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
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
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
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.
RAG and the fundamentals of AI acting on enterprise data
CIOs and enterprise architects need not be experts in the technical mechanics of AI to formulate and execute an effective AI strategy. That said, it is critical that leaders driving their AI strategy understand this basic concept of how institutional AI—that is to say, AI workloads specific to your organization—both requires and acts on enterprise data. This approach is what we call “Retrieval Augmented Generation” or “RAG”, which you may have heard of. The name is quite literal: Here we are augmenting the generative pre-trained (and now you know what “GPT” stands for) model with data that we have retrieved from the organization’s data estate.
Building future-ready cloud ecosystems for the age of AI
Discussing AI in recent months I have often thought about the fable of the boiled frog, whereby a frog placed in boiling water jumps out, but a frog placed in warm water that is gradually heated lacks awareness of his impending demise until it is too late. Or, as I continue to remind the CIOs with whom I work closely, the grace period for organizations to get their act together and position themselves for the next wave is growing much shorter, the margin for error much more narrow.
Understanding cloud ecosystem value and architecture via a “strategic pyramid”
Let’s consider a model for how organizations should be prioritizing their work and investments in the Microsoft Cloud. The imperative here could not be greater. Technological advancements are now moving on timelines that in some instances can be measured in weeks. Not months. Not years. But weeks. This both accelerates and is accelerated by the shift to system-based value. In other words, getting the platform ecosystem right in an organization is both necessary to creating the greatest likelihood that the organization can absorb rapid innovation, whilst simultaneously creating the conditions that drive that rapid innovation forward. But too many organizations have misallocated their focus up and down the value chain, prioritizing workload implementation either at the expense of or out of ignorance to architecting strategic foundations, building the platform ecosystem, and creating the conditions for success. That’s a bit esoteric, so let’s visualize this phenomenon as the “strategic pyramid”…
Strategic thinking for the Microsoft Cloud
I have come to understand strategic thinking as more art than science. Strategy is surely informed in part by data, but I find that our society in general and the technology industry specifically too often confuse data and wisdom, that we foolishly (though understandably) seek heuristics or processes so that we can turn the art of strategic thinking into a game of color by numbers so simple that anyone can do it. When it comes to strategic thinking, better that we seek methods of framing our thoughts rather than shortcuts to the answers themselves. So in this piece I have sought to offer practical approaches to injecting strategy into your organization’s Cloud journey, indeed, a selection of the same approaches I take with my clients.
The “Tyranny of the Deliverable”, and other short stories about why you’re struggling to realize big value with Power Platform
Too many organizations are still struggling to go big with Power Platform not because of limitations in technology, but because of their own outmoded ways of doing business, though I know of no other move that IT decision makers in organizations across the economy and around the world can make that is likely to achieve results of this magnitude by—in effect—doing more with less. But the benefits of adoption are often dampened by three big, non-technical reasons that I see so many organizations failing or underperforming in their scaled, enterprise Power Platform adoption.
Reference Architecture for the “Landing Zone”, your indispensable foundation for scaling Power Platform
The Power Platform Landing Zone is the beginning of the path to overcoming these barriers. A foundation, if you will, the Landing Zone is the initial technical infrastructure plus governance of that infrastructure that allows an organization to begin “landing” workloads in Power Platform. With that in mind, a while back I set out to create a reference architecture for a Power Platform Landing Zone. In other words, if an organization were to build their Power Platform infrastructure properly, it would look a lot like this reference architecture.
A Common (project) Framework for Solution Development with Power Platform
Here we’ll lay out a common framework (which we’ll refer to as “C-Frame”) for managing Power Platform solution development. This approach is best suited for solutions that classify as important or critical according to the Environmental Architecture Model found in the Power Platform Adoption Framework. If you take nothing else away from this approach, let it be this: Solution development of important and critical workloads produces far better outcomes and is significantly easier to manage when your team has in its own way accounted for all of these project activities.
The Cloud Application Platform Era is a seismic, generational transition for cloud technology
We are experiencing a seismic, generational transition in the way that organizations buy, use, and enable their own success via technology. We’re now living in the Cloud Application Platform era, wherein organizations plan more strategically, make technical choices today that reduce the risk of being painted into a corner tomorrow, absorb new requirements rapidly, better fix costs across their ecosystem, and buy down the risk of unknown future needs. That’s what the Cloud Application Platform is all about.
Assessing the maturity of your Power Platform enterprise management and governance
Organizations must continually mature their Power Platform enterprise management in order to unlock the platform’s value as a first-class cloud application platform and scale it over time. The Enterprise Management Maturity Model is the common standard that can be applied across the platform (and extended across the Microsoft Cloud as well) so that we may assess the maturity of enterprise management and governance, evaluate where an organization has made progress and remains less mature, and identify both organizational risk and opportunities to generate new business value.
One Thousand Workloads: How your Roadmap maximizes Power Platform investment
The workload Roadmap is an indispensable part of an organization's ongoing Power Platform adoption. It is a prioritized backlog of workloads that are candidates for migration to or new solution builds on the platform. It allows the organization to project the technology's business value over time, and is the core driver of return on investment in the platform. Here I’ll share the strategy for working directly with business owners, users, and IT to identify, prioritize, and categorize candidate workloads and to create a roadmap for building those workloads on the platform.
Power Platform in a Modern Data Platform Architecture
I’ve been thinking quite a bit lately about Power Platform as one of the three principal components of the one Microsoft Cloud, alongside Azure and Microsoft 365 of course. This is particularly important in more complex data ecosystem, one of the enterprise management dimensions you’ll find in the Power Platform Adoption Framework. So I want to expand on the “data ecosystem” concept with the idea that modern data platform architecture is a wheel or a cycle (rather than a linear flow), particularly when Power Platform solutions are leveraged (and they should be).
Reflecting on Microsoft Ignite 2020: Five big strategic takeaways for Business Applications
This is the year that low-code cloud transformation goes mainstream. With that I’ll also share my top five reflections on Ignite from a cloud strategy perspective. Joe Griffin has got a great top five at a more detailed feature-by-feature level on his CRM Chap blog, and I also recommend you give a listen to Lisa Crosby’s and Megan Walker’s “Microsoft Ignite Session Recommendations“ on The Up Podcast (which, incidentally, needs to be part of your regular listening).
Seeking your contributions to what’s next for the Power Platform Adoption Framework
Lee Baker, Lucy Bourne, Manuela Pichler, Keith Whatling, and I recently put together seven major themes that we plan to address in the framework over the next six(ish) months. We’d like to share them with the community and ask for your contributions. Each of the themes listed below direct links to their milestone page on GitHub, where you can contribute your ideas, thoughts, approaches, etc. by creating new “issues”. You can also join us in open discussion of all our open issues at this link.
Four things to know and five things to do following the big Microsoft Dataflex + Teams announcement
Today’s public announcement of new Microsoft Dataflex and the re-branding of the former “Common Data Service” (CDS) as Microsoft Dataflex Pro is one of—if not the—most profound Microsoft product evolutions of 2020. There will be significant discussion and work on this in the weeks and months ahead, but for now I’d like to help folks contextualize this new development by asking two questions: What should I be thinking big picture with the launch of Microsoft Dataflex, and what should I do next to make sure my organization is ready?
A love letter to my team, Microsoft Partner of the Year for Power Apps and Power Automate
I am beyond excited to share that Applied Information Sciences (AIS) has been recognized as the Microsoft worldwide Partner of the Year for Power Apps and Power Automate. Permit me a brief love letter to my team… Emily Cartner is our solution architect who led the team behind a lot of what made this award possible. The rest of the group, too: Whether in India, Europe, or the United States, this business applications team is the world’s best. I am so grateful that these brilliant people (current and future) all choose to direct their talent and passion in the direction of our—and our clients’—collective success.
Sharing the Power Platform Adoption Framework's second edition
Today we’re releasing the second edition of the Power Platform Adoption Framework. We're introducing some new ideas—and new ways of thinking about existing concepts—as we enter the Power Platform Adoption Framework's second year. As a "framework", we're committed to broadly applicable best practices for adoption at scale, not to being a technical manual.