A rapidly scaling biotech company partnered with ConsultNet to overhaul its customer relationship management (CRM) system and improve the efficiency and accuracy of scientific communications. Manual content creation and customer support workflows were slowing operations and impacting scalability. To address this, ConsultNet delivered a tailored, AI-powered CRM solution using HubSpot’s advanced tools and custom-built scientific content models.
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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.
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.
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.
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 rapid digitization of the workplace has exposed a significant skills gap, leaving many organizations struggling to find employees with the necessary technical expertise to thrive in the digital age. To tackle this challenge head-on, businesses must prioritize upskilling and reskilling their existing workforce.
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.