For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2021/02/opportunities-for-vision-in-healthcare-a-presentation-from-woodside-capital/
Vini Jolly, Executive Director at Woodside Capital, presents the “Vision Opportunities in Healthcare” tutorial at the September 2020 Embedded Vision Summit.
With advances in computer vision, AI/ML and data analytics, the pace of technological change continues to accelerate. Nowhere has the confluence of those technologies been more impactful than in Digital Health. Healthcare is an almost $4 trillion industry and continues to grow every year. But by some estimates about 25% of the overall healthcare spend ($1T!) is wasted.
This presentation not only examines the investment trends in digital health, but also dives into the specific verticals and domains where startups are leveraging computer vision and AI to disrupt healthcare by addressing efficiency, efficacy and hopefully affordability.
IBM Watson Health: How cognitive technologies have begun transforming clinica...Maged N. Kamel Boulos
Cite as: Kamel Boulos MN. IBM Watson Health: how cognitive technologies have begun transforming clinical medicine and healthcare (Oral session IV – Patient safety tools, Thursday 19 May 2016, 15:45-16:45, Hotel Puijonsarvi, Kuopio). In: Proceedings of the 4th Nordic Conference on Research in Patient Safety and Quality in Healthcare (NSQH2016), Kuopio, Finland, 18-20 May 2016 (organised by University of Eastern Finland), p.29. URL: http://www.uef.fi/NSQH2016 (In: Nykanen I (ed.). The 4th Nordic Conference on Research in Patient Safety and Quality in Healthcare. Kuopio, Finland, May 18-20, 2016. Program and Abstracts. Publications of the University of Eastern Finland. Report and Studies in Health Sciences 21. 2016, p.29 (of 119 p.). ISBN: 978-952-61-2130-7 (nid.), ISSNL: 1798-5722, ISSN: 1798-5730.)
IBM Watson health: how cognitive technologies have begun transforming clinical medicine and healthcare
Maged N Kamel Boulos
ABSTRACT
Background: IBM Watson Health (http://www.ibm.com/smarterplanet/us/en/ibmwatson/health/) belongs to a new generation of smart cognitive computing technologies (a type of artificial intelligence) that are poised to transform the way healthcare is delivered, and to vastly improve clinical outcomes, quality of care and patient safety.
Objectives: Our goal was to collect and document the huge potential of a range of emerging and exemplary uses of IBM Watson in healthcare in both developed and developing country settings.
Methods: A survey of current peer reviewed and grey literature has been conducted, looking for reports and case studies involving the use of IBM Watson in different health and healthcare applications.
Results, conclusions and clinical implications: With its ability to make sense of unstructured medical information by analysing the meaning and context of natural language, and uncovering important knowledge buried within large volumes of data and information, including medical images, IBM Watson is exceptionally well suited for clinical and healthcare decision support, where there are often elements of ambiguity and uncertainty. It has been (or is currently being) successfully deployed in many developed countries in the West, as well as in developing countries, such as India and South Africa. IBM Watson unlocks a complex case by acquiring information from multiple sources, e.g., accessing the electronic patient record, then parsing all related medical evidence at up to 60 million pages per second. After processing all of this information, Watson offers relevant and prioritised suggestions to the decision-maker, e.g., helping clinicians identify the best diagnosis and treatment options in complex oncology cases, and providing hospital managers with new operational insights. The ultimate goals are to reduce cost, medical errors, mortality rates, and help improve patients' quality of life.
Existing model uses structured data to predict the patients of either high risk or low risk.
But for a complex disease, structured data is not a good way to describe the disease.
We propose a new convolutional neural network (CNN)-based multimodal disease risk prediction algorithm using structured and unstructured data from hospital.
In this paper, we mainly focus on the risk prediction of cerebral infarction.
Abstract. Enterprise adoption of AI/ML services has significantly accelerated in the last few years. However, the majority of ML models are still developed with the goal of solving a single task, e.g., predictiction, classification. In this talk, Debmalya Biswas will present the emerging paradigm of Compositional AI, also known as, Compositional Learning. Compositional AI envisions seamless composition of existing AI/ML services, to provide a new (composite) AI/ML service, capable of addressing complex multi-domain use-cases. In an enterprise context, this enables reuse, agility, and efficiency in development and maintenance efforts.
Insurers expect artificial intelligence to completely transform the way they run their businesses.
Read more: https://www.accenture.com/in-en/insight-ai-redefines-insurance
The healthcare ecosystem is witnessing a huge transformation lately; propelled by improved care and patient outcomes as the critical drivers. Briefly put, organizations (providers, hospitals and all) are leveraging the potential of Internet of Things, to empower their people, patients to take control of their own health. In a subtle way, redefining the way people, sensors, apps, devices and wearables can interact with each other in a secure environment, and take the healthcare experience to the next level.
A recent survey by Forrester Consulting suggests 90% of the Healthcare IT departments are ready to adapt IoT based solutions. And, 52% of the surveyed respondents are already incorporating IoT technology.
With IoT as a powerful enabler, innovative apps and wearables are taking strong roots in the healthcare ecosystem; health bands, fitness devices, calorie meters, heart rate monitors, to name a few. Such healthcare devices are used by physicians to record patient’s biometric information as they deliver exceptional patient monitoring and management results on-the-go.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
In this webinar, we will be covering what exactly an SaMDs, or Software as a Medical Device, and go over some examples with Artificial Intelligence. We will also look at Artificial Intelligence and Machine Learning versus the traditional software. Next, we will go into the regulatory framework for these types of software, then explain how EMMA International can help you get your SaMD to market.
IBM Watson Health: How cognitive technologies have begun transforming clinica...Maged N. Kamel Boulos
Cite as: Kamel Boulos MN. IBM Watson Health: how cognitive technologies have begun transforming clinical medicine and healthcare (Oral session IV – Patient safety tools, Thursday 19 May 2016, 15:45-16:45, Hotel Puijonsarvi, Kuopio). In: Proceedings of the 4th Nordic Conference on Research in Patient Safety and Quality in Healthcare (NSQH2016), Kuopio, Finland, 18-20 May 2016 (organised by University of Eastern Finland), p.29. URL: http://www.uef.fi/NSQH2016 (In: Nykanen I (ed.). The 4th Nordic Conference on Research in Patient Safety and Quality in Healthcare. Kuopio, Finland, May 18-20, 2016. Program and Abstracts. Publications of the University of Eastern Finland. Report and Studies in Health Sciences 21. 2016, p.29 (of 119 p.). ISBN: 978-952-61-2130-7 (nid.), ISSNL: 1798-5722, ISSN: 1798-5730.)
IBM Watson health: how cognitive technologies have begun transforming clinical medicine and healthcare
Maged N Kamel Boulos
ABSTRACT
Background: IBM Watson Health (http://www.ibm.com/smarterplanet/us/en/ibmwatson/health/) belongs to a new generation of smart cognitive computing technologies (a type of artificial intelligence) that are poised to transform the way healthcare is delivered, and to vastly improve clinical outcomes, quality of care and patient safety.
Objectives: Our goal was to collect and document the huge potential of a range of emerging and exemplary uses of IBM Watson in healthcare in both developed and developing country settings.
Methods: A survey of current peer reviewed and grey literature has been conducted, looking for reports and case studies involving the use of IBM Watson in different health and healthcare applications.
Results, conclusions and clinical implications: With its ability to make sense of unstructured medical information by analysing the meaning and context of natural language, and uncovering important knowledge buried within large volumes of data and information, including medical images, IBM Watson is exceptionally well suited for clinical and healthcare decision support, where there are often elements of ambiguity and uncertainty. It has been (or is currently being) successfully deployed in many developed countries in the West, as well as in developing countries, such as India and South Africa. IBM Watson unlocks a complex case by acquiring information from multiple sources, e.g., accessing the electronic patient record, then parsing all related medical evidence at up to 60 million pages per second. After processing all of this information, Watson offers relevant and prioritised suggestions to the decision-maker, e.g., helping clinicians identify the best diagnosis and treatment options in complex oncology cases, and providing hospital managers with new operational insights. The ultimate goals are to reduce cost, medical errors, mortality rates, and help improve patients' quality of life.
Existing model uses structured data to predict the patients of either high risk or low risk.
But for a complex disease, structured data is not a good way to describe the disease.
We propose a new convolutional neural network (CNN)-based multimodal disease risk prediction algorithm using structured and unstructured data from hospital.
In this paper, we mainly focus on the risk prediction of cerebral infarction.
Abstract. Enterprise adoption of AI/ML services has significantly accelerated in the last few years. However, the majority of ML models are still developed with the goal of solving a single task, e.g., predictiction, classification. In this talk, Debmalya Biswas will present the emerging paradigm of Compositional AI, also known as, Compositional Learning. Compositional AI envisions seamless composition of existing AI/ML services, to provide a new (composite) AI/ML service, capable of addressing complex multi-domain use-cases. In an enterprise context, this enables reuse, agility, and efficiency in development and maintenance efforts.
Insurers expect artificial intelligence to completely transform the way they run their businesses.
Read more: https://www.accenture.com/in-en/insight-ai-redefines-insurance
The healthcare ecosystem is witnessing a huge transformation lately; propelled by improved care and patient outcomes as the critical drivers. Briefly put, organizations (providers, hospitals and all) are leveraging the potential of Internet of Things, to empower their people, patients to take control of their own health. In a subtle way, redefining the way people, sensors, apps, devices and wearables can interact with each other in a secure environment, and take the healthcare experience to the next level.
A recent survey by Forrester Consulting suggests 90% of the Healthcare IT departments are ready to adapt IoT based solutions. And, 52% of the surveyed respondents are already incorporating IoT technology.
With IoT as a powerful enabler, innovative apps and wearables are taking strong roots in the healthcare ecosystem; health bands, fitness devices, calorie meters, heart rate monitors, to name a few. Such healthcare devices are used by physicians to record patient’s biometric information as they deliver exceptional patient monitoring and management results on-the-go.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
In this webinar, we will be covering what exactly an SaMDs, or Software as a Medical Device, and go over some examples with Artificial Intelligence. We will also look at Artificial Intelligence and Machine Learning versus the traditional software. Next, we will go into the regulatory framework for these types of software, then explain how EMMA International can help you get your SaMD to market.
Global Internet of Medical Things (IoMT) Market is estimated to grow from USD 56.23 Billion in 2019 to reach USD 415.35 Billion by 2027, at a CAGR of 28.5 % during the forecast period from 2020-2027.
AI in Healthcare | Future of Smart Hospitals Renee Yao
In this talk, I specifically talk about how NVIDIA healthcare AI software and hardware were used to support healthcare AI startups' innovation. Three startups featured: Caption Health, Artisight, and Hyperfine. Audience: healthcare systems CXOs.
Workshop on "Building Successful Pipelines for Predictive Analytics in Healthcare" delivered by Danielle Belgrave, PhD, Researcher at Microsoft Research, Cambridge, UK.
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Health Equity Investments: Opportunities and Challenges in 2023Health Catalyst
Trudy Sullivan and Dr. Melissa Welch will discuss how to establish mechanisms using data you already have for ongoing health equity evaluation and how to drive data-informed decisions. Trudy Sullivan and Dr. Melissa Welch will discuss how to establish mechanisms using data you already have for ongoing health equity evaluation and how to drive data-informed decisions.
Black Box Global Corporate Presentation - Jul'23Black Box
Black Box Limited is a leading global IT solution integrator and product specialist. It is dedicated to providing excellent digital infrastructure solutions focusing on innovation, expertise, and customer-centricity. The goal is to deliver comprehensive and cutting-edge solutions tailored to meet the unique requirements of the clients.
With a presence on six continents and extensive expertise, we accelerate customer success by combining people, ideas, and technology to address real-world business challenges. Black Box is trusted by its numerous multinational corporations as their strategic solution partner. We anticipate the growing demands for the latest technologies, swiftly solve customer issues, implement reliable processes and superior project management globally, and maintain a sharp focus on customer-centric solutions and product development. With over 45 years of experience, we are fully equipped and well-positioned to shape the digital infrastructure landscape for our esteemed clientele. From designing and deploying AI, IOT, cloud-based solutions, networks, and data centers to implementing secure communication systems and audio-visual solutions, Black Box is dedicated to building the reliable and scalable digital infrastructure that enables our clients to achieve their business objectives.
We are a leading player in KVM and AV technology. Our recent additions to the award-winning Emerald® KVM-over-IP platform offer exceptional user experiences with remote access 24/7. Our latest offering, Emerald® DESKVUE, is a groundbreaking concept in KVM-over-IP that caters to the requirements of modern broadcast, command centers, and gaming environments.
We recognize that the climate challenge is critical and requires collective action. Leveraging our long-term experience in sustainability, we help businesses define their ESG missions and reach higher standards. We are committed to creating sustainability solutions that accelerate ways to address climate change and achieve net-zero transitions. We continue to serve customers, employees, communities, and the environment based on the principles of ESG.
Black Box is a multinational business group with over 3800 world's best-trained consultants in 35 countries. In the fiscal year ending March 31, 2023, we have generated consolidated revenues of over US $780 million. We are listed on the BSE and NSE in India.
At Black Box, we utilize the power of technology to provide mission-critical IT services that drive business impact. We are an employer of choice with strong values and foster a culture of inclusion, belonging, and corporate citizenship.
This is an independent research about Biometric Smart Cards. The presentation cover status, market, forecast, players, and manufacturing process of Biometric Smart Cards.
Responsible AI & Cybersecurity: A tale of two technology risksLiming Zhu
With the broader adoption of digital technologies and AI, organisations face the emerging risks of AI, the unfamiliar, and the intensified risk of cybersecurity, the familiar. AI and cybersecurity are intertwined, but risk silos are often created when they are dealt with at the technology and governance levels. This talk will explore the interactions between responsible AI and cybersecurity risks via industry case studies. It will show how we can break down the risk silos and use emerging trust-enhancing technologies, architecture and end-to-end software engineering/DevOps practices to connect the two worlds and uplift the risk management posture for both.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/industry-analysis/video-interviews-demos/vision-opportunities-healthcare-presentation-woodside-capit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Rudy Burger, Managing Partner, and Vini Jolly, Executive Director, both of Woodside Capital Partners, deliver the presentation "Vision Opportunities in Healthcare" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Burger and Jolly outline trends and opportunities in computer vision for healthcare applications.
Global Internet of Medical Things (IoMT) Market is estimated to grow from USD 56.23 Billion in 2019 to reach USD 415.35 Billion by 2027, at a CAGR of 28.5 % during the forecast period from 2020-2027.
AI in Healthcare | Future of Smart Hospitals Renee Yao
In this talk, I specifically talk about how NVIDIA healthcare AI software and hardware were used to support healthcare AI startups' innovation. Three startups featured: Caption Health, Artisight, and Hyperfine. Audience: healthcare systems CXOs.
Workshop on "Building Successful Pipelines for Predictive Analytics in Healthcare" delivered by Danielle Belgrave, PhD, Researcher at Microsoft Research, Cambridge, UK.
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Health Equity Investments: Opportunities and Challenges in 2023Health Catalyst
Trudy Sullivan and Dr. Melissa Welch will discuss how to establish mechanisms using data you already have for ongoing health equity evaluation and how to drive data-informed decisions. Trudy Sullivan and Dr. Melissa Welch will discuss how to establish mechanisms using data you already have for ongoing health equity evaluation and how to drive data-informed decisions.
Black Box Global Corporate Presentation - Jul'23Black Box
Black Box Limited is a leading global IT solution integrator and product specialist. It is dedicated to providing excellent digital infrastructure solutions focusing on innovation, expertise, and customer-centricity. The goal is to deliver comprehensive and cutting-edge solutions tailored to meet the unique requirements of the clients.
With a presence on six continents and extensive expertise, we accelerate customer success by combining people, ideas, and technology to address real-world business challenges. Black Box is trusted by its numerous multinational corporations as their strategic solution partner. We anticipate the growing demands for the latest technologies, swiftly solve customer issues, implement reliable processes and superior project management globally, and maintain a sharp focus on customer-centric solutions and product development. With over 45 years of experience, we are fully equipped and well-positioned to shape the digital infrastructure landscape for our esteemed clientele. From designing and deploying AI, IOT, cloud-based solutions, networks, and data centers to implementing secure communication systems and audio-visual solutions, Black Box is dedicated to building the reliable and scalable digital infrastructure that enables our clients to achieve their business objectives.
We are a leading player in KVM and AV technology. Our recent additions to the award-winning Emerald® KVM-over-IP platform offer exceptional user experiences with remote access 24/7. Our latest offering, Emerald® DESKVUE, is a groundbreaking concept in KVM-over-IP that caters to the requirements of modern broadcast, command centers, and gaming environments.
We recognize that the climate challenge is critical and requires collective action. Leveraging our long-term experience in sustainability, we help businesses define their ESG missions and reach higher standards. We are committed to creating sustainability solutions that accelerate ways to address climate change and achieve net-zero transitions. We continue to serve customers, employees, communities, and the environment based on the principles of ESG.
Black Box is a multinational business group with over 3800 world's best-trained consultants in 35 countries. In the fiscal year ending March 31, 2023, we have generated consolidated revenues of over US $780 million. We are listed on the BSE and NSE in India.
At Black Box, we utilize the power of technology to provide mission-critical IT services that drive business impact. We are an employer of choice with strong values and foster a culture of inclusion, belonging, and corporate citizenship.
This is an independent research about Biometric Smart Cards. The presentation cover status, market, forecast, players, and manufacturing process of Biometric Smart Cards.
Responsible AI & Cybersecurity: A tale of two technology risksLiming Zhu
With the broader adoption of digital technologies and AI, organisations face the emerging risks of AI, the unfamiliar, and the intensified risk of cybersecurity, the familiar. AI and cybersecurity are intertwined, but risk silos are often created when they are dealt with at the technology and governance levels. This talk will explore the interactions between responsible AI and cybersecurity risks via industry case studies. It will show how we can break down the risk silos and use emerging trust-enhancing technologies, architecture and end-to-end software engineering/DevOps practices to connect the two worlds and uplift the risk management posture for both.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/industry-analysis/video-interviews-demos/vision-opportunities-healthcare-presentation-woodside-capit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Rudy Burger, Managing Partner, and Vini Jolly, Executive Director, both of Woodside Capital Partners, deliver the presentation "Vision Opportunities in Healthcare" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Burger and Jolly outline trends and opportunities in computer vision for healthcare applications.
MedClerx has been gaining traction for the past year with two major radiology centers in Orange County considering our software to facilitate health information exchange.
Our team is proud to be supported by the UCI Applied Innovation's Wayfinder Incubator.
Digital Healthcare Trends: Transformation Towards Better Care RelationshipKumaraguru Veerasamy
Digital health encompasses digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise. With the increasing adoption of telemedicine, wearable devices, mobile health apps (especially during the recent COVID-19 pandemic) and VR/AR; digital health is poised to take healthcare forward.
Modern Data Management for Modern HealthcareProfisee
In today’s healthcare environment data is either your friend or your enemy; with good data you can deliver high-quality healthcare with bad data you won’t survive and thrive. Master Data Management (MDM) is a key pillar of any data strategy and provides a trusted data foundation for healthcare success. This webinar will show how MDM can provide a trusted data foundation for a wide range of data management initiatives.
iHT2 Health IT Summit Boston 2013 – Scott Lundstrom, Group Vice President Presentation, IDC Health Insights "IT Strategies for an Uncertain Future - Embracing Change and Innovation"
Presentation "IT Strategies for an Uncertain Future - Embracing Change and Innovation"
The widespread changes demanded by reform continue to create angst and opportunities for healthcare providers. Quality, cost and compliance initiatives, changing business models, and new care delivery technologies are all demanding our attention. Uncertainty is high, but the call to action is strong, and there is tremendous pressure to show broadly based progress across the technology portfolio. How can IT and the business move forward on a common plan in these uncertain times? Leading organizations are already building a platform for the future. By focusing on reducing costs, improving quality, and supporting business innovation technology, significant progress can be made to support a broad range of possible post reform business models. By focusing on a core group of enabling technologies health organizations can become better prepared to survive in the post reform market. What are the core key enabling technologies required by any health organization in the future? Where should resource constrained organizations focus their attention?
Healthcare Information Technology (HIT) Market Competitive Research And Preci...subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Healthcare Information Technology (HIT) Market.Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Healthcare Information Technology (HIT) Market. In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.
A Roadmap for Optimizing Clinical Decision SupportHealth Catalyst
Compared to industries such as aerospace and automotive, healthcare lags behind in decision support innovation. Following the aerospace and automotive arenas, healthcare can learn critical lessons about improving its clinical decision support capabilities to help clinicians make more efficient, data-informed decisions:
Achieve widespread digitization: Healthcare must digitize its assets and operations (patient registration, scheduling, encounters, diagnosis, orders, billings, and claims) for effective CDS similarly to how aerospace digitized the aircraft, air traffic control, baggage handling, ticketing, maintenance, and manufacturing.
Build data volume and scope: Healthcare must collect socioeconomic, genomic, patient-reported outcomes, claims data, and more to truly understand the patient at the center of the human health data ecosystem.
No doubt, #healthcare is one of the most promising applications for #AI. This #technology can offer lots of benefits for this sector: it can help Health institutions to cut costs by lowering readmission rates, it can help insurance companies to optimize their risk management techniques, and it can also help doctors find new ways of healing.
Follow the link and learn more: https://indatalabs.com/blog/machine-learning-in-healthcare
It’s 2020 and healthcare is at a crossroads. Will this be the tipping point in the transformation of care or are we in for yet-another decade of radical change and resistance? Here's six key trends that I think are likely to tip the scales and shape the healthcare business model of the new era.
Diagnos Inc. Investor Presentation September 2018MomentumPR
Diagnos is a publicly traded Canadian corporation with a mission of early detection of critical health issues through the use of its artificial intelligence tool CARA (computer-assisted retina analysis). CARA is a tele-ophthalmology platform that integrates with existing equipment (hardware and software) and processes at the point of care. CARA is a cost-effective tool for screening large numbers of patients in real time and has been cleared for commercialization by several regulatory authorities such as Health Canada, the U.S. Food and Drug Administration and the European Union.
Digital Health Market has exploded in the last few years. Will that continue? What are the main areas of growth in digital days and what the future will bring us.
The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the MHealth (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health.
Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly
allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and provide information in real time to doctors who assist.
Mercer Capital's Value Focus: Medical Technology | Q2 2022Mercer Capital
Mercer Capital's Medical Technology Industry newsletter provides perspective on valuation issues. Each newsletter also includes macroeconomic trends, public market trends, and comparable public company metrics.
We are pleased to present our review of the life sciences software market for the first half of 2019.
Madison Park Group is a unique investment banking firm that takes a "strategy first" approach to advising software companies. Our partners have developed and advised numerous successful companies as operators, investors and investment bankers.
Rohan Khanna and Jonathan Adler spearhead the firm's efforts in the space.
HOW THE IoMT IS TRANSFORMING HEALTHCARE!
Smart, connected medical devices and the data
they generate are fueling the booming Internet
of Medical Things (IoMT) industry.
Our analysis regarding the evolution of what we believe is the development of the Healthcare Cloud. We discuss the siloed nature of HCIT in terms of legacy and cloud and discuss how we believe entities need to shift from point to platform solutions over time. We also lay out the fundamental underpinnings of what makes a compelling digital healthcare investment.
Similar to “Opportunities for Vision in Healthcare,” a Presentation from Woodside Capital (20)
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/deploying-large-models-on-the-edge-success-stories-and-challenges-a-presentation-from-qualcomm/
Vinesh Sukumar, Senior Director of Product Management at Qualcomm Technologies, presents the “Deploying Large Models on the Edge: Success Stories and Challenges” tutorial at the May 2024 Embedded Vision Summit.
In this talk, Dr. Sukumar explains and demonstrates how Qualcomm has been successful in deploying large generative AI and multimodal models on the edge for a variety of use cases in consumer and enterprise markets. He examines key challenges that must be overcome before large models at the edge can reach their full commercial potential. He also highlights how Qualcomm is addressing these challenges through upgraded processor hardware, improved developer tools and a comprehensive library of fully optimized AI models in the Qualcomm AI Hub.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/scaling-vision-based-edge-ai-solutions-from-prototype-to-global-deployment-a-presentation-from-network-optix/
Maurits Kaptein, Chief Data Scientist at Network Optix and Professor at the University of Eindhoven, presents the “Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment” tutorial at the May 2024 Embedded Vision Summit.
The Embedded Vision Summit brings together innovators in silicon, devices, software and applications and empowers them to bring computer vision and perceptual AI into reliable and scalable products. However, integrating recent hardware, software and algorithm innovations into prime-time-ready products is quite challenging. Scaling from a proof of concept—for example, a novel neural network architecture performing a valuable task efficiently on a new piece of silicon—to an AI vision system installed in hundreds of sites requires surmounting myriad hurdles.
First, building on Network Optix’s 14 years of experience, Professor Kaptein details how to overcome the networking, fleet management, visualization and monetization challenges that come with scaling a global vision solution. Second, Kaptein discusses the complexities of making vision AI solutions device-agnostic and remotely manageable, proposing an open standard for AI model deployment to edge devices. The proposed standard aims to simplify market entry for silicon manufacturers and enhance scalability for solution developers. Kaptein outlines the standard’s core components and invites collaborative contributions to drive market expansion.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/whats-next-in-on-device-generative-ai-a-presentation-from-qualcomm/
Jilei Hou, Vice President of Engineering and Head of AI Research at Qualcomm Technologies, presents the “What’s Next in On-device Generative AI” tutorial at the May 2024 Embedded Vision Summit.
The generative AI era has begun! Large multimodal models are bringing the power of language understanding to machine perception, and transformer models are expanding to allow machines to understand using multiple types of sensors. This new wave of approaches is poised to revolutionize user experiences, disrupt industries and enable powerful new capabilities. For generative AI to reach its full potential, however, we must deploy it on edge devices, providing improved latency, pervasive interaction and enhanced privacy.
In this talk, Hou shares Qualcomm’s vision of the compelling opportunities enabled by efficient generative AI at the edge. He also identifies the key challenges that the industry must overcome to realize the massive potential of these technologies. And he highlights research and product development work that Qualcomm is doing to lead the way via an end-to-end system approach—including techniques for efficient on-device execution of LLMs, LVMs and LMMs, methods for orchestration of large models at the edge and approaches for adaptation and personalization.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/11/learning-compact-dnn-models-for-embedded-vision-a-presentation-from-the-university-of-maryland-at-college-park/
Shuvra Bhattacharyya, Professor at the University of Maryland at College Park, presents the “Learning Compact DNN Models for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit.
In this talk, Bhattacharyya explores methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that he focuses on—from large to compact DNN form—is referred to as pruning. Pruning involves the removal of neurons or parameters from a neural network. When performed strategically, pruning can lead to significant reductions in computational complexity without significant degradation in accuracy. It is sometimes even possible to increase accuracy through pruning.
Pruning provides a general approach for facilitating real-time inference in resource-constrained embedded computer vision systems. Bhattacharyya provides an overview of important aspects to consider when applying or developing a DNN pruning method and presents details on a recently introduced pruning method called NeuroGRS. NeuroGRS considers structures and trained weights jointly throughout the pruning process and can result in significantly more compact models compared to other pruning methods.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/11/introduction-to-computer-vision-with-cnns-a-presentation-from-mohammad-haghighat/
Independent consultant Mohammad Haghighat presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2023 Embedded Vision Summit.
This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transition to explaining the basics of machine learning and convolutional neural networks (CNNs) and showing how CNNs are used in visual perception.
Haghighat illustrates the building blocks and computational elements of neural networks through examples. This session provides an overview of how modern computer vision algorithms are designed, trained and used in real-world applications.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/11/selecting-tools-for-developing-monitoring-and-maintaining-ml-models-a-presentation-from-yummly/
Parshad Patel, Data Scientist at Yummly, presents the “Selecting Tools for Developing, Monitoring and Maintaining ML Models” tutorial at the May 2023 Embedded Vision Summit.
With the boom in tools for developing, monitoring and maintaining ML models, data science teams have many options to choose from. Proprietary tools provided by cloud service providers are enticing, but teams may fear being locked in—and may worry that these tools are too costly or missing important features when compared with alternatives from specialized providers.
Fortunately, most proprietary, fee-based tools have an open-source component that can be integrated into a home-grown solution at low cost. This can be a good starting point, enabling teams to get started with modern tools without making big investments and leaving the door open to evolve tool selection over time. In this talk, Patel presents a step-by-step process for creating an MLOps tool set that enables you to deliver maximum value as a data scientist. He shares how Yummly built pipelines for model development and put them into production using open-source projects.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/11/building-accelerated-gstreamer-applications-for-video-and-audio-ai-a-presentation-from-wave-spectrum/
Abdo Babukr, Accelerated Computing Consultant at Wave Spectrum, presents the “Building Accelerated GStreamer Applications for Video and Audio AI,” tutorial at the May 2023 Embedded Vision Summit.
GStreamer is a popular open-source framework for creating streaming media applications. Developers often use GStreamer to streamline the development of computer vision and audio perception applications. Since perceptual algorithms are often quite demanding in terms of processing performance, in many cases developers need to find ways to accelerate key GStreamer building blocks, taking advantage of specialized features of their target processor or co-processor.
In this talk, Babukr introduces GStreamer and shows how to use it to build computer vision and audio perception applications. He also shows how to create efficient, high-performance GStreamer applications that utilize specialized hardware features.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/11/understanding-selecting-and-optimizing-object-detectors-for-edge-applications-a-presentation-from-walmart-global-tech/
Md Nasir Uddin Laskar, Staff Machine Learning Engineer at Walmart Global Tech, presents the “Understanding, Selecting and Optimizing Object Detectors for Edge Applications” tutorial at the May 2023 Embedded Vision Summit.
Object detectors count objects in a scene and determine their precise locations, while also labeling them. Object detection plays a crucial role in many vision applications, from autonomous driving to smart appliances. In many of these applications, it’s necessary or desirable to implement object detection at the edge.
In this presentation, Laskar explores the evolution of object detection algorithms, from traditional approaches to deep learning-based methods and transformer-based architectures. He delves into widely used approaches for object detection, such as two-stage R-CNNs and one-stage YOLO algorithms, and examines their strengths and weaknesses. And he provides guidance on how to evaluate and select an object detector for an edge application.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/introduction-to-modern-lidar-for-machine-perception-a-presentation-from-the-university-of-ottawa/
Robert Laganière, Professor at the University of Ottawa and CEO of Sensor Cortek, presents the “Introduction to Modern LiDAR for Machine Perception” tutorial at the May 2023 Embedded Vision Summit.
In this presentation, Laganière provides an introduction to light detection and ranging (LiDAR) technology. He explains how LiDAR sensors work and their main advantages and disadvantages. He also introduces different approaches to LiDAR, including scanning and flash LiDAR.
Laganière explores the types of data produced by LiDAR sensors and explains how this data can be processed using deep neural networks. He also examines the synergy between LiDAR and cameras, and the concept of pseudo-LiDAR for detection.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/11/vision-language-representations-for-robotics-a-presentation-from-the-university-of-pennsylvania/
Dinesh Jayaraman, Assistant Professor at the University of Pennsylvania, presents the “Vision-language Representations for Robotics” tutorial at the May 2023 Embedded Vision Summit.
In what format can an AI system best present what it “sees” in a visual scene to help robots accomplish tasks? This question has been a long-standing challenge for computer scientists and robotics engineers. In this presentation, Jayaraman provides insights into cutting-edge techniques being used to help robots better understand their surroundings, learn new skills with minimal guidance and become more capable of performing complex tasks.
Jayaraman discusses recent advances in unsupervised representation learning and explains how these approaches can be used to build visual representations that are appropriate for a controller that decides how the robot should act. In particular, he presents insights from his research group’s recent work on how to represent the constituent objects and entities in a visual scene, and how to combine vision and language in a way that permits effectively translating language-based task descriptions into images depicting the robot’s goals.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/adas-and-av-sensors-whats-winning-and-why-a-presentation-from-techinsights/
Ian Riches, Vice President of the Global Automotive Practice at TechInsights, presents the “ADAS and AV Sensors: What’s Winning and Why?” tutorial at the May 2023 Embedded Vision Summit.
It’s clear that the number of sensors per vehicle—and the sophistication of these sensors—is growing rapidly, largely thanks to increased adoption of advanced safety and driver assistance features. In this presentation, Riches explores likely future demand for automotive radars, cameras and LiDARs.
Riches examines which vehicle features will drive demand out to 2030, how vehicle architecture change is impacting the market and what sorts of compute platforms these sensors will be connected to. Finally, he shares his firm’s vision of what the landscape could look like far beyond 2030, considering scenarios out to 2050 for automated driving and the resulting sensor demand.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/computer-vision-in-sports-scalable-solutions-for-downmarkets-a-presentation-from-sportlogiq/
Mehrsan Javan, Co-founder and CTO of Sportlogiq, presents the “Computer Vision in Sports: Scalable Solutions for Downmarket Leagues” tutorial at the May 2023 Embedded Vision Summit.
Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this requires a fully automated, robust end-to-end pipeline, spanning from visual input, to player and group activities, to player and team evaluation to planning. Despite major advancements in computer vision and machine learning, today sports analytics solutions are limited to top leagues and are not widely available for downmarket leagues and youth sports.
In this talk, Javan explains how his company has developed scalable and robust computer vision solutions to democratize sport analytics and offer pro-league-level insights to leagues with modest resources, including youth leagues. He highlights key challenges—such as the requirement for low-cost, low-latency processing and the need for robustness despite variations in venues. He discusses the approaches Sportlogiq tried and how it ultimately overcame these challenges, including the use of transformers and fusion of multiple type of data streams to maximize accuracy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/detecting-data-drift-in-image-classification-neural-networks-a-presentation-from-southern-illinois-university/
Spyros Tragoudas, Professor and School Director at Southern Illinois University Carbondale, presents the “Detecting Data Drift in Image Classification Neural Networks” tutorial at the May 2023 Embedded Vision Summit.
An unforeseen change in the input data is called “drift,” and may impact the accuracy of machine learning models. In this talk, Tragoudas presents a novel scheme for diagnosing data drift in the input streams of image classification neural networks. His proposed method for drift detection and quantification uses a threshold dictionary for the prediction probabilities of each class in the neural network model.
The method is applicable to any drift type in images such as noise and weather effects, among others. Tragoudas shares experimental results on various data sets, drift types and neural network models to show that his proposed method estimates the drift magnitude with high accuracy, especially when the level of drift significantly impacts the model’s performance.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/deep-neural-network-training-diagnosing-problems-and-implementing-solutions-a-presentation-from-sensor-cortek/
Fahed Hassanat, Chief Operating Officer and Head of Engineering at Sensor Cortek, presents the “Deep Neural Network Training: Diagnosing Problems and Implementing Solutions” tutorial at the May 2023 Embedded Vision Summit.
In this presentation, Hassanat delves into some of the most common problems that arise when training deep neural networks. He provides a brief overview of essential training metrics, including accuracy, precision, false positives, false negatives and F1 score.
Hassanat then explores training challenges that arise from problems with hyperparameters, inappropriately sized models, inadequate models, poor-quality datasets, imbalances within training datasets and mismatches between training and testing datasets. To help detect and diagnose training problems, he also covers techniques such as understanding performance curves, recognizing overfitting and underfitting, analyzing confusion matrices and identifying class interaction issues.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/ai-start-ups-the-perils-of-fishing-for-whales-war-stories-from-the-entrepreneurial-front-lines-a-presentation-from-seechange-technologies/
Tim Hartley, Vice President of Product for SeeChange Technologies, presents the “AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepreneurial Front Lines)” tutorial at the May 2023 Embedded Vision Summit.
You have a killer idea that will change the world. You’ve thought through product-market fit and differentiation. You have seed funding and a world-beating team. Best of all, you’ve caught the attention of major players in your industry. You’ve reached peak “start-up”—that point of limitless possibility—when you go to bed with the same level of energy and enthusiasm you had when you woke. And then the first proof of concept starts…
In this talk, Hartley lays out some of the pitfalls that await those building the next big thing. Using real examples, he shares some of the dos and don’ts, particularly when dealing with that big potential first customer. Hartley discusses the importance of end-to-end design, ensuring your product solves real-world problems. He explores how far the big companies will tell you to jump—and then jump again—for free. And, most importantly, how to build long-term partnerships with major corporations without relying on over-promising sales pitches.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/a-computer-vision-system-for-autonomous-satellite-maneuvering-a-presentation-from-scout-space/
Andrew Harris, Spacecraft Systems Engineer at SCOUT Space, presents the “Developing a Computer Vision System for Autonomous Satellite Maneuvering” tutorial at the May 2023 Embedded Vision Summit.
Computer vision systems for mobile autonomous machines experience a wide variety of real-world conditions and inputs that can be challenging to capture accurately in training datasets. Few autonomous systems experience more challenging conditions than those in orbit. In this talk, Harris describes how SCOUT Space has designed and trained satellite vision systems using dynamic and physically informed synthetic image datasets.
Harris describes how his company generates synthetic data for this challenging environment and how it leverages new real-world data to improve our datasets. In particular, he explains how these synthetic datasets account for and can replicate real sources of noise and error in the orbital environment, and how his company supplements them with in-space data from the first SCOUT-Vision system, which has been in orbit since 2021.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/bias-in-computer-vision-its-bigger-than-facial-recognition-a-presentation-from-santa-clara-university/
Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, presents the “Bias in Computer Vision—It’s Bigger Than Facial Recognition!” tutorial at the May 2023 Embedded Vision Summit.
As AI is increasingly integrated into various industries, concerns about its potential to reproduce or exacerbate bias have become widespread. While the use of AI holds the promise of reducing bias, it can also have unintended consequences, particularly in high-stakes computer vision applications such as facial recognition. However, even seemingly low-stakes computer vision applications such as identifying potholes and damaged roads can also present ethical challenges related to bias.
This talk explores how bias in computer vision often poses an ethical challenge, regardless of the stakes involved. Kennedy discusses the limitations of technical solutions aimed at mitigating bias, and why “bias-free” AI may not be achievable. Instead, she focuses on the importance of adopting a “bias-aware” approach to responsible AI design and explores strategies that can be employed to achieve this.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/sensor-fusion-techniques-for-accurate-perception-of-objects-in-the-environment-a-presentation-from-sanborn-map-company/
Baharak Soltanian, Vice President of Research and Development for the Sanborn Map Company, presents the “Sensor Fusion Techniques for Accurate Perception of Objects in the Environment” tutorial at the May 2023 Embedded Vision Summit.
Increasingly, perceptual AI is being used to enable devices and systems to obtain accurate estimates of object locations, speeds and trajectories. In demanding applications, this is often best done using a heterogeneous combination of sensors (e.g., vision, radar, LiDAR). In this talk, Soltanian introduces techniques for combining data from multiple sensors to obtain accurate information about objects in the environment.
Soltanian briefly introduces the roles played by Kalman filters, particle filters, Bayesian networks and neural networks in this type of fusion. She then examines alternative fusion architectures, such as centralized and decentralized approaches, to better understand the trade-offs associated with different approaches to sensor fusion as used to enhance the ability of machines to understand their environment.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/updating-the-edge-ml-development-process-a-presentation-from-samsara/
Jim Steele, Vice President of Embedded Software at Samsara, presents the “Updating the Edge ML Development Process” tutorial at the May 2023 Embedded Vision Summit.
Samsara (NYSE:IOT) is focused on digitizing the world of operations. The company helps customers across many industries—including food and beverage, utilities and energy, field services and government—get information about their physical operations into the cloud, so they can operate more safely, efficiently and sustainably. Samsara’s sensors collect billions of data points per day and on-device processing is instrumental to its success. The company is constantly developing, improving and deploying ML models at the edge.
Samsara has found that the traditional development process—where ML scientists create models and hand them off to firmware engineers for embedded implementation—is slow and often produces difficult-to-resolve differences between the original model and the embedded implementation. In this talk, Steele presents an alternative development process that his company has adopted with good results. In this process, firmware engineers develop a general framework that ML scientists use to design, develop and deploy their models. This enables quick iterations and fewer confounding bugs.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/combating-bias-in-production-computer-vision-systems-a-presentation-from-red-cell-partners/
Alex Thaman, Chief Architect at Red Cell Partners, presents the “Combating Bias in Production Computer Vision Systems” tutorial at the May 2023 Embedded Vision Summit.
Bias is a critical challenge in predictive and generative AI that involves images of humans. People have a variety of body shapes, skin tones and other features that can be challenging to represent completely in training data. Without attention to bias risks, ML systems have the potential to treat people unfairly, and even to make humans more likely to do so.
In this talk, Thaman examines the ways in which bias can arise in visual AI systems. He shares techniques for detecting bias and strategies for minimizing it in production AI systems.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.