IBM brings the power of product, platform and people to move the needle in Enterprise AI adoption
The tech world is a buzz about generative AI but what does it really mean for the economy and for the enterprises looking to harness the technology for growth? And maybe the bigger question, how do these enterprises navigate quickly and smoothly through all of the noise?
Enterprises need the power of product, platform and people to put AI to use in a meaningful way. Enter IBM Watsonx.ai, Red Hat and IBM Consulting to help move the needle.
According to Goldman Sachs, AI tools in the enterprise and society could drive a 7% (or almost $7 trillion) increase in global GDP and lift productivity growth by 1.5 percentage points over a 10-year period.
There is no doubt that AI is a transformative technology. Enterprises see the potential for business growth and competitive advantage. Many organizations are strategically planning their moves. Tech giants like IBM are in a strong position to provide guidance to these clients both from a product, platform, and consulting perspective
On the product side of the house, IBM created Watson AI solutions with Watsonx.ai at its core. IBM Watsonx is built and entirely powered on RedHat OpenShift. Large Language Models and massive data sets are a foundational element for driving in depth intelligence for improved business function. IBM has developed 20 foundational models (FMs) that vary by architectures, modalities, and size.
Data is great but insight from the data is key. Unlocking that insight and turning that insight into outcomes requires skill and experience.
Not only can IBM Consulting help customers choose the right AI model, they can help ensure that the data is being trained correctly to reap business value. The IBM team then works with the client to navigate real world challenges that come with massive amounts of data like sovereignty issues, privacy concerns, security alignment, reliability and correctness of the data.
According to IBM’s 2022 AI Adoption Index, 35% of companies are using AI in their business today, up 4 percentage points from 2021.
Today organizations are using AI in 3 main ways with more and more use cases quickly emerging:
*Faster more personalized customer service
* Quicker product development
*Better quality outputs
As end users, we see these outcomes being realized in the automation of drive-thru ordering, more efficient call center routing, and more intelligent chatbots that can quickly and accurately answer our questions, to name a few. But there are so many more ways that businesses will use AI that we haven’t begun to see as consumers yet.
So how do all of the pieces come together to get to these business outcomes that matter? What is the platform that acts as both the orchestration and innovation layer?
Organizations can leverage Red Hat OpenShift to build, deploy, and run cloud-native applications to help deliver a more consistent experience anywhere – cloud, on-premises, or at the edge. This workload agnostic approach increases productivity, flexibility and time-to-market in the development, operation, and maintenance of critical business applications
Digital transformation projects, powered by AI, are further enhanced by an automation strategy that includes Red Hat Ansible Automation Platform. By implementing Ansible Automation Platform companies not only decrease delivery time, and error rate but accelerate time to market and revenue.
IBM has delivered a people, process and technology approach and roadmap for enterprise AI acceleration that is addressable and actionable today.
Read more about IBM Consulting and their Center of Excellence for Generative AI: https://www.ibm.com/blog/ibm-consulting-unveils-center-of-excellence-for-generative-ai/
References
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cc: @ibm @redhat