CIO Business Intelligence
MAY 17, 2022
Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.
CDW Research Hub
MARCH 19, 2020
Many healthcare organizations are planning for—or have already begun—the process of rolling out pop-up or mobile COVID-19 clinics to support expanded coronavirus testing. Support for IT security and risk mitigation for mobile clinics. Sourcing and logistical support for network infrastructure and access points.
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Smart Data Collective
APRIL 13, 2021
By 2012, there was a marginal increase, then the numbers rose steeply in 2014. They can use AI and data-driven cybersecurity technology to address these risks. One of the best solutions for data protection is advanced automated penetration testing. Breach and attack simulation. In summary.
CIO Business Intelligence
NOVEMBER 7, 2022
While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.” The auditors noted that rollout of “the first phases” of CLS was now expected that same year, and added recommendations on managing outsourcing risk to their earlier warnings. By March 2019, things were slipping.
Smart Data Collective
SEPTEMBER 4, 2019
Predictive analysis is also being deployed to better help understand a mother’s risks when giving birth. Predictive analysis will reduce pregnancy risks by allowing doctors to be able to predict potential patient issues when giving birth. The data is then being analyzed to better determine the risks that a mother may face.
O'Reilly on Data
APRIL 25, 2019
However, the dominant way to pay for smart contract-based goods and services has been with volatile cryptocurrencies, adding currency risk to businesses that operate on more stable national currencies such as dollars, yuan, or euros. With the rise of stablecoins, businesses incur smaller currency risks and transaction fees.
O'Reilly on Data
JANUARY 25, 2021
in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Observability” risks becoming the new name for monitoring. It’s particularly difficult if testing includes issues like fairness and bias. Starting with Python 3.0 And that’s unfortunate.
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