When you have easy access to services like healthcare, it’s easy to take them for granted. But rural areas all over the globe struggle to secure quality healthcare services. Due to a shortage of healthcare professionals and resources, extensive travel distances, and infrastructure limitations, many rural communities find themselves in an unfortunate position. But it doesn’t have to be this way. Digital health solutions have made significant progress in recent years, allowing rural areas to overcome these challenges and ensure patients receive top-tier healthcare regardless of their location.

In this podcast, we discuss the many benefits of digital health solutions for rural communities, as well as some of the challenges that need to be addressed to ensure the accessibility and effectiveness of these technologies. We also hear from experts about how digital health is used around the world to reshape the healthcare landscape.

Join us as we explore these ideas with: Leonardo Melo, Co-Owner, Diagnext Jason Miao, Oversea Business Director, imedtac Moji Ghodoussi, VP of Business Innovation & Partnerships, Teladoc Health Christina Cardoza, Editorial Director, insight.tech

Leonardo, Jason, and Moji answer our questions about:

• The struggle to bring quality healthcare to different regions
• How digital healthcare solutions have evolved over the past few years
• Challenges hospitals and healthcare providers face in rural areas
• Breaking down barriers with new tools and technologies
• Types of infrastructure necessary for virtual healthcare
• How to successfully deploy digital health solutions
• Lessons learned from end users and customers
• The value of partnerships for rural healthcare
• Healthcare opportunities still on the horizon

Related Content

To learn more about virtual care and digital health solutions, read Telemedicine Solutions: Closing Healthcare’s Digital Divide, IoMT Technology Automates Vital Signs Measurement, and Teladoc Charts the Future of Telehealth.

IoT has permeated nearly every industry as businesses seek better access and insights into data and operations. But not all IoT devices are well suited for the rugged and sometimes harsh environments they are needed in—both outdoor and indoor. For example, a business that wants to deploy an IoT device in the field to monitor assets and detect anomalies must consider factors like the range of weather conditions and temperatures that the device may encounter.

Fortunately, recent advancements in technology have made it easier to develop ruggedized industrial IoT devices that can reliably and efficiently operate in harsh environments. In this podcast, we will explore the recent advancements that have made rugged IoT a reality, the types of environmental concerns and risks that these devices must withstand, and the best approach for implementing rugged IoT devices in the field.

Join us as we explore these ideas with: Jason Lu, Product Manager, ASUS David Zhu-Grant, Senior Product Manager, OnLogic Chad Hutchinson, Vice President of Engineering, Crystal Group Christina Cardoza, Editorial Director, insight.tech

Jason, David, and Chad answer our questions about:

• The importance of rugged IoT
• Deployment challenges for harsh, outdoor environments
• Deployment challenges for indoor environments
• Overcoming rugged IoT deployment challenges
• Implementing rugged IoT devices
• Choosing scalable and future-proofed rugged IoT devices
• Use cases and real-world examples
• Leveraging partnerships to create better rugged IoT solutions

For the latest innovations from ASUS, OnLogic, and Crystal Group, follow them on:

• Twitter: @ASUS, @OnLogic, @CrystalGroup
• LinkedIn: ASUS, OnLogic, Crystal Group

Location intelligence is already a part of our everyday lives, from using our phones to get directions to finding a nearby restaurant. But businesses now are starting to see the transformative potential of location intelligence.

In fact, 95% of businesses now consider location intelligence to be essential, thanks to its ability to lower costs, improve customer experience, and enhance operations. But many businesses struggle to get the most out of their location data because it's often siloed in different departments or systems.

AI and digital twins can help businesses to break down data silos and create a single, comprehensive view of their spaces in real time. AI can be used to analyze large volumes of location data and identify patterns and trends. Digital twins are virtual replicas of real-world objects or environments that can be used to track and monitor changes over time.

In this podcast, we discuss the importance of location intelligence, the use of AI and digital twins for tracking and monitoring, and how to implement AI-powered tracking and monitoring safely and securely.

Join us as we explore these ideas with: Tony Franklin, GM and Senior Director of Federal and Aerospace Markets, Intel  Christina Cardoza, Editorial Director, insight.tech

Tony answers our questions about

• The importance of location intelligence
• Businesses’ challenges with achieving real-time insights
• The role digital twins and artificial intelligence play
• Tools and technologies necessary for success
• Using Intel® SceneScape OpenVINO™, Geti™ for location intelligence
• Addressing privacy concerns with AI-powered tracking and monitoring
• Future advancements of AI, digital twins, and location intelligence

To learn more about the importance of location intelligence, read Monitor, Track, and Analyze Any Space with Intel® SceneScape. For the latest innovations from Intel, follow them on Twitter @intel and on LinkedIn at Intel Corporation.

Edge computing is quickly becoming known for its ability to improve business operations by reducing latency, delivering high performance, and providing real-time insights. But despite its promise, many businesses—especially in the industrial space—struggle to successfully adopt edge computing.

One challenge is that industrial edge computing can be complex to scale. While it is relatively easy to get started with a few edge devices, managing a large-scale edge computing infrastructure can be daunting. Additionally, lack of a single edge computing standard can make it difficult to integrate edge devices and applications from different vendors.

To overcome these challenges, businesses need to take a strategic approach to edge computing adoption. This includes carefully planning their edge computing architecture, selecting the right edge devices and applications, and implementing a robust management and orchestration framework.

In this podcast, we discuss the state of edge computing across different environments, how businesses can successfully approach edge computing, key challenges and how to solve them, and what the future holds for edge computing in this space.

Join us as we explore these ideas with: Martin Garner, Head of IoT Research, CCS Insight Dan Rodriguez, VP and GM of the Network and Edge Solutions Group, Intel Christina Cardoza, Editorial Director, insight.tech

Martin and Dan answer our questions about:

• 2:49 The state of edge computing
• 7:04 Different edge opportunities for businesses
• 11:14 Why adoption is more challenging for manufacturers
• 15:02 How to successfully approach edge computing
• 20:52 Lessons learned from industry examples
• 24:08 The edge computing ecosystem and partnerships
• 26:36 Future proofing investments and efforts
• 28:00 What’s next for edge computing

Related Content

To learn more about adopting edge computing, read IoT Initiatives to Scale Industrial Edge Computing. For the latest innovations from CCS Insight and Intel, follow them on Twitter @ccsinsight and @intel, and on LinkedIn at CCS Insight and Intel Corporation.

There is a common misconception that AI will become an intrusive part of our everyday lives—but it’s actually quite the opposite. The reality is that AI has the potential to enhance everyday life in many ways that we may not even notice. For example, AI video analytics can be used in smart cities to monitor traffic flow, identify hazards, and help emergency responders quickly respond to incidents.

Of course, there are still concerns around security and privacy. But many companies are committed to implementing AI in a way that prioritizes user security.

In this podcast, we talk about the opportunities AI video analytics provide communities, real-world use of AI video analytics in smart cities, and how to successfully deploy these systems in a safe and secure way.

Join us as we explore these ideas with: Srivikraman Murahari, VP of Products and Strategic Alliances, Videonetics Christina Cardoza, Editorial Director, insight.tech

Srivikraman answers our questions about

• ChallengesAI video analytics address in smart cities
• Implementing AI solutions that balance citizen privacy and well-being
• Developing and deploying solutions citywide
• Technology infrastructure that goes into successful deployments
• Creating end-to-end solutions with ecosystem partners
• Additional opportunities and use cases for AI video analytics

Related Content

To learn more about what Videonetics is doing in the AI video analytics space, follow them on Twitter and LinkedIn.

Are we in for an autonomous mobile robot (AMR) takeover? Not exactly. But we can expect to see more AMRs implemented across industries to streamline production, improve operations, enhance work safety, and increase productivity. That’s because recent technology advancements have made the hardware and software components necessary to building these systems more cost-effective and accessible. And with artificial intelligence becoming more mainstream, it’s now possible not only to create AMRs capable of doing human tasks but integrate them into human worker environments.

In this episode, we talk about how all this is possible today, what we can expect in the future, top applications and opportunities for industries, and all the ins and outs of developing, deploying, and implementing AMRs safely and securely.

Join us as we explore these ideas with: Claire Liu, Senior Product Marketing Manager, congatec Timo Kuehn, Systems Architect and Product Manager, Real-Time Systems Christina Cardoza, Editorial Director, insight.tech

Claire and Timo answer our questions about:

• The meaning of autonomous mobile robots
• Implementing AMRs safely on the factory floor
• Developing AMRs to meet real-time demand
• Taking a modular approach when designing AMRs
• Tools and technologies necessary for AMR development
• Biggest use cases and opportunities for AMRs today
• AMR advancements we can expect

Related Content

To learn more about autonomous mobile robots, read IoT Virtualization Jump-Starts Collaborative Robots. For the latest innovations from congatec and Real-Time Systems, follow them on Twitter at @congatecAG and LinkedIn at congatec and Real-Time Systems GmbH.

Businesses and organizations are filled with all kinds of data that could provide valuable insights into their operations and decision-making. But first they need a strategy and the proper tools and technologies in place to put it all in motion.

In this episode, we look at various data-driven strategies, challenges, and best practices from across industries. We also explore the key components of a successful data-driven culture, such as collecting and managing data, leveraging artificial intelligence and predictive analytics, and forming partnerships with other businesses. By understanding these concepts, businesses can harness the power of data to unlock insights and make informed decisions.

Join us as we explore these ideas with: Saransh Karira, Head of Engineering, Awios Atif Kureishy, CEO and Founder, Vistry Christina Cardoza, Editorial Director, insight.tech

Saransh and Atif answer our questions about

• The meaning of data-driven cultures
• Technological advancements making data more accessible
• Successfully implementing a data-driven strategy
• AI’s role in creating data-driven cultures
• Lessoned learned from the industry
• Leveraging expertise from partners

For the latest innovations from Awiros and Vistry, follow them on:

• Twitter at @awirosweb and @vistryai
• and LinkedIn: Awiros and Vistry

Long wait times and slow checkout lines have become all too familiar in retail stores. With each passing second, customers grow increasingly frustrated, leading to a negative impact on customer satisfaction, store business, and reputation. In today's fast-paced world, shoppers no longer tolerate such experiences.

Fortunately, recent advancements in AI have opened doors to developing solutions that can significantly improve store operations and enhance customer journeys. But lack of in-house development resources poses a challenge for many retail stores looking to implement these innovative solutions.

In this podcast, we explore the shifting landscape of customer expectations, innovative ways AI is used to address retail challenges, and skills and knowledge necessary to build, deploy, and implement AI across retail stores.

Join us as we explore these ideas with: Ria Cheruvu, AI Software Architect and AI Evangelist, Intel Nicole O’Keefe, Senior Product Marketing and Operations Manager, Pathr.ai Christina Cardoza, Editorial Director, insight.tech

Ria and Nicole answer our questions about

• Changing customer expectations and retail challenges
• How retailers can become more actionable with AI
• Building, developing, and deploying AI retail applications
• AI’s business value and benefits for retailers
• Tools necessary for developing AI applications 
• Where developers can get started building solutions
• Successfully implementing AI solutions in stores
• Creating an end-to-end retail operations solution
• Continuing the success of AI in the retail space

Related Content

To learn more about developing retail technology, read The Future of Retail Technology Is Spatial Intelligence, visit Intel’s AI Reference Kits, and join the OpenVINO™ discussion on GitHub to share your experiences. For the latest innovations from Intel and Pathr.ai, follow them on Twitter at @intel and @pathr_ai and LinkedIn at Intel Corporation and Pathr.ai.

The electric vehicle market is growing rapidly, and with it comes a number of challenges and opportunities. On the one hand, EV technologies offer significant environmental benefits. On the other hand, there could be consequences plugging these devices into the power grid.

In this podcast, we explore the key challenges that need to be addressed before EVs can become truly mainstream. We will discuss the need for a robust charging infrastructure, the potential for EVs to revolutionize transportation, and how this technology can be safely and sustainably adopted on a large scale.

Join us as we explore these ideas with: Maurizio Caporali, Chief Product Officer, SECO Ezana Mekonnen, Chief Technology Officer, Imagen Energy Christina Cardoza, Editorial Director, insight.tech

Maurizio and Ezana answer our questions about:

• The rise of, and interest in, electric vehicles
• How the grid can keep up with the pace of the EV market
• Implementing EV technologies in a safe and sustainable way
• How EV technologies can utilize existing infrastructure
• Futureproofing today’s efforts for scale and flexibility
• Leveraging expertise from different companies
• EV technology benefits from a user and business perspective

Related Content

To learn more about electric vehicles, read AI and CV Power Up the EV Charging Station Boom. For the latest innovations from SECO, follow them on Twitter at @SECO_spa and LinkedIn, and follow Imagen Energy on LinkedIn.

Did you know the average bare-metal physical security hardware system uses only 60% of available CPU resources and 45% of memory? As more industries transform their video camera systems into intelligent solutions capable of providing valuable insights, they could be underutilizing their resources.

Fortunately, by adopting a virtual architecture, businesses can optimize their system resources by consolidating them within a virtual environment. This approach not only maximizes resource utilization but also reduces reliance on physical hardware, sometimes even by up to 50%.

In this episode, we delve into the profound impact of virtualization on the video analytics field. We explore strategies to overcome implementation challenges and discuss why businesses should seriously consider making this transition sooner rather than later.

Join us as we explore these ideas with: Darren Giacomini, Director of Business Development, BCD Christina Cardoza, Editorial Director, insight.tech

Darren answers our questions about

• The evolution of physical security systems
• Challenges with obtaining valuable video data analytics
• The role of virtualization in providing valuable insights
• How to successfully make the move toward virtualization
• Lessons learned from others in the industry
• Partnerships backing the move toward virtualization
• The future of virtualization for businesses

Related Content

For the latest innovations from BCD, follow them on Twitter at @BCDvideo and on LinkedIn.