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.
ConsultNet Blog
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.
In this episode of Tech on Tap, we sit down with Paul Gulbin, Founder and CEO of Cambridge Transformation Partners, and bestselling author of The AI Alchemist. With decades of experience guiding startups and Fortune 500s through complex digital transformations, Paul shares insights on how to harness AI, machine learning, and operational excellence to unlock real business value.
Brad Owens is a recognized innovator in recruiting and staffing, known for disrupting traditional hiring methods with cutting-edge technology. With over a decade of experience leading firms and optimizing hiring processes, he has established himself as a thought leader through Forbes.com, high-profile speaking engagements, his podcast Transform Recruiting and his interactiveLinkedIn media. Passionate about redefining hiring through automation and AI, Brad has become a trusted expert in leveraging technology to drive real transformation.
The landscape of work in the tech industry has never been more complex or more hotly debated. Over the years that I have been in IT staffing and solutions, I’ve seen companies swing from rigid office-based structures to full-fledged remote teams, and now, many are trying to find a middle ground.
In this episode of Tech on Tap, we chat with Addie Monson Deinlein, a dynamic IT leader who has mastered the art of aligning technology with business strategy-all while building a career she truly loves. With over 15 years of experience, Addie has led global initiatives, managed multimillion-dollar budgets, and mentored the next generation of tech leaders.
On this episode of Tech On Tap, we sit down with Darrell Blocker, a seasoned national security expert and ABC News contributor. Darrell’s career spans nearly three decades at the CIA, where he held key roles, including Deputy Director of the Counterterrorism Center and Chief of the Africa Division. His distinguished service earned him the CIA’s Distinguished Career Intelligence Medal.
In this episode of Tech on Tap, we’re joined by Ann Madea, Chief Information Officer at Simmons Bank, a seasoned IT leader with global and community banking experience. From her early days as a programmer to her current role driving innovation as a CIO, Ann has led organizations through transformative change, risk mitigation, and cost reduction.
As we stride into 2025, it’s impossible to ignore a glaring imbalance in the artificial intelligence (AI) workforce. Currently, a staggering 71% of the AI workforce is male, leaving just 29% of these critical roles filled by women. This disparity doesn’t just reflect a diversity issue; it’s a missed opportunity to leverage diverse perspectives and talents in shaping the future of AI.