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Startups Must Take Advantage of Big Data to Gain a Competitive Edge

Smart Data Collective

Startups need to take advantage of the latest technology in order to remain competitive. Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage.

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading.

Algorithm 342
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How Genetic Algorithms and Machine Learning Apply to Investments

Smart Data Collective

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Genetic algorithm use case. As well as bolster investor confidence and improve profitability. Pre-train tests.

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Think you can ignore quantum computing? Think again.

CIO

In 1994, American mathematician Peter Shor developed quantum algorithms to factor integers and solve the discrete logarithm problem. When run on a big enough quantum computer, these algorithms will be able to crack all the public key crypto systems we rely on today for privacy. The impact will be felt globally.

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7 famous analytics and AI disasters

CIO

Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives. AI algorithms identify everything but COVID-19. The algorithm learned to identify children, not high-risk patients.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Balancing innovation with value, cost, and practicality: The CIO’s guide to future proofing technology investments

CIO

Future proofing technology investments has become a critical imperative for organizations seeking to maintain their competitive edge. For example, Netflix’s 2009 $1 million algorithm contest succeeded but the algorithm wasn’t used due to integration issues and business model changes.