Podcasts about intel distribution

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: https://www.vistry.ai Follow Jake on Twitter at: https://twitter.com/jakesmithintel

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 […]

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: https://www.mindtree.com/ Follow S. Venkat on LinkedIn at: https://www.linkedin.com/in/venkateswaran-sundareswaran-69a6363 Follow Jake on Twitter at: https://twitter.com/jakesmithintel

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 […]

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 […]

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 […]

Subtle Medical’s Ajit Shankaranarayanan joins host Jake Smith to talk about using deep learning to improve positron emission tomography (PET) scans. Ajit explains how the company's SubtlePET software allows hospitals and imaging centers to improve image quality on their accelerated scan protocols, which centers can choose to do in order to offer an improved and safer patient experience during imaging procedures. He also discusses why Subtle Medical uses the Intel Distribution of OpenVINO Toolkit to accelerate and seamlessly integrate their technology into the existing clinical computing infrastructure across different vendors and what he sees as the future of AI in medical imagining. Follow Subtle Medical on Twitter at: https://twitter.com/subtlemedical Follow Jake on Twitter at: https://twitter.com/jakesmithintel

Accubits’s Shameer Thaha joins host Jake Smith to talk about machine vision and predictive analytics. Shameer explains the use cases for the company’s Emotyx platform, such as real-time crowd analytics, people detection, counting, tracking, emotion detection, health care and more. Shameer goes into detail about the optimizations of the Intel Distribution of OpenVINO, using a single CPU system without GPU support at the edge, and some of Accubits’s projects around the world. Follow Shameer on Twitter at: https://twitter.com/shameerthaha Follow Jake on Twitter at: https://twitter.com/jakesmithintel

In this Intel Conversations in the Cloud audio podcast: Alok Mishra, founder of Wesense, joins host Jake Smith to talk about how the company, in partnership with Wipro, developed Clearhealth—a safety compliance product for COVID-19 in India that combines touch-free attendance, temperature checks, sanitization compliance, and mask protection compliance for offices and retail locations. The two talk about the importance of technology helping solve emerging problems and how Wesense improved inference time using Intel optimized TensorFlow, Intel Distribution of OpenVINO, and Intel Distribution for Python. Follow Wesense on Twitter: twitter.com/wesenseai Follow Jake on Twitter: twitter.com/jakesmithintel

In this Intel Conversations in the Cloud audio podcast: Alok Mishra, founder of Wesense, joins host Jake Smith to talk about how the company, in partnership with Wipro, developed Clearhealth—a safety compliance product for COVID-19 in India that combines touch-free attendance, temperature checks, sanitization compliance, and mask protection compliance for offices and retail locations. The two talk about the importance of technology helping solve emerging problems and how Wesense improved inference time using Intel optimized TensorFlow, Intel Distribution of OpenVINO, and Intel Distribution for Python. Follow Wesense on Twitter: twitter.com/wesenseai Follow Jake on Twitter: twitter.com/jakesmithintel

Alok Mishra, founder of Wesense, joins host Jake Smith to talk about how the company, in partnership with Wipro, developed Clearhealth—a safety compliance product for COVID-19 in India that combines touch-free attendance, temperature checks, sanitization compliance, and mask protection compliance for offices and retail locations. The two talk about the importance of technology helping solve emerging problems and how Wesense improved inference time using Intel optimized TensorFlow, Intel Distribution of OpenVINO, and Intel Distribution for Python. Follow Wesense on Twitter: https://twitter.com/wesenseai Follow Jake on Twitter: https://twitter.com/jakesmithintel

IT Best Practices: Intel factories are using the Intel Distribution of OpenVINO toolkit to streamline deep-learning integration with the factories’ computer vision automatic defect-classification systems. Intel factories have been using computer vision for over a decade to automate defect detection and classification. The factories use TensorFlow as the core open source library to help develop […] The post Streamline Deep-Learning Integration into Defect Classification first appeared on Connected Social Media.

IT Best Practices: Intel factories are using the Intel Distribution of OpenVINO toolkit to streamline deep-learning integration with the factories’ computer vision automatic defect-classification systems. Intel factories have been using computer vision for over a decade to automate defect detection and classification. The factories use TensorFlow as the core open source library to help develop […] The post Streamline Deep-Learning Integration into Defect Classification first appeared on Connected Social Media.

IT Best Practices: Intel factories are using the Intel Distribution of OpenVINO toolkit to streamline deep-learning integration with the factories’ computer vision automatic defect-classification systems. Intel factories have been using computer vision for over a decade to automate defect detection and classification. The factories use TensorFlow as the core open source library to help develop […] The post Streamline Deep-Learning Integration into Defect Classification first appeared on Connected Social Media.

In this Intel on AI podcast episode: The process of diagnosing a patient with chest abnormality is done by radiologists and doctors with a lot of experience and expertise. This involves looking for the presence of foreign bodies, infiltrates, and other information to determine the type of infection so that proper medication can be suggested […]

In this Intel on AI podcast episode: The process of diagnosing a patient with chest abnormality is done by radiologists and doctors with a lot of experience and expertise. This involves looking for the presence of foreign bodies, infiltrates, and other information to determine the type of infection so that proper medication can be suggested […]

Not all advanced computing takes place in data centers. Maxx Garrison, product manager with Logic Supply, talked with Chip Chat about how the Internet of Things (IoT) is evolving and advantages that come with moving compute power to the edge with help from Intel technology. Logic Supply’s sealed systems turn up in demanding settings where contamination is a concern – farms, factories, hospitals, emergency vehicles – close to users and environmental data. As applications get smarter, data is coming from a variety of sources, and the amount is increasing. Sending it to the cloud can be expensive, and transmission can be a liability in decision-critical situations that demand low latency. The ability to gather, analyze, and deliver information quickly makes computing at the edge vital, and also opens complex use cases, like sensor fusion, where visual, thermal, and vibration data from local and remote sensors are combined and run through models. Sensor fusion with edge AI could expand what systems can do autonomously. Garrison sees data, sensors, and inputs continuing to increase, with systems advancing to meet the growing demand for intelligent compute at the edge. Logic Supply’s goal is to make input easy and, whatever the application, scale up seamlessly without rewriting or retraining models. They’re already getting close with the Intel® Distribution of OpenVINO™ toolkit, and they’re adding compute-intensive capabilities to their entire line of edge products, from entry-level devices to the high end, which features 2nd Generation Intel® Xeon® Scalable processors. For more about Logic Supply, visit https://www.logicsupply.com/ or twitter.com/LogicSupply For more about Intel products and technologies, visit https://intel.com. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel, the Intel logo, OpenVINO, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

In this Intel on AI podcast episode: Tens of Millions of patients every year spend countless hours and billions of dollars on medical scans. Also, medical scans like PET (positron emission technology) or MRI (magnetic resonance imaging) scans can take a long time to conduct and can be very uncomfortable for patients. Enhao Gong, Founder […]

This is the moment for AI at the edge. That’s the view of Fabrizio Del Maffeo, Vice President and Managing Director for AAEON Technology Europe. He spoke with Chip Chat about AI trends his company sees emerging worldwide. A leading manufacturer of advanced industrial and embedded computing platforms, AAEON brought intelligence to industrial controls. Today, it supports artificial intelligence and sponsors UP Bridge The Gap*, a user community for established companies starting to use AI. There’s more data and more video at the edge than ever before, says Del Maffeo, and it must be processed at the edge rather than in the cloud because of security, privacy, and bandwidth limitations. Algorithms running in the cloud must run on completely different architectures at the edge. AAEON has embraced Intel technology, particularly the Intel® Distribution of OpenVINO™ toolkit for porting code between platforms, something vital for customers moving from low-cost industrial architecture to high-performance Intel® Xeon® Scalable Processors, including the 2nd Generation family. While porting algorithms from cloud to edge is not yet plug-and-play, Del Maffeo foresees stronger integration between tools at the edge, including tools for cloud, machine learning, and deep learning – like TensorFlow* and CAFFE*. To learn more about AAEON visit aaeon.com. For information about UP Bridge The Gap, go to up-board.org. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel, the Intel logo, OpenVINO, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

Join Domino Data Labs Director of Product Mac Steele on another edition of Intel on AI. Mac illustrates the workflow challenges that many data scientists face today and how Domino’s Data Science Platform enables data science and quantitative research teams to create mature, disciplined, and scalable processes for developing models and algorithms. He also discusses […]

IT Best Practices: Episode 97 – Big data and advanced analytics have become increasingly important to Intel. More and more people and business groups rely on Intel’s big data capabilities to maximize productivity. A recent step in the evolution of big data at the company was the move last year from the Intel Distribution for […]

IT Best Practices: Episode 97 – Big data and advanced analytics have become increasingly important to Intel. More and more people and business groups rely on Intel’s big data capabilities to maximize productivity. A recent step in the evolution of big data at the company was the move last year from the Intel Distribution for […]

IT Best Practices: Intel IT values open-source-based, big data processing using Apache Hadoop software. Last year we migrated from the Intel Distribution for Apache Hadoop software to the Cloudier Enterprise software. Based on our original experience with Apache Hadoop software, Intel IT identified new opportunities to reduce IT costs and extend our business intelligence capabilities. […]

IT Best Practices: Intel IT has adopted the Cloudera Distribution for Apache Hadoop (CDH). The migration team that converted the Intel Distribution to CDH showcased the ease of conversion while using Cloudera’s tools to improve performance, management, and ease of use.