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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing).

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis. By leveraging machine learning algorithms, AI can analyze user behavior and network traffic patterns, identifying anomalies that might indicate insider threats or other malicious activities.

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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics. As good as these data analytics have been, collecting data and then performing pattern-detection and pattern-recognition analytics can be taken so much further now with AI-enabled customer interactions.

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The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The reality is that “AI solutions” today are based more in machine learning and behavior analytics , which does NOT equate to higher levels of human intelligence and complex decision making.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This is one of the most important data analytics techniques as it will shape the very foundations of your success. Harvest your data. Build a data management roadmap.