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Madeline Bell is one of those people who decides what they want and does what it takes to make it happen. She grew up wanting to be a nurse, wanting to work with children and ultimately deciding she wanted to lead. She has achieved all three of these things and so much more. Today Madeline is one of America’s few female hospital CEO’s, leading Children’s Hospital of Philadelphia, the nation’s first hospital devoted exclusively to the care of children. She is one of the 13% of female CEOs in healthcare and she is committed to driving that number upwards, saying, “If we want the face of leadership to change, women have to make it happen.” Madeline always wanted to work in healthcare, though her original plan was to be a nurse. She got her first such role working in a nursing home at age 15 and realized that she wanted to invest her energy in children, where there was more hope for their future. She went to nursing school at Villanova and took her first full time nursing job at Children’s Hospital of Philadelphia in 1983, never knowing she would one day return to as its leader. After returning to school to study organizational dynamics, Madeline took her first hospital administration job at a very entrepreneurial system, Mainline Health, channeling her two entrepreneurial parents. She was ultimately lured back to CHoP as Chief Operating Officer and was elevated to CEO eight years later where she learned how different that job is, particularly when it comes to being the face of the brand. Madeline talks about how her transition to CEO was questioned both because she was a nurse and a woman, but ultimately her success has demonstrated why her background made her particularly effective in her role. She has developed a passion for encouraging other women to seek leadership roles and has her own blog called Heels of Success focused on this topic. She also hosts a podcast, Breaking Through with Madeline Bell, focused on the amazing innovatioons, such as Spark Therapeutics, that emanate from CHoP. While Madeline loves her work and her family, which includes 7 children (!), her real passion is the Philadelphia Eagles, having spent her entire life living in Pennsylvania. We loved having Madeline on Tech Tonics! We are grateful to Manatt Health for sponsoring today’s episode of Tech Tonics.  Manatt Health integrates strategic business consulting, public policy acumen, legal excellence and deep analytics capabilities to better serve the complex needs of clients across America’s healthcare system. Together with it’s parent company, Manatt, Phelps & Phillips, the firm’s multidisciplinary team is dedicated to helping clients across all industries grow and prosper. Heels of Success (Madeline’s blog) Breaking Through with Madeline Bell (Madeline’s podcast)

Maron Kristófferson is the CEO of the Icelandic company aha, an online service for restaurant food and groceries. The company delivers food to customers by car, but had an idea for a project that would show how drones can help business stay competitive. Kristófersson talks about the weather and technical challenges and how the project could pave the way for drone delivers in smart cities and urban areas around the world. Related article: Will Drones Become the Home Delivery Service of Choice? Follow the enterprise cloud tech revolution at The Forecast by Nutanix.

In the first season of the Business Group on Health podcast, we’ll speak with experts and innovators who bring insight and perspective to the most relevant health and well-being issues facing employers today. Topics we’ll explore include immune resilience, how companies can simultaneously deliver purpose and profit, and other trends reshaping work and health.

China’s economic transformation has been among the most significant events in our lifetime, studied in-depth within and outside of China by economists, analysts, sociologists, historians and experts across different fields. In part three of our series with managing director of IDC China, Kitty Fok, we explore how technologies and consumer behaviors are shaping the future. Fok has had her eye on China for 20 years and sees a confluence of major changes. In this segment, she shares insights from her 2020 report, “Impact of COVID-19 on China’s Economy and ICT Market.” Follow the enterprise cloud tech revolution at The Forecast by Nutanix.

In this Intel on AI podcast episode: As wind turbines proliferate and grow in size and complexity, the biggest challenge to Wind Energy is the high cost of Operations and Maintenance. Manual inspection and maintenance is dangerous and expensive. With the advent of drones, gathering maintenance footage has become much easier, but without the use of AI technology, inspecting tons of footage and data is time consuming, expensive, ineffective. One defect can potentially incapacitate an entire turbine, however automation of maintenance can significantly improve the value and cost of wind energy. Alberto Gutierrez Ph.D., Chief Data Scientist at HCL America, joins the Intel on AI podcast to talk about HCL’s deep learning (DL) based wind turbine defect detection solution and how it is helping to drive sustainable energy today. He illustrates how HCL’s solution enables wind energy operators to utilize drone technology to capture images of turbines and use deep neural network (DNN) computer vision algorithm to find potential defects in those turbines. Some of the defects that are often detected include visible defects on blade surfaces like missing teeth in VG (Vortex Generator) or panel and blade edge corrosion. Alberto describes how using AI and drones to address this workload is ultimately a safer and less expensive option that helps make wind energy cheaper and more attractive as an alternative, clean energy source. He also discusses how HCL has collaborated closely with the Intel AI Builders program to optimize their solution’s DL model using the Intel Distribution of OpenVINO toolkit to process video stream, image segmentation and object detection. To learn more, visit: builders.intel.com/ai/membership/hcl Visit Intel AI Builders at: builders.intel.com/ai

In this Intel on AI podcast episode: 4G/ LTE network is a preferred method of information transfer today and is becoming more and more crucial in our extremely connected lives. To keep up with the ever-increasing volume of traffic, the network is constantly changing and becoming more and more complex. Legacy rules-based network automation techniques are not working, and communication service providers need to use predictive health analytics to monitor, predict and optimizing the behavior of 4G/LTE network continuously. Networks need to become ‘intelligent’ and can take care of themselves?. Subhankar Pal, the Assistant Vice President of Research and Innovation at Altran, joins the Intel on AI podcast to discuss how Altran’s NetAnticipate framework is driving state-of-the-art self-learning networks through continuous self-feedback. Subhankar illustrates how Altran’s NetAnticipate uses advanced deep learning (DL) models for channel quality prediction and health analytics of 4G/LTE radio networks. He talks about how the solution involves network behavior prediction using key performance indicators in multi-cell mobility scenarios along with several regression and classification models chained together to achieve its network prediction. Subhankar also describes how the Intel AI Builders team helped with optimization testing of Intel optimized Python and Tensorflow to enable Altran to reduce training time and improve model performance so their customers can use existing Intel based hardware to achieve their network automation. Finally, Subhankar discusses the future of 5G technology and how Altran is enabling the future of LTE networks. To learn more, visit: altran.com Visit Intel AI Builders at: builders.intel.com/ai

Intel Chip Chat – Network Insights audio podcast with Allyson Klein: The rise in mobile data usage, especially streaming video, has driven the evolution of mobile networks toward 5G and Multi-Access Edge Computing (MEC). This evolution paves the way for the vCDN from Qwilt running on OpenNESS. The opportunity and promise of these solutions working together in mobile service provider networks is discussed in this episode. Mark Fisher, VP of Marketing in Business Development for Qwilt joins Intel Chip Chat Network Insights to explore how the growth of mobile data usage and how 5G and Multi-Access Edge Computing (MEC) have caused an evolution in mobile infrastructure. Qwilt’s vCDN uniquely provides mobile content delivery solutions via OpenNESS. Hear why capacity, not speed, is the biggest challenge facing OTT content delivery. Qwilt is a Founding Member, Board Member and Chair of the Open Caching Working Group within the Streaming Video Alliance, an industry forum of over 60 companies within the streaming ecosystem. Over the last four years, Qwilt has helped establish the specifications for Open Caching which is an open standard that defines how in-ISP network edge cache can be used by public and private CDNs and content publishers for content delivery. To learn more about how Qwilt is navigating the evolving mobile landscape, please visit: qwilt.com/the-capacity-gap-is-here Learn more about Intel’s work in network transformation, 5G and edge computing at: networkbuilders.intel.com

As an end-to-end system integrator and solution provider in 5G space, Wipro is developing a set of solutions based on Intel Edge platform OpenNESS. Wipro develops prototypes on traffic management, intelligent smart space and vehicular communication related solutions. Subhas Mondal, Fellow and Chief Architect of 5G at Wipro joins Intel® Chip Chat Network Insights to feature Wipro’s collaboration through Intel on Edge Platform and OpenNESS which offers jointly built solutions in intelligent traffic management, monitoring high-value assets and immersive media applications. In this interview, Mondal addresses MEC and interplay of technologies like AI in 5G architecture. To learn more about 5g and Wipro visit: wipro.com/innovation/5g-at-wipro Listeners interested in learning about Wipro and Edge Computing in a 5G Network can go here: wipro.com/innovation/edge-computing-in-a-5g-network And to experience the BrightTALK webinar – Transforming Experiences in the Media & Entertainment Industry with 5G Edge Architecture — please see: brighttalk.com/webcast/12229/362349 Learn more about Intel’s work in network transformation, 5G and edge computing at: networkbuilders.intel.com

Existing math kernel libraries have lacked portability across heterogeneous platforms—until now. A unifying programming model—and availability of standard library interfaces—enables development of performance-portable libraries among diverse hardware architectures. In this episode, Julia Sukharina, Senior Engineering Manager at Intel, and Mehdi Goli, Principal Software Engineer at Codeplay Software, talk about a collaborative project to make this portability possible, and Mehdi dives into his work to enable the first math library implementation for #oneAPI on Nvidia GPUs. Have a favorite library you want to enable, or want to contribute a proposal for a new math interface to drive standardization across multiple hardware? To get started, visit: github.com/oneAPI-SRC/oneMKL Read/Download the transcript.

Peter Wang, CEO and Co-Founder of Anaconda, explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together. He and David Liu, an AI Solutions Engineer at Intel, talk about the latest advancements in hardware and software and how to make them more accessible to developers, as well as how to bridge the multiple layers of abstraction. They also explore collaboration on building a low-power, high-performance data science stack, democratization of data literacy, and the future of Python in this action-packed discussion between two data science experts. To learn more: AI Analytics Toolkit Intel Distribution for Python Intel Scalable Dataframe Compiler Anaconda Read/Download the transcript.