The next wave of AI innovation needs your business data

London, UK. July 29. 2024 /EINPresswire.com/- In an article published on Business
Reporter, Vincent Korstanje, CEO of Kigen, spotlights for business leaders that ongoing investments in cybersecurity at the edge with integrated SIM (iSIM) and eSIM– secure elements that are already the bedrock identity management of cellular loT – act as essential trust anchors to unblock business data-driven innovation on AI and plan long-term success for A.l. adoption.

Key facts:

Given the current pace of companies working on improving A.I. models, developers could run out of data between 2026 to 2032, according to a study released in June 2024 by the research group Epoch A.I.

Over the past year, many of the most crucial web sources used for training A.I. 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.

To overcome the limitations and hallucinations of generative A.l. and Large Language Models (LLMs) that underpin them, businesses need more control over their data and guidance to prepare for how they will play in the future evolution of A.l. 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 Al‘.

Speaking on why security is top of the business agenda, Vincent Korstanje said, “In an Al-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 strategy

An immediate starting point is at the secure ‘Edge Al’, i.e. the processing of data locally from your sensors, devices, and products directly rather than in centralized LLMs. A.l. 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 A.l. inferences. Further, Kigen’s approach, which extends the GSMA loT 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 A.I., Vincent’s article shows how achieving this is within the means of most companies considering digital transformation. Read the full report on cyber smarts for A.I. on kigen.com.

Read the full release on EIN Presswire.

See coverage of Vincent’s article in the premium French business newspaper Le Figaro.