A global report commissioned by Hewlett Packard Enterprise reveals that many organizations overlook critical gaps in their AI strategies, leading to fragmented approaches and potential delivery issues. The report highlights low data maturity levels, deficiencies in networking and compute provisioning, and neglect of ethics and compliance considerations as key areas of concern. It also emphasizes the importance of quality data input and provisioning for the end-to-end AI lifecycle. Failure to address these blind spots can result in inaccurate insights, negative ROI, and risks to data security and brand reputation.
Microsoft has released its first AI transparency report, highlighting the creation of 30 responsible AI tools, the growth of its responsible AI team, and the implementation of risk mapping in developing generative AI applications. The report also mentions the addition of Content Credentials to image generation platforms and providing tools for Azure AI customers to detect problematic content and evaluate security risks, including new jailbreak detection methods. Microsoft is also expanding its red-teaming efforts for safety testing of its AI models.
Microsoft has banned US police departments from using its enterprise AI tool for facial recognition. This decision is part of Microsoft’s efforts to address concerns about the technology’s potential misuse and impact on privacy and civil liberties.
Why do we care?
HP’s report highlights the opportunity right now. There is your consulting opportunity. Improving data maturity should be a priority, with investments in data governance frameworks, quality control mechanisms, and advanced data processing technologies.