Remove Data Science Remove Digital Transformation Remove Experimentation
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3 force multipliers for digital transformation

CIO Business Intelligence

The message to CIOs is to do more with less, and the implication is that CIOs must look at digital transformation initiatives differently than in years past. Force-multiplying digital transformation initiatives aim to accomplish multiple strategic objectives through a single vision and investment.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation. Luckily, many are expanding budgets to do so. “94%

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How generative AI impacts your digital transformation priorities

CIO Business Intelligence

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. IT must lead by example on where and how to experiment and when not to use a tool or proprietary data set.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

IoT 111
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9 IT resolutions for 2025

CIO Business Intelligence

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT 140
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

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How We Teach The Leaders of Tomorrow To Be Curious, Ask Questions and Not Be Afraid To Fail Fast To Learn Fast

Rocket-Powered Data Science

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.