1. Why are AI-native development platforms important to businesses?
Businesses value AI-native platforms because they enable the creation of applications that automatically learn and adapt to new information. Instead of requiring developers to explicitly program all of the rules for each application (i.e., an application programmed with specific instructions), developers can create applications that learn to adapt to their environment. The result is that developers will save time and cost, and develop solutions to business problems much more quickly than in the past.
2. What is the difference between Confidential Computing and normal data security?
The primary difference between Confidential Computing and traditional data security lies in how data is protected as it moves from one place to another. Traditional data security protects data while it is stored or being transferred over a network. Confidential Computing also includes data protection while the data is being processed. Therefore, companies can run sensitive or confidential workloads on public cloud providers without having to expose these workloads to the risk of being compromised (or stolen). Some industries that could benefit from Confidential Computing to run sensitive workloads include finance and healthcare.
3. How will Quantum Computing influence cybersecurity over the next several years?
Quantum Computers could ultimately render many of the encryption systems used today obsolete. For this reason, companies are beginning to transition their respective encryption systems to be ‘post-quantum’ safe. Beginning to transition to a secure system before the arrival of quantum Systems provides a layer of protection against unauthorized access to encrypted data until quantum Systems become prevalent.
4. What are multi-agent AI systems and how can they be used in business?
Multi-agent AI systems have multiple specialized AI agents working together as a collective digital team. Each of these agents can perform different functions, such as inventory management, customer engagement, and operations management, while collaborating on the same tasks. The collaborative effort of these workforce agents enhances efficiency, decision-making speed, and quality of products and services throughout the company.
5. Why do businesses need digital provenance in an AI-generated world?
Because AI can produce vast amounts of fake images, videos, and documents, many companies rely on it to create a reliable way to establish the legitimacy of their content. Digital provenance provides traceability of the origin and lifecycle of digital content. This traceability enables companies to lessen their exposure to false claims, establish accountability, and verify the authenticity of digital and physical objects within the supply chain.