Analyst Perspectives

As established in my foundational perspective on AI Orchestration, the defining enterprise challenge is no longer model performance but the design of a control plane that governs multi-agent systems, tool access, policy enforcement, and cross-platform interoperability.

The software economy has reached its greatest inflection point since the dawn of the Internet. Enterprise software now operates across dynamic cloud environments, with release cycles accelerating to weekly or even daily in a continuous delivery model. Software providers have evolved into platform ecosystems, seamlessly integrating applications and data while unlocking new opportunities through...

There is a growing sense of confusion and uncertainty among buyers when it comes to pricing for customer experience (CX) and contact center technology. Pricing does become more complex when technology innovates, creating broader options for mixing and matching features or more choices of the types of platforms people can use. In this industry, conditions have changed so quickly that the array of...

As I previously described, context is everything for generative (GenAI) and agentic AI. Enterprises moved in large numbers to adopt foundational GenAI since its emergence into mainstream consciousness during 2023. As they did so, it quickly became clear that establishing trust in GenAI output would require enterprises to augment the realistic content generated by foundation models with real-world...

Healthcare is not simply digitizing. It is reaching a structural inflection point. Rising demand, workforce shortages, regulatory complexity, reimbursement pressure and expanding distributed care models are forcing providers, payers and life sciences organizations to rethink how care is delivered and financed. Enterprise software sits at the center of this transformation for modernization in a...

The mission to enable an autonomous enterprise, as I have articulated, remains aspirational for most organizations. Few have aligned business and technology leadership, strategy and execution to support autonomous operations at any scale. A shared definition is essential. An autonomous enterprise follows an operating model in which intelligent systems can sense conditions, decide actions, execute...

This year at ZohoDay 2026, the conversation did not center on product features, competitive positioning or even individual applications. Instead, it focused on a tension many CROs are already experiencing. Revenue leaders are being asked to deliver higher forecast confidence, manage margin pressure and incorporate AI into selling motions while simultaneously reducing operational complexity. The...

It’s clear that the buyer requirements for Contact-Center-as-a-Service (CCaaS) products have moved well beyond traditional notions of “cloud” or “omnichannel” and now focus on how well software providers can make artificial intelligence (AI) workflows real. The differentiation among CCaaS platforms is not so much about how well interactions are handled, but how the platforms embed within complex...

Data sovereignty is no longer a niche compliance concern. It is becoming a defining architectural constraint for enterprise cloud strategy. As regulatory scrutiny intensifies and geopolitical risk becomes harder to ignore, Sovereign Cloud has emerged as a practical mechanism for CIOs to retain control over sensitive data, maintain jurisdictional compliance and reduce exposure tied to cross-border...

For most enterprises, the problem with artificial intelligence (AI) today is not a lack of ambition. It is confusion. Organizations are overwhelmed by pilots, tools, providers and hype, and they lack a clear path to autonomy and measurable outcomes. The way forward is to cut through the noise and reframe AI not as technology experimentation with generative AI (GenAI) and agentic AI, but as a...

I have previously described the critical importance of context for enterprise adoption of generative artificial intelligence (GenAI) and agentic AI. Establishing trust in the content generated by GenAI is facilitated by grounding the models with real-world context from enterprise content and data, while AI agents designed to make context-aware decisions and take automated actions based on...

Let’s ground this conversation and cut through the misunderstood dialect about the impact of artificial intelligence (AI) on the software industry. AI is software and has been part of this category for more than several decades, and yes it has evolved into a new era of capability. Despite the noise from financial markets and headline pundits, the software industry is not being replaced by AI; it...

A great deal has changed in how finance and accounting departments operate since the start of the decade. Elevated levels of uncertainty and change, beginning with the pandemic, have forced departments to question and refine their processes and operating methods, which has led to using technology to improve agility and resilience. While these events instill a greater sense of urgency for...

There is a growing disconnect between what digital commerce platforms were originally built to do and what modern revenue teams now need them to deliver. Most traditional platforms were designed to manage storefronts, catalogs and transactions. They perform well when the goal is to display products, enforce static pricing and process payments. But in today’s revenue environment, the challenge is...

Since Alteryx was acquired by Clearlake Capital and Insight Partners in March 2024, the company has taken the opportunity to revamp its product portfolio and refresh its executive team. Alteryx has always offered a combination of functionality that spans the data and analytics lifecycle, including data integration, data preparation and data quality, as well as the development of analytics...

Contact center software is evolving faster than the companies that make it. The tools that operated centers remained very stable for decades and then in a very rapid period shifted away from voice and telephony towards digital interactions and broader forms of customer engagement. It’s been a natural, even expected, transition, given how the rest of the software universe has injected artificial...

The term “sovereign AI and data” became increasingly prevalent in recent years, initially driven by cloud infrastructure providers responding to the need to support regional regulations with sovereign cloud offerings. However, the use of sovereign cloud infrastructure is not required to deliver compliance with data sovereignty regulations. In fact, our research indicates that having the autonomy...

The concept of software components orchestrating across boundaries is not new—it has appeared in mainframe program libraries, Service-Oriented Architectures (SOA) and Enterprise Service Buses (ESBs). APIs became the next wave of this idea, powering cloud, mobile and software-as-a-service (SaaS) ecosystems.

It’s increasingly clear that, for software providers, focusing exclusively on contact center operations is a pathway to oblivion. Voice is no longer the organizing principle around which businesses structure their customer support—instead, we are fully in a world where automated self-service is the default and digital interactions are the norm. Enterprise buyers looking to modernize their contact...

Threat modeling software has emerged as a distinct security category focused on identifying and mitigating design-level risks early in the software development lifecycle (SDLC). Unlike vulnerability scanners or runtime security controls that surface issues after deployment, threat modeling tools operate upstream, enabling organizations to analyze system architectures before code is written or...