All Research Sponsored By:Teradata
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How to power AI in practice with ClearScape Analytics™ - LinkedIn Live with Frank Säuberlich and Chris Hillman
Generative AI is poised to create a massive impact on enterprise value, and it’s already opening the doorway to new frontiers in productivity and innovation. This webcast will provide you with an overview of a comprehensive cloud analytics and data platform for trusted AI innovation. Tune in to learn how you can accelerate your AI journey.
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Leadership and Decision Making in the Era of Generative AI
Today, AI is changing the data and analytics game. That’s why IDC recently set out to understand the characteristics of organizations that are making the most of AI-driven decisioning and the outcomes they are achieving. Download this analyst report to discover key trends in leadership and decision making in the era of generative AI.
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Teradata AI Unlimited via AWS Marketplace
This product overview examines a solution designed to help organizations deliver AI innovations faster with secure integrations that let you focus on tapping into data instead of managing your architecture. Read on to discover how you can unlock the flexibility and scale you need to make AI innovation quicker, easier, and more cost-effective.
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The era of generative AI: How enterprises can prepare for 2024
In this webcast, you will hear from experts including Dr. Chris Hillman, senior director of data science at Teradata, and Nina Schick, a global leader in the AI landscape, about how to maximize AI for your business, key opportunities in generative AI, and more. Tune in to learn how you can keep your business ahead of the curve in 2024.
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Teradata AI Unlimited via Microsoft Fabric and Azure Marketplace
In this product overview, you’ll discover how you can empower users to access the right capabilities for each step in the AI and data analytics journey and foster innovation. Read on to learn how harmonized data and trusted AI/ML can help you make more confident decisions and drive meaningful results for your business.
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3 Steps To Creating Enterprise Value With Generative AI
While there are a variety of strategies for unlocking the potential of AI, 3 emerging use cases stand out as high-value investments that can help organizations maximize their AI capabilities. Read on to learn about 3 steps you can take to establish powerful AI strategies for your business.
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Enterprise 2030: Building The AI Powered Company Of The Future
Access this research report to learn why the most future-ready organizations will be the ones that make AI a competitive advantage, as well as 4 steps business leaders can take today to accelerate their transformations, starting with evaluating their data and AI maturity.
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Responsible AI in Practice
Despite the importance of ethics, it is only one component of responsible AI. Responsible AI is a strategy for executing ethical AI while maintaining accountability, compliance, and governance to enable great customer experiences and drive growth for your business. Read on to learn how you can put it into practice.
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6 Steps to Smashing Silos in Your Business
This informative resource explains the steps that business leaders can take to prevent and break down silos within their organizations, particularly within marketing departments.
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Improving the Success of Your Enterprise's Email Marketing Campaigns
This document outlines some of the standard best practices that can enhance email communications, including: segmentation, personalization, mobile optimization, and landing pages. It also includes mistakes to avoid to increase customer loyalty and nurture incoming leads.
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Email Deliverability: Getting to Your Customer’s Inbox
This eBook provides informative statistics and practical tips for ensuring that the messages being sent by your business actually make it to your subscribers' inboxes.
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Evaluate Today's Leading Integrated Marketing Management Vendors
This informative analyst report from Gartner evaluates 12 leading integrated marketing management (IMM) vendors on a number of factors, including customer experience, product functionality, innovation, and many more.
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Teradata Aster Discovery Portfolio
Access the following white paper to uncover a discovery and analytics platform that can give you more insight from your big data than what can be found with multiple systems. Get a firsthand look at how an all-inclusive discovery system can deliver faster and more powerful insights, ultimately improving your functions and profitability.
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Unified Data Architecture
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
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Discovering the Value of a Data Discovery Platform
Access the following white IDC research paper to uncover the requirements and drivers for acquiring a data discovery platform. Also learn about the capabilities with deployment, recommendations to choose from, and more
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Harnessing the Value of Big Data Analytics
Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
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Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam
Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more.
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Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads
Traditional business intelligence (BI) tools no longer cut it in the era of big data analytics as workloads and data requests continue to grow in complexity. Attend this exclusive webcast to learn the benefits of leveraging an integrated BI and data warehouse architecture to meet the increasingly-complex demands of the modern enterprise.
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Teradata Active Data Warehouse Private Cloud: Mitigate Risk and Meet Dynamic Business Needs
Check out this article now to learn about public v. private clouds and how they stack up when it comes to mitigating risk and meeting business needs.
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A Beautiful, Cloudy Forecast: Research shows business potential in cloud-based predictive analytic solutions
Predictive analytics and cloud solutions are changing the way organizations do business. But what about predictive analytics in the cloud? Check out this article by industry expert James Taylor on the concerns and benefits regarding cloud-based predictive analytics and learn about companies that have experienced the impressive results.
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Cloud-based BI, the pros and cons
With the ever-increasing influx of information and the need to effectively analyze it without using excessive time and funds, cloud business intelligence (BI) is becoming widely adopted among organizations. This e-guide provides expert insight on the strengths and weaknesses of cloud analytics and BI versus traditional on-premise systems.
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Magic Quadrant for Data Warehouse Database Management Systems
The database warehouse DBMS market is evolving as needs change and demands for better, more efficent technology increase. With the competition for the next big database warehouse becoming more and more intense, vendors are stepping up their own marketing efforts. Because of this, it's important to know how to tell which system is right for you.
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Oracle to Teradata Migration Case Studies: Realizing value and improving capabilities
This paper profiles four of the more than 200 Oracle customers who have migrated to a Teradata solution. The companies profiled in this paper have achieved performance improvements, additional business benefits that justify the migration cost, and successful integration of the Teradata Database with the Oracle OLTP environment.
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Magic Quadrant for Data Warehouse Database Management Systems (Gartner)
The data warehouse DBMS market is undergoing a transformation, including many acquisitions, as vendors adapt data warehouses to support the modern business intelligence and analytic workload requirements of users. This document compares 16 vendors, including IBM & Netezza, to help customers find the right one for their needs.