SD-WAN in the Age of Digital Innovation — Achieving Business Agility While Reducing Disruption
Most organizations are in the midst of some form of digital innovation (DI) - leveraging technology to achieve specific goals—and ultimately deliver greater value to their customers. But DI also brings disruption. Disruption in the form of an expanded attack surface and the introduction of a more sophisticated threat landscape. Disruption can also lead to increased complexity as organizations try to counter these new threats with a range of new security solutions. Finally, maintaining compliance with relevant industy and regulatory standards such as the General Data Protection Regulation (GDPR) becomes even more of a challenge.
However, despite these issues, one key DI has rapidly going mainstream - software-defined wide-area network (SD-WAN). Unfortunately, SD-WAN is a prime example of the paradox of DI: a transformative technology that can potentially move the business to the next level, but the expanded attack surface it creates can expose the organization to significant risk. The challenge is how to take advantage of SD-WAN while offsetting the potential disruption than can come with it.
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COVID-19 and shattered supply chains - Reducing vulnerabilities through smarter supply chains
Companies typically create supply chains with the expectation that materials will be easily accessible. However, as COVID-19 has shown, unexpected events can shatter this basic premise, disrupting supply chain performance.
COVID-19 has driven home the need to strengthen global supply chain networks. Supply chains should be dynamic, responsive, and interconnected to an organization’s ecosystem and processes. This requires end-to-end visibility, real-time insights, and decisive actions -particularly in escalating situations.
Systems based ...
AI done right: With a strong foundation, everyone can map a successful journey—including you"
What if you discovered that a data science background isn’t necessary to understand, interpret and act on the most complicated aspects of enterprise AI? How would that knowledge impact the business processes and applications your organization relies on to remain competitive? ...
Why Your AI infrastructure Needs Both Training and Inference
AI is changing on-prem and cloud data centers requirements. This paper focuses on the difference between training and inference and why a data center requires dedicated resources for both forms of AI processing. ...
Webinar: Simplify Your Multicloud Journey With IBM Power Systems
81% of enterprises are pursuing a multi-cloud strategy. Are you ready?
IBM Power Systems allow even the most data-intensive, mission-critical workloads to take advantage of the benefits of a multi-cloud environment ...
Unlock the Promise of Hybrid Multicloud
Can enterprise businesses simplify hybrid multi-cloud complexity?
Yes — with the right architecture, projects can span private and public clouds as you seamlessly move workloads back and forth across a hybrid environment. ...
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The Journey To Open Transformation: September 2019
Pressure Intensifies to Drive Digital Business in Europe. We are now in an era of multiplied...