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By Howard Boville, head of hybrid cloud platform, IBM
Crises are often powerful catalysts for change. And the COVID-19 pandemic is no different. Case in point: A recent IBM Institute for Business Value study reveals that 56% of CEOs will aggressively pursue operational agility and flexibility in the next two to three years. And 74% will look to cloud computing over the same period to help deliver improved business results.
We are in the midst of a historic economic inflection point, a digital “arms race” in which companies of all sizes across industries are rapidly transforming their business models, workflows, and customer experiences. They are, in short order, laying the digital foundations of their businesses, migrating workloads to the cloud, and building powerful AI models. And while this work is urgent, today’s decisions can have long-term consequences and dictate competitiveness for decades to come.
Digital transformation means different things to different industries. Still, common among them is the need to mine vast amounts of data across complex IT estates for deep insight with speed and scale. This includes modernizing apps and IT resources for the cloud era and using AI to automate work and predict outcomes without introducing new security vulnerabilities.
IBM’s unique hybrid cloud architecture, capabilities, and AI strategies enable clients to advance to this new world. Our hybrid cloud platform creates a seamless fabric that connects data and workloads across public clouds, private clouds, on-premises data centers, and the network edge. And clients can apply AI to that data wherever it lives, without having to move it.
Importantly, trust and security are essential components of this infrastructure. That is why our clients’ data and insights remain theirs, and IBM cannot share it.
IBM
The goal of this work is innovation. To automate repeatable tasks so that people are free to move to higher-value work. To predict the needs of customers or movements in markets. And to do it all while meeting the unique, regulatory requirements of any particular industry.
This is why EY is using IBM Watson Discovery to transform its approach to M&A due diligence; why Deutsche Lufthansa AG is using IBM Watson Studio, IBM Watson Machine Learning, and IBM Cloud Pak for Data to enhance operational excellence; why BNP Paribas and MUFG Bank have moved regulated workloads to the IBM Cloud for Financial Services; why Egyptair is taking a hybrid cloud approach with IBM to scale and modernize back-end operations and improve customer service; why Daimler is implementing an intelligent cloud solution with IBM’s computing capabilities to protect consumer data and migrate its global after-sales portal to the IBM Cloud; and why AT&T is working with us to help businesses deploy applications to any environment where their data resides – including the edge.
We know that staying competitive in the age of hybrid cloud and AI requires a reinvention of business processes. These processes must be agile and flexible to change quickly with evolving demands; scalable and secure to engage customers safely where they live; and automated to enable data insights and manage costs.
Platform ecosystems, and industry and partnerships, will be critical to initiating and sustaining the rapid innovation, co-creation, and ongoing digital transformation required to emerge from the pandemic even stronger.
Learn how IBM is helping businesses across industries rethink everything with hybrid cloud and AI.
This post was created by IBM with Insider Studios.
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