Fresh Perspectives
Perspectives
What Physical AI Reveals About the Future of Software-Defined Vehicles
A transportation enforcement deployment demonstrates how intelligence operating directly on the vehicle can produce real-world outcomes and why the same architectural pattern is becoming increasingly relevant to software-defined vehicles.
Experience Architecture for AI
Digital products have become dramatically more powerful over the past two decades. Cloud platforms, design tools, and agile delivery models have enabled teams to ship features faster than ever before.
Agentic Commerce Is Here. Is Your Data?
Agentic commerce is changing how buyers discover products. See why product data quality is now the biggest competitive advantage.
The Future of Utility CX Is Predictive
Customer experience in utilities is shaped by how well billing, outage, and meter data are connected and how those signals are used before the customer reaches out.
The Next Test for Healthcare AI: Closing Access Gaps
Healthcare organizations are adopting AI quickly, but without intentional design, the tools meant to improve care could reinforce the same access gaps they aim to solve.
The Hidden ROI in Your Databricks Environment
For many organizations, the platform they bought is more capable than the way they're using it.
Health Systems Are Being Rebuilt from the Outside In
As care moves beyond hospitals and into connected ecosystems, health systems need data, AI, operating models, governance, and partnerships built for the next model of care.
Governing AI Across Industries, Part 2
AI agents don’t fail from bad models; they fail from misaligned context. Learn how governance, accuracy, and KPIs differ across industries at scale.
AI Across Industries, Part 1
This two-part AI Perspective series explores why generative AI agents must be designed, governed, and measured differently across industries, using financial services and health insurance as real-world contrasts.
The Full Value of AMI Data Is in Operationalization
AMI data starts as a signal within meter operations, but its value compounds as it moves across the organization. As that signal reaches each team, it transforms isolated data into enterprise-wide action.
The Agentic Front Office: How Sales Workflows Turn Marketing into a Growth Engine
When AI agents power sales workflows, marketing finally gains the visibility and momentum to drive continuous, real-time revenue growth.
Defining Your Brand in an Agentic World
Your customers aren’t choosing—they’re delegating decisions to AI, and if your systems can’t act in real time, your brand won’t be part of the outcome.
Inside the Customer Zero Build: What the Agentic Front Office Actually Takes
We didn’t start with a roadmap — we started with an honest audit that revealed why our sellers were stuck and what it truly takes to build an agentic front office.
AMI 2.0 Won’t Deliver ROI Until Utilities Fix Their Data
Utilities that aren’t seeing ROI on their AMI 1.0 investments may think they just need an upgrade to AMI 2.0. But the hardware isn’t the problem. It’s the data foundation.
AI Sanity Check: Ditching the Doom and Hype
AI isn’t the end of work or the start of utopia—it’s a messy middle moment that rewards clear thinking, active leadership, and a human-first approach.
AI Didn't Kill MDM. It Made It Mandatory.
AI didn't create your data problems. It made them impossible to ignore. Without trusted master data and governance, you're not automating intelligently — you're scaling what's already broken.
What AI-First Really Means
Organizations rushing to automate workflows are accidentally automating away the expertise that made those workflows valuable. Speed has a hidden cost.
AI is Rewriting Financial CX. Are You Ready?
Financial institutions don’t have a technology problem, they have an execution gap. AI is widening it, and the firms that act now will own the next decade of customer loyalty and growth.
AI Concierge: A Better Path for Healthcare
The future of AI in healthcare isn’t about faster “no,” it’s about smarter “here’s what you need,” and the data shows that denial-driven systems are already breaking under their own weight.
3 Ways Insurers Can Lead in the Age of AI
Every insurer is deploying AI, but only those who fundamentally redesign underwriting, claims, and distribution around intent, data quality, and embedded moments will win on margins.
The Personalization Gap in Finance
Financial institutions invested in personalization platforms. They forgot to redesign the operating model that would make them work.
The SDV Race: Are You Building for Buyers?
The software-defined vehicle race isn't about who builds the most advanced platform. It's about who earns permission to put it in the driveway.
Manufacturing CX Has a Data Problem
Modern B2B buyers expect B2C grade clarity and accuracy, but manufacturers are trying to deliver it on top of systems that were never integrated. The real work isn’t UX. It’s data plumbing.
The Collaboration Edge for Health Insurers
Payers assumed proprietary platforms would create competitive moats. They're discovering those same silos are drowning member experience and Star Ratings.
How FSC Solves Financial Services Barriers
Financial institutions are hitting the same wall, fragmented data, legacy stacks, and an AI execution gap, and the firms that fix the data layer and embed governed AI in the workflow will win retention and share.
3 Leadership Shifts for the AI Era
The mental models that made leaders successful are now the ceiling preventing their organizations from seeing what AI makes possible.
Real Forces Reshaping Wealth
The race in wealth management isn't who deploys AI fastest. It's who keeps the advisor in control while the technology scales.
Inside the AI-Driven Medical Device Lifecycle
The FDA is moving at Silicon Valley speed while consumer trust in AI health devices hits multi-year lows. MedTech's response can't be faster launches. It has to be better architecture.
3 Game-Changing Insights on AI & Digital
Most organizations are still planning their AI strategy. The competitive advantage belongs to the ones who stopped planning and started learning.
AI That Accelerates MedTech Innovation
AI is no longer a futuristic add‑on in MedTech. It is a practical accelerator across documentation, testing, and development, and the companies that operationalize it first will shape the next wave of regulatory‑safe innovation.
Content Compliance Without the Chaos
Financial services firms treat content compliance as a cost center. The ones turning it into competitive advantage are rewriting the rules of go-to-market speed.
Financial Services Is Changing Fast. Here’s How to Stay Ahead.
Simultaneous shocks are hitting financial services: rates and housing affordability, investor demographics, and AI operating model pressure. The firms that standardize on a single customer truth and governed AI will win the next cycle.
5 Trends Shaping MedTech Experience
Most MedTech companies can build AI-enabled devices. Few have built the infrastructure to operationalize trust, compliance, and connectivity at scale.
Adobe & AI for Manufacturing Marketers
Manufacturing buyers are moving faster, expecting more, and trusting less, and the brands that win will be the ones that use AI to deliver clarity, confidence, and value in every interaction.
Connected Products: What Users Want Next
The next era of connected products is less about hardware and more about intelligence, interoperability, and trust, and users are signaling exactly where manufacturers need to focus.
The Future of Shopping Is Conversational
Ecommerce taught customers to navigate catalogs. Conversational Commerce teaches systems to understand intent. That shift changes who does the work.
5 Insights on the Future of Finance
Finance is drifting from institutions to ecosystems, and the real disruption ahead is not technology but the shift in who owns the customer, the data, and the definition of money itself.
Building a Healthcare Analytics ACoE
The bottleneck in healthcare AI isn't computational power or clinical data volume. It's the absence of an operating model that bridges both.
6 Payment Trends Defining 2026
Payments infrastructure is accelerating faster than trust frameworks can scale. The gap determines who leads and who gets regulated into irrelevance.
Strategy That Thrives in Uncertainty
The riskiest moment to reinvent your advantage is when your competition is struggling. The safest moment is when you're winning. Most executives have this backwards.
Improve Healthcare Quality With Data & AI
The competitive advantage in clinical AI isn't model sophistication. It's whether your data governance can keep up with your ambition.
The New Rules of MarTech
Marketing leaders are building technology stacks that change faster than their teams can learn them. The gap isn't closing. It's accelerating.
3 Digital Payment Strategies Shaping the Future
The future of payments isn’t about adding more features. It’s about orchestrating experiences that feel invisible to consumers, compliant to regulators, and intelligent to businesses.
When AI Becomes Your Creative Director
Marketing spent decades earning a seat at the strategy table. Generative AI is making them the source of truth for the entire business. Most C-suites haven't caught up.
Intelligent Automation for Modern Healthcare
Healthcare is automating tasks when it should be reimagining workflows. That's the difference between efficiency gains and operational transformation.
AI Budgets Up. Readiness Still Lags.
AI budgets soared. Data quality didn't. Organizations are funding scale before they've fixed the foundation. That sequencing error compounds.
Shift FinOps from Cost to Value
FinOps is maturing from asking "What did we spend?" to "What did we earn?" The organizations making that shift are redefining margin management.
How Agents are Transforming Design Workflows
As AI agents gain autonomy, the real transformation isn’t faster production but the move toward design systems that assemble, respond, and act in real time.
Why Your AI Strategy Needs Better Questions
Data science matured into an enterprise discipline. Question science didn't. That asymmetry is why most AI programs underdeliver.