Intel on AI

In this Intel on AI podcast episode: Enterprises today have exploding volumes of data which is growing the scale and complexity of data centers and often result in unplanned IT downtime. This disrupts mission-critical operations, causes loss of data, and impairs application services. Atul Gupta, the Head of Alliances at Digitate, joins the Intel on AI podcast to talk about how the ignio platform h...

In this Intel on AI podcast episode: Creating, maintaining and deploying data models that allow businesses to gain actionable insights can require a lot of time and effort due to the vast amount of data to process. Also, machine learning optimization is a resource-intensive process and can be a challenge to accomplish in an industry where achieving fantastic results at speed is the final goal. Car...

In this Intel on AI podcast episode: Counting and identifying characteristics of crowds can provide organizations with a lot of valuable insights. Yet challenges like image distortion, density, and different camera angles can make analyzing images accurately very challenging. Ganes Kesari, Co-founder and Head of Analytics at Gramener, joins the Intel on AI podcast to discuss how Gramener has creat...

In this Intel on AI podcast episode: Accurately answering clinical and billing questions by reading patient records, which can be hundreds of pages long, is a challenge even for human experts. While traditional rule-based or expression-matching techniques work for simple fields in templated documents, it's harder to infer facts based on implied statements, the absence of certain statements, or a c...

In this Intel on AI podcast episode: Enterprises today are attempting to use Artificial Intelligence (AI) to tackle more and more complex challenges. Yet, many of the AI applications today are unable to cope with optimization and automation challenges in dynamic and complex environments like mobility, logistics, manufacturing and energy. Karim Beguir, Co-Founder & CEO at InstaDeep, joins the Intel...

In this Intel on AI podcast episode: Colorectal cancer is the one of the most common cancers worldwide, and in about half of patients it can spread to the liver and lead to greater complications. Traditional manual examinations of tumors are time-consuming and subjective for radiologists. Yet, using AI for this workload can be complicated because biomarkers, DNA, and genomic data are enormous and...

In this Intel on AI podcast episode: There is a massive amount of insight to be gained by studying brick and mortar customer behavior. Yet capturing, labeling, and analyzing that data can be a very complicated and compute intensive activity. Dan Klein, Chief Data Officer at Valtech, joins the Intel on AI podcast to discuss how Valtech's project VOID (Visual Object Identification) uses Intel® NUCs...

In this Intel on AI podcast episode: There are many individuals (makers) creating artificial intelligence (AI) enabled solutions and many of which may help drive AI to the next level. Yet, there is a challenge for makers when moving from an inexpensive board used for development to large scale production that requires much more specialization and infrastructure. Aling Wu, the AI and IoT Alliance D...

In this Intel on AI podcast episode: As artificial intelligence (AI) technologies rapidly advance many companies would like to take advantage of the potential of AI but can't because they do not have the resources or skills for modeling and engineering. Yuan Shen, Founder and CEO of OneClick. AI, joins Intel on AI to talk about how OneClick enables businesses with no knowledge of AI and coding to...

In this Intel on AI podcast episode: Today athletes are always looking for new ways to analyze and improve their performance through video analysis and sports enthusiasts love to experience sports in new and innovative ways, but 3D capture technology can be difficult to program and expensive to access. Paul Kruszewski, the CEO and Founder of wrnch AI, joins the Intel on AI podcast to talk about th...

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 cumb...

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 a...

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...

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, join...

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 expe...

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...

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...

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...

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 co...

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 conversa...

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...

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 s...

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 c...

In this Intel on AI podcast episode: Vinod Prasad, General Manager & Lead Architect at Wipro Technologies, joins Intel on AI to discuss Wipro medical imaging solutions powered by Intel Architecture and optimizations. He discusses how the medical industry faces many challenges today including the sometimes difficult and time consuming process of diagnosis of patient chest X-rays. Vinod highlights h...

In this Intel on AI podcast episode: FPGA (field-programmable gate array) technology can offer a very high level of flexibility and performance, with low latency. Yet, with software writing thresholds, limited performance optimization, and difficult power control, FPGA solutions can also be challenging to implement. Bob Anderson, General Manager of Sales for Strategic Accounts at Inspur, joins Int...