Resource Categories: EBook

Organizations are turning to data as the catalyst for transformative business outcomes as they search for a competitive edge.

The success stories are clear: Harnessing high volumes of data from diverse sources helps organizations — from media to financial services to telecommunications and more — innovate, cut costs and gain unparalleled insights through analytics.

Download your complimentary copy of “3 Challenges of Data Streaming Pipelines (and How to Overcome Them)” to learn:

• How capturing and processing data can help organizations gain visibility into customer sentiment, website behavior, operational issues and more.
• How to navigate the complexities of streaming systems by adopting a unified approach that seamlessly integrates streaming and batch processing pipelines.
• How practical strategies can help organizations efficiently handle streaming data by leveraging familiar tools, like SQL or Python, and strike the perfect balance between speed and affordability.

To compete successfully and respond to business challenges with data insights, organizations need to advance beyond the traditional division between transactional and analytical data. Tighter integration between online transaction processing (OLTP) systems and the data systems organizations have set up to support business intelligence (BI) reporting, analytics, and data science will enable organizations to improve customer experiences, move faster to adjust supply chains, and gain near-real-time insights into key issues such as fraudulent behavior. Getting to the next level with initiatives such as real-time customer personalization and cross-channel marketing depends on a seamless data flow between transactional and analytics systems.

This TDWI Checklist focuses on how organizations can gain advantage from unifying data on modern cloud data platforms.

The details you need to understand Snowflake costs

At Snowflake, we keep things simple with a consumption-based pricing model that allows customers to only pay for what they use. This approach gives customers flexibility and control to easily scale up and down to meet demand — all while gaining clear visibility into their usage and spend.

Download this guide to understand a range of Snowflake pricing elements, including:

• Optimized data storage and transfer
• Elastic compute
• Snowflake credits and virtual warehouse sizes
• Snowflake editions and purchasing options
• Pricing examples with sample bills

In 2024, telecom will be transformed by the current wave of new generative AI technologies. In this report, our in-house experts share their predictions about the impact of AI and other developments on the industry.

Read the report to learn about our four most important industry predictions for the telecom industry in 2024:

• Data-for-all will drive operational advancements
• Data monetization will differentiate industry leaders from followers
• Gen AI will transform the telecom industry
• A robust data strategy will be key for business success

The impact of generative AI will have substantial impacts on how we work, live, communicate and entertain ourselves. We sat down with our in-house experts to hear their predictions about the impact generative AI (gen AI) and other developments will have on the advertising, media and entertainment industry in 2024.

Read the report to learn their top predictions about:

• How gen AI will transform the industry
• How changes in customer behavior will continue to disrupt content distribution
• How data privacy, regulation and IP protection will require new approaches
  by advertisers, agencies and media organizations
• A collaborative data strategy being necessary for AI-driven business success

Leveraging AI, ML and generative AI for personalization, segmentation, lead scoring and more

When it comes to better collaboration and personalization, increased productivity, and accelerated growth, future AI and ML marketing benefits are seemingly limitless, and valuable use cases for every stage of the marketing cycle are already available today.

Download the ebook to learn five ways you can use AI, generative AI and machine learning right now to boost your organization’s B2B marketing ROI:

• Segmentation: Precisely identify and group audiences to tailor campaigns and power faster, actionable audience insights
• Personalization: Apply AI and ML to your customer 360 to elevate marketing and advertising personalization
• Lead scoring: Leverage ML algorithms to rank prospects and power automation with AI and ML for easy scoring and improved productivity
• Forecasting: Accurately predict and optimize the current pipeline in near-real time
• Attribution: Measure channel impact and achieve cutting-edge attribution

A Financial Services Executive Report

No other topic has captured the imagination of the financial services industry more than generative AI. This new era of computing is accelerating the need for companies across the industry to modernize their data strategy and harness the business value enabled by the cloud. 

To better understand the state of the industry, we surveyed more than 300 senior-level executives from the world’s leading financial services firms about how they are using cloud data platforms to evolve their data strategy.

In this report, you’ll learn:

• How industry leaders are prioritizing AI, data science and collaboration workloads in the cloud
• The role cost optimization and economic value play in these organizations’ cloud migration 
• The top reasons industry leaders have adopted or will adopt a multi-cloud strategy
• Where financial services organizations are prioritizing future investments