Remove category cybersecurity-news
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How to Compensate for Blind Spots and Biases in Your Security Strategy

Smart Data Collective

Many businesses have at least some kinds of cybersecurity plan in place, but not all cybersecurity strategies are equally thorough. How do you compensate for these and improve your cybersecurity approach? Pay attention to the news. But new cyberattacks and threats are constantly evolving.

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Best Practices for Data Lake Security

ODSC - Open Data Science

Data ingestion is when new data is introduced and absorbed into the lake. The processing layer is when data is managed and sorted into its storage category. Each of these components will require different forms of cybersecurity. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly Media

Cybersecurity itself was considered an esoteric backroom technology problem until we learned of the Equifax breach, the Colonial Pipeline ransomware attack, Log4j vulnerability, and the massive SolarWinds hack. We didn’t really care about cybersecurity until events forced us to pay attention.

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5 Data Security Strategies Businesses Should Implement

Smart Data Collective

Smaller companies can’t afford to be lax with their cybersecurity. DDOS attacks fit this category, as do other acts of corporate sabotage. The good news in the middle of this all is that most cyber-attacks aren’t targeted. The good news is that there are cyber-security firms that offer employee email security training.

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LLM Use-Cases: Top 10 industries that can benefit from using large language models

Data Science Dojo

Large language models, which are a prominent category of transformer models, have proven to be exceptionally versatile. Here are some of the ways that LLMs are being used in finance: Financial analysis: LLMs can be used to analyze financial reports, news articles, and other financial data to help financial analysts make informed decisions.

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Rethinking finance through the potential of machine learning in asset pricing

Dataconomy

This cutting-edge technology allows financial analysts to develop more accurate and robust models that take into account a wider range of factors, including macroeconomic data, company fundamentals, and even news sentiment. These limitations can lead to inaccurate asset valuations and investment decisions.

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Business disaster recovery use cases: How to prepare your business to face real-world threats

IBM Journey to AI blog

Last year, companies around the world spent close to USD 219 billion on cybersecurity and security solutions, a 12% increase from the previous year according to the International Data Corporation (IDC) (link resides outside ibm.com.) This seamless transfer helps prevent data loss and keeps valuable services online throughout the interruption.