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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? That is: (1) What is it you want to do and where does it fit within the context of your organization?

Strategy 290
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The steep cost of a poor data management strategy

CIO Business Intelligence

Such is the case with a data management strategy. Without it, businesses incur steep costs, but the downside, or costs, are often unclear because calculating data management’s return on investment (ROI), or upside, is a murky exercise. Without it, organizations incur a significant opportunity cost.

Strategy 108
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Key Strategies to Develop AI Software Cost-Effectively

Smart Data Collective

Some companies are interested in taking advantage of the benefits of existing AI tools like ChatGPT. The ROI of creating their own AI applications can be massive, but they still need to use them cost-effectively. A study done by Deloitte in late 2022 showed that cost reduction is the top priority for CFOs.

Software 115
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Data Strategy Creation – A Roadmap

Peter James Thomas

Data Strategy creation is one of the main pieces of work that I have been engaged in over the last decade [1]. In my last article, Measuring Maturity , I wrote about Data Maturity and how this relates to both Data Strategy and a Data Capability Review. The latter has to be imbued with real commercial benefits being delivered.

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Cloud cost allocation: How one firm uses FinOps to do chargebacks right

CIO Business Intelligence

Cloud computing and cloud software are some of the biggest IT trends of the decade, but they can wreak havoc on IT financial analysts trying to track assets, control and predict costs, or charge cloud service costs back to the departments that benefit from them. One firm’s story: $2.6M

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down. Discover how you can optimize your data warehouse to scale analytics and artificial intelligence (AI) workloads with a data lakehouse strategy.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275