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A Simple Trick to Utilise Databrick’s Intel Hardware to Improve Model Training Efficiency

Advancing Analytics

Advancing Analytics benchmarked the solution and found to achieve a 29% improvement in training performance. The notebook the performance was tested on was the main training book where hyperparameter tuning using HyperOpt was adopted. The use-case of interest was a fraud detection model that carried long training times.

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Peer-Benchmarked Threat Resilience Metrics

FS-ISAC

And could we get that benchmarked against our peers? Since it is a shared test plan, all Index consumers consistently use the same test procedures to arrive at their Threat Resilience Metric – and that is how it is benchmarkable. The latest Q1 2023 benchmark is 63%. It is best used in an open book, broad stakeholder setting.

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Peer-Benchmarked Threat Resiliency Metrics

FS-ISAC

And could we get that benchmarked against our peers? Since it is a shared test plan, all Index consumers consistently use the same test procedures to arrive at their Threat Resilience Metric – and that is how it is benchmarkable. The latest Q1 2023 benchmark is 63%. It is best used in an open book, broad stakeholder setting.

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What is MLOps and Why Do You Need It?

Advancing Analytics

Data Scientists will be able to track experiments, models and parameters to allow them to benchmark performance against other models or return to previous models. Is the model a book recommender which is intended to supply recommendations to sent as weekly emails? This is also the right time to consider how the model should be served.

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Social Engineering = Fancy Job Title for Hackers

Online Computers

With technology at the forefront of most businesses, external threats are becoming the benchmark for social engineers. You just fell for the oldest online hack in the book. They are doing this right under your nose, and if you’re not paying attention you will be a victim of this as well. External Threats. Spear Phishing.

Malware 52
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What Is Risk Management?

LogisManager

Immediately after completing the assessment, you’ll receive an immediate benchmarking report that explains your current maturity level and offers actionable ideas for improvement. Book a free demo to see how our software can protect and reduce negative impacts against your business. If so you can find out more here. SCHEDULE DEMO.

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Large Language Models as Collaborative Tools in BEAM Sessions

Advancing Analytics

Benchmarks: How do you compare your performance against industry benchmarks or competitors? Chat to us further about the use of AI or large language models, or book an AzureOpenAI workshop with us today - contact us here. • Opportunities: Are there opportunities that you feel you might be missing out on?