Cloud costs are attracting unprecedented board-level scrutiny. Overruns slow innovation, undermine profitability, and introduce uncertainty into strategic planning. In my experience, the challenge is rarely just about the technology.
ConsultNet Blog
When one of the nation’s largest and most respected credit unions recognized that inconsistent data governance was slowing decision-making and impacting cross-functional collaboration, they launched an ambitious enterprise-wide Data Quality Program.
Everyone wants generative AI, but most organizations can’t even access the right data. The data isn’t ready. It’s scattered across silos, inconsistent in format, missing key fields, or owned by teams who can’t even agree on definitions.
AI is changing the game. Not by replacing people outright, but by transforming how teams operate, what skill sets you need, and how you should approach hiring.
Across aerospace, defense, and advanced manufacturing, organizations like Daifuku, BAE Systems, Boeing, and Parker Aerospace operate in environments where precision, compliance, and scalability are critical.
When a nationally recognized online university set out to modernize its cloud ecosystem, leadership knew it wasn’t enough to just migrate systems. Long-term success would require stronger governance, smarter operational processes, and true resiliency across its distributed architecture.
In today’s highly competitive market for IT talent, simply filling open positions is no longer sufficient. The tech industry, rich with opportunities, makes it easy for top talent to find new roles if their current employer isn’t actively investing in retention efforts. This reality emphasizes the need for companies to go beyond recruitment, focusing instead on creating an environment where employees feel valued and motivated to stay.
A Fortune 500 media company partnered with us to drive a large-scale AI transformation aimed at optimizing advertising revenue and streamlining programming rights operations. Facing complex challenges across multiple divisions, the client needed a secure, scalable solution aligned with industry standards. Through a strategic, phased approach—from ideation and business case development to system integration, training, and governance—we delivered an end-to-end AI implementation.
A leading B2B eCommerce company partnered with ConsultNet to overcome major challenges in product search and discovery, particularly for technical buyers with complex needs. Their legacy search platform struggled to deliver relevant results, lacked personalization, and couldn’t keep pace with increasingly detailed product specifications. To solve this, we engineered an AI-driven discovery solution that combined Microsoft Azure Cognitive Search, Elasticsearch Enterprise, and custom machine learning models. The result was a smarter, faster, and more intuitive search experience that significantly improved customer engagement and laid the groundwork for scalable growth.
In the ever-evolving business landscape, accessing the right talent is pivotal to achieving success. Whether it’s about nurturing internal expertise, tapping into external resources, or acquiring specialized skills, the approach you take in acquiring talent can significantly impact your organization’s trajectory. In this comprehensive guide, we delve into the three primary strategies for acquiring talent: building, borrowing, and buying.