Business Reporter and Kigen: The next wave of AI innovation needs your business data

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In an article published on Business Reporter, Vincent Korstanje, the CEO of Kigen, spotlights for business leaders that ongoing investments in cybersecurity at the edge with integrated SIM and eSIM — secure elements that are already the bedrock of cellular IoT — act as essential trust anchors to unlock business data-driven innovation on AI, and plan long-term success for AI adoption.

Key facts:

  • Given the current pace of companies working on improving AI models, developers could run out of data between 2026 to 2032, according to a study released in June 2024 by the research group Epoch AI.
  • Over the past year, many of the most crucial web sources used for training AI models have restricted the use of their data, according to a study published in July 2024 by the Data Provenance Initiative, an M.I.T.-led research group.
  • The real breakthrough that will allow humanity to jump to the next S-Curve is data produced at work, declared an article featured in July 2024 by Emergence Capital on Fast Company.
Vincent Korstanje, the CEO of KigenVincent Korstanje, the CEO of Kigen
Image provided by Kigen

Given the current pace of companies working on improving AI models, developers could run out of data between 2026 to 2032, according to a study released in June by the research group Epoch AI To overcome the limitations and hallucinations of generative AI and Large Language Models (LLMs) that underpin them, businesses need more control over their data and guidance to prepare on how they will play in the future evolution of AI models. This is the focus of cybersecurity firm Kigen’s comprehensive guide for business leaders on how to equip their company with ‘cyber smarts for AI.’

Speaking on why security is top of business agenda, Vincent Korstanje said, “In an AI-powered world, security isn’t a feature, it is a necessity”.

Key facts By 2028, its estimated that 50% of AI workloads could be moved to the edge. Only 4% of businesses say that their business data is ready for AI applications. 71% of business executives regard security of their data and IP as top concern for AI strategyKey facts By 2028, its estimated that 50% of AI workloads could be moved to the edge. Only 4% of businesses say that their business data is ready for AI applications. 71% of business executives regard security of their data and IP as top concern for AI strategy
Image provided by Kigen

An immediate starting point is at the secure ‘Edge AI’, i.e. the processing of data locally from your sensors, devices and products directly rather than in centralised LLMs. AI is tailored to a business’s unique needs with data unique to that business within the context of its industry. Sensor-driven data is the most potent way to sense, verify and add to the integrity of the data based on AI inferences. Further, Kigen’s approach, which extends the GSMA IoT SAFE standard to secure enterprise credentials, allows each piece of data to be cryptographically signed and sealed, addressing a better fit to the rising need for data provenance and model explainability.

A refreshing change from the hype and concern around AI, Vincent’s article shows how achieving this is within the means of most companies considering digital transformation. Read the article to learn more about how you can get your business cyber smarts for AI.

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