Meet Johnny.
His managers want to adopt AI because everyone’s talking about it. But they’re not entirely sure what it can do for their business.
Meet Jane.
She’s told her managers that the company must adopt AI to capitalise on the reams of data it generates every day.
Johnny begins to configure his x86 server, but quickly realises it will take a long time to complete the set-up as he has no technical support.
Johnny opts to run AI solutions on an x86 server, after a peer recommends it.
Johnny is wrestling with his software configuration and struggling to select the right framework for the job.
Johnny wades through numerous blogs and documents, frustrated by the complexity of his server configuration and the lack of support.
Johnny manages to configure his server, but runs into new issues when he tries to cluster three of them. He seeks more tech support.
Johnny’s managers call an emergency meeting to analyse the company’s slow adoption of AI.
Johnny and Jane go for coffee. Johnny shares his frustration with getting his x86 server into production. Jane gives him valuable advice about how switching to PowerAI can help.
Johnny opts to run AI solutions on an x86 server, after a peer recommends it.
Jane configures her IBM Power server in just half an hour. Because PowerAI is a holistic hardware and software service, Jane can immediately start selecting the deep learning frameworks she needs.
Jane realises that AI needs high performance and power, so she opts to run IBM PowerAI on IBM Power Systems.
Jane clusters four Power boxes with ease, achieving even greater speed and performance.
Jane teaches her company’s new AI to identify key data from unstructured sales orders, eliminating a wasteful manual task.
Jane uses PowerAI to create an AI system that spots patterns in buying behaviour so her company can pre-emptively offer deals and reduce customer churn.
Jane’s managers praise her for her contribution. She expands her team and looks to implement AI across new areas of the business.
Jane configures her IBM Power server in just half an hour. Because PowerAI is a holistic hardware and software service, Jane can immediately start selecting the deep learning frameworks she needs.
Johnny is wrestling with his software configuration and struggling to select the right framework for the job.
Jane clusters four Power boxes with ease, achieving even greater speed and performance.
Johnny wades through numerous blogs and documents, frustrated by the complexity of his server configuration and the lack of support.
Jane teaches her company’s new AI to identify key data from unstructured sales orders, eliminating a wasteful manual task.
Johnny manages to configure his server, but runs into new issues when he tries to cluster three of them. He seeks more tech support.
Jane uses PowerAI to create an AI system that spots patterns in buying behaviour so her company can pre-emptively offer deals and reduce customer churn.
Johnny’s managers call an emergency meeting to analyse the company’s slow adoption of AI.
Jane’s managers praise her for her contribution. She expands her team and looks to implement AI across new areas of the business.
Johnny and Jane go for coffee. Johnny shares his frustration with getting his x86 server into production. Jane gives him valuable advice about how switching to PowerAI can help.
Johnny and Jane both wanted the best for their businesses. Jane just knew how to get there faster.
Be more like Jane and choose IBM PowerAI on IBM Power Systems.
Be more like Jane and choose IBM PowerAI on IBM Power Systems.
ibm.biz/Journey-To-AI
Johnny is wrestling with his software configuration and struggling to select the right framework for the job.
She’s told her managers that the company must adopt AI to capitalise on the reams of data it generates every day.
