Sep 12, 2024

Real-Time AI: The New Standard for Decision-Making Excellence

Sep 12, 2024

Client discussion in a professional workspace.
Client discussion in a professional workspace.
Client discussion in a professional workspace.

Real-Time AI: The New Standard for Decision-Making Excellence

Real-time AI is no longer just an advantage—it's a necessity. In a world where decisions must be made in milliseconds, AI is reshaping entire industries, driving faster and more precise outcomes. This edition of Tech Insights dives into how AI accelerates decision-making and outlines strategic steps for senior leaders to maintain their edge.

Uncover the insights:

- How AI is surpassing human decision-making and revolutionising industries

- Why milliseconds can define success or failure in high-stakes business environments

- The future of AI-driven strategies that will solidify your business’s competitive dominance

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Insights and Updates

The Decision-Making Revolution Powered by AI

Decision-making has undergone a radical shift, with AI at the forefront of this transformation. Businesses that rely on human-driven processes, which take minutes or even hours to analyse data, are falling behind. AI, by contrast, processes vast datasets in milliseconds, driving efficiency and unlocking new opportunities for operational precision. According to McKinsey, 67% of organisations expect to increase their AI investments over the next three years, signalling that this technology is now essential for maintaining control in industries like finance and healthcare, where every millisecond counts.

💡 Case Study: PayPal's AI-driven fraud prevention at sub-second speed

In Q1 2024, PayPal processed 6.5 billion transactions globally. Through its AI-driven systems, PayPal scans billions of data points in real time, detecting fraudulent activity before it affects users. Their AI-powered graph database executes billions of sub-second queries, identifying suspicious patterns instantly and preventing fraud at a global scale.

“PayPal’s two-sided network encodes buyers and sellers as vertices in a graph. Their real-time graph platform delivers query results in sub-seconds, feeding machine learning models that immediately stop fraud.” – Subbu Iyer, CEO, Aerospike

Stay Ahead with Worldteam

01 Integrate AI for Instant, Precise Decision-Making

To outperform your competitors, adopt AI platforms capable of processing millions of data points with sub-second latency. Whether you are optimising marketing strategies, streamlining operations, or detecting fraud, real-time AI will ensure that your business reacts faster and with greater accuracy than others in your industry.

02 Utilise Multi-Model Platforms for Advanced Insights

Invest in multi-model platforms that support various data types—key-value, graph, and vector data models. These systems provide deeper insights at unprecedented speed, enabling richer decision-making. Industries like finance, retail, and technology are already leveraging these platforms for superior results.

03 Implement Continuous Learning AI Models

Stay relevant by adopting AI models that evolve with real-time data. Continuous learning capabilities ensure that your AI-driven decisions are always up-to-date and effective, giving you the agility to thrive in fast-paced markets.


References:
  • McKinsey & Company: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai

  • PayPal Case Study: [https://aerospike.com/blog/ai-real-time-decisions/#:~:text=Artificial intelligence (AI) has redefined,decision-making is increasingly pivotal](https://aerospike.com/blog/ai-real-time-decisions/#:~:text=Artificial%20intelligence%20(AI)%20has%20redefined,decision%2Dmaking%20is%20increasingly%20pivotal)

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