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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

Having too many number-one priorities sets unrealistic expectations with business stakeholders and stresses team leaders. Worse is when prioritized initiatives don’t have a documented shared vision, including a definition of the customer, targeted value propositions, and achievable success criteria.

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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type. million video frames and documents about 100 million locations and positions of players on the field.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

Lilly also developed an AI tool to manage and interpret patient data from therapeutic devices, and improve the safety and effectiveness of medicines using a proprietary “sensor cloud.” Data prep matters, except… In areas such as supply chain and analytics, having all of your data in a form readily available to an AI model is essential.

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More Definitions in the Data and Analytics Dictionary

Peter James Thomas

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Democratisation.

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Is your data ready for AI? CIOs lack answers

CIO Business Intelligence

Less than half of organizations have a coherent data management process in place before they launch AI projects, say IT leaders at Databricks and Astera Software, both in the data management space. If they don’t actually have their data in order, they’re not going to have the impact they want.”

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A Guide to Data Analytics in the Travel Industry

Alation

By building a governance framework to address data usage and quality issues, Virgin Australia was able to standardize definitions to facilitate data discovery and build trust. Finnair Finland’s national airline, Finnair , wanted to break down data silos to standardize metrics and support better communication across teams.