Skip to content
‹ Back to IndustriesSoftware & Technology

Solving Consumer-Facing Challenges Through Open-Source Technology

Consumer-facing industries such as retail and hospitality need help to get to their solutions faster. Accelerating solution-based development is a critical step to accomplishing this goal. Communicating with devices at the edge has proven a challenge for these sectors, as their primary concern is accessing that data, not necessarily the process that drives the result….

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Software And Technology · · AiEdgeEdge ComputingEdge Solutions
Share

Key takeaways

01

Consumer-facing industries such as retail and hospitality need help to get to their solutions faster.

02

Accelerating solution-based development is a critical step to accomplishing this goal.

03

Communicating with devices at the edge has proven a challenge for these sectors, as their primary concern is accessing that data, not necessarily the process that drives the result….

Free workspace

Turn your Software & Technology expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Consumer-facing industries such as retail and hospitality need help to get to their solutions faster. Accelerating solution-based development is a critical step to accomplishing this goal. Communicating with devices at the edge has proven a challenge for these sectors, as their primary concern is accessing that data, not necessarily the process that drives the result. Time and resources on this end aren’t necessarily where retailers want to devote their budgets. 

How can these industries overcome these challenges? That’s where the Intel and open-source communities like EdgeX can help. To the Edge and Beyond’s Gabrielle Bejarano spoke with Intel Product Engineer Sean Williams on how Intel utilizes open-source solutions to overcome the communication hurdles and get industries the data they need to solve pressing business problems. 

One such open source-based solution, Williams said, is a camera management inferencing solution, which provides device connectors. “These device connectors allow you to communicate, connect, and control IP cameras at the edge. Out of the box, if you have this example, you can just download the software, launch the software stack, and immediately you’re talking, and you’re connecting to other IP cameras or USB Cameras at the edge.” 

The solution also helps retailer face problems like theft and inventory management using object detection.“If you’re in an environment where retailers want to know the inventory, if the inventory is low, you can do on-the-shelf observations,. “You can also capture when customers are using self-checkout to incorrectly register expensive items like a bottle of wine with inexpensive items like bananas” – Williams said.  

Shaping these solutions doesn’t happen alone; collaboration makes the best technology offerings come to life. “We’re working primarily with the EdgeX community, and that’s the open-source platform that provides many of these plug & play connectors that I’ve talked about,” Williams said. “And that’s the power again, right, because the power is in the data. And the data comes from how you can talk to those devices at the edge. Using EdgeX, as the name offers, allows these connectors to be validated, tested, tried and true, and almost out of the box, you can say, hey, I want to talk to an RFID sensor; you get the RFID connector.” EdgeX provides the ability to connect to all these sensors across many industries. 

Learn more about open-source solutions for retail and hospitality industries by by connecting with Sean Williams on LinkedIn or visiting EdgeX.

Check out the EdgeX Camera management sample application.

Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Network and Edge Solutions Group.

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

SA
Software And Technology
B2B Weekly

The week in Software & Technology, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Software & Technology Insights

Google’s Most Powerful AI Model Went to Cyber Defenders First—A Signal for B2B Access

Google’s Most Powerful AI Model Went to Cyber Defenders First—A Signal for B2B Access

Google launched Gemini 4 Argon, its most capable AI model, with gated access rolling out first through the Fairwind Program to “trusted cyber defenders,” with paid API customers and Google AI Ultra subscribers next—signaling a shift from open consumer launches to trust-based, tiered enterprise distribution. Argon supports up to 1 million output tokens and posts knowledge-work and engineering benchmarks like 51.3% on AutomationBench and 77.9% on DeepSWE v1.1.

  • 011 million output tokens enable end-to-end deliverables: complete codebases, financial analyses, or legal drafts in a single pass, changing the unit of work for knowledge professionals.
  • 02Fairwind Program already includes 650+ organizations across government, critical infrastructure, and security partners; Wiz used Argon to find a critical healthcare vulnerability previous frontier models missed.
  • 03AI governance programs are now procurement requirements; enterprises should audit security and data controls, map high-cost knowledge workflows (contract review, financial modeling, codebase modernization), and evaluate models by task rather than by vendor.

Sep 30, 2026

Adobe's AI-first recurring revenue grew more than 150% in a year

Adobe's AI-first recurring revenue grew more than 150% in a year

Adobe's fiscal third-quarter results highlighted AI-first annual recurring revenue growth of more than 150% year over year. Total annualized recurring revenue reached $27.5 billion. Adobe also moved to a single reportable segment to support unified selling, which suggests buyers could see combined pitches at renewal.

  • 01Adobe now reports as a single segment to support unified selling. Companies that buy Adobe products through different departments could get one combined pitch at renewal.

Sep 28, 2026

Phocas finds 39% of distributors don't measure sales forecast accuracy

Phocas finds 39% of distributors don't measure sales forecast accuracy

Phocas surveyed more than 100 wholesale distributors and found that 49% are now using AI for selling. Yet 39% don't track sales forecasting accuracy. Without that baseline, many sales leaders could struggle to show whether their AI tools improved results. The win-rate tracking is notably lower for those focused on growing existing accounts rather than winning new ones.

  • 01For the 39% of distributors that don’t track forecast accuracy, there’s no baseline for judging whether AI made the next forecast any better.
  • 02Priorities set the scorecard: 87% of distributors chasing new customers track new-business win rate, against 46% of those focused on growing existing accounts.
  • 03Field or outside sales remains the most effective channel (55%) versus e-commerce (5%), and the survey suggests AI will be used alongside reps rather than replacing them.

Sep 27, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

SA
Software And Technology

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512