Compliance Development Team Review Resources Systems Review 
CIO
FEBRUARY 16, 2024
This conundrum is what motivated Tomago to migrate its ERP system to the cloud back in 2015. The version of their SAP ERP system was out of support and the SAP instance they chose wasn’t available as an on-premise capable, supported hardware platform. For Moncrieff, the conversation was really around ownership, transparency, and cost.
CIO
MARCH 26, 2024
IT leaders must rigorously assess their partners’ talent management and development strategies, build greater trust and transparency into the relationships, and invest in greater partner governance. Many of the new skills are in rare supply, as are team leaders experienced in this new development paradigm.”
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CIO
FEBRUARY 14, 2024
Data due diligence Generative AI especially has particular implications for data security, Mann says. In fact, for security, compliance, and efficiency reasons, CIOs will want to carefully manage which data generative AI has access to.
CIO
AUGUST 1, 2022
To address these challenges, the pharmaceutical firm developed Lilly Translate, a home-grown IT solution that uses natural language processing (NLP) and deep learning to generate content translation via a validated API layer, Coleman says. The product was developed via a DevSecOps agile framework,” Coleman says.
TechCrunch
DECEMBER 16, 2021
Working together at Uber’s risk team, Yifu Diao and Ming Fang came to realize that with the hypergrowth the company was seeing came fraud challenges. When Fang joined Uber’s risk team in 2016, there was a need to use Mastermind at dispatch time — when drivers and riders are matched.
Prisma Clud
OCTOBER 24, 2023
Speed and agility in application development often take precedence over security. Enter cloud discovery and exposure management (CDEM) , a pivotal CNAPP capability that empowers security teams to identify, assess and remediate hidden cloud assets.
O'Reilly Media - Ideas
JANUARY 19, 2021
Difficult questions about compliance and legality often pour cold water on late-stage AI deployments as well, because data scientists rarely get attorneys or oversight personnel involved in the build-stages of AI systems. and nothing about using data in an AI system changes this fact.
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