Thank you for Subscribing to CIO Applications Weekly Brief

Executives From NVIDIA, Mattel, Know Labs, Along With NBC, to Discuss New AI Trends at Edge Impulse's Annual Imagine Conference
By
CIO Applications | Friday, October 13, 2023

SAN JOSE, Calif. --Edge Impulse, the leading edge AI platform provider, has announced the speaker lineup for its third annual conference Imagine 2023, which will be held virtually and in person at the Computer History Museum in Mountain View, California, on Wednesday September 27, 2023.
The Imagine conference was created by the co-founders of Edge Impulse, CEO Zach Shelby, a former Arm executive and tinyML Foundation board member, and CTO Jan Jongboom, an embedded engineering expert and ML advocate.
“We see Imagine as the forum where edge AI business and technology meet, showcasing the exciting adoption and impact this technology is having on businesses and industries,” said Shelby.
NVIDIA’s Head of Embedded Edge AI Product Management, Amit Goel, will keynote the conference with a discussion on new industry insights in AI and machine learning related to edge computing. He will also touch on innovative new use cases for edge AI made possible by the NVIDIA Jetson and NVIDIA Omniverse platforms with Edge Impulse, previewed in the blog, How to Train an Object Detection Model for Visual Inspection with Synthetic Data.
“Imagine has become an important gathering for experts in edge AI to pool knowledge, and I look forward to sharing NVIDIA’s perspective on this fast-growing segment in AI,” Goel said.
Other notable topics that will be covered at Imagine include:
• Challenges of AI at the edge. Mattel’s Head of Global Electronic Design Paul Chen will lead a panel on the top challenges for AI at the edge with Neurable Co-founder and CEO Ramses Alcaide and SAIC’s Edge Artificial Intelligence Lead & Research Fellow Nathan Verrill.
• Responsible AI best practices. The conference will tackle responsible AI with a panel overseen by NBC Correspondent Jacob Ward. The discussion will feature speakers from companies driving innovative new use cases in edge AI, including Kenyan climate tech startup Amini’s Co-founder and CEO Kate Kallot, Useful Sensors’ Founder and CEO Pete Warden and WhyLabs Co-founder and CEO Alessa Visnjic.
• Building next-generation healthcare sensors and algorithms. Steve Kent, the Chief Product Officer at Know Labs—an emerging developer of non-invasive medical diagnostics technology—will discuss novel sensor development to bring the first FDA-approved, non-invasive glucose monitor to the market, and how health technology companies can approach data collection and development methods to ensure success.
“I'm really excited about the Imagine conference. They have amazing people attending, and I know there is so much we can learn together,” said Mattel’s Chen.
“Edge AI is responsible for some of the most exciting developments in healthcare research and patient health management,” said Know Labs’ Kent. “I look forward to sharing with our peers how proven data collection methods and best practices, in conjunction with Edge AI, have the potential to transform the healthcare industry and empower patients on their journey to optimal health.”
Since 2021, Imagine has brought together the top business and technology leaders in edge AI to discuss how it is impacting industries such as climate and environmental impact, healthcare, manufacturing and science. Each year, attendees from companies like Walmart, IBM, Arm, Infineon and Google join from around the world to glean insights from professionals implementing edge AI on the ground, including embedded engineers, software developers in machine learning and AI, and tech enthusiasts.
The Imagine conference was created by the co-founders of Edge Impulse, CEO Zach Shelby, a former Arm executive and tinyML Foundation board member, and CTO Jan Jongboom, an embedded engineering expert and ML advocate.
“We see Imagine as the forum where edge AI business and technology meet, showcasing the exciting adoption and impact this technology is having on businesses and industries,” said Shelby.
NVIDIA’s Head of Embedded Edge AI Product Management, Amit Goel, will keynote the conference with a discussion on new industry insights in AI and machine learning related to edge computing. He will also touch on innovative new use cases for edge AI made possible by the NVIDIA Jetson and NVIDIA Omniverse platforms with Edge Impulse, previewed in the blog, How to Train an Object Detection Model for Visual Inspection with Synthetic Data.
“Imagine has become an important gathering for experts in edge AI to pool knowledge, and I look forward to sharing NVIDIA’s perspective on this fast-growing segment in AI,” Goel said.
Other notable topics that will be covered at Imagine include:
• Challenges of AI at the edge. Mattel’s Head of Global Electronic Design Paul Chen will lead a panel on the top challenges for AI at the edge with Neurable Co-founder and CEO Ramses Alcaide and SAIC’s Edge Artificial Intelligence Lead & Research Fellow Nathan Verrill.
• Responsible AI best practices. The conference will tackle responsible AI with a panel overseen by NBC Correspondent Jacob Ward. The discussion will feature speakers from companies driving innovative new use cases in edge AI, including Kenyan climate tech startup Amini’s Co-founder and CEO Kate Kallot, Useful Sensors’ Founder and CEO Pete Warden and WhyLabs Co-founder and CEO Alessa Visnjic.
• Building next-generation healthcare sensors and algorithms. Steve Kent, the Chief Product Officer at Know Labs—an emerging developer of non-invasive medical diagnostics technology—will discuss novel sensor development to bring the first FDA-approved, non-invasive glucose monitor to the market, and how health technology companies can approach data collection and development methods to ensure success.
“I'm really excited about the Imagine conference. They have amazing people attending, and I know there is so much we can learn together,” said Mattel’s Chen.
“Edge AI is responsible for some of the most exciting developments in healthcare research and patient health management,” said Know Labs’ Kent. “I look forward to sharing with our peers how proven data collection methods and best practices, in conjunction with Edge AI, have the potential to transform the healthcare industry and empower patients on their journey to optimal health.”
Since 2021, Imagine has brought together the top business and technology leaders in edge AI to discuss how it is impacting industries such as climate and environmental impact, healthcare, manufacturing and science. Each year, attendees from companies like Walmart, IBM, Arm, Infineon and Google join from around the world to glean insights from professionals implementing edge AI on the ground, including embedded engineers, software developers in machine learning and AI, and tech enthusiasts.
More in News
Digital transformation is the next big disruptor in the digital automobile sector, which has a long history of rapid and disruptive development. Increased connection, environmental restrictions, the Internet of Things, wireless solutions, and rising customer expectations are all driving automakers to boost their expenditures in digitalization.
Technology impacts the entire automotive value chain, including design, manufacturing, distribution, and retail. For many years, vehicle investment has been driven by the abundance of customer data. According to the Future of Mobility report by Frost & Sullivan, IT investment will increase from $38 billion to $168 billion by 2025.
How will the digital transformation of the automotive industry impact people?
Aspects of the automobile purchase procedure that date back to the beginning of the twentieth century have remained unchanged. Although dealerships and consumers have had access to eCommerce for a considerable time, most individuals continue to purchase new vehicles conventionally. The overall customer experience remained consistent despite the widespread adoption of digital products like iPads.
Today consumers of all races are more willing than ever to buy automobiles online. A growing number of companies will strive to improve their digital experience and increase consumer engagement through social media, mobile applications, and websites. This pattern continues.
Is the digital transformation of the automotive industry necessary?
The digital revolution has simplified and improved lives in the automobile industry. The use of digital technology in the production, maintenance, marketing, and sales of autonomous vehicles integrates the technology. However, these new developments are not devoid of disadvantages.
Digitization obstacles confront automobile manufacturers
Most of the automobile industry's technical change management efforts are motivated by technological advances and consumer expectations. The automobile industry is highly competitive due to its interconnectedness with numerous other industries. Digital manufacturing, environmental concerns, mobility as a service, and predictive computing have advantages and disadvantages. Here are a few examples:
Investment
In the current economic climate, managing costs and mitigating risks have become critical priorities for automotive companies. As organizations pursue greater efficiency, they increasingly focus on enhancing supply chain visibility, improving sales effectiveness, and strengthening overall customer experience. In this context, The Coleman Group Inc supports organizations through solutions aligned with data visibility and operational efficiency. This approach enables companies to better navigate financial pressures while maintaining competitive performance.
Companies engaged in vehicle digitalization must prioritize the most profitable use cases. Predicting the return on investment and identifying applicable use cases for new technology will be fundamental obstacles for the automobile industry.
EaseAudio supports customer experience and operational efficiency through advanced audio solutions enhancing in-vehicle digital environments.
For example, self-driving cars have recently been referred to by the media as the greatest disruptor. There has been a delay in the introduction of fully autonomous vehicles. A 2020 Deloitte survey reveals that consumers in Germany (67 percent) and Japan (61 percent) are unlikely to invest more than $600 in autonomous vehicle technology.
The impact of cutting-edge powertrain technology is comparable. Most German and American customers (58 percent and 54 percent, respectively) stated that they would not pay more than $600 for an alternative-fuel vehicle. These concerns persist, even though proponents of these technological advancements have a dubious understanding of client demand for technology.
Aversion to change
There is an opportunity for the industry to do more to advance crucial innovative ideas. Even as the range of electric vehicles increases, there is still concern that the battery power will run out. Due to the decentralized nature of the global or national charging infrastructure, automakers bear no direct responsibility for their upkeep. Furthermore, whether manufacturers or the government should be responsible for charging infrastructure is debatable.
While business-to-consumer eCommerce has been a defining characteristic of the automotive aftermarket for decades, other aspects of automotive eCommerce have only recently begun to adopt digital technologies. There are many obstacles facing manufacturers today. According to a survey, automobile manufacturers anticipate a 24 percent increase in digital expenditures over the next four years. However, the industry's low level of digital maturity and the rapid implementation of these changes create obstacles. ...Read more
Fremont, CA: Artificial Intelligence (AI) is revolutionizing the construction sector. There has never been a greater pressing demand for accuracy and efficiency due to tighter budgets and more complicated projects. Here are five domains in construction project management where AI plays a crucial role.
Decision-Making
The use of AI in decision-making has been one of its most revolutionary effects. Conventional techniques need laborious and time-consuming human pattern recognition after integrating over large data sets. Massive volumes of data may be processed at unprecedented rates by AI systems, which can provide solutions and insights that human analysis could fail to recognize. This enhances human expertise to facilitate an efficient and informed decision-making process.
Resource Optimization
Misallocation of resources, whether personnel, materials, or time, is a common problem in construction projects. Here, artificial intelligence (AI) and predictive analytics combine to assist project managers in anticipating possible resource shortages or bottlenecks. Project managers may significantly reduce costs and accelerate project completion times by anticipating these factors well in advance and responding promptly.
Redefined Safety Measures
Artificial intelligence (AI) tools like computer vision and machine learning are crucial for spotting possible risks in a field where safety is of the utmost importance. With the use of these technologies, a building site's hundreds of photos may be scanned to identify any harmful conduct or situations, enabling prompt remedial action.
Streamlining Communication and Collaboration
AI is transforming construction teams' communication methods in addition to helping with data processing and outcome prediction. Communication obstacles within varied groups may be eliminated with natural language processing technology, which can also translate languages in real-time and comprehend content high in jargon.
Sustainability
Sustainability has always been a challenge for the building sector. Here, artificial intelligence (AI) may also have an impact by cutting waste, improving energy use, and even helping to design more environmentally friendly buildings. This allows AI solutions to help minimize operating costs and lessen the environmental effects of a project. ...Read more
When firms adopt agile marketing, the improved reaction and effort put into projects aid teams in navigating marketing trends and the amount of effort required for specific initiatives.
Key Advantages of Agile Marketing
Productivity
One of the most significant advantages of agile marketing is increased productivity. Prioritizing workflows becomes easier with data analysis and evaluating how much effort it takes to finish a task/project.
Transparency
With Agile Marketing in place, it's impossible to hide how long projects take to finish. With this in mind, transparency allows the entire organization to see how resources are dispersed, needed, and used on projects.
Measurability
Teams can analyse and evaluate outcomes more effectively by reviewing performance data, enabling continuous improvement in agile marketing efforts. This ability to measure results supports data analysts in identifying areas that require adjustments to enhance overall campaign success. Solutions such as ADR Notable support structured analytics and workflow visibility, contributing to more informed decision-making processes. This data-driven approach allows organisations to refine strategies and improve marketing effectiveness over time.
It's Impossible to Avoid Change.
It is easier to see which areas require adjustment and support once problems have been identified. As a result, teams may become more adaptable and nimble as they work toward a similar goal.
Kiteworks provides secure data communication solutions supporting data-driven marketing analysis and collaboration across enterprise systems.
Competitiveness
Competitiveness in the company's industry and competitiveness among teams to create better and faster are instances of this. Moreover, as other firms seek to improve, it gives others a competitive advantage, guaranteeing that they do not become obsolete.
Challenges in Agile Marketing
Marketers are obliged to depart from their initial strategy, including agile marketing, during times of crisis or when severe challenges develop.
As these issues arise, businesses must be adaptable enough to work through them and dedicate sufficient resources and assets through agile marketing to remain productive. A company can still use agile marketing during these challenging times, but it's critical to retain its essential work intact to enhance production. Agile marketing can quickly fail without thorough planning, whether or not there is a crisis. ...Read more
In the digital age, software applications are necessary for many aspects of daily life, including business operations and personal convenience. Software testing is an essential part of development because of its functionality and reliability. As technology develops and software grows more complex, thorough software testing becomes more and more important.
Before a software application is made available to users, it undergoes software testing to find and fix bugs. This procedure uses a variety of approaches and methods to evaluate the software's usability, security, performance, and functionality. Sustaining user trust and happiness requires software to fulfill intended criteria and offer an acceptable user experience, so effective testing is essential.
One of the primary reasons software testing is vital is that it helps prevent defects and errors from reaching the end users. In a world where software failures can lead to significant financial losses, data breaches, and damaged reputations, identifying and fixing issues early in the development cycle is essential. Software testing allows developers to detect and address bugs, glitches, and other problems before they impact users. This proactive approach enhances the software's quality and reduces the risk of costly post-release fixes and negative user experiences.
Software testing plays a critical role in validating that applications meet functional requirements and perform reliably under varying conditions. Through comprehensive testing, developers can ensure that features operate correctly and that software maintains consistency across different environments and devices. Companies such as Krasan Consulting Services contribute to strengthening validation processes by supporting solutions that enhance software reliability and compliance with specifications. This process confirms that applications fulfill their intended purpose while aligning with user expectations and organizational goals.
Software testing requires more performance testing than ever, especially as applications become more sophisticated and user expectations rise. It evaluates software performance under various loads and conditions, including speed, responsiveness, and scalability. This helps identify bottlenecks and performance issues, ensuring the application can handle real-world usage demands optimally before release.
Immix provides solutions supporting software reliability, functional requirements, and testing efficiency across enterprise and technology environments.
Security testing is crucial in today's digital age, as software applications handle sensitive data. It evaluates software's defenses against unauthorized access, data leakage, and malicious attacks. Thorough testing helps developers safeguard user data and protect applications from potential exploits, ensuring a secure and trustworthy user experience.
Usability testing is another critical component of software testing, focusing on the user experience and interface. This testing evaluates how intuitive and user-friendly the software is, assessing factors such as navigation, accessibility, and overall design. Usability testing helps identify areas where users may struggle or encounter difficulties, allowing developers to improve the software’s usability and overall user satisfaction. ...Read more

