Exponential technologies, powered by data, are creating the next-generation business model.Download the full reportDownload the infographic
Organizations are facing an unprecedented convergence of technological, social, and regulatory forces. As artificial intelligence, automation, Internet of Things, blockchain, and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies.
We call this next-generation business model the Cognitive Enterprise. And our thought leaders have outlined seven steps toward getting there.
A new era of business reinvention is dawning, and we call the next-generation business model the Cognitive Enterprise.
Platform players are trading supply-side for demand-side economics, opening for others to join and rewriting rules that once determined value creation.
The scope and diversity of data matters because when combined, they have the potential to create deep context and insights.
To become a Cognitive Enterprise, organizations are adopting new business platforms that can be a basis for enterprise architecture.
AI and exponential technologies are reimagining workflows by orchestrating interactions between smart machines and even smarter humans.
Enterprise agility can become a foundation for corporate culture transformation, new ways of working and exponential growth in learning.
As more companies adopt business platforms as the core of their operations, the need for new skills and continuous re-skilling is accelerating.
Customers’ trust that an organization will safeguard their data has become a compelling expectation.
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Improve your processes and operations through cost savings, business efficiency and process automation.
Move the burden of processes from humans to technology for the potential to redesign the way work gets done within an enterprise.
Rapidly adapt to changing business environments: agile methodology promotes adaptive planning, evolutionary development, early delivery and continuous improvement.
Using AI, automation, new talent technologies and the expertise of IBM, you can hire the right people and keep their skills sharp.
Through the intersection of AI, intelligent orchestration, the agility of the cloud, and collaboration with each other, we can tackle the cybersecurity challenges ahead.
Becoming a Cognitive Enterprise requires transformation across the organization, with finance playing a critical role in enterprise evolution.
When used to re-engineer core processes and workflows, artificial intelligence, automation, blockchain and the IoT can help reinvent the procurement function.
Executives are recognizing benefits of artificial intelligence, but are more discriminating about priorities and how to roll out these leading-edge technologies.