Intel on AI

Latest Episodes:

Wipro Pipe Sleuth and Optimized Inference with Intel OpenVINO Toolkit – Intel on AI – Episode 27 Sep 08, 2019

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In this Intel on AI podcast episode: Regular inspection of underground water and sewage pipelines is essential in the water utility industry to prioritize maintenance tasks and avoid pipe leakage, breakage, and blockage, which might result in property damage or safety hazards. Traditional inspection with videos being captured by a remotely operated rover and then manually analyzing footage is cumbersome, time-consuming, and error prone.

Sundar Varadarajan, Consulting partner for AI/ML at Wipro Technologies, joins the Intel on AI podcast to discuss how Wipro is using artificial intelligence (AI) to automatically process video scans and identify, grade, and score overall pipe quality. Utilizing the Intel Optimization for TensorFlow and Intel OpenVINO Toolkit, Sundar explains how Wipro enables their customers to perform image inferencing in real time allowing pipeline inspections to be incredibly more efficient, consistent, and accurate. Sundar also talks about how Wipro is working with the Intel AI Builders program to optimize their solutions for the latest Intel technologies and lists several other solutions focused on concrete surface crack detection and medical imaging.

To learn more, visit: wipro.com

Visit Intel AI Builders at: builders.intel.com/ai

Enabling Data-driven Culture with J!Quant and Intel Xeon Scalable Processors – Intel on AI – Episode 26 Aug 29, 2019

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In this Intel on AI podcast episode: Many large enterprises need more accuracy and atomization for planning and purchasing. Yet, when generating and analyzing such a massive volume of data, the algorithms use an enormous amount of memory and processing can be slow, problematic, and often not calculate correctly at all? Dionisio Agourakis, the CEO at J!Quant, joins the Intel on AI podcast to talk about how J!Quant has a diverse portfolio of products involving deep learning (DL) and time-series prediction for stock optimization, demand forecast, and profit forecast to help their customers. He talks about how J!Quant helps enable a data-driven culture within their customers’ decision-making processes in order to stay relevant, profitable and open to new opportunities. Dionisio also discusses a specific use case utilizes the 2nd Generation Intel Xeon Scalable processors to tackle a memory bounded algorithm that a customer had and were able to successfully process the inference using Intel processors and Intel Optimizations for Tensorflow.

To learn more, visit: jquant.com.br builders.intel.com/ai/membership/jquant software.intel.com/en-us/frameworks

Visit Intel AI Builders at: builders.intel.com/ai

Using AI to Build Explainable AI with Intel Optimizations and DarwinAI – Intel on AI – Episode 25 Aug 21, 2019

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In this Intel on AI podcast episode: Deep neural networks (DNNs), which are arguably the most powerful form of AI today, are difficult to build, run, and explain. Such challenges constitute significant roadblocks for their adoption in their enterprise. Ironically, AI itself can be used to assist data scientists and developers to build and evaluate DNNs. Sheldon Fernandez, CEO of DarwinAI, joins us to talk about how DarwinAI is using this ‘AI building AI’ method in their Generative Synthesis platform.

Sheldon explains how their technology reduces the complexity in designing high-performance deep learning solutions and also facilitates explainable deep learning, which allows a user to understand why a network makes the decisions it does. Finally, he describes a recent analysis conducted by the Intel AI Builders team, where Darwin-generated networks coupled with Intel Optimizations for TensorFlow were able to deliver up to 16.3X performance increase on ResNet50 and up to 9.6X on NASNet workloads.

To learn more, visit: darwinai.ca

Visit Intel AI Builders at: builders.intel.com/ai

Vispera Visual Intelligence for Retail with Intel OpenVINO Toolkit – Intel on AI – Episode 24 Aug 07, 2019

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In this Intel on AI podcast episode: Millions of dollars are lost by retailers worldwide each year as a result of out of stock products, overstocking, and shrinkage. Out of stock products also incur other costs, such as the reduced impact of in-store promotions and the time employees use dealing with customer requests about missing items. Ceyhun Burak Akgül, the Co-Founder and CTO of Vispera, joins the Intel on AI podcast to discuss how Vispera image recognition and retail real-time monitoring solutions are enabling businesses to use cameras to track product stocks and customer behavior to analyze and react to better serve the customer and business in real time. He describes the Vispera ShelfSight solution that is powered by the Intel Movidius Neural Compute Stick and optimized using Intel Distribution of OpenVINO Toolkit to allow brick and mortar stores to better compete with the online shopping experiences of today. Ceyhun talks about how the Intel AI Builders program has helped Vispera to better enable and benchmark their systems while helping connect them with potential prospective customers.

To learn more, visit: vispera.co

Visit Intel AI Builders at: builders.intel.com/ai

Cloudera Data Science Workbench and ML Services Driving an AI First World – Intel on AI – Episode 23 Aug 07, 2019

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In this Intel on AI podcast episode: Justin Norman, Director of Data Science Research and Services at Cloudera, joins the Intel on AI podcast to talk about the challenges that enterprises face when executing AI solutions like scalability, compliance, and security. He illustrates how Cloudera’s experience and deep portfolio, including the Cloudera Data Science Workbench, provides the tools and expert guidance needed to help customer’s end-to-end transition into an AI first world. Justin highlights how Cloudera Fast Forward Labs is the foundation to provide strategic vision and expertise to facilitate customers in planning and business strategy when utilizing AI. Justin also describes how Cloudera and Intel has had a long strategic partnership working to provide customers both the cutting-edge hardware and software to meet all of their business needs.

To learn more about the Cloudera Fast Forward Labs offering, the Cloudera Science Workbench tool, or machine learning, visit: cloudera.com/about/machine-learning.html

Visit Intel AI Builders at: builders.intel.com/ai

Real-time Insights with the Avaya Intelligent Conversational Platform – Intel on AI – Episode 22 Jul 30, 2019

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In this Intel on AI podcast episode: Every customer call is an opportunity to gain information about customer preferences and pain points. Yet capturing and structuring call data can be a very slow, time, and compute intensive process. On this episode of Intel on AI, Yishay Carmiel founder of IntelligentWire (an Avaya Company), comes in to talk about the Avaya Conversational Intelligence platform that is helping to transform customer experiences through improving agent productivity by reducing contact center after-call work. The platform instantly captures and analyzes customer conversations, transcribing spoken words into a machine-readable format while providing instant sentiment analysis and flagging important actions to be taken by the service agent. Yishay explains how the Avaya Conversational Intelligence platform utilizes speech recognition, natural language processing (NLP), and data analysis to provide enterprises with invaluable detail. He also describes how the growing number of contact centers utilizing this type of solution is rapidly growing and the need for real-time insights provided by the Avaya Conversational Intelligence platform is imperative in improving customer experience.

To learn more, visit: avaya.com

Visit Intel AI Builders at: builders.intel.com/ai

Unlocking the Power of Data with BigData Corp. and Intel Optimizations – Intel on AI – Episode 21 Jul 17, 2019

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In this Intel on AI podcast episode: When doing big data analysis and developing AI models businesses start by capturing very accurate, well defined, and structured data to be able to train their models. Yet, gathering and structuring all of that information can be very difficult and time consuming. Thoran Rodrigues, Founder and CEO of BigData Corp, joins the Intel on AI Podcast to talk about how BigData Corp. is capturing, aggregating, and structuring information from millions of websites to help companies exploit the full potential of data. He also talks about how the company provides API solutions that allow their customers to extract real-time insight from those large amounts of data for use cases spanning e-commerce, financial services, document authentication, and more. Thoran expresses how important software optimizations are to enable BigData Corp to scale their business and more efficiently use infrastructure resources which translates to fast and consistent services for their customers.

To learn more, visit: bigdatacorp.com.br

Visit Intel AI Builders at: builders.intel.com/ai

Enabling Early Cancer Detection with Huiying Medical and Intel AI – Intel on AI – Episode 20 Jul 17, 2019

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In this Intel on AI podcast episode: There is growing need for digital health solutions to improve accessibility and affordability of medical resources to add value for care providers and improve healthcare outcomes for patients. Xuefeng Zhang, the Chief Marketing Officer of Huiying Medical Technology (HYHY), joins the Intel on AI podcast to talk about how HYHY is working with Intel to help bring new digital health solutions to communities in need throughout China. He specifically discusses the Pink Ribbon campaign where Intel’s Data Center Group collaborated with HYHY to apply Intel AI technology to boost the accuracy and speed of breast cancer detection. This project helped enable many healthcare providers across China improve their time and accuracy of breast cancer diagnoses. Xuefeng also illustrates how the Intel Optimization for Tensorflow and the Intel Distribution of OpenVINO toolkit has helped HYHY achieve incredible performance for their lung nodule computerized tomography (CT) scan analysis solution. This has enabled hundreds of hospitals across China to utilize this impactful AI solution on their existing hardware.

You can learn more about the Intel AI Builders member HYHY by visiting: builders.intel.com/ai/membership/huiying-medical en.huiyihuiying.com/

Visit Intel AI Builders at: builders.intel.com/ai

Dell EMC Ready Solutions for AI Accelerating Insights with Intel Nauta – Intel on AI – Episode 19 Jul 08, 2019

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In this Intel on AI podcast episode: Phil Hummel, Senior Principal Engineer at Dell EMC, joins the Intel on AI Podcast to talk about the new Dell EMC Ready Solution for AI with Intel featuring Nauta. He illustrates how enterprises today want to take advantage of AI to leverage massive amounts of data to help differentiate their business. Yet, deploying AI solutions can often be very complex and costly to integrate into an existing infrastructure. Phil describes how Dell EMC Ready Solutions for AI provide a simplified path to AI-powered applications and greater TCO with an easy-to-set-up solution. The recently announced Ready Solution, Deep Learning with Intel, is powered by Dell EMC servers and networking, new 2nd Generation Intel Xeon Scalable processors, and Nauta, Intel’s recently released open source platform for distributed deep learning training. Phil tells us how this new solution can be a game changer for many different use cases and help enterprises get a leg up when deploying AI.

To learn more, visit: DellEMC.com/ReadyForAI

Visit Intel AI Builders at: builders.intel.com/ai

Avaamo Conversational AI Helping Computers Understand Humans – Intel on AI – Episode 18 Jun 26, 2019

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In this Intel on AI podcast episode: Enterprises want to deploy conversational virtual assistants but often the technology to do the necessary natural language processing (NLP), graphing for knowledge compilation, and ingestion can be very complex and create a barrier for adoption. Abhi Sharma, a Machine Learning Engineer at Avaamo, joins the Intel on AI Podcast to describe how the Avaamo conversational AI platform enables enterprises to easily deploy high-impact conversational assistants in many different industries and verticals. He shows how Avaamo helps enterprises avoid the traditional cold start program — and because the platform is optimized for Intel Xeon Scalable processors, businesses can achieve high-performance at scale with the existing architecture they already have. Abhi also illustrates how many of the libraries and frameworks that the Avaamo solution is built upon are so fine-tuned to work on Intel Architecture that Avaamo sees incredible performance when running their AI on Intel hardware.

To learn more, visit: avaamo.ai

Visit Intel AI Builders at: builders.intel.com/ai

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