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Large Language Models Take AI World By Storm

David Menninger's Analyst Perspectives

First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. Several factors have contributed to this evolution.

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Top 8 predictive analytics tools compared

CIO Business Intelligence

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks.

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ADP’s cloud transformation pays dividends

CIO Business Intelligence

ADP remains the 500-pound gorilla in payroll and, with its rich data, can literally tell you what’s really moving the economy,” said Pete A. ADP Data Cloud is one of the “richest datasets in the world,” and this enables the company to anonymize, customize, and monetize its data stockpile in many new ways for its client base, Nagrath claims.

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Investing in ICI would supposedly increase growth for cities and businesses, and improve the lives of citizens. This provides a tremendous opportunity for CIOs to make the difference,” said Mesaglio.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 135
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3 key digital transformation priorities for 2024

CIO Business Intelligence

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

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What Stands Between IT and Business Success? Data Complexity

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax. Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. This scarcity of quality data might feel akin to dying of thirst in the middle of the ocean.

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