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Hitachi Vantara CTO for AI: What Many Enterprises Overlook That Blocks AI Success
- Companies investing in artificial intelligence will face increasing pressure to demonstrate returns on their investments in 2025 and beyond, according to Hitachi Vantara CTO for AI Jason Hardy.
- AI investment is likely to depend increasingly on demonstrable results.
- Only 13% of CFOs surveyed identified 'very positive' ROI, but most plan to continue investing in AI.
- A fifth of IT leaders say their AI models hallucinate or make things up.
- Only 36% trust their AI outputs more than half of the time.
- Data quality is underestimated by companies plunging into Artificial Intelligence and poor data leads to poor results.
- 76% of IT leaders say their data is unstructured leading to difficulties in organizing it and preparing it for AI use.
- Hitachi Vantara's approach is to let the customer identify the area first which requires automation before organizing the relevant data accordingly.
- Clients are advised to start with use cases at the periphery first before moving to core business functions to minimize risks.
- Hitachi Vantara's approach to helping clients prepare their data varies according to use case requirements.
- Hitachi Vantara is developing its own family of foundation models and focusing on industries where the parent has deep expertise.
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