As environments grow more complex, traditional I&O teams can’t scale fast enough to keep up. But your infrastructure can. Traditional Infrastructure & Operations (I&O) teams are hitting a wall.
As environments grow more complex, traditional I&O teams can’t scale fast enough to keep up. But your infrastructure can. Traditional Infrastructure & Operations (I&O) teams are hitting a wall.
Rushed AI tools and standalone apps are failing at alarming rates—not because the technology isn’t advanced enough, but because they weren’t built collaboratively.
Artificial intelligence is no longer a future concern in hiring. It is here, shaping how resumes are written, how interviews unfold, and even how identities are presented. While these tools can make the hiring process faster and more efficient, they also introduce new risks that background screening must now address.
In this episode of Tech on Tap, host Justin Priest sits down with Duan Peng, Senior Vice President of Al, ML & Data Science at Southern Glazer’s Wine & Spirits. Duan takes us on a journey through her career, from building centralized global data & Al teams at Warner Bros. Discovery (HBO Max, discovery+, Max) to driving enterprise-wide transformation in the wine & spirits industry through Generative Al, ML platforms, and intelligent automation.
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.
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.