Cornerstone Data Systems Inc.

10/13/2026

Generative AI use cases vary across different industries. When evaluating potential returns, it helps to explore examples of AI success in your line of business.

The eBook, "Maximize the business value of generative AI," highlights common generative AI use cases across healthcare, financial services, manufacturing, education, and media on AWS. Download your complimentary copy for relevant examples of how GenAI is benefitting organizations with challenges and priorities that are similar to yours. 💡 -web-services

Where does generative AI create the most value in your industry? The eBook, "Maximize the business value of generative AI," highlights common use cases across healthcare, financial services, manufacturing, education, and media, showing how AWS supports each. For practical examples you can bring to y...

10/12/2026

When Robinhood needed to scale agentic AI in a highly regulated sector, it chose Amazon Bedrock for training, inference, and data suite management to power its AI-first platform.

The move helps the company reach 5 billion tokens daily, reduce development time by up to two-thirds, and cut AI costs by 80%.

Read the story for ideas on how you can use Amazon Bedrock to support similar goals. 💡 -web-services

How does an AI-first financial platform scale agentic AI without compromising security or cost control? This customer story video shows how Robinhood uses Amazon Bedrock for training, inference, and data suite management to reach 5 billion tokens daily, reduce development time by up to two-thirds, a...

10/12/2026

The AI race is increasingly becoming an ex*****on race. Giving employees access to AI is one thing. Embedding it into workflows in ways that measurably improve performance is another.
MarketScale's "Top AI users are pulling 8.3x ahead, and GPU budgets are spreading everywhere" reports that the top 10% of enterprise AI adopters are generating 8.3 times more output per active user than typical firms. The article explores why workflow pe*******on, data foundations, coordination, and effective use of increasingly shared GPU resources may help explain the widening gap.

AI adoption is widespread, but business impact remains uneven. MarketScale explores the widening performance gap between leading AI adopters and their peers, highlighting the importance of workflow design, data readiness, training, coordination, and infrastructure utilization. Connect with Cornersto...

10/12/2026

As AI spreads across cloud, edge, applications, and devices, infrastructure has a new job: coordinating not just applications and data, but models, agents, workloads, and decisions.
Deloitte's "The next tech infrastructure advantage is intelligence orchestration" explores the concept of an enterprise control plane that can govern how intelligence operates across distributed systems, including model selection, workload routing, identity, cost, latency, security, and regulatory requirements.

Read the article ➡️

Enterprise infrastructure is evolving from supporting applications to coordinating increasingly distributed AI. Deloitte explores how an intelligent control plane could orchestrate models, agents, workloads, identity, governance, and security across cloud and edge environments. Connect with Cornerst...

10/05/2026

Adopting generative AI raises real questions about security, privacy, and compliance.

The eBook, "Answering your top 4 questions about generative AI security," walks through how to protect your workloads and data, address compliance concerns, and start from a secure foundation.

For practical strategies to adopt AI simply and securely, download the eBook by filling out the form. 🔐 -web-services

Generative AI offers powerful opportunities, but security, privacy, and compliance remain top concerns. The AWS eBook "Answering your top 4 questions about generative AI security" provides a clear framework to help organizations adopt AI quickly while protecting data and managing risk. Learn how to....

10/05/2026

Scaling AI across regions can introduce latency, cost, and security challenges. 🌍

When Cisco needed to deliver AI features with wide regional availability and low latency, it turned to Amazon Bedrock for easy access to cutting-edge models from multiple providers and global scalability.

The move helps Cisco scale AI features efficiently and securely while upholding its commitment to responsible, fair, and transparent AI.

Read the story for ideas on how you can use Amazon Bedrock to support similar goals. 🌐 -web-services

Scaling AI across regions while maintaining performance and security can be challenging. This video shows how Cisco uses Amazon Bedrock to access multiple models, scale efficiently, and support responsible AI practices. Watch the video to learn how you can scale AI with greater efficiency and contro...

09/29/2026

Cloud decisions are no longer just about where apps run. This CIOReview article breaks down how AI workloads, multi-cloud architectures, edge computing, zero-trust security, and FinOps are changing cloud infrastructure strategy. Read it and contact Cornerstone Data Systems, INC to explore how to adapt your environment with better flexibility, governance, and cost control.

Explore how AI, multi-cloud, edge computing, zero-trust security, sustainability, and FinOps are reshaping cloud infrastructure strategy, then contact Cornerstone Data Systems, INC to discuss what this means for your roadmap.

09/28/2026

Most teams are using AI to go faster, but only a few see real business returns. This article breaks down the AI Fragmentation Tax and shows how leading companies use shared context, redesigned workflows, and culture change to coordinate through AI, not around it. Share this with leaders who are investing in tools but not seeing ROI, then contact Cornerstone Data Systems, INC to explore how you can help them build a practical Human-AI playbook and align their teams around the same goals.

Explore why AI is speeding up individuals but not teams, and how to cut your AI Fragmentation Tax with better context, workflows, and culture. Share this with your network and contact Cornerstone Data Systems, INC to discuss how you can help customers turn AI into a true team catalyst.

09/28/2026

The best foundation model shifts with your task, domain, and data, which makes that first choice harder than it looks.

This video shows how Model Evaluation in Amazon Bedrock simplifies the way you access, compare, and select large language models and foundation models.

Watch it to see how Cornerstone Data Systems, INC can help you match the right model to every task. 🔍 -web-services

Choosing the right AI model can impact performance, cost, and speed to value. This video shows how Model Evaluation in Amazon Bedrock helps you compare foundation models and select the best fit for your use case. Watch the video to see how you can assess performance across tasks and make informed de...

09/28/2026

Choosing an AI model used to mean weeks of vendor negotiations, separate API integrations, and repeated security reviews.

Amazon Bedrock changes that, offering one API for leading foundation models, serverless access, and built-in security that keeps your data in your AWS environment.

Message us to explore how Cornerstone Data Systems, INC can help you consolidate fragmented model access onto Amazon Bedrock. 🔄 -web-services