Published to clients: September 29, 2025 ID: TBW2087
Published to Readers: September 30, 2025
Published to Email Whispers: TBD
Public and Video Release: TBD
Analyst(s): Dr. Doreen Galli
Photojournalist(s): Dr. Doreen Galli
Abstract:
“The creator economy is no longer a niche—it’s a strategic force reshaping media, marketing, and consumer expectations. This report explores how businesses can partner with creators to unlock scalable engagement, rival traditional media in quality and speed, and adapt to a market where authenticity and agility win. Insights from NAB Show 2025 reveal why enabling creators isn’t optional—it’s essential. “
“Media companies now favor hybrid cloud workflows for flexibility, speed, and cost-efficiency. Open standards ensure interoperability, while strong security protects valuable IP. Experts stress aligning cloud use with business goals, maintaining control and visibility, and using cloud strategically—not universally—to optimize collaboration, performance, and infrastructure investment.”
Cyber-physical security, like healthcare tech, must carefully manage PII. Experts highlight privacy-preserving biometrics, user-controlled consent, and anonymous face matching. Regulatory compliance, such as GDPR, drives standardization and innovation. As laws vary by region, adaptable and consistent global system architectures are essential for scalable, secure, and compliant operations.
Public and Video Edition Released: August 11, 2025 11am
Analyst(s): Dr. Doreen Galli
Photojournalist(s): Dr. Doreen Galli
Abstract:
“Integrating AI customer service with existing IT systems starts by setting clear business goals. AI should enhance, not disrupt, current workflows and streamline real-time support. Every organization has unique systems, so tailored integration is essential. A major challenge is fragmented data—making robust pipelines and clean, synchronized data critical. Accurate timestamps and system compatibility across platforms are key to ensuring effective AI performance and a smooth digital transformation journey.”
Target Audience Titles:
Chief Information Officer, Chief Technology Officer, VP/Director of IT Operations, Enterprise Architects
Chief Customer Officer, VP/Director of Customer Services/Success, Contact Center Operation Managers
Solution Architects, DevOps & IT Administrators, Customer Support Agents, Data Scientists and ML Engineers
Key Takeaways
Start with clear business goals so AI enhances workflows without causing disruptions.
Tailor integration to your unique tech environment to avoid inefficiencies.
Reliable, clean, and synchronized data pipelines are essential for effective AI-driven customer service.
We took the most frequently asked and most urgent technology questions straight to the technologists gathering at Customer Connect Expo 2025 held at the Las Vegas Convention Center. This Whisper Report addresses the question regarding how can we integrate AI-driven customer service solutions with our existing IT infrastructure? As Ford’s Dr. Kalifa Oliver shared, “first we need to break down our needs and our goals and figure out which pieces of AI actually build efficiencies in our IT systems because right now there are too many systems that are fragmented.” With ALL AI projects, it is best to start with the business goal not the technology. We do not want to spend resources to integrate technology that goes unused. Furthermore, the context of the business goal helps guide engineers when they have design choices to make.
AI in Customer Service is all about optimizing and improving the customer service workflow to lead to maximum customer satisfaction. As Zaon’s Jason Kaufman shared, “using artificial intelligence tools within the organization to actually help drive and make more efficient the processes that go into place in order to support good customer service. For example, leveraging artificial intelligence to actually analyze chats real time community forums real time. Actually monitoring that (the communities) helping to gain insights about what your customers have questions about so that you can leverage the AI to actually generate the knowledge on the fly to actually provide that (information removing confusion) back to them real time as if it’s another person on that community thread.” The nonobvious challenge in achieving this solution is best described by Claritiv’s CEO Sean Gigremoss. “Everybody has workflows. Every company is unique. What tools do they use? What products do they use now? Do we need to build it?” In other words, every organization has a unique, highly mixed environment with varying degrees of maturity both in the technology itself and the organization’s ability to deploy technology.
Verse.ai’s Zac Brooksher recommends focusing on complimenting the current workflows and processing. “We can integrate AI driven customer service solutions using full funnel metrics understanding all of the conversations the timestamps the channels the appropriate team members what next steps are all integrating into existing systems and processes just to complement what the current workflows and data processing is today like.” Any technology not realizing it is complimenting an existing process will instead create process interrupts. The distinction really is a big difference.
As Claritiv’s Sean Gigremoss shared, data is everywhere! “They make it so easy for us to integrate because in the end that’s important because all the data are in this different .. disparate systems. You need information from Salesforce you need information from zoom you need information from slack you need information from your database you need information from your customer’s database so to be able to do that you need to make sure that you’re using the tools or you’re partnering with companies that help you so that you can focus on what you do best.”
But the data isn’t just everywhere, it comes from everywhere. The first obvious location was shared by Enthu.ai’s Atul Grover, “we integrate with the telephony at the dialer.” And the rest such as the web and email communications, “we ingest that using an API driven environment.” Diabolocom specializes in capturing all that occurs between the customer and the organization on mobile devices. As Diabolocom’s Benjamin Shakespeare shared, “with our mobile solution that we are about to release
the market .. So all field reps anybody who is using a cell phone today with every interaction they have on their phone our AI will then score that call transcribe it and push it directly into the CRM So any lack of compliance that you are seeing today in your organization from people that are not sitting behind a computer that will be no longer.”
Now that we understand we are complimenting the existing customer experience workflows for the benefit of the customer experience and that data is everywhere, what can we do? As Macy’s Siva Kannan Ganensan shared, “you need to make sure your data pipeline is very robust when we talk about all this AI integration data is the core so make sure the data is cleansed and always readily available ready to serve with that we’ll be able to integrate an into your existing architecture or in your organization.”
Figure 1. Compliment Workflows & Leverage Robus Data Fabric
It’s all about the data infrastructure! You need robust data pipelines as part of your data fabric to seamlessly integrate any new AI offering as depicted in Figure 1. AND you must ensure data quality. For example, data quality is paramount when dealing with timestamps of customer communications. What time zone is your organizational standard? Do your IT systems work in that time zone, and do you know what systems provide timestamps in other formats or time zones? Is that true for any and all corporate acquisitions feeding data into the system? Is the system designed to handle the variety of daylight savings time scenarios? Are all the clocks adjusted for daylight savings automatically or manually? Finally, are the timestamp clocks aligned? To the second or to the minute? It’s valuable to know if you can look at time as fact or approximation in your organization. If your organization is going through any type of digital transformation, it is critical to get the best advice available to ensure your success. Ensure your success by scheduling your inquiry with a TBW Advisors advisor before starting any critical phase of your digital transformation journey. Get the smartest advice available and leverage our firsthand experience to your advantage.
AI is transforming media and entertainment, reshaping workflows and automating the tedious. This shift isn’t new—it’s an evolution already well underway. While concerns about disruption persist, AI is proving to be a powerful tool that enhances efficiency, making content more accessible and refining quality. From metadata enrichment to streamlined production, AI empowers professionals by eliminating the mundane and allowing more focus on creativity. Rather than replacing jobs, it shifts how work gets done, seamlessly integrating with existing processes to unlock new possibilities in storytelling, production, and distribution. The industry is adapting, and AI is at the heart of that transformation.
Target Audience Titles:
Chief Technology Officer, Chief Supply Chain Officer, Chief Digital Officer
Chief Data Officer, Chief Marketing Officer, Chief Content Officer
Head of AI and Machine Learning, Data Scientists
Product Managers, Content Managers, Sound Engineers, Distribution Engineers
Production Technologists, Streaming Platform Developers
Chief Technology Officer, Chief Supply Chain Officer, Chief Digital Officer
Key Takeaways
AI is transforming workflows, automating the tedious, and reshaping media and entertainment.
Efficiency gains let creators focus on storytelling while AI enhances accessibility and searchability.
AI isn’t replacing jobs—it’s evolving how work gets done, integrating seamlessly into production processes.
We took the most frequently asked and most urgent technology questions straight to the Technology experts gathering at NAB Show 2025. This Whisper Report addresses the question regarding how can AI and machine learning transform media and entertainment?
As DeepDub’s Oz Krakowski stated, “We see is a lot of the work that was done before is now done in different.” These changes have already hit the headlines for as Dell Technologies’ Tom Burns pointed out, “Everybody’s all concerned with Gen AI but of course the writers and actors strikes were all about that.” Thus this AI transformation is not new but rather is currently underway. Latakoo’s Jade Kurian offered this perspective. “The question now is how do we do this thoughtfully? How do we do it in a way that we don’t compromise ethics – where we don’t compromise people’s jobs? How do we make it flow back and forth where we take advantage of AI and machine learning to make our lives easier, make our lives better, and make entertainment and media better.” Cinnafilm’s Dom Jackson suggests we take another step back to gain a larger perspective, “There’s a lot of fear around AI and those technologies and in that sense, I see those as part of a continuum of ongoing automation processes that have been going on since the industrial revolution. Everyone’s always scared when something new comes along and then very quickly it becomes normal and it empowers us to work in new and different and usually more efficient ways.” See Figure 1 for the Cornucopia of AI use cases suggested. Let’s explore some of those new, and different, more efficient ways.
One thing is for certain, there is no shortage of opportunity for AI to positively impact the media and entertainment sector. The favorite use case among all users, as Strada’s Michael Cioni put it, “AI is best for our industry as a utility form to do the mundane tasks .. we need AI that automates mundane tasks like color correcting sound noise reduction, video audio noise reduction, face tagging, locations, objects, emotions – those are all the things that no one wants to sit and log footage. AI can log it for us.” Or per Ross’s David Green, “AI is going to make us more efficient and more effective and let us focus on what we love doing which is creating amazing content.” No matter which perspective you prefer – the elimination of the mundane or the freeing up to do the fun parts – AI is here to stay in media workflows. As Dell’s Tom Burns observed, “Machine learning has already transformed media and entertainment in so many invisible ways from security to fixing single pixel defects to all kinds of low-level network functions and automated provisioning.”
When it comes to all that stored media, there are plenty of suggestions of how AI can assist as well. Per SNS’s Alex Hlavaty, “It actually can be an incredibly helpful buddy to sort through the stuff we don’t want to do parse through petabytes worth of information. Help us find assets more quickly and just interact with our data in a much more meaningful way while reducing man hours doing things that are laborious.” . Eon Media’s Greg Morrow observed, “our customers have large libraries of video files that only have a file name or have just a a small title. We really enriched those assets with information to make those assets more usable by identifying people places things emotional sentiment um ethnicity as part of those assets.” Dell Technologies’ Tom Burns denoted, “One of the GEN AI things that is proving to be useful is for companies that have large archives or studios that have that have the rights holders to a lot of content, using AI to extend the metadata and inform them of what they actually have in their archive allows them to make that more searchable and therefore more monetizable on.” Increasing metadata for the purpose of search and the related business cases that come from having truly searchable content is a common theme. As Axle.ai’s Sam Bogoch simply stated, if, “they can’t find it they can’t reuse it.”
In some of the use cases such as sound editing, it has completely transformed the task at hand. As DeepDub’s Oz Krakowski observed, “just like you cannot imagine a graphics designer not using Photoshop it’s unheard of right however 20 years ago this was extremely questionable nowadays thinking of doing voice design and editing dialogues without using AI.” Ross’s David Green offers additional suggestions, “things like camera tracking so instead of having to every single second manually figure out where things are and do manual keying you know markers and those sort of things we can use AI to automatically be able to do those things .. instead of having to flip through a manual.” Dell’s Tom Burns observed, “when you render your VFX AI upsampling has gotten so good now that you can render at 2K and up to 4K and it looks better than if you rendered at 4K in the first place.” Wow! Upsampling rendering better than if it was 4k in the first place – now that is an improvement – by definition. Localization is another area that has been drastically impacted by AI. Today, with AI tools such as Yella Umbrella are, “making content accessible to users that wouldn’t have access to it normally either because there’s no one to localize that content or just because the content that they want to access is not available in the accessibility form that they prefer.” If the form you prefer isn’t about language but more about duration, Magnify’s Ken Ruck shares today one can, “edit automatically (and) create clips automatically.” Clients may recall our coverage of Conference Whispers: NAB Show 2023 when automated shorts were first highlighted.
One of the most treasured advancements is that of workflow automation. As Eon Media’s Greg Morrow stated, “workflow automation to improve the efficiency of a media organization in order for the people in the organization to create higher value content and less of the drudgery work.” In other words, AI can transform Media and Entertainment by enabling all to do more with less. But if you are worried about your job, Cinnafilm’s Dom Jackson assured, “strangely ultimately people always end up having jobs they’re different jobs but people always end up with plenty of work.”
To manage tariff costs in the supply chain, a two-pronged approach is recommended: cleaning up data for better decision-making and optimizing cost parameters. Digital transformation is crucial for navigating tariff challenges. Additionally, avoiding hidden costs, moving on-shore, reducing cycle costs, and leveraging free trade zones can help. Utilizing tools to understand total landed costs and diversifying suppliers and logistics providers are also key strategies.
What is the dominant advice?
We took the most frequently asked and most urgent questions straight to the logistics and supply chain experts in the industry. This Whisper Report addresses the question regarding how to manage tariff costs in one’s supply chain. For any professional* even tangentially involved in anything to do with fulfillment, supply chain, and logistics, it is easy to become panicked at the talk of tariffs. Beyond supply chain and logistics professionals, operations and financial executives are impacted by what is going on as are the technologists and data experts that are required to thrive in such environments. As 4flow’s Adam Poch shared, “You have to have a nimble and agile supply chain to navigate that”. Or as FreightFacts’ Lance Healy put it, “our job is to react, anticipate if we can, but apply technology. “ This suggests a two-pronged approach. Clean up your data so you can optimize costs.
Vizion’s Ben Tracy suggests and offers, “transparent and easy to access data to empower intelligent supply chain decisions. “ Yes, digital transformation is required to successfully navigate this challenge. If you have not done so there is no more time to wait. Many solutions expect the data has been collected for a technology team to clean and provide intelligence over. But logistics data is not transactional data nor does it have a history of being clean and collected like financial data. In fact, logistics and supply chain has some of the messiest data with many suggesting over 30% dirty and useless. Research regarding a large variety of vendors involved in cleaning and digitizing logistics and supply chain can be found in Conference Whispers: Manifest 2025 and Conference Whispers: Smart Retail Tech Expo 2024. This is a significant area of expertise offered to our clients through inquiry privileges.
For those somewhere on the digital transformation maturity scale, the problem regarding managing tariffs costs now boils down to continuing to find ways to transform and manage supply costs. As summary of the 6 actions to manage tariff costs can be found in Figure 1.
Sensos’s CEO shared a story about how they onboarded a customer who was blindsided with hidden costs when products went through Africa without their knowledge. Per TrafficTech’s Hilary Ambro, “work with a customs broker with is vested in and understands your trade lanes as you are moving products so you can minimize those costs.”
An obvious way to reduce costs associated with tariffs is to move on-shore. Hoptek’s Sean Maharai suggests, “working towards on shore, raw materials and ability to manufacture (and assemble) on shore”. Or as Mark Richards at AWI Logistics put it, “People are redesigning their supply chains. Instead of distribution in Canada or Mexico servicing the US, they are bringing the distribution back to the US.”
Any and every place one can reduce costs is valuable in such uncertain times. An exciting solution that can impact your cost per pallet offering next day delivery at ground shipping costs is Aeros. Aeros is a EVTOL (electric, vertical take of and landing) vehicle that appear like a blimp and hovers over urban areas with the goods to deliver, drones and related charging stations with line of sight to deliver and drone operators to operate. Rye Akervik shared that their company, Shipsi is an aggregator of last mile and middle mile networks. Shipsi’s solution is to, “rate shop those networks, find the best partner, the best SLA and manage that customer experience. “ Verity’s Taylor Wilson recommends, “utilizing free trade zones to delay the Tariffs and related payments to improve your cashflow.” Finally, if you are traveling between Canada and USA, there is a new solution coming online Fall of 2025. As Manny Paiva of the Gordie Howe International Bridge shared, “You have a Highway to Highway route connection that will allow transport trucks to get their goods across the border within ~11 seconds!”
If an organization has reached digitization maturity, they can leverage top tools to understand their total landed costs. As Yikun Shao of Alibaba.com shared, they offer solutions with “tools to provide transparency to all of costs related to cross border movement of goods so they can make more informed decisions.” But Alibaba.com doesn’t stop there. They also provide tools to directly enable “you diversity of suppliers as well as logistic providers so you have options available. “At the end of the day, managing costs associated with Tariffs is a subset of managing the total landed costs of any goods.
*When vendors’ names or quotes are shared as examples in this document, it is to provide a concrete example of what was on display at the conference or what we heard doing our research, not an evaluation or recommendation. Evaluation and recommendation of these vendors are beyond the scope of this specific research document.
When selecting technologies for your data architecture, it is important to understand common use cases enabled by the technology. This research examines six use cases enabled by data validation and the architecture capabilities used to support the use case. To this end, we examine the validation of ingestion and transformations, the data migration, as well as cloud update use cases. The use cases for production monitoring, completeness of data sets, the ability to compare BI tools’ values, as well as data DevOps are also evaluated.
Many IT departments are beginning to work with sensor data – but sensor data is different from transaction data. Sensor data may arise out of IoT applications or operations engineering integrations with IT. The consequences of application failure with sensor data may result in the loss of millions of dollars, explosions, or death. Sensor data is not accurate, and all values must be cross-checked before critical action is taken. Sensor data is voluminous and is often stored in time-series databases. It is important not to confuse tag databases with metadata tags. Finally, sensor data often lacks all context which must be added.
Digitally transformed organizations expect reliable, data-driven decisions, but data-driven decisions require reliable data if the business is to maintain decision integrity. Don’t stop short with only providing data quality that is responsible for standardizing data. All data integrations must be verified and transformations must be validated to ensure decision integrity. Historical methods of “stare and compare” or leveraging SQL scripts are not efficient, nor do they meet governance requirements. Some modern data validation tools can validate even the largest data sets.
Clouds are known for the ability to be purchased via operational expenses (OpEx) versus capital expenses (CapEx). In addition, clouds provide software, infrastructure and even the platform itself ‘as-a-service,’ enabling auto-scaling, auto-update capabilities and ease of administration. This research examines vendor products that bring cloud-like features to the edge and on-premise. This includes capabilities that enable a seamless edge/cloud hybrid experience.
