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Handling real-time data operations in the enterprise

O'Reilly on Data

At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. Continue reading Handling real-time data operations in the enterprise. Getting DataOps right is crucial to your late-stage big data projects.

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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Similarly, in 2017 Equifax suffered a data breach that exposed the personal data of nearly 150 million people. An evolving regulatory landscape presents significant challenges for enterprises, requiring them to stay ahead of complex, shifting requirements while managing compliance across jurisdictions.

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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

The company provides industry-specific enterprise software that enhances business performance and operational efficiency. Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. It also offered a chatbot that utilized Amazon Lex.

Finance 130
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Your CEO has little idea who IT is or what IT does

CIO Business Intelligence

Executives need to understand and hopefully have a respected relationship with the following IT dramatis personae : IT operations director, development director, CISO, project management office (PMO) director, enterprise architecture director, governance and compliance Director, vendor management director, and innovation director.

IT 124
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The UAE emerges as a global leader in AI, driving innovation and future technology

CIO Business Intelligence

The UAE made headlines by becoming the first nation to appoint a Minister of State for Artificial Intelligence in 2017. GenAI created tremendous interest, and is giving a boost to enterprise AI strategies, and promises to enable many business outcomes. Positioning the country at the forefront of AI development.

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What are model governance and model operations?

O'Reilly on Data

An overview from a 2017 paper from Google lets us gauge how much tooling is still needed for model operations and testing. At the moment, few (if any) teams have checklists as extensive as the one detailed in the 2017 paper from Google. Demand for tools for managing ML in the enterprise.

Modeling 258
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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO Business Intelligence

A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Up to that point, OpenAI had only allowed enterprises and academics access to the software through a limited API.