Generative AI (GenAI) gives technology and service provider CEOs an unprecedented opportunity to become operationally lean. This emerging technology can augment and/or automate tasks, workflows and processes in functions such as software engineering, marketing, sales and general administration. Technology and service provider CEOs must establish a concerted approach to addressing this opportunity to guide their organizations toward autonomous...

When it comes to data modeling and analysis, a professional data science workstation is a world away from the standard PC. Today’s data scientists need the latest technology to work faster and smarter to maximize the extraordinary potential of machine learning. Join Government Technology and HP for a live webinar exploring how to equip data science teams with the technology they need to accelerate data analytics and machine learning. You...

Human + AI: Win With Boundless Experiences The future is upon us. The fusion of humans and AI will revolutionize how customers and businesses interact. The traditional customer lifecycle no longer holds true — it has collapsed into a set of boundless experiences. In this world of perpetual customer relationships moving at the speed of digital – empathy, trust, and emotion are essential. Only leaders who can integrate CX, digital,...

More than half of organizations abandon their AI and generative AI efforts due to cost-related missteps. Gartner estimates that less than 15% of organizations identify, quantify and measure costs, risks and value. Meanwhile, AI and GenAI spending is projected to continue unabated. Thus, the most pervasive and elusive challenge for every executive leader will be to effectively vet, prioritize and fund the right initiatives at the right time to...

As the engine behind AI, data center networks play a critical role in interconnecting and maximizing Graphics Processing Unit (GPU) capabilities. Reducing job completion time (JCT)—the time it takes to complete each round of AI training—is key to faster training of AI models and, ultimately, cost savings. However, traditional data center technologies and designs fall short of the demanding performance and capacity requirements AI w...

From a constantly evolving threat landscape and expanding attack surface to a significant shortage of skilled professionals, many security teams face serious challenges. Today’s cybersecurity threats are more sophisticated and pervasive, and threat actors typically have plenty of time to achieve their objectives, particularly now with AI-driven tools at their disposal. With AI, threat actors have another “easy” button for car...

With rapid technological advancements, the demand for IT talent continues to outpace supply. According to the Gartner 2024 CIO Talent Planning Survey, 79% of responding organizations plan to increase their IT staff levels in 2024. Despite waves of layoffs from the tech sector, it remains difficult to hire qualified talent with high-in-demand skills such as GenAI, AI, machine learning and cybersecurity. These skills gaps threaten organizations...

This demo explores how capabilities from GenerativeAI in connect with ServiceNow's Service Operations Workspace will empower our customers to accelerate productivity and efficiency. We will cover the already existing AI / ML capabilities that lay the groundwork for Generative AI and how future releases of the ServiceNow Platform will support GenAI, with a trustworthy human-centric approach.

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly changing the way records managers track the data they have, from where it is located to who can access it to what information it contains. These technologies are also changing how agencies meet compliance requirements. In this virtual workshop, we break down these concepts and show the potential benefits to your agency. You will leave with a better understanding of how AI/ML ca...

Explore real-life case studies of successful AI adoption in IT service and support. This session will highlight various organizations' experiences, focusing on challenges faced, strategies employed, and the outcomes achieved. Attendees Will Learn: Insights from real-world AI adoption case studies. Strategies and challenges in implementing AI solutions. Proven ROI, cost, quality, and cycle time benefits of AI.