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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. Answers comes with semantically relevant information, citing the knowledge sources used to craft the answers, the company said.

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

If your trade analysis and trials are a pain in the neck or you barely register any results, you’ll undoubtedly be looking for ways to change things up. Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. Anomaly detection Anomaly detection algorithms can identify unusual patterns in data that might indicate errors, fraud, or emerging trends.

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Search Engine Marketers Without Data Analytics Knowledge Are Obsolete

Smart Data Collective

You have to vet a search engine marketing firm carefully before hiring them to make sure they understand data analytics and can use it to their advantage. But does every business have the search engine marketing expertise, resources and knowledge of data analytics to manage paid search? Campaign Analysis. Take a look!

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Expert Insights on Using Financial Analytics with Algorithmic Trading

Smart Data Collective

Many individual traders are also finding ways to take advantage of financial analytics to get a higher ROI from their investing decisions. They have been a successful algorithmic trader for the past 17 months. This trader never imagined that their life would be completely transformed by becoming an algorithmic trader.

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Air Force CDAIO Eileen Vidrine on leading top-flight AI operations

CIO

These efforts include the integration of machine learning algorithms and other AI-based solutions to enhance data processing, analysis, and utilization. The DAF has set ambitious goals to achieve AI readiness by 2025, and an AI competitive edge by 2027, in order to gain a strategic advantage over our adversaries in national security.

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Technical Analysis is Changing Quickly in the Era of Big Data

Smart Data Collective

Pan points out that big data has helped make trades more efficient and given traders the ability to take advantage of real-time trading opportunities. When it comes to predicting future price movements in the market, technical analysis emerges as the most powerful weapon at our disposal.

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