up model training, and accelerate model deployment.
Keynote speakers include Dr. Radhika Dirks, CEO of XLabs AI, and customer speakers from the New York Giants and OSF HealthCare. The event will feature sessions from various companies discussing AI and data analytics applications in their businesses, including Amazon Marketplace, American Airlines, AWS, and Microsoft.
Teradata (NYSE: TDC) has announced new features for its ClearScape Analytics platform at Possible 2024: London. These enhancements aim to maximize AI/ML investments and boost data science productivity for organizations. Key updates include:
1. Spark to ClearScape Analytics conversion tool to reduce complexity and costs
2. AutoML for automated model training
3. KNIME Integration for no-code/low-code data science workflows
4. New self-service UX enhancements for easier data access
5. Open-source ML support on VantageCloud
These features address challenges in AI/ML processes, aiming to streamline operations, reduce costs, and accelerate AI initiatives for both technical and non-technical users.
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