Build or Buy AI? How to Make the Right Call for Your Enterprise

Deciding whether to build or buy AI depends on control, cost, data sensitivity, and long-term differentiation. AI is now embedded in enterprise workflows—from document processing to customer support to internal search. But as adoption deepens, so does the pressure to decide: should you build your own AI or buy from a vendor? This isn’t a … Read more

Top 7 Challenges That Break ROI When Building Your Own AI—and How to Solve Them

Experimenting with custom AI models can unlock differentiation, but seven hidden challenges often derail ROI before deployment. Enterprise interest in building proprietary AI models is surging. The appeal is clear: tailored capabilities, tighter data control, and the potential to differentiate in ways off-the-shelf tools can’t. But experimentation is not the same as production—and most initiatives … Read more

A Practical Guide to Experimenting with Building Your Own Enterprise AI

Build internal AI capabilities with a step-by-step approach that balances control, cost, and business relevance. Enterprise AI adoption is accelerating, but most deployments still rely on generic tools that don’t reflect your data, workflows, or priorities. That limits ROI. Building your own AI—whether through fine-tuning, retrieval-augmented generation (RAG), or lightweight model development—offers a path to … Read more

Why Large Enterprises Should Experiment with Building Their Own AI

Enterprise AI experimentation unlocks control, differentiation, and long-term ROI across data-rich environments. AI adoption is no longer a differentiator—it’s a baseline. But most enterprise deployments still rely on off-the-shelf models that weren’t trained on your data, don’t reflect your workflows, and can’t evolve with your business. That’s a problem. Experimenting with building your own AI—whether … Read more

Cloud Exit Strategies: Preparing for Vendor Lock-In Before It’s Too Late

How to reduce switching costs, preserve leverage, and maintain control in cloud-dependent environments. Enterprise cloud adoption has accelerated past the point of experimentation. Most large organizations now run critical workloads on hyperscale platforms. But as cloud maturity deepens, so does the risk of vendor lock-in—especially when exit planning is deferred or dismissed. The issue isn’t … Read more

How To Fix Slow, Siloed Enterprise Decision-Making

Accelerate enterprise decision-making by removing silos, aligning data, and embedding clarity into workflows. Enterprise decision-making is under pressure. The volume of data has grown, but clarity hasn’t. Teams are flooded with dashboards, reports, and alerts—yet decisions still stall. The root issue isn’t lack of information. It’s fragmentation: of systems, incentives, and context. When decisions are … Read more

How To Manage Multi-Cloud and Hybrid IT Complexity Without Losing Visibility or Control

Learn how to reduce fragmentation, improve governance, and drive ROI across hybrid and multi-cloud environments. Enterprise IT is no longer centralized. Workloads span public clouds, private infrastructure, edge locations, and SaaS platforms. This shift has unlocked flexibility—but introduced fragmentation, cost opacity, and governance gaps that most organizations struggle to contain. The issue isn’t cloud adoption. … Read more

How To Operationalize AI at Scale Without Losing Control

Learn how to deploy enterprise AI at scale with clarity, governance, and measurable ROI across business units. AI is no longer a pilot project. It’s embedded in workflows, powering decisions, and reshaping how enterprises deliver value. But scaling AI across a large organization introduces complexity that most teams underestimate—especially when use cases multiply faster than … Read more

How To Solve Cybersecurity and Compliance Challenges in Hybrid and Remote Work Environments

Enterprise IT leaders are rethinking cybersecurity and compliance to reduce exposure across hybrid and remote workforces. Hybrid and remote work have permanently reshaped enterprise infrastructure. The shift from centralized networks to distributed endpoints introduces new exposure points, governance gaps, and audit complexity. Legacy controls built for on-prem environments struggle to keep pace with the fluidity … Read more

How to Solve Fragmented and Siloed Data Integration Across the Enterprise

Enterprise IT leaders are tackling fragmented data integration to reduce risk, improve decision velocity, and unlock scalable value. Fragmented data integration is one of the most persistent blockers to enterprise agility. As systems multiply and business units digitize independently, data becomes scattered across incompatible platforms, formats, and governance models. The result is not just inefficiency—it’s … Read more