Top 20 Cyber Attacks Against Critical Infrastructure and ICS

What is leadership in the digital age for an I&O leader. What actions and next practices must I&O implement. How leading organizations use I&O to deliver the highest value. Infrastructure & Operations (I&O) leaders must actively drive growth and success across the enterprise by helping to scale digital initiatives. Join this complimentary I&O webinar to craft a strategy for 2019 and beyond that transforms your leadership, technology, processes, operating model, KPIs and, most importantly, your people. We reveal critical success factors and spotlight specific case studies of organizations who have done this successfully.

The one thing that all businesses have in common is that they want and need IT solutions to make their lives easier, more efficient, and more affordable, particularly as digital transformation efforts take center stage. Converged, hyperconverged, composable, and other integrated platforms (collectively, integrated systems) all have the potential to accomplish these goals which can allow the IT organization to focus their efforts more on business outcomes rather than hardware.

The cloud is the new data & analytics platform. Cloud offers a diversity of choice, but that amounts to increased complexity. Data & analytics leaders must address various gaps while pursuing their D&A cloud modernization journey. However, to minimize cloud complexities, data and analytics leaders must update early data engineering practices to lay the right foundation for how data & analytics applications are built, managed and operated in the cloud. They must establish a strong cloud data management strategy and approach that can minimize human effort, delays and operational costs. Join this complementary data & analytics webinar to explore the state of the data & analytics platforms, and the transition to cloud and its implications.

Artificial Intelligence (AI) and Machine Learning (ML) became buzzwords in 2018. But only two-fifths (39%) of senior executives believe their organizations are getting the most value out of AI and machine learning according to a RELX Emerging Tech Executive Report, which polled 1,000 US senior executives.