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Research shows extensive use of AI contains data breaches faster and saves significant costs

IBM Big Data Hub

The Cost of a Data Breach 2023 global survey found that extensively using artificial intelligence (AI) and automation benefited organizations by saving nearly USD 1.8 million in data breach costs and accelerated data breach identification and containment by over 100 days, on average.

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IT leaders embrace the role of business change maker

CIO Business Intelligence

According to the 2023 State of the CIO research , 85% of IT leaders have come to view the CIO role through the lens of changemaker — a vantage point not likely to shift as the role becomes more digital and innovation focused. If you are not actively doing that, you won’t be a change maker.”

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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

With the avatar deployed, CSN officials plan to measure whether Digital President Zaragoza improves student engagement, learning outcomes, student satisfaction, retention, and accessibility, in addition to producing time and costs savings. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp.

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Role of Workforce Analytics in Event Industry

BizAcuity

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. For the event industry the benefits of workforce analytics approach include-.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

They love how they can easily stream data with no underlying servers to provision or manage, operate at a massive scale with consistent performance, achieve high resiliency and durability, and benefit from broad integration with myriad sources and sinks to ingest and process data respectively. This is why Kinesis Data Streams is a good fit.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow.