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Intel

Intel consistently challenges the laws of physics as it advances chip technology, leading the industry in advances in technology, education, culture, manufacturing and social responsibility. From behind-the-scenes looks into building the latest chips to breaking news updates on the products that will take advantage of the newest advances in chip technology, find out directly from the experts at Intel.

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Intel consistently challenges the laws of physics as it advances chip technology, leading the industry in advances in technology, education, culture, manufacturing and social responsibility. From behind-the-scenes looks into building the latest chips to breaking news updates on the products that will take advantage of the newest advances in chip technology, find out directly from the experts at Intel.

AI Automation in the Restaurant Industry – Conversations in the Cloud – Episode 269

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In this Intel Conversations in the Cloud audio podcast: Atif Kureishy, founder and CEO of Vistry, joins host Jake Smith to talk about deploying restaurant automation technology improve quality of service. Atif goes into detail about Vistry’s Discrn platform, why the company extended Intel’s edge insight for industrial software architecture to optimize workloads, and how his team uses the Intel Distribution of OpenVINO for faster insights and increased performance.

For more information visit:
vistry.ai

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Jan 06 2022

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IT@Intel: Wi-Fi 6–The Advantages Are Real

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IT Best Practices: Intel IT tests Wi-Fi 6 in an actual office environment during COVID lockdown, proving enhanced performance under challenging, real-world scenarios and delivering important insights for successful deployments.

Wi-Fi 6 may be the ideal gateway toward realization of an enterprise-wide wireless infrastructure. With many of our office spaces temporarily vacated due to the COVID pandemic, we had the unique opportunity to test this latest Wi-Fi standard in a real office environment using laptops equipped with Intel Wi-Fi 6E (AX210) network cards.

We partnered with Intel’s Client Computing Group to conduct a series of tests within these spaces. The team systematically stressed the network with scenarios relevant to today’s working environments, including an increased number of connected devices and real-time collaboration applications. We varied user counts, roaming settings, channel configurations and more to benchmark the performance of each configuration.

Our test results demonstrated that a Wi-Fi 6 upgrade can provide the following advantages for a dense enterprise wireless local area network (WLAN):
• The ability to increase the number of users and devices per access point (AP), reducing deployment costs
• Enhanced support for an increasing number of devices with existing deployment densities
• Improved high-density performance with less interference, fewer dropped connections and more efficient packet transmission
• Faster data throughput
• Consistent service and improved reliability

For more information about Wi-Fi 6, see:
IT@Intel: Building a Faster, More Secure Enterprise Network with Wi-Fi 6

Dec 21 2021

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Building Tailored AI Solutions – Conversations in the Cloud – Episode 268

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In this Intel Conversations in the Cloud audio podcast: Nico Holmberg from Silo AI joins host Jake Smith to talk about building tailored AI solutions for a variety of industries. Nico goes into detail about how Intel and Silo AI are working together on real-time computer vision for quality control in industrial manufacturing. Nico also talks about why Silo AI uses a broad number of Intel software and hardware components in order to achieve the performance and flexibility their AI lab needs to build a variety of solutions for their customers. Jake and Nico end the episode talking about the future of AI research and development.

For more information, visit:
silo.ai

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Dec 16 2021

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IT@Intel: Data Center Strategy Leading Intel’s Business Transformation

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IT Best Practices: Intel IT runs Intel data center services like a factory, affecting change in a disciplined manner and applying breakthrough technologies, solutions and processes. This enables us to optimally meet Intel’s business requirements while providing our internal customers with effective data center infrastructure capabilities and innovative business services. Building on previous investments and techniques, our data center strategy has generated savings exceeding USD 4.8 billion from 2010 to 2020.

We are constantly improving our data center strategy to continue our data center transformation. Using disruptive server, storage, network, infrastructure software and data center facility technologies can lead to unprecedented quality-of-service levels and reduction in total cost of ownership (TCO) for business applications. They also enable us to continue to improve IT operational efficiency and be environmentally responsible.

Dec 16 2021

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Using AI for Specialized Video Analytics – Conversations in the Cloud – Episode 267

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In this Intel Conversations in the Cloud audio podcast: Erik Landolsi, CTO of Irisity, joins host Jake Smith to talk about using AI for video analytics. Erik talks about the challenges of connecting and processing immense amounts of video data, why Irisity anonymizes certain details based on where cameras are installed, and what the recent acquisition of AgentVi means for the future of specialized video analytics.

For more information, visit:
irisity.com

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Dec 14 2021

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Reducing Compute Resources in Neural Networks – Conversations in the Cloud – Episode 266

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In this Intel Conversations in the Cloud audio podcast: Helen Kim from MaxLinear (previously NanoSemi, Inc.) joins host Jake Smith to talk about reducing compute resources to achieve target accuracies in deep neural networks. Helen goes into detail about MaxLinear’s Augmented Neuron technology, which mathematically augments neural networks to reduce memory usage and latency. Jake and Helen discuss how Intel’s oneDNN and other tools are making AI advancements easier for partners and how the future of 5G will impact the larger industry.

For more information, visit:
nanosemitech.com/benchmarks-show-maxlinears-augmented-neuron-reduces-resnet50-cost-by-2x

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Dec 09 2021

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Customer Service in the Era of Digital Transformation – Conversations in the Cloud – Episode 265

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In this Intel Conversations in the Cloud audio podcast: S. Venkat from MindTree joins host Jake Smith to talk about digital customer service, specifically the company’s MindTree Cognitive Contact Center, which combines existing call center infrastructure with new technology. The two discuss how MindTree worked with the Intel Distribution of Python along with SigOpt (a recent Intel acquisition) for hyperparameter tuning to reach necessary accuracy and performance benchmarks.

For more information, visit:
mindtree.com

Follow S. Venkat on LinkedIn at:
linkedin.com/in/venkateswaran-sundareswaran-69a6363

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Dec 07 2021

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The Future of Serverless AI – Conversations in the Cloud – Episode 264

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In this Intel Conversations in the Cloud audio podcast: Arijit Sengupta, founder and CEO of Aible, joins host Jake Smith to talk about the difference between the promise of AI and actual results. Arijit talks about helping develop BeyondCore, which was acquired by Salesforce, his book AI is a Waste of Money, the current unsustainable costs of creating complex models, and why Aible takes a “serverless-first” approach to AI. He also goes into detail about working with Intel on optimizations and benchmarking for necessary lower energy costs. Jake and Arijit close the episode discussing algorithm fairness, data privacy, and the personalized AI of the future.

Follow Arijit on Twitter at:
twitter.com/arijit_sg

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Dec 02 2021

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Leveraging Conversational AI to improve Customer Experience – Conversations in the Cloud – Episode 263

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In this Intel Conversations in the Cloud audio podcast: Nitin Somalaraju from Tech Mahindra joins host Jake Smith to talk about the company’s Speech Analytics platform named Sayint, which uses cutting-edge artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to uncover meaningful insights from customer conversations. Nitin talks about why regional localization and privacy issues are still challenging to overcome when deploying voicebots and how Intel technology has helped the Tech Mahindra team.

For more information, visit:
sayint.ai

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Nov 18 2021

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Using AI for Digital Risk Protection – Conversation in the Cloud – Episode 262

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In this Intel Conversations in the Cloud audio podcast: James Carnall from ZeroFOX joins host Jake Smith to talk about AI-powered digital risk protection across the internet, including text, images and video, to identify threats ranging from deep fakes and fraud to potential cyberattacks. James explains why the ZeroFOX team worked directly with Intel for over a year to optimize their processes, such as improving inference performance with OpenVINO. James and Jake talk about how the rising volume of disinformation can have a negative financial impact on companies of all kinds and explain the limitations of relying on biometrics to thwart theft.

For more information, visit: builders.intel.com/docs/aibuilders/zerofox-uses-intel-ai-technologies-to-protect-businesses-against-targeted-social-and-digital-attacks.pdf

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Nov 11 2021

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How Open Source Transformers Are Accelerating AI – Conversations in the Cloud – Episode 261

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In this Intel Conversations in the Cloud audio podcast: Jeff Boudier from Hugging Face joins host Jake Smith to talk about the company’s open source machine learning transformers (also known as “pytorch-pretrained-bert”) library. Jeff talks about how transformers have accelerated the proliferation of natural language process (NLP) models and their future use in objection detection and other machine learning tasks. He goes into detail about Optimum—an open source library to train and run models on specific hardware, like Intel Xeon CPUs, and the benefits of the Intel Neural Compressor, which is designed to help deploy low-precision inference solutions. Jeff also announces Hugging Face’s new Infinity solution that integrates the inference pipeline to achieve results in milliseconds wherever Docker containers can be deployed.

For more information, visit:
hf.co

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Nov 04 2021

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Building Common Standards for Python Data APIs

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Adoption of Python has been enormous over the last decade. Why? It’s easy to use, accessible, versatile and can be used for AI, machine learning, data analytics, data visualization, and all types of science. Tune into how 3 experts are involved in building common standards for Python data APIs that can help users use a large collection of libraries to develop high-performance code without limitations on adding exotic features. Regarding the huge growth of custom libraries, “it was more a social problem than a technical problem…we should avoid writing more code. Writing yet another library is very likely not going to be the answer.” The Python Data API Consortium was organized to bring people together and solve a fundamental problem to deliver a common standard. Listen in. [26:32]

Guests:
Travis Oliphant, Quansight’s CEO and the creator of SciPy, NumPy, and Numba; founder/director of Anaconda, and founder of NumFOCUS
Ralf Gommers, co-director of Quansight Labs and director of the Python Data API Standards consortium
Areg Melik-Adamyan, principal engineer and engineering manager at Intel

To learn more
Python Data API Consortium (data-apis.org)
Intel oneAPI AI Analytics Toolkit

Nov 01 2021

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AI-Assisted Annotation – Conversations in the Cloud – Episode 260

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Helen Wang from Magic Data joins host Jake Smith to talk about the company’s work in automatic speech recognition (ASR), text-to-speech (TTS), and natural language processing (NLP). Helen discusses the scalable capabilities Magic Data offers customers worldwide and goes into detail about how Intel engineers worked with Magic Data developers to optimize OpenVINO (often associated with visual processing) for the company’s language processing solutions. She also talks about the benefits of MagicHub: an open-source community with over 40 datasets available in dozens of languages to assist AI developers in model training.

For more information, visit:
magichub.com

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Oct 28 2021

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The Future of Cloud Native Communications – Conversations in the Cloud – Episode 259

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Sanjay Prasad from Metaswitch (a Microsoft company) joins host Jake Smith to talk about why Metaswitch collaborates with Intel to improve network function virtualization, media transcoding, throughput and more. Sanjay talks about some of the performance gains his team has seen over the last ten years from gen-over-gen processor advancement and discusses the future communication service providers can expect, including the rise of microservices.

Follow Metaswitch on Twitter at:
twitter.com/metaswitch

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Oct 19 2021

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Path to Cloud: Exploring Cloud Security

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IT Best Practices: In this second video of the Path to Cloud series Phil Vokins, Cloud Services Director, Intel Americas, is joined by Shachaf Levi, Intel IT Cloud Security Architect and Sridhar Mahankali, Intel IT Principal Engineer, Network Security where they shed light on the biggest concern for companies moving to the cloud – security. In this video the team discusses the key aspects and considerations of cloud security including:

Biggest Risks in Cloud – 2:00
Cloud vs. On-Prem Risks – 5:20
Cloud Security Frameworks – 10:15
Intel’s IT Recommendation – 12:18

To download the white papers and get notified of the next episode release, please register here:
plan.seek.intel.com/CA-Cloud-TV-YouTube_Reg

Oct 19 2021

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The Future of Robotic Process Automation – Conversation in the Cloud – Episode 257

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In this Intel Conversations in the Cloud audio podcast: Soundar Rajan from Perpetuuiti Technosoft Services joins host Jake Smith to talk about software automation solutions for IT and business operations. Soundar goes into detail about Robotic Process Automation (RPA) with the company’s Av3ar platform—a human-like AI+RPA platform of intelligent BoTs (or iBoTs) which can absorb, deconstruct, and use information as a human would to resolve problems. He also explains how OpenVINO is helping the company create new solutions and increase customer performance.

More information available at:
ptechnosoft.com

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Sep 23 2021

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IT@Intel: Push-button Productization of AI Models

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IT Best Practices: Intel IT has a large AI group that 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 2020). Our efforts unlock the power of data to make Intel’s business processes smarter, faster and more innovative, from product design to manufacturing to sales and pricing.

To enable this operation at scale, we developed Microraptor: a set of MLOps capabilities that are reused in all of our AI platforms. Microraptor enables world-class MLOps to accelerate and automate the development, deployment and maintenance of machine learning models. Our approach to model productization avoids the typical logistical hurdles that often prevent other companies’ AI projects from reaching production. Our MLOps methodology enables us to deploy AI models to production at scale through continuous integration/continuous delivery, automation, reuse of building blocks and business process integration.

Our MLOps methodology provides many advantages:

  • The AI platforms abstract deployment details and business process integration so that data scientists can concentrate on model development.
  • We can deploy a new model in less than half an hour, compared to days or weeks without MLOps.
  • Our systematic quality metrics minimize the cost and effort required to maintain the hundreds of models we have in production.

Sep 17 2021

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Challenges and Opportunities in Open RAN – Conversations in the Cloud – Episode 256

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In this Intel Conversations in the Cloud audio podcast: Neil Coleman from Amdocs joins host Jake Smith to talk about why it’s critical for communication service providers to move to Open Radio Access Networks (Open RAN). Neil addresses some of the adoption concerns and why companies are looking to prioritize products over projects. He goes on to describe how Amdocs SmartRAN is targeted at minimizing the challenges of deploying, managing, and optimizing Open RAN networks.

Follow Amdocs on Twitter at:
twitter.com/Amdocs

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Sep 09 2021

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IT@Intel: Green Computing at Scale

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IT Best Practices: Intel’s innovative disaggregated server architecture and data center facilities design and operation reduce e-waste and increase energy efficiency—helping to protect the environment and produce significant cost savings.

Do what’s right for the business and what’s right for the environment. That is the dual goal behind many of Intel IT’s data center transformation initiatives. We have found that these goals are often closely linked: reducing total cost of ownership (TCO) can help us also reduce total cost to the environment (TCE).

Adopting disaggregated servers enables us to refresh only certain server components like the CPU and the memory without refreshing other components like networking, drives, fans, power supplies, cables or chassis. This approach to server refresh has not only provided a 44 percent cost savings, but has significantly reduced e-waste as well.

Our innovative approach to data center cooling reduces our electrical costs and contributes to one of the world’s highest data center efficiency ratings—a power usage effectiveness (PUE) ratio of 1.06. These same approaches also have reduced fresh water usage by up to 61 million gallons per year. In addition, using fuel cells as a dual source of energy has allowed us to eliminate equipment such as power backup systems, which simplifies infrastructure design and lowers data center construction costs, and also reduces our carbon footprint.

Through disruptive technologies, innovative data center design, optimization of data center operational processes and higher resource utilization, we continue to look for ways to transform our data centers to better meet Intel’s—and the world’s—needs.

Sep 09 2021

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Eliminating Downtime and Data Loss – Conversations in the Cloud – Episode 255

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In this Intel Conversations in the Cloud audio podcast: ZeroDown Software’s Alan Gin and Keith Fukuhara join host Jake Smith to talk about the evolution of recovery time over the last twenty years. The three discuss how several advancements culminated in the creation of the Ultra High Availability solution, eliminating downtime and data loss. Alan talks about why he sees Intel more as a software company than a hardware company, and what this means for development projects. Keith talks about why transaction-level audits are necessary to solve business challenges. The pair discuss various use cases they’ve seen in the industry over the years and what the future of data center recovery time and open source technology might be.

Learn more at:
zerodownsoftware.com

Follow Jake on Twitter at:
twitter.com/jakesmithintel

Sep 02 2021

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SEAGATE M89

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