Lantern

We’re #hiring in Toronto. ✅ You've been around and look for what's next? ✅ You are familiar with the MSFT ecosystem? ✅ You are well-versed in Data & AI? ✅ You love solving problems for customers? ✅ You want an opportunity in a scale-up environment and are an entrepreneur at heart? ✅ You are a natural leader, with high EQ, and energy? 👉 Let's chat. #DigitalTransformation #TorontoJobs #BusinessDevelopment #AI #Data Microsoft Lantern

Lantern is proud to welcome our two newest Edmonton team members, Hunter Stewart and Martin Mullappallil Johney! About Hunter: Hunter brings experience in AI training, IT consulting, and business analysis, with an interest in both artificial intelligence and client-focused consulting. He’s excited to help clients solve challenges and deliver meaningful outcomes using Microsoft technologies. Outside of work, Hunter enjoys playing volleyball, watching the Oilers and traveling. About Martin: Martin brings a robust background in software engineering and full-stack development. He has a proven track record of working within Agile teams to deliver new features, has hands-on experience with DevOps, and is also Microsoft certified with an Azure Fundamentals Certification. Outside of work, Martin is an avid traveler who enjoys all things outdoors, particularly mountain biking and skiing. He enjoys picking up a new sport every year, so he has no shortage of hobbies. Personal Mantra: The important thing is not to stop questioning. Curiosity has its own reason for existing.

There are few industries undergoing greater disruption in the Era of AI than the one I've spent my whole career in: Consulting. So why are some consulting companies growing while others are shrinking? Three reasons for this dichotomy:   1) Some companies are still advising while others are doing. The pace of innovation is scorching and the pressure to do more with less is everywhere. This isn't a convenient time for long-running strategy engagements or 6-month assessments. Consultancies that weave together business experience, technical acumen, and AI-powered delivery methods to innovate at pace on behalf of their clients will continue to rise in the days ahead. 2) Some companies are following the sun while others are getting the job done before sunset. Many large consultancies are overleveraged with enormous delivery centers around the globe, while other, time-zone friendly firms are doing a better job reading the room because, well... they're in the room. Some transformational projects are still ideal for the offshore delivery model -- just not the ones that require active stakeholder involvement during standard business hours. Business People don't get on the phone at 10:30PM for project status updates, and make no mistake, the business has absolutely taken its seat at the table in the #EraOfAI. 3) Some consultancies are naval-gazing while others are out in the market listening to and learning alongside their clients. No doubt AI is massively disruptive for businesses in all industries, but the death knell for any customer service business is inward focus and self-absorption. When I read articles like this one about McKinsey & Co. and hear from distracted friends in large firms about all the reorgs and layoff concerns, I feel blessed to be at a consulting firm that can simply focus on helping its clients harness the strength of AI to empower its people and win market share. Lantern #InspiredTeams #DigitalLeadership #InnovationVelocity https://lnkd.in/e4f-n5sC

When AI strategists and implementation teams seem to speak different languages, it often comes down to one fundamental concept: how we think about automation. Your technical teams have years of experience building reliable, predictable systems—and that expertise is incredibly valuable. The challenge isn't resistance to change; it's bridging two different approaches to problem-solving. In this clip, David Jitendranath explains the key distinction between traditional deterministic workflows and AI's non-deterministic approach—and why both have their place in your organization. Understanding this difference will help you have more productive conversations with your implementation teams and identify the right use cases where AI's adaptive nature truly shines. Perfect for AI strategists looking to build stronger alignment with their technical teams.

LLMs can’t deliver value if your data is still out of reach. Until recently, querying enterprise-scale data with AI required custom engineering and brittle frameworks. With Microsoft Fabric Data Agents, that barrier is disappearing. In this month’s newsletter, we explore: ◻️How Fabric Data Agents simplify data access ◻️Common use cases ◻️How Fabric Data Agents and Copilot for Fabric work together 📰 Read the full newsletter → https://loom.ly/IOlp4-s

The #1 Challenge in Healthcare Isn’t Technology. It’s People. Clinician burnout and staffing shortages have become the defining crisis of healthcare in 2025. Providers are stretched thin, spending nearly 2 hours on administrative work for every hour with patients—a formula that’s unsustainable for both people and organizations. At Lantern, we help health systems turn data and AI into tools that give time back to clinicians. Using Microsoft Copilot and advanced analytics, we: 1. Automate documentation and reporting to reduce clerical burden. 2. Surface insights from EHRs and claims in seconds, not hours, to inform decisions faster. 3. Build role-specific copilots that streamline workflows without adding complexity. Because solving burnout isn’t about working harder—it’s about working smarter. How is your organization approaching workforce sustainability? #HealthcareInnovation #AI #MicrosoftCopilot #Burnout #WorkforceTransformation

AI can’t deliver value if your data is trapped. Most organizations store 70–90% of their data in unstructured formats, which makes it difficult to access, integrate, or learn from. In this Lantern Minute, PTS Jeff Johnston breaks down how RAG (retrieval augmented generation) unlocks that hidden value without the need for a centralized data platform.

We’re excited to welcome Quinn Britt to the Lantern team in Denver, Colorado! With a background in engineering, Quinn brings an analytical mindset balanced by strong communication skills. His experience in intensive learning environments and stakeholder engagement positions him to contribute with thoughtfulness and excellence. Outside of work, Quinn enjoys spending time with family and friends, serving in mentorship and educational roles at his church, and taking road trips to national parks. He's passionate about both personal and professional mentorship and committed to building up the next generation while continually growing himself.

Back by popular demand (thank you to our LinkedIn followers for your feedback), here's our Friday Finds - Microsoft focused content that we found of interest this week. Microsoft has released GitHub Spark - a new tool in Copilot that turns your ideas into full-stack apps, entirely in natural language. https://loom.ly/mp_N5r8 How can you control costs of #LLMs without sacrificing quality? Microsoft's #AzureAIFoundry model router is the answer. Azure OpenAI Principle Lead Sanjeev Japtap explains. https://loom.ly/6MlOMhU Microsoft has added 35 NEW custom agent scenarios across seven functional areas to the #CopilotStudio Scenario Library. https://loom.ly/cIoR04Q When deploying Copilot Agents, the conversation quickly centers on two key topics: Security & Governance, and Cost Controls. Microsoft's Bence Orban provides a valuable guide for Agent Cost Management in this post. https://loom.ly/qqXUino Real time note taking for in-person meetings with M365 Copilot is coming. Open the Teams app on your phone, place your phone on the table, and let Copilot capture and create your meeting notes. https://loom.ly/gpZUYf4 What's some valuable content you found this week?

If you're a dynamic leader who's passionate about AI, thrives when working with an amazing team of thought leaders, and wants to be involved in transformative projects with market-leading customers, check out this opportunity. https://lnkd.in/gzTrRHqs Key Responsibilities: ▪️Lead AI application development using Azure technologies. ▪️Collaborate with teams to design and deliver AI solutions. ▪️Stay updated with AI advancements. ▪️Mentor and guide team members. #lantern hashtag #hiring hashtag #ai hashtag #genai hashtag #denver hashtag #data hashtag #microsoft hashtag #apps hashtag #azure hashtag #transcendtheordinary hashtag #inspiredteams