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IT@Intel: Cloud Containers as a Service – Wins, Trends and Strategies

October 21st, 2022 |
IT@Intel: Cloud Containers as a Service – Wins, Trends and Strategies

Intel embraces Containers as a Service for its enterprise cloud environment to add flexibility, drive new capabilities, accelerate development and increase efficiency.

The rapid expansion of cloud-native environments presents mounting challenges for today’s large digital enterprises, especially in the development, [See the full post…]

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HooBox Using AI to Improve Patient Experience – Conversations in the Cloud – Episode 283

October 20th, 2022 |
HooBox Using AI to Improve Patient Experience – Conversations in the Cloud – Episode 283

Renata Morato, PO & PMO at HooBox, joins host Jake Smith to discuss how HooBox is utilizing AI and Machine Learning to better patient experiences in healthcare settings. She highlights how HooBox’s SADIA platform uses AI to improve many different [See the full post…]

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Aurora and the Convergence of HPC, AI and Big Data Analytics

October 18th, 2022 |
Aurora and the Convergence of HPC, AI and Big Data Analytics

The Argonne Leadership Computing Facility (ALCF) and Intel are working together on Aurora, an Exascale supercomputer. As the ALCF and Intel prepare for Aurora, learn about the convergence of High Performance Computing (HPC), Artificial Intelligence (AI) and big data analytics. [See the full post…]

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Predera Democratizing AI Model Production – Conversation in the Cloud – Episode 282

October 17th, 2022 |
Predera Democratizing AI Model Production – Conversation in the Cloud – Episode 282

Vamshi Ambati, Founder & CEO at Predera, joins host Jake Smith to discuss how Predera is working to democratize AI by making it truly accessible to everyone with companies able to manage AI and not just build it. He highlights [See the full post…]

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Enabling AI solutions from the Desktop to the Cloud

October 14th, 2022 |
Enabling AI solutions from the Desktop to the Cloud

As AI continues to play an ever-increasing role in applications and decision-making, the challenges facing developers of these AI workloads continue to expand higher and higher. Through this talk, gain a deeper understanding of the current landscape and challenges facing [See the full post…]

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Preparing Applications for Aurora in the Exascale Era

Preparing Applications for Aurora in the Exascale Era

Intel, HPE, and Argonne National Lab are collaborating closely to deliver Aurora. Built on Intel’s architecture, Aurora will be Argonne’s first Exascale, high performance computing system. Its performance is expected to exceed exaflops, which is 2 billion billion calculations per [See the full post…]

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Empower Data Analytics Business Users with AI – Conversations in the Cloud – Episode 281

September 28th, 2022 |
Empower Data Analytics Business Users with AI – Conversations in the Cloud – Episode 281

Lorenzo Fornaciari, Vice President of Strategy iGenius joins host Jake Smith to discuss how iGenius is reimagining data analytics and bringing it to the next level with their platform named Crystal. Lorenzo describes how Crystal, auto-classifying business requests in multiple [See the full post…]

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IT@Intel: Autonomous Quality in AI Model Productization: A Journey

September 20th, 2022 |
IT@Intel: Autonomous Quality in AI Model Productization: A Journey

IT Best Practices: Intel IT’s artificial intelligence (AI) group works across Intel to transform critical work, optimize processes, eliminate scalability bottlenecks and generate significant business value (more than USD 1.5B return on investment in 2021). Our efforts unlock the [See the full post…]

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IT@Intel: Accelerated Analytics Drives Breakthroughs in Factory Equipment Availability

September 15th, 2022 |
IT@Intel: Accelerated Analytics Drives Breakthroughs in Factory Equipment Availability

IT Best Practices: An accelerated analytics breakthrough helps quickly identify underutilized factory equipment and deliver data that drives improvements and increases equipment productivity.

For Intel’s complex factory environments, quickly identifying tools that are operating below their optimal capacity and [See the full post…]

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Optimizing Computer Vision with GLAIR – Conversations in the Cloud – Episode 280

September 8th, 2022 |
Optimizing Computer Vision with GLAIR – Conversations in the Cloud – Episode 280

Novan Parmonangan Simanjuntak, Head of Machine Learning and Artificial Intelligence Strategy at GLAIR joins host Jake Smith to discuss how GLAIR worked with Intel to optimize deep learning and inference for their computer vision solution. Novan talks about how the [See the full post…]

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Data-driven surgery with Caresyntax – Conversations in the Cloud – Episode 279

September 1st, 2022 |
Data-driven surgery with Caresyntax – Conversations in the Cloud – Episode 279

In this Intel Conversations in the Cloud audio podcast: Vik Anantha, Chief Product and Strategic Marketing Officer at Caresyntax joins host Jake Smith to discuss how Caresyntax’s data-driven surgery platform is helping make surgeries smarter and safer. Through applying [See the full post…]

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Synthetic DNA & oneAPI :: Revolutionizing the Digital Storage

Synthetic DNA & oneAPI :: Revolutionizing the Digital Storage

The exponential growth of data generation and the need for it’s storage is driving the next phase of innovation in data storage. Scientists are now able to store information as molecules of DNA, which both scalable and accurate. With the [See the full post…]

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No-code Deep Learning Development with DeepEdge – Conversations in the Cloud – Episode 278

No-code Deep Learning Development with DeepEdge – Conversations in the Cloud – Episode 278

Anup Mehta, Co-Founder and CEO of DeepEdge, joins host Jake Smith to discuss DeepEdge’s vision to enable new edge applications, bringing the power of deep learning and computer vision to the hands of the users. He chats about how DeepEdge’s [See the full post…]

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IT@Intel: Scaling Intel’s Data Centers with Software-Defined Networking and Automation

IT@Intel: Scaling Intel’s Data Centers with Software-Defined Networking and Automation

IT Best Practices: As Intel’s business grows, demand for data center network capacity has increased by more than 25% annually. Additionally, business pressures require new capacity to be brought into production within 24 hours. As far back as 2014, [See the full post…]

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IT@Intel: Intel IT’s Agile Journey Toward Scalability and Transformation

IT@Intel: Intel IT’s Agile Journey Toward Scalability and Transformation

IT Best Practices: Large-scale, Agile transformations are extremely challenging for digital enterprises. Every organization’s path is unique and more often than not, failure is part of the process. Intel IT’s Agile journey is no different-attimes oscillating between challenging to [See the full post…]

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IT@Intel: Master Data – Managed!

IT@Intel: Master Data – Managed!

IT Best Practices: Master data is defined by Garner as “the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise.” Intel uses vast amounts of master data every day for many [See the full post…]

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Leveraging AI to Tackle Business Challenges across Industries – Conversations in the Cloud – Episode 277

Leveraging AI to Tackle Business Challenges across Industries – Conversations in the Cloud – Episode 277

In this Intel Conversations in the Cloud audio podcast: Stephen Gold, CMO of SparkCognition, joins host Jake Smith to discuss SparkCognition’s vision of delivering the best AI solutions to address the critical challenges facing organizations across industries around [See the full post…]

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Simplifying AIoT and Driving Digital Transformation with Intel – Conversations in the Cloud – Episode 276

Simplifying AIoT and Driving Digital Transformation with Intel – Conversations in the Cloud – Episode 276

James Cho, VP of Business Development at ThunderSoft, joins host Jake Smith to discuss how Cloud and IoT accelerate digital transformation everywhere – consumer, industrial, automotive, healthcare, government, education – with almost unlimited computing power and connecting every intelligent device [See the full post…]

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SYCL – Empowering Developers in Academia and Enterprise

SYCL – Empowering Developers in Academia and Enterprise

Ever since its introduction in 2014, SYCL has grown in popularity and adoption. It is a royalty-free, cross-platform abstraction layer that enables code for heterogeneous processors, written in a “single-source” style using C++ standards.

The flexibility to deploy across multiple [See the full post…]

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Breaking Barriers Deploying AI at the Edge – Conversations in the Cloud – Episode 275

Breaking Barriers Deploying AI at the Edge – Conversations in the Cloud – Episode 275

Daniel Chang, CEO of ENERZAi, joins host Jake Smith to discuss ENERZAi’s vision of delivering the best AI experience on everything for everyone, and how they are doing this by overcoming the constraints that edge devices have through AI [See the full post…]

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Discovering AI Augmented Intelligence Platforms – Conversations in the Cloud – Episode 274

AI Customer Conversation Analysis – Conversations in the Cloud – Episode 273

Future of AnalyticsOps in Manufacturing – Conversations in the Cloud – Episode 272

Future of AnalyticsOps in Manufacturing – Conversations in the Cloud – Episode 272

In this Intel Conversations in the Cloud audio podcast: Nelson Lee, Head of Partnerships at Synergies joins host Jake Smith to discuss the importance of data science and AI in the manufacturing industry. Nelson talks about how Synergies works [See the full post…]

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AI Digital Fraud Protection – Conversations in the Cloud – Episode 271

AI Digital Fraud Protection – Conversations in the Cloud – Episode 271

In this Intel Conversations in the Cloud audio podcast: Mateus Dalponte from Axur joins host Jake Smith to talk about the importance of digital risk protection and how to mitigate the evolving world of digital fraud. Mateus discusses how [See the full post…]

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Solving for Productivity in Data Science with Modin and AI Optimizations

Solving for Productivity in Data Science with Modin and AI Optimizations

The rapid advancement in machine learning and data science fields have aided data scientists in arriving at meaningful insights. However, it’s not been an easy task to optimize machine learning infrastructures to allow data scientists to focus on their core [See the full post…]

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