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How generative AI impacts your digital transformation priorities

CIO Business Intelligence

Clean and prep your data for private LLMs Generative AI capabilities will increase the importance and value of an enterprise’s unstructured data, including documents, videos, and content stored in learning management systems. It might actually be worth something by cleaning it up and using an LLM.”

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3 key digital transformation priorities for 2024

CIO Business Intelligence

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

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Scaling AI? First—get your data storage right

CIO Business Intelligence

Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights. In my role at Dell Technologies, I strive to help organizations advance the use of data, especially unstructured data, by democratizing the at-scale deployment of artificial intelligence (AI).

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

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FINRA CIO Steve Randich pushes the public cloud forward

CIO Business Intelligence

But for two years, we were testing limits within the public cloud.” While managing unstructured data remains a challenge for 36% of organizations, according to the 2022 Foundry Data and Analytics Research survey, many IT leaders are actively seeking ways of harnessing all types of data stored in data lakes.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Learn more about unstructured data storage solutions and how they can enable AI technology.