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HomeEXTENSIONSExpert Blog: Democratization of AI - Developer-First, Open Ecosystem...

Expert Blog: Democratization of AI – Developer-First, Open Ecosystem Vision

Artificial intelligence (AI) is a shining example of contemporary technical progress, with the potential to have revolutionary effects on many different business areas. Though the potential seems endless, a number of obstacles prevent its widespread implementation. At Intel, our mission is to make AI’s advantages available to everyone. We do this by prioritizing developers and maintaining an open environment.Adoption of AI depends on its flexibility, whether it is used in edge to data center or client to cloud scenarios. The front-runners in implementing AI, developers, often struggle with issues that prevent deployment from going smoothly. At Intel, our goal is to remove these barriers by implementing a silicon-accelerated, software-defined methodology. Our initiatives are guided by our key beliefs, which are openness, choice, trust, and security.We firmly believe that developers play a critical role in customizing AI to fit a wide range of industry requirements. The key to AI realizing its full potential is accessibility. Limiting developers to certain hardware or software undermines artificial intelligence’s vast potential. As I often emphasize, we must support choice and flexibility in AI use if we want to maximize its social benefit.Safeguarding AI DeploymentIntel is committed to impenetrable security. We provide services such as the Intel Transparent Supply Chain, hardware and firmware integrity support, and secure computing for data protection. We are excited to add the Intel Trust Authority, a full package of security tools and services, to our repertoire of platform security offerings. Its first product, a brand-new attestation service, offers impartial assessments of reliable execution environments, guaranteeing their integrity, compliance with policies, and strong audit trails.Enabling confidential AI is in line with Intel Trust Authority’s main goal. We provide a safe environment for processing sensitive data and intellectual property (IP) in machine-learning applications, especially for Intel Xeon processors, by guaranteeing the dependability of private computing zones.Pioneering an Open Ecosystem for AIAccelerated processing and open ecosystems are essential to Intel’s AI philosophy. Our goal is to provide developers an even playing field. AI has a wide range of applications, from e-commerce to healthcare, which highlights its disruptive potential.However, companies find it difficult to use AI. Problems include expensive proprietary systems, difficult administration of the AI pipeline, and inadequate experience. We have an easy response: Encourage an open ecosystem that makes it easier to distribute software across a range of architectures.Our dedication is further shown by our membership as the first member of the Linux Foundation’s Unified Acceleration Foundation (UXL). This collaboration makes it easier to create applications for cross-platform deployment by promoting an open accelerator software environment. Our contribution to UXL will be Intel’s oneAPI concept, which is intended for easy deployment across a range of computer platforms.Our partnerships provide as further evidence of our open ecosystem philosophy. Performance on Intel architectures is maximized by distributions that are tailored for Intel, thanks to partnerships with major software companies like Red Hat, Canonical, and SUSE.In addition, we present Intel Granulate with Auto Pilot, a technology that promises performance improvement for Kubernetes users, to help developers scale performance. Considerable cost and processing time savings are promised when this product is used in conjunction with Databricks workloads.Finally, increased ubiquity of AI means increased need for strong security. Secure computations on encrypted data are possible thanks to fully homomorphic encryption (FHE). An application-specific integrated circuit (ASIC) accelerator is part of Intel’s plan to help reduce the overhead related to FHE. We’re also looking forward to the beta release of our software tools for encrypted computing, which is a component of the Intel Developer Cloud. This will open up new possibilities for developers by providing an abundance of tools and simulators for FHE coding.In summary, there are many opportunities and difficulties on the AI path. At Intel, we’re dedicated to establishing a transparent, trustworthy, and cooperative route so that artificial intelligence (AI) continues to be a driver for fair innovation.

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