InsightDotTech Talk

Operating a quick-service restaurant is not for the faint of heart. Whether it’s ensuring inventories are sufficient, kitchens are suitably staffed, fickle customers are satisfied, or meal quality is consistent across multiple locations, food service is one industry in need of a ready solution that can address these challenges.

In this podcast, we discuss why AI may be the ideal answer for overstretched restaurants. Specifically, we dive into how restaurants can use cloud vision AI platforms to guarantee only the freshest food is served. In addition, we explore how AI can help transform restaurants into efficient, data-driven operations capable of ensuring meal order accuracy, reducing kitchen stress, and seamlessly integrating with third-party delivery services.

Join us as we explore these ideas with: Hauke Feddersen, Vice President of Operations, PreciTaste Christina Cardoza, Editorial Director, insight.tech

Hauke answers our questions about

• Demand for AI in the food service industry
• New expectations from customers
• Integrating with third-party delivery services
• Implementing AI into a quick-service restaurant (QSR)
• Taking an edge computing and cloud approach
• QSRs that have implemented AI-based solutions
• Future use cases of AI in restaurants

Related Content

To learn more about AI in the food service industry, read When the Customer Experience Feels Deeply Human. For the latest innovations from PreciTaste, follow them on LinkedIn.

The global community was ready to welcome a period of relative stability as it recovered from the pandemic—but that’s not what it got. Instead, a formidable mix of international tensions, political instability, supply chain disruptions, and rising inflation have made 2022 an especially turbulent year. But despite continuing uncertainty, it’s clear that IoT technology will play a critical role as the world responds to changing economic conditions.

To help ensure you stay ahead of the IoT trends and technologies, this podcast forecasts what’s in store for IoT in 2023 and beyond. Specifically, we take a closeup look at the worldwide expansion of 5G networks, the importance of remote support operations, and the promise of the metaverse. In addition, we spotlight a few key IoT trends to watch—including the continued growth of artificial intelligence and virtual technologies, as well as the increasing demand for sustainable solutions.

Join us as we explore these ideas with: Martin Garner, COO, CCS Insight Bola Rotibi, Chief of Enterprise Research, CCS Insight Christina Cardoza, Associate Editorial Director, insight.tech

Martin and Bola answers our questions about

• What’s driving IoT trends and themes for 2023
• How last year’s predictions played out
• Realizing the full benefits of digital transformations
• IoT trends and technologies for enterprises
• 5G and 6G adoption throughout the next year
• What to expect from the metaverse
• The ongoing role of AI and machine learning

Related Content

To learn more about IoT trends and technologies, read IoT-Related Predictions for 2023 and Beyond. For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn. 

For many companies, connecting IT and OT networks can be a double-edged sword. Yes, doing so delivers greater visibility and makes it possible to better utilize platforms, buildings, industrial PLCs, and more. But it also increases complexity and blurs network boundaries—resulting in vulnerabilities that provide hackers with ample opportunities to strike.

In this podcast, we review how organizations deploy Field Programmable Gate Arrays (FPGAs) to maintain performance while shielding their increasingly connected devices and data from attacks. Specifically, we take a closeup look at how FPGAs can be easily updated to protect devices at the edge and examine how this custom hardware provides a solid platform for implementing industry standards necessary for securely authenticating, updating, and sharing data across a network.

Join us as we explore these ideas with: Mark Frost, Technical Marketing Manager, Intel Louis Parks, CEO, Veridify Christina Cardoza, Associate Editorial Director, insight.tech

Mark and Louis answer our questions about

• The challenge with OT security
• Top trends and challenges in the security industry
• How today’s security solutions need to evolve
• What FPGAs are and why they are important
• The state of organizations’ security strategies
• FPGA support for industry recommendations
• OT network security tools and technologies
• Ongoing partnerships to address security issues

Related Content

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

Are you getting a full picture of what is going on in your business or industry? Whether you are in healthcare, retail, manufacturing, education, or smart cities, it’s important to be able to understand what is happening at all times. But too often security and video surveillance solutions are not connected, which can result in loss of data, false alarms, and missed opportunities.

By having a unified security solution to monitor, maintain, and manage your physical assets, users can easily get a single view of everything going on in their business and abstract valuable data. 

In this podcast, we talk about the benefits of unified security solutions versus standalone systems, how to overcome the challenges of deploying these solutions, and the latest capabilities in the physical security space.

Join us as we explore these ideas with: David Trujillo, Sales Engineer, AxxonSoft Christina Cardoza, Associate Editorial Director, insight.tech

David answers our questions about

• (1:21) Recent evolutions and changes in the security landscape
• (4:43) Integrated versus unified security solutions
• (7:45) Privacy considerations for video surveillance systems
• (11:12) Challenges businesses face when deploying security systems
• (12:11) How to leverage existing infrastructure
• (13:41) Business opportunities that unified security systems present
• (15:00) The role of artificial intelligence across verticals
• (16:48) Business use cases for unified security

Related Content

For the latest innovations from AxxonSoft, follow them on Twitter at @AxxonSoft_EN and on LinkedIn.

Healthcare is in the midst of a technological revolution. Just look at the past couple of years as telehealth, remote monitoring, and digital data access have taken patient care to previously unimagined levels. And now augmented reality (AR) promises to further transform the healthcare experience by making it possible to simulate diseases, visualize surgeries, and strengthen both diagnoses and treatment.

In this podcast, we dive into the promise of AR, and examine how deploying this interactive technology is a win-win-win for the healthcare industry. Specifically, we learn how AR helps put patients at ease by keeping them informed and empowered. We also hear how AR improves and streamlines physicians’ training. And we detail how AR guided surgery makes a huge difference for surgeons and physicians in the operating room. 

Join us as we explore these ideas with: Shae Fetters, VP of Sales, Novarad Dr. Michael Karsy, Assistant Professor, University of Utah Christina Cardoza, Associate Editorial Director, insight.tech

Shae and Dr. Karsy answer our questions about

• How augmented reality transforms the healthcare space
• Introducing AR in operating rooms
• Educating staff and patients on the use of AR technology
• Hardware and technology components of AR-guided surgery
• Partnerships enabling this technology in hospitals
• AR compared to traditional OR methods
• The future of AR in healthcare
• Additional opportunities for AR in the future

Related Content

To learn more about augmented reality in healthcare, read AR and AI Change the Game in Medical Imaging. For the latest innovations from Novarad, follow them on Twitter at @NovaradCorp and on Linkedin.

Over the years, few things have changed as much as manufacturing. Today, factory machines and industrial devices are constantly communicating, connecting to the internet, and exchanging massive amounts of data.

But while increased machine interactions are a transformative element of Industry 4.0, they’ve also opened the door to multiple challenges—including disparate devices hindering data transfer and a rising number of security threats.

In this podcast, we discuss attempts to reduce complexities associated with smart factories, specifically blending of IT and OT technology into a single network spanning wired and wireless technologies. We also take a closeup look at open industrial interoperability standards from the OPC Foundation, and examine how these efforts are establishing themselves as the future of the industry by enabling manufacturers to simply and securely “connect anything to anything.”

Join us as we explore these ideas with: Bernhard Eschermann, CTO of Process Automation, ABB Stefan Schönegger, Vice President of Product Management, B&R Automation David McCall, Senior Director of Industrial and Consumer IoT Standards, Intel®Peter Lutz, Director of Field Level Communications, OPC Foundation Christina Cardoza, Associate Editorial Director, insight.tech

Bernhard, Stefan, David, and Peter answer our questions about

• Biggest challenges on the factory floor
• Overcoming industrial device communication complexities
• The pros and cons of today’s digital technologies
• The OPC Foundation’s role in industrial communication
• An update on the OPC-FX standard
• How OPC Foundation’s open standards benefit manufacturers
• The importance of working with partners on open standards
• What’s next for the OPC Foundation

Related Content For the latest innovations from ABB, B+R, Intel®, and OPC Foundation, follow them on Twitter at @ABBgroupnews, @BR_Automation, @Inteliot, and the @OPCFoundation; and LinkedIn at ABB, B&R Industrial Automation, Intel Internet of Things, and OPC Foundation

Today, companies are on a never-ending quest to cut costs and shrink production time. To achieve those goals, they increasingly turn to digital twins to pinpoint process failures before any product goes into production.

While available for years, this virtual-model technology increasingly helps organizations test performance and efficacy by transferring live data from a real-world system to its digital replica. The result: instant visual feedback that elevates risk assessment and decision-making.

In this podcast, we examine the central role that digital-twins technology plays in machine testing, simulation, monitoring, staff training, and maintenance. In addition, we detail how factories harvest mountains of data by using digital twins to pinpoint valuable information and extract maximum value. 

Join us as we explore these ideas with:

Martin Garner, COO of CCS Insights Ricky Watts, Industrial Solutions Director at Intel®Christina Cardoza, Associate Editorial Director at insight.tech

Martin and Ricky answer our questions about

• The definition of digital twins
• What digital twins means to the manufacturing industry
• The challenges of new digital technologies
• How to successfully implement digital twins within the factory
• What skills manufacturers need to be successful
• Tools and technologies for digital-twin adoption
• The ecosystem of partners making digital twins possible
• Final key thoughts and takeaways

Related Content

To learn more about digital twins in manufacturing, read CCS Insight’s white paper on the topic. For the latest innovations from CCS Insight and Intel, follow them on Twitter at @ccsinsight and @Inteliot, and on LinkedIn at CCS-Insight and Intel-Internet-of-Things.

Fact or myth? Brick-and-mortar stores are dead and buried. Given the recent trend toward online shopping, it must be true, right? Wrong. Believe it or not, it is a myth.

 

Brick-and-mortar stores are alive and well. And they are only improving as they undergo a digital evolution and search for new ways to create “intimate” in-store customer engagements in a world that increasingly embraces the convenience of online shopping.

 

In this podcast, we take a close-up look at how offline and online are merging—and how this developing omnichannel relationship will impact consumer engagement going forward. Plus, we examine how retailers are successfully sifting through massive amounts of customer data to hyper-target messaging and drive in-store sales.   

Join us as we explore these ideas with: Jay Hutton, Co-Founder and CEO, VSBLTY Christina Cardoza, Associate Editorial Director, insight.tech

Did you know that commercial and industrial buildings contribute to almost half of the world’s carbon footprint? When you think about it like that, you can see why more and more businesses are committing to aggressive sustainability goals. And the best way to achieve net zero or carbon neutrality is by creating smart, connected, and sustainable buildings—especially in today’s hybrid work environment.

For example, if only half your workforce comes to the office at any given time, it doesn’t make economic sense to keep all the lights on all the time. And it’s more than just lights. It’s HVAC systems, air quality, security systems, and power supply that all play a role—from office spaces to bathrooms, cafeterias, and even parking lots.

In this podcast we look at what a smart building means, technologies that make a building “smart,” and the role buildings play in larger sustainability efforts.

Join us as we explore these ideas with: Graeme Jarvis, Vice President of Digital Solutions, Johnson Controls Sunita Shenoy, Senior Director of Technology Products, Intel®Christina Cardoza, Associate Editorial Director, insight.tech

Graeme and Sunita answer our questions about:

• The challenge of today’s hybrid work environment
• Energy use and sustainability challenges in buildings
• Efforts that lead to buildings becoming more energy efficient
• How technology drives smart and sustainable buildings
• How to leverage existing IT and connect disparate systems
• Smart and sustainable building use cases and examples
• Intel-led sustainability efforts and goals
• The power of partnerships

Related Content

To learn more about smart buildings, read The Future of Smart Buildings? Net Zero. For the latest innovations from Johnson Controls, follow them on Twitter at @johnsoncontrols and LinkedIn. 

Machine learning is no longer just for the AI experts of the world. With ongoing initiatives to democratize the space, it’s for business users and domain users now, too. Users no longer need to have any programming language knowledge to build and deploy machine learning models.

But democratizing machine learning does not mean data scientists and machine learning engineers are now obsolete. When machine learning becomes simplified, it means less time spent  acquiring the data, transforming the data, cleaning the data, and preparing the data to train and retain models. Instead, they can focus on the core aspects of machine learning like unlocking valuable data and enabling business results.

In this podcast, we talk to machine learning solution provider MindsDB about why machine learning is crucial to a business’ data strategy, how democratizing machine learning helps AI experts, and the meaning of in-database machine learning.

Join us as we explore these ideas with: Erik Bovee, Vice President of Business Development, MindsDB Christina Cardoza, Associate Editorial Director, insight.tech

Erik answers our questions about

• The state of machine learning adoption
• Giving businesses the confidence to create machine learning models
• Machine learning challenges beyond skill set
• Benefits of democratizing machine learning for data scientists
• The importance of in-database machine learning
• How data scientists can leverage MindsDB’s platform
• Use cases for in-database machine learning
• The best places to get started on a machine learning journey