Intel on AI

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

30 Jul 201912min

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

17 Jul 201915min

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

17 Jul 201911min

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

8 Jul 201913min

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

26 Jun 201918min

In this Intel on AI podcast episode: Dr. Jonathan Hall, Scientific Lead at Presagen, joins the Intel on AI podcast to discuss how Presagen is using artificial intelligence to aid clinician embryo selection for in vitro fertilization (IVF) procedures. Presagen’s solution Life Whisperer is a non-invasive cloud based tool that uses AI to analyze images of patient embryos to generate an instant report on the embryo viability. This report enables clinicians to make an incredibly informed decision on which embryos to implant into the IVF patient and has shown to greatly increase the success of IVF procedures. Dr. Hall expresses how important this can be for people who are seeking reproduction assistance through IVF by saving patients time, money, and emotional stress. He also discusses how working with Intel and using a custom version of the Intel Optimization for PyTorch gives the Presagen solution a large speed boost to help make the image analysis even faster. To learn more, visit: presagen.com Visit Intel AI Builders at: builders.intel.com/ai

21 Jun 201917min

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 and CEO of Subtle Medical, joins the Intel on AI podcast to share how SubtlePET technology powered by artificial intelligence is enhancing PET image quality significantly, enabling hospitals to provide faster and more efficient PET exams, and helping patients and health care providers save time and money. He talks about how SubtlePET technology utilizes the Intel Distribution of OpenVINO Toolkit to accelerate inference workloads and enables their technology to seamlessly integrate with the existing infrastructure that many hospitals already use. SubtlePET recently received FDA 510k clearance and CE Mark approval which is just the beginning for Subtle Medical and their mission to make medical imaging faster, safer, and smarter. To learn more, visit: subtlemedical.com Visit Intel AI Builders at: builders.intel.com/ai

20 Jun 201915min

In this Intel on AI podcast episode: Sumit Sanyal, Founder and Chief Revenue Officer at Minds.ai, joins Intel on AI to discuss the Minds.ai Netrin Molecular Property Predictor (MPP) and how Minds.ai is driving drug discovery with deep learning. He describes how the minds.ai solution enables pharmaceutical companies to replace traditional labor and time intensive wet lab tests instead using graph convolutional deep neural networks (GCNNs) to make predictions about molecules and target proteins that may be useful in medications. This is revolutionizing the drug discovery industry by accelerating and reducing the cost of molecule testing. Sumit also talks about how minds.ai has been utilizing the Intel Math Kernel Library (MKL) and Intel Xeon Scalable processors to help drive their incredibly fast neural network training. He highlights how using Xeon processors is incredibly efficient in comparison to graphics processing units (GPU) and expresses how helpful the Intel MKL has been for Minds.ai. To learn more, visit: minds.ai Visit Intel AI Builders at: builders.intel.com/ai

31 Mai 201919min