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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO Business Intelligence

However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.

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InfoSec Policies and Standards: Some strategic context for those just diving into this world

CTOvision

Organizations are giving more priority to development of information security policies, as protecting their assets is one of the prominent things that needs to be considered. Lack of clarity in InfoSec policies can lead to catastrophic damages which cannot be recovered. Security policies are tailored to the specific mission goals.

Policies 268
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Finding Common Ground with Your CEO

CTOvision

The chief technology officer (CTO) and chief executive officer must work together for the good of the company. The CTO is responsible for focusing on technological matters, such as computers, websites and social networking. Act More Like a Partner Than a Leader.

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30 July Analytics Forum: A cross-sector gathering of the greatest minds in analytics

CTOvision

Bray, Chief Information Officer, FCC. Moderator: Dr. Kirk Borne, Data Scientist and Professor, George Mason University. Bourne, Associate Director for Data Science, National Institutes of Health. Dr. Robert Grossman, Director, Center for Data Intensive Science, University of Chicago. Seats will sell out fast.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Strategy 145
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Strategy 136
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30 July Analyst Forum: Incredible Agenda And Even Greater Attendees

CTOvision

Bray, Chief Information Officer, FCC. Moderator: Dr. Kirk Borne, Data Scientist and Professor, George Mason University. Bourne, Associate Director for Data Science, National Institutes of Health. Dr. Robert Grossman, Director, Center for Data Intensive Science, University of Chicago. Dr. Philip E.