AI Strategy

Securing AI Models

In our previous AI series, we delved into the realm of adversarial machine learning and introduced a system for classifying AI attacks. In this fourth installment of our AI Series, our focus will shift towards methods to mitigate these attacks. Let’s follow the same structure.. Previously, we categorized AI-related attacks into two main categories: Generative […]

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A Taxonomy of AI Attacks

In this part of the AI series, we will cover the topic of adversarial machine learning and attempt to create a taxonomy of AI attacks. We will also discuss mitigation strategies in Part #4. Q1. What is Adversarial Machine Learning? Adversarial machine learning is a technique employed by threat actors to manipulate machine learning models.

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Good AI, Bad AI

OpenAI introduced a “Preparedness Framework” just before the 2024 holiday season. This framework grants the company’s board of directors the authority to revise decisions made by CEO Sam Altman and the leadership team. It is currently a work in progress, labeled as “beta”, and was developed in response to the events of November 2023 when

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Global AI Regulations

The UK AI Safety Summit, along with G7 and US actions, signalled progress in AI last week. Over 100 attendees from various sectors met at Bletchley Park for the world’s first international AI Safety Summit, exploring the future of AI. Several big tech companies and nations signed a ‘landmark’ voluntary agreement to allow governments, including

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Agentic AI and the Future of Automation

Executive Summary Introduction Business leaders are witnessing a rapid evolution in artificial intelligence (AI) capabilities. What began with simple predictive analytics has advanced through prescriptive and generative AI, and is now entering the era of agentic AI. Unlike earlier forms of AI that mainly analyze data or generate content, agentic AI systems can autonomously make

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AWS re:Invent 2024 Keynote Announcements

At AWS re:Invent 2024, Amazon Web Services (AWS) unveiled a comprehensive suite of advancements across artificial intelligence (AI), cloud computing, data management, and analytics, reinforcing its commitment to innovation and customer-centric solutions. 1. Introduction of ‘Nova’ AI Models AWS expanded its generative AI capabilities by launching the “Nova” series of foundation models: 2. Development of

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Data as a Business: The Core of Modern Business Innovation

Introduction In the digital transformation era, data has evolved from a passive byproduct of business activities to a dynamic, strategic asset. This comprehensive exploration, part of the “Demystifying Enterprise AI Strategy” series, delves into the multifaceted concept of ‘Data as a Business & Data as a Product,’ examining its role as a transformative force in

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Demystifying Enterprise AI Strategy: An In-Depth Series Introduction

Introduction In a world increasingly driven by data, the importance of an astute Enterprise AI Strategy is undeniable. As we stand at the cusp of a new era in business intelligence, the need for comprehensive understanding and application of AI and data science in business has never been more critical. This introductory article marks the

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