System Related Topics 
CIO
OCTOBER 29, 2024
The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Kar advises taking a measured approach to system modernization.
CIO
OCTOBER 22, 2024
Singapore has rolled out new cybersecurity measures to safeguard AI systems against traditional threats like supply chain attacks and emerging risks such as adversarial machine learning, including data poisoning and evasion attacks.
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CIO
SEPTEMBER 26, 2024
Cybersecurity and systemic risk are two sides of the same coin. Systemic risk and overall cybersecurity posture require board involvement and oversight. They need a visual representation of their cybersecurity posture that explains the systemic risk accepted by the organization. They need to be succinct yet complete.
CIO
AUGUST 14, 2024
SAP has sealed a bunch of severe bugs affecting its systems, including two critical vulnerabilities that can allow full system compromise.
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Under the hood, it is an elegant system for stream processing, event sourcing, and data integration. Download this white paper to learn the 10 critical rules that will help you optimize your Kafka system and unlock its full potential. While not the easiest technology to optimize, Kafka rewards those willing to explore its depths.
CIO
AUGUST 20, 2024
AMD is acquiring server maker ZT Systems to strengthen its data center technology as it steps up its challenge to Nvidia in the competitive AI chip market. By buying ZT Systems, AMD strengthens its ability to build these high-performance systems, boosting its competitiveness against rivals such as Nvidia.
Henrik Warne
NOVEMBER 9, 2024
I am using a very simple system for remembering commands and procedures, and for tracking what I work on. How do I build, test and deploy the system? Procedures For example, how to make a release, how to deploy to the test and production environments, how do start and stop systems, and where to find the logs.
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Learn 10 rules that will help you perfect your Kafka system to get ahead. Apache Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it.
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This will help you decide whether to build an in-house entity resolution system or utilize an existing solution like the Senzing® API for entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.
Speaker: Jason Tanner
A sustainable business model contains a system of interrelated choices made not once but over time. While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability.
Advertiser: Data Robot
As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.
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Learn ten rules that will help you perfect your Kafka system to get ahead. Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it.
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You need a Learning Management System when your courses and training programs need to be accessible online. Quickly build the perfect business case and easily determine which LMS will provide the best return on investment you need with this how-to eBook!
Advertiser: Data Robot
But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the real patterns observed in the outside world.
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