Organizations frequently cite information security as a top obstacle to the adoption of cloud computing, yet improved security is considered to be a top driver. How do leading organizations strengthen information security to make the path to cloud computing easier? This complimentary webinar explores the current and future state of cloud security across infrastructure, platform and software as a service (SaaS) offerings, including hybrid cloud...

Organizations that create a cloud strategy gain the most from their use of cloud computing. However, CIOs and vendor management leaders struggle with one question above all: How do we build a comprehensive cloud strategy? This complimentary IT webinar takes a "cookbook approach" to building a cloud strategy, a one-service-at-a-time method. We will look at cloud computing offerings on a spectrum; the cloud strategies of the megavendors, such as...

Cloud computing continues to be one of the most hyped and confusing terms in the history of IT, transcending the industry as it enters popular culture. The term “cloud” continues to be stretched and overused by a variety of vendors and users. In many cases, the true value is obscured or lost. This complimentary webinar provides context for much of the cloud hype and reality today, and offers guidance on how IT leaders can best leve...

By 2025, cloud computing will be pervasive. Cloud will drive not only technological innovation, but also serve as the foundation for business innovation. This complimentary webinar will help IT and business leaders develop cloud strategies while mapping out cloud’s evolutionary course for executive leaders, peers and teams. Discussion Topics: What cloud adoption will look like in 2025 The key drivers for cloud’s evolutionary change...

After careful consideration and input from our clients, Gartner has made the decision to deliver this year’s conference virtually. Around the world, organizations and entire industries have been forced to regroup and reassess how they do business. Infrastructure and operations (I&O) leaders have had to change plans rapidly to adjust to remote workforces and cost pressures, and keep core systems operational and resilient. As business...

Discussion Topics: Ensure you keep your focus on cloud strategy as you move into implementation Best practices for a successful cloud implementation Pair a business-driven strategy with a pragmatic adoption/migration plan Not all cloud journeys are the same, but there are similarities. Journeys range from infrastructure replacement to digital transformation, with many others in between. A business-driven strategy coupled with a pragmatic adopt...

Discussion Topics: Discover how cloud native and multicloud impact the adoption of cloud computing Clear up the confusion surrounding the new cloud concepts Use cloud native and multicloud to formulate a pragmatic cloud strategy egloff New concepts such as cloud-native and multicloud increasingly show up as principles in organizations’ cloud strategies. They can be instrumental in unlocking the power of cloud, but they also can further c...

Discussion Topics: Why more organizations can access AI without building AI models from scratch Should you use a single cloud provider or a multi-cloud mix Best practices for determining your best cloud and AI strategy As language, vision and machine learning (ML) cloud services grow in number, organizations gain easy access to artificial intelligence (AI) without having to build AI models from scratch. But how different or similar are these s...

Discussion Topics: Explore the current state of cloud business and enterprise deployments Know where cloud computing is heading and the implications for digital business Learn how can organizations stay ahead of increased complexity and manage risks Most enterprise data centers are expected to move to the cloud by 2025. The use of public clouds in the form of infrastructure, platforms and software as a service will be extensive. Yet, tradition...

Discussion Topics: Give your entire organization access to the data science and machine learning (ML) platform Automate data science and ML to make it more repeatable, robust and scalable Accelerate your model development and deployment EDT: 11:00 a.m. | BST: 16:00The pace of change in Machine Learning (ML) and data science technologies is so rapid that organizations could get left behind, even when they think they have modern approaches. This...