Remove tag business-development
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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

He and his teams tried a few off-the-shelf tools but were never satisfied with the support for linking a cloud resource to a line of business to determine ownership. Set an eight-week development cycle with two-week sprints. You don’t know when it will be written, and you must be ready to consume it. Assign a product owner.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So what? (3)

Strategy 289
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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO Business Intelligence

But the partnership seeks to go beyond Cognizant’s internal use, with Microsoft and Cognizant teaming up to promote generative AI use across Cognizant’s global client base through the advisory and digital transformation services arm of Cognizant’s business.

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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless. The high-level steps are as follows: Create tags.

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Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

AWS Big Data

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Poor data quality can lead to erroneous decisions, inefficient operations, and compromised business performance.

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How AI is helping the NFL improve player safety

CIO Business Intelligence

The platform draws data from the players’ RFID tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, as well as other data such as weather, equipment, and play type to build a complete view of players’ experiences. Souza says this is true of all businesses, not just sports.

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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models.