#AdTech innovation

[floatinggarden24]

https://www.folkd.com/entry/133095-sewage-treatment-with-floating-gardens-sustainable-technology/

[peterbordes]

We are thrilled to see BeOp launch their AI application to build conversational content performance ads for the attention economy that drives brand reach, traffic, and most importantly intent-based transactions.

Their next-generation platform is built for today, and tomorrow, bringing together modules for publishers and brands to engage audiences with their unique conversational ads that increase attention and intent. As well as generate, and capture data in their DMP for both supply and demand partners. Who can then push to their CRM, DMP, or CDP. This is very aligned with our belief in audience data empowerment.

[aishuglb12]

Jeffrey Katzenberg Champions AI-Driven Video Advertising with Strategic Investment in Creatify

In a significant move that underscores the evolving landscape of digital advertising, Jeffrey Katzenberg, co-founder of DreamWorks and managing partner at WndrCo, has co-led a $15.5 million Series A funding round for Creatify, an innovative AI-powered video advertising platform. This investment, shared with Kindred Ventures, marks a pivotal moment in the fusion of artificial intelligence and marketing, aiming to revolutionize how brands create and deploy video advertisements.

Understanding Creatify’s Mission and Vision

Creatify is an AI-driven platform designed to automate the entire lifecycle of video advertising. From conceptualization to execution, Creatify leverages advanced generative AI models to produce high-quality video ads tailored for various digital platforms. The platform’s core mission is to democratize video ad production, making it accessible, efficient, and scalable for businesses of all sizes. By eliminating traditional barriers associated with video production—such as high costs and extended timelines—Creatify empowers brands to engage their audiences more effectively.

Timeline of Creatify’s Development and Strategic Plans

The Genesis and Leadership Behind Creatify

Creatify was introduced by a team of seasoned professionals with backgrounds in leading tech companies such as Snap Inc., Meta, and Airbnb. Yinan Na, co-founder and CEO of Creatify, envisioned a solution that addresses the complexities and inefficiencies of traditional video ad production. Drawing from their collective experiences, the team developed a platform that harnesses the power of AI to streamline and optimize the ad creation process. The leadership’s deep understanding of both technology and advertising has been instrumental in shaping Creatify’s innovative approach.

Significance of the Investment and Its Implications

Jeffrey Katzenberg’s investment in Creatify is significant for several reasons. Firstly, it highlights the growing recognition of AI’s potential to transform the advertising industry. Katzenberg’s involvement brings not only financial backing but also strategic expertise and industry credibility. His decision to join Creatify’s board further emphasizes his commitment to the company’s vision. This investment also signals a broader trend of convergence between technology and creative industries, where AI is increasingly seen as a catalyst for innovation.

Rationale Behind the Investment Decision

The rationale behind this investment stems from a clear understanding of market dynamics and future trends. The advertising industry is undergoing a paradigm shift, with brands seeking more agile and data-driven solutions to engage consumers. Creatify’s AI-powered platform addresses these needs by offering a scalable and efficient alternative to traditional ad production methods. Katzenberg’s investment reflects a strategic alignment with this vision, recognizing the potential for AI to redefine advertising paradigms.

Read More : Jeffrey Katzenberg Champions AI-Driven Video Advertising with Strategic Investment in Creatify

[impact-newswire]

Expandi Limited and Kompass Announce Strategic Alliance to Transform B2B Marketing, Advertising and Data Solutions

May 12, 2025 – London, UK / Paris, France – Expandi Limited, Europe’s most recognized B2B MarTech and AdTech vendor and one of the leading worldwide, and Kompass, a global leader in B2B SalesTech and MarTech solutions and editor of the marketplace www.Kompass.com, have entered a groundbreaking alliance. This partnership aims to redefine how businesses connect, market, and grow by leveraging…

[adalidda]

Insight Fusion Sponsorship Packages

Insight Fusion is transforming the future of agriculture and agribusiness with innovative sponsorship packages that fuse advanced AI solutions and digital marketing expertise. Our offerings include the Gold, Platinum, and exclusive Country Representative memberships, each meticulously designed to provide businesses with premium support, personalized assistance, and significant AI credits to explore cutting-edge Paid AI Models.

The Gold membership is perfect for companies seeking enhanced brand visibility and robust support, featuring clickable logo placements on our app and across all digital communications. The Platinum package ups the ante with increased AI credits and even more prominent brand promotion, ensuring that your business stands out in a competitive market. For companies ready to take the lead in their region, our Country Representative package offers exclusive benefits, including dedicated AI assistance, strategic revenue sharing, and custom server installation, making it the ultimate package for market dominance.

By partnering with Insight Fusion, you not only enhance your digital presence but also gain a competitive edge through tailored marketing materials and targeted promotional strategies. Each package is designed to help you achieve growth, build lasting partnerships, and drive success with technology at the forefront.

Discover all the details in our full article and learn how these sponsorship packages can transform your business strategy. Read on to see how you can join the revolution in agritech innovation.

[cyberanalyst023]

Edge Computing: Extending the Power of the Cloud

When I embarked on my journey into the world of cloud technologies, I had little idea how transformative it would be. The sheer breadth of cloud concepts and services initially overwhelmed me. I found it challenging to connect theoretical knowledge with practical applications, often feeling lost amidst the jargon and complexities. However, these problems transformed into learning and understanding by following a well-defined course and experimenting with projects gradually. My foundational knowledge came from an in-depth cloud computing online course with the ACTE Institute. This established a comprehensive view of the foundational aspects of clouds, which, later in life, served as the backbone for my profession as a solution architect. Initially, it was difficult to comprehend the scope of services and technologies, but structured learning with practical examples bridged the gap.

What is Edge Computing?

Edge computing is a technology paradigm that brings computation and data storage closer to the sources of data, such as IoT edge devices, to reduce latency and improve processing efficiency. This shift also has an impact on industries, such as reducing energy consumption and operational costs. An edge device consumes bandwidth by processing information locally, not requiring constant energy to transmit the data to a centralized server. With the reduction in reliance on cloud infrastructure, such big clouds, cost-cutting happens on data transfer as well as storing in a central location, so edge computing comes out as both cost-effective and eco-friendly. This reduces reliance on centralized cloud servers, allowing the edge servers and networks to process critical tasks on-site. Edge computing has significantly improved responses, which makes this shift vital for applications such as real-time processing in autonomous vehicles, healthcare monitoring, and industrial automation.

Edge computing also cuts down bandwidth utilization and operational cost. For example, rather than sending terabytes of raw data to the cloud for processing, edge devices filter and process the data locally, transmitting only what is relevant. This improves efficiency and enhances privacy by keeping sensitive data closer to its source.

Role of Edge Servers and Edge Networks

One of the projects that we implemented recently involved using edge servers for real-time analytics for a smart city initiative. We processed IoT data from sensors in place and saved huge amounts of time on decision-making, as was demonstrated in an example involving the analysis of traffic sensor data for congestion level updates. This improved the efficiency of traffic management systems, reduced fuel consumption from idling vehicles, and enhanced overall urban mobility. Localizing data processing further also helped reduce dependency on central cloud infrastructure for computation by saving cost and improving reliability in case of network disruptions. These scattered servers acted as intermediaries between IoT devices and the central cloud, exposed to strategic locations with the required physical infrastructure for networking. Edge networks further ensured seamless communication, thus reducing latency issues that would have otherwise hampered critical operations, such as traffic management and emergency responses.

One striking example was using edge servers for monitoring traffic congestion. By analyzing data from IoT sensors on the roads, the system provided instant updates and recommendations to drivers. This reduced delays and enhanced overall traffic flow.

Multi-Access and Mobile Edge Computing

I have also looked at multi-access edge computing and mobile edge computing as part of my work. MEC is an extension of cloud capabilities to the edge of the network, presenting the solutions required for low latency in applications such as autonomous vehicles or AR/VR experiences. For example, real-time map rendering can be available for the navigation of autonomous cars in high-traffic areas.

Similarly, mobile edge computing enables mobile devices to process data locally, which can be used for smoother gaming, video streaming, and IoT applications. A recent use case I worked on was leveraging MEC for a sports analytics platform. The platform delivered instant replays and analytics to fans in real time by processing video feeds from stadium cameras locally, creating an engaging experience.

Examples of Edge Computing in Action

During my stay at ACTE, I learned the basics that later helped me design practical edge computing examples in industries like healthcare, retail, and manufacturing. For example:

Healthcare: IoT edge devices monitor patients in real-time, providing critical data to edge servers for immediate analysis. In one hospital project, we used edge technology to track vital signs and alert medical staff during emergencies, significantly improving response times.

Retail: Edge computing technology powers personalized shopping experiences by analyzing customer behavior directly at the store. For example, an edge-based recommendation system suggested products to customers based on in-store browsing patterns, boosting sales.

Manufacturing: Edge computing devices streamline production lines by analyzing machine data on-site, predicting maintenance needs, and reducing downtime. In one factory, deploying edge servers helped identify equipment malfunctions before they escalated, saving significant costs.

Edge Cloud Computing and Platforms

Cloud providers have incorporated edge computing into their services, which gives rise to edge cloud computing. In contrast to the traditional model of cloud, which relies on centralized data centers for processing and storing data, edge cloud computing disperses such capabilities closer to the sources of data. For instance, while a legacy cloud model is likely to have latency issues with the distance between users and servers, edge cloud computing is much faster in responding because data processing is done locally. In addition, edge cloud computing reduces the amount of constant data transfer to a central server, thus cutting bandwidth costs and increasing system reliability in areas where the network is unreliable. Providers like AWS Edge Computing and Akamai Edge Compute offer robust platforms that bridge cloud and edge capabilities. AWS’s services like Greengrass enable developers to run applications locally on IoT devices, allowing for offline functionality and real-time decision-making. Similarly, Akamai’s platform accelerates content delivery and application performance, making it invaluable for industries like e-commerce and media.

During a project with a media streaming company, we used Akamai Edge Compute to optimize video delivery. This means that content will be cached nearer to users in order to lower buffering times and increase viewer satisfaction. In fact, it will show how the edge cloud is enhancing customer experience in every area.

Challenges and Future Trends

Even though edge computing has great potential, it isn't without challenges. In my projects, one challenge always kept on surfacing: making sure that distributed edge locations maintained data security. Each edge server and device offered a potential weakness, necessitating sophisticated encryption and real-time monitoring solutions. A second challenge was the high deployment and maintenance costs of edge infrastructure, which meant careful budgeting and optimization strategies. For instance, in a smart city project, we addressed the above challenges by implementing a mix of lightweight security protocols and periodic audits that balanced performance with cost-effectiveness. These experiences taught me that overcoming edge computing challenges often requires a tailored approach, aligning technology with specific project needs. Security concerns, infrastructure costs, and the complexity of managing distributed networks are significant hurdles. For example, securing data across multiple edge locations requires advanced encryption and monitoring solutions, which can be resource-intensive.

However, progress in edge computing technology is tackling the above-mentioned issues one after another. Trends include introducing AI at the edge, thus making devices capable of learning in real time and adaptation. Besides this, there will be improvement in 5G networks which is expected to strengthen edge computing as well through providing fast, stable connectivity of devices and applications.

Why Edge Computing Matters

In retrospect, I think it is unbelievable how edge computing devices and technologies have changed the way we look at data processing. They extended the power of the cloud to the very edge, which makes it possible for innovative solutions in various sectors, from better health outcomes to transforming retail experiences, and many others.

So if you are also interested in taking up a career in this rapidly changing field, I would say that professional learning is the first step. This is because such a specialized course in cloud computing course in Bangalore from ACTE Institute helped me shape my career into a solution architect. The on-the-job learning and industry insight I received continue to drive me forward in both passion and results.

[madstars-festival]

[Introducing the Final Jury for MAD STARS 2024 (3)✨]

Meet the final jury in the 'Print, Radio & Audio, Design, Direct, Strategy, Interactive, Mobile, Data Insight, Social & Influencer, Integrated, Innovation' categories, led by Suzana Apelbaum, Google Head of Creative and Innovation!

2024 Final Jury 👉 https://bit.ly/3XNrA8c

[digitalzaa]

AI-powered personalization is revolutionizing digital marketing by tailoring content and ads to individual user preferences. This technology enhances customer experiences, boosts engagement, and increases conversion rates. Marketers can now deliver highly relevant messages and offers, ensuring each interaction feels unique and valuable. Adopt AI to maintain an advantage in the cutthroat digital market! 

[dromologue]

Big foundational models like GPT-4, Gemini, Claude, Llama (aka large language models or "LLMs") are awesome, but they are not experts in your business. They are also available to all of your competitors so, creating competitive advantage requires you to train your subject matter experts to get the most out of the AI, and to augment your LLMs to be as relevant to your business as possible. Let's take a high-level look at how external signals can transform LLMs, making them more relevant, responsive, and ultimately, more useful. The post Making Your LLM Yours: Enhancing LLMs with External Signals originally appeared here on Shelly Palmer

[mediaguides]

Unpacking The Trade Desk's Sub-Floor Bidding Tactics

THE MEDIA GUIDES PRESENT State Of The Market Unpacking The Trade Desk’s Sub-Floor Bidding Tactics As the digital marketing landscape continues to evolve, so do the strategies and tactics employed by players in the programmatic advertising landscape. One such player that has recently made waves with its innovative approach is The Trade Desk. In a bold and somewhat controversial move, The Trade…

[peterbordes]

Super pumped to announce Chris Andrews is joining us as COO at Collective Audience.

Chris is an incredibly accomplished executive. Former advertising agency exec at Ogilvy Health and WPP leading as CTO & CIO who was part of the team that grew Ogilvy Health from $100m to $700m in revenue. He understands startups to large organizations like Ogilvy where he led 320 global tech team members.

[luckyonexcel]

Future Advertising Strategies to Increased Engagement

Advertising has always been a vital component in promoting products and services. However, with the rapidly changing landscape of technology and consumer behavior, the future of advertising is evolving. To stay relevant and capture audience attention advertisers need to adapt and employ new strategies continuously. Below are insights into the future of advertising including new strategies types…

[paulrobertskubient]

Paul Roberts Kubient: A Visionary Leader in Technology Digital Marketing

In the fast-paced world of technology and digital marketing, Paul Roberts Kubient stands out as a dynamic leader with a knack for innovation and strategic foresight. With over 20 years of experience, Paul Roberts has built a remarkable career, founding and scaling multiple companies at the intersection of advertising technology (adtech) and artificial intelligence (AI). His work continues to shape the future of digital marketing, making him a key figure in the industry.

A Track Record of Success

Paul Roberts’ career is defined by his ability to create solutions that anticipate the evolving needs of the digital landscape. Known for his forward-thinking approach, he has founded and scaled numerous tech companies that address critical challenges in advertising and marketing.

One of his most notable ventures is Kubient, a disruptive digital advertising platform that leverages AI to optimize programmatic advertising. By using advanced technology to enhance the efficiency of online ad campaigns, Kubient has positioned itself as a leader in the adtech space, reducing fraud and delivering better results for advertisers and publishers. Roberts' leadership at Kubient exemplifies his vision of combining AI with marketing to create smarter, more efficient, and ethical ad networks.

Innovation in AI and Adtech

Paul Roberts Kubient is a pioneer in integrating AI into advertising strategies, understanding that AI can dramatically improve how businesses target, engage, and convert audiences. His focus on AI-driven solutions has enabled the companies he leads to offer more personalized and data-driven marketing strategies.

By leveraging AI and machine learning, Paul Roberts has pushed the boundaries of what digital advertising can achieve, making it possible to analyze vast amounts of consumer data in real-time and deliver targeted content with greater accuracy. This has proven especially critical as consumer behavior becomes more fragmented across different digital channels.

His work has helped brands optimize their campaigns, ensuring that marketing dollars are spent efficiently while delivering maximum impact. With AI, Roberts has empowered brands to not only keep up with but also lead in the rapidly evolving digital marketing environment.

A Vision for the Future of Digital Marketing

Looking ahead, Paul Roberts Kubient is focused on shaping the future of digital marketing through innovation and sustainability. His leadership reflects a deep understanding of the critical role technology plays in the industry’s future, especially in areas like AI, data privacy, and programmatic advertising.

Paul Roberts is also passionate about creating more ethical, transparent digital advertising ecosystems. He believes in harnessing AI’s potential to combat issues like ad fraud while enhancing consumer trust by respecting data privacy regulations. As the digital marketing landscape faces increased scrutiny over privacy concerns, his commitment to responsible innovation positions him as a forward-thinking leader.

Conclusion

Paul Roberts’ expertise in technology and digital marketing, coupled with his visionary leadership, has helped him build a legacy of success and innovation. His work at Kubient and other ventures demonstrates his ability to stay ahead of industry trends and address the challenges of a rapidly changing digital ecosystem. Through his relentless pursuit of combining AI and adtech, Roberts continues to drive the future of marketing, setting new standards for how businesses engage with audiences in the digital age.

With his sights set firmly on the future, Paul Roberts remains a visionary leader, pushing the boundaries of what's possible in technology and digital marketing, ensuring that the industry remains dynamic, innovative, and impactful for years to come.

[searchenginerealm]

Google Muvera Update: What It Means for Users and Digital Ecosystems

In the fast-paced world of Google innovation, the Google Muvera Update has quietly emerged as one of the more intriguing developments in recent months. Though not as widely publicized as updates to Google Search or Android OS, Muvera is shaping up to be a significant part of Google’s long-term strategy around digital finance, identity management, and cross-platform integrations.

In this article by SearchEngineRealm, we’ll dive into what the Muvera Update is, why it matters, and what users and digital marketers should be watching closely.

🔍 What is Google Muvera?

Google Muvera is believed to be a developing initiative (or platform) within Google aimed at streamlining personal data, app permissions, transactions, and identity-related services under one umbrella. While Google hasn't released a full public explainer, insider leaks and observed updates indicate that Muvera may combine elements from:

Google Pay / Wallet

Google Account Management

App permissions & privacy controls

Federated sign-in and cross-app data sync

Think of it as a smart identity and payment hub for users across Google's ecosystem.

📢 What’s New in the Latest Muvera Update?

With the recent Muvera Update, several changes have caught the attention of developers, users, and privacy advocates:

✅ 1. Improved App-Level Permission Control

Users now have more granular control over what data is shared across apps linked with their Google account. This is great news for privacy-conscious users.

✅ 2. Tighter Integration with Google Pay & Android

Muvera appears to be reinforcing a bridge between payment services and account-level identity, possibly streamlining single-click purchases across apps and services.

✅ 3. Enhanced Fraud Detection & Verification

The update includes better identity verification, likely powered by AI and device recognition, to reduce fraud in financial transactions or account access.

✅ 4. Business Identity Support

Early signs show Google may allow businesses to manage brand credentials and verification through Muvera – which could be huge for platforms integrating Google Sign-In.

📌 Why Does the Muvera Update Matter?

Here at SearchEngineRealm, we believe this update signals a bigger move toward unified identity and transactional platforms, similar to what Apple is attempting with its ecosystem.

For Users: You’ll have more control over your data and experience a smoother, more secure flow when using Google services.

For Developers and Marketers: Muvera could reshape how you handle auth, payments, and audience targeting. It might even affect ad personalization policies down the line.

⚠️ Potential Impacts on AdTech and SEO

While the Muvera Update is not directly tied to Google Ads or Search algorithms (yet), the long-term data policy implications are worth watching:

SEO tools may need to adapt if account-level data becomes more segmented.

Attribution models in analytics could shift, especially in multi-device environments.

User consent frameworks might become more centralized, changing how cookies and tracking are managed.

🧠 Final Thoughts from SearchEngineRealm

The Google Muvera Update may seem subtle now, but like many Google rollouts, it could become foundational in shaping how we use the web. Whether you're a developer, digital marketer, or privacy advocate, keeping a close eye on Muvera could give you a major head start.

For more updates on Google’s evolving ecosystem, privacy trends, and digital marketing strategies, stay tuned to SearchEngineRealm — your source for real insights in the search and tech space.