AI + Cloud Strategy

Craft and execute your future-ready strategy as you navigate the cloud journey in the Age of AI

Featured
White Paper: “Crafting your Future-Ready Enterprise AI Strategy, e2”
White Paper: “Crafting your Future-Ready Enterprise AI Strategy, e2”

It has become obvious how difficult so many organizations are finding it to actually craft and execute their AI strategy, in part because of the (often) decades they’ve spent kicking their proverbial data can down the road, in part because it turns out that enterprise-grade AI really does require the adoption of ecosystem-oriented architecture to truly scale, but largely because many organizations have no idea where to start. Many lack the wherewithal to really assess where they stand on day one, and to identify areas where they must mature to get to day 100 (and beyond).

We’ve learned a great deal about maturity and readiness for - and responsibility to the ethics of - AI over the past year, as well. It’s now time to broaden the thesis, so in this second edition we offer a model through which organizations may realistically assess their current maturity to adopt and scale artificial intelligence, and then identify specific areas to invest time, talent, and funding along their journey.

Read More →
White Paper: “Scaling your Enterprise Cloud with Power Platform”
White Paper: “Scaling your Enterprise Cloud with Power Platform”

Power Platform has been woven into the fabric of enterprise IT for far longer than most people realize, and, as such, is often the backbone of mission-critical “Tier 1” workloads. This white paper is the technology leaders’ guide to strategic Power Platform in a modern cloud ecosystem, diving deep on some of the most important methods of scaling your entire enterprise cloud—data, AI, applications included—with Power Platform: Using Power Platform with your enterprise data, lowering your long-term costs, securing and governing your data to reduce risk, infusing AI into daily work, then scaling AI across your org, and scaling your cloud and other tech investments with specialized capabilities.

Read More →

Accelerate your strategy and execution with Cloud Lighthouse

Crafting, executing, and making smart investments in a scalable cloud strategy can challenge even the most innovative organizations. Cloud Lighthouse helps IT and business leaders become strategic leaders for the Age of AI, to craft your Cloud + AI strategy, then execute and scale it across your organization. Partner with us.

✔ Build and execute your Cloud + AI strategy

✔ Adopt ecosystem-oriented architecture

✔ Firm, fixed costs for our work together

✔ Deep, executive-level expertise

✔ No consultants or development team to sell you

  • Inspiration and co-Design workshops jump start our Cloud and AI strategy as we build the executive vision, ecosystem-oriented architecture, and actionable roadmap for your cloud journey.

  • Collaboration with the CXO or other executive leader(s) builds their confidence and provides strategic guidance, understanding of technology trends, sets priorities, and keeps things moving.

  • Cloud Lighthouse builds and guides the internal team that executes the strategy and aligns action with vision, landing the tech in a way that grows the ecosystem and creates value for the organization.

  • Measure and demonstrate progress executing our roadmap, adjusting along the way to account for challenges, opportunities, and emerging technologies.

  • Nobody’s future proof, so we set aside time to be used however we need—on more complex unplanned activities coming out of our workshops, unknown variables that emerge, team coaching, issue resolution, and more.

Cloud Strategy

Untangling the web as we invest and build technology atop strategic foundations: Executive vision, high-impact workloads, and architecture for a modern cloud ecosystem that aligns technology investment with business outcomes 💡

[learn more]

AI Adoption

Leading organizations into the “Age of AI” with a strategy built upon five pillars: Data Consolidation and Readiness, Incremental and Differential AI, and Scaling AI across the enterprise (and it’s people). We actually wrote the book on this 😉

[learn more]

Ecosystem Architecture

Ecosystem-oriented architecture enables highly flexible, almost living and breathing cloud estates knit together across Azure, Fabric, Power Platform, M365, and third-party technologies. You cannot truly scale cloud or AI without it ⛰️

[learn more]

Listen to recent podcasts

Featured
Copilot to become the new UI of AI
Copilot to become the new UI of AI
Bot vs human: which will reign in consumer engagement?
Bot vs human: which will reign in consumer engagement?
The skeptical approach to security and AI
The skeptical approach to security and AI
Embracing responsible AI with chaos engineering and governance
Embracing responsible AI with chaos engineering and governance

Learn more from the Cloud Lighthouse blog

Featured
The "AI Strategy Framework" guides your organization's journey in the Age of AI
The "AI Strategy Framework" guides your organization's journey in the Age of AI

We’ve learned a great deal about maturity and readiness for - and responsibility to the ethics of - AI over the past year, as well. It’s now time for a proper model through which organizations may realistically assess their readiness to adopt and scale artificial intelligence, and then identify specific areas to invest time, talent, and funding along their journey. This AI Strategy Framework guides organizations as they construct their AI strategy atop five pillars, each with five dimensions to be considered, matured, and regularly evaluated.

Data Distribution in Power Platform
Data Distribution in Power Platform

When taking on the question of how Power Platform integrates with Azure data services, Point-to-Point, Data Consolidation, Master Data Node, and Data Distribution evolve a similar theme. Specifically, each focuses primarily on transactional data during any given users interaction with it. “Data Distribution” is different, focusing more on data distributed for analytics, enterprise search, integration with third-party or external sources via API, data science workloads, or training or augmenting a large language model (LLM). This blog overviews the Data Distribution pattern.

Five strategies to integrate Power Platform in your data platform architecture
Five strategies to integrate Power Platform in your data platform architecture

When comparing architectural models for Power Platform, it’s important to avoid the instinct to choose just one. Instead, the goal is to explore various approaches that enable different scenarios for integrating Power Platform solutions with enterprise data. Each organization should strategically mix and match these approaches, considering factors like performance, flexibility, maintainability, and cost. This strategy allows for creating adaptable patterns within a cloud ecosystem where Power Platform plays a key role.

How Power Platform scales generative AI across an organization
How Power Platform scales generative AI across an organization

Power Platform scales AI and the data platform by providing a composable means of both data collection and delivery of insights and AI capability back to the user. Meanwhile, the great, often unsung capability of Power Platform is not the “app”, rather the ability (via Dataverse) of data transacted in a Power Platform solution to hydrate downstream data distribution scenarios such as analytical workloads, enterprise search, and—you guessed it—whatever AI infused workload you dream up. Let’s explore this.

Connect via recent and upcoming events