MENGENAI PODCAST INI 🔗
The Intel IT podcast channel is a resource of audio, video and IT whitepapers (PDFs) that enable IT professionals to engage with their peers in the Intel IT organization—and with thousands of other IT professionals—so they can gain insights into the tools, methods, strategies and IT best practices that are proving most successful in addressing today's tough IT challenges. Topics include: IT Best Practices, IT Business Value, IT Competitive Advantage, IT Business Agility, IT Continuity, IT Cloud Computing, IT Business Efficiency, Green IT, IT Sustainability, IT Data Center, IT Employee Productivity, IT Information Security, IT Client Technology, IT Efficiency, and IT Innovation.
Hos:
Kekerapan kemas kini:
every 21 days
Purata panjang audio:
18 minutes
Mempunyai penaja
Bahasa Inggeris
Amerika Syarikat
76 episod
sejak 19 Okt 2021
episodic
EPISOD TERKINI 🔗
As the Intel Foundry Facilities organization evolves toward centralized Remote Operations Centers (ROCs), engineers increasingly need to monitor and respond to alerts and alarm events across multiple industrial facilities from a single location. To explore how agentic AI could reduce time-to-res ...
EPISOD SEBELUMNYA 🔗
Intel IT’s IaaS agentic AI platform delivers comprehensive, cross-domain infrastructure management and monitoring across the enterprise IT landscape. A coordinated mesh of specialized AI agents fuses live enterprise telemetry with configuration, incident, and change data, then reasons across liv ...
Intel—now Intel Foundry—has been a leader in industrial automation for decades, long before commercial analytics platforms could meet our highly complex needs. Therefore, we developed many of our own analytics solutions. Since then, the software industry has matured significantly and presents an ...
Intel IT developed a unique framework that treats the digital employee experience (DEX) as a measurable, managed capability rather than an abstract sentiment. We defined what experience means at the point of work, instrumented it with a combination of objective telemetry and employee sentiment, ...
Every enterprise has vast stores of historical data. This data, if mined effectively, can help improve operational efficiency. However, traditional methods of automated analysis, called clustering, rely on manual labeling and lack sufficient granularity to create meaningful results. Our innovati ...
Intel IT runs Intel data center services like a factory, accomplishing change in a disciplined manner and applying breakthrough technologies, solutions, and processes. This enables us to meet Intel’s business requirements while providing our internal customers with effective data center infrastr ...
As AI becomes a mission-critical capability across industries, successful enterprise deployments increasingly depend not just on powerful models, but on the infrastructure, operational frameworks, and expertise required to deliver them reliably and at scale. This white paper offers insights into ...
Two market trends are driving the need for a higher CPU:GPU ratio in AI infrastructure. First, the inferencing market is accelerating. A higher CPU:GPU ratio is required for inferencing compared to training, especially as agentic AI becomes prevalent. Second, Reinforcement Learning is now being ...
Intel IT plays a pivotal role in Intel’s business transformation, especially in our role of driving data quality across both the Foundry and Product domains and maintaining master data. In 2025, we evaluated our data, analytics, and AI (DAAI) maturity level. The evaluation revealed that, while o ...
With agentic AI, Intel IT is pursuing self-optimizing, human-aligned facility intelligence. To keep up with the pace of business, Intel’s Industrial Automation team, working with the Facility Operations team, is helping Intel facilities transition from mere automation to complete autonomy. Agent ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Intel, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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