• Stellantis introduces the first-of-its-kind virtual cockpit as a key component of the Stellantis Virtual Engineering Workbench (VEW)

• Industry-first innovation accelerates Stellantis development cycles up to 100 times, speeding up delivery of infotainment tech to customers

• BlackBerry QNX announces early access launch of QNX Hypervisor in the cloud on AWS Marketplace for mixed criticality and multi-OS embedded application development

Stellantis N.V. led the creation of the world’s first virtual cockpit platform as part of its Stellantis Virtual Engineering Workbench (VEW) enabling the delivery of infotainment tech to customers 100 times faster than previous processes. The new platform uses the QNX Hypervisor in the cloud from BlackBerry, which is now on early access release via AWS Marketplace within the QNX Accelerate portfolio of cloud-based tools. Stellantis can now create realistic virtual versions of car controls and systems, making them behave just like they would in a real car, but without needing to change the main software that runs them, taking what used to take months to be achieved down to 24 hours in some cases.

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Accessing QNX Hypervisor via AWS Marketplace enables Stellantis to include a virtual cockpit high-performance computing (HPC) simulation into a cloud environment. This industry-first platform for mixed-criticality and multi-OS embedded application development includes QNX Hypervisor Amazon Machine Images (AMIs) and industry-standard hardware interfaces as defined in the VirtIO standard Trout v1.2. With tools such as virtualization of graphics, audio, and touchscreen/mouse/keyboard inputs, the solution offers little to no difference between running QNX Hypervisor-based systems in the cloud versus on real hardware.

Software is a key building block for Stellantis to deliver clean, safe and affordable mobility, as outlined in the Dare Forward 2030 strategic plan, and the driving force behind the AI-powered STLA Brain, STLA SmartCockpit and STLA AutoDrive technology platforms. In 2022, Stellantis selected AWS as its preferred cloud provider for vehicle platforms and the companies began work on Stellantis’ purpose-built, in-house VEW.

Taking a software-driven approach and deploying the QNX Hypervisor in the cloud, Stellantis can accelerate customer feedback sessions, and with minimal effort, replicate the cockpit experience of a particular brand and vehicle, and make changes in real time to optimize the experience for the driver. This real-time feedback, underpinned by low-latency access to the cloud, allows Stellantis to solicit valuable feedback from its customer and developer base to build future infotainment features and applications.

“Software is becoming increasingly crucial in vehicles, leading us to innovate in how we develop and validate it,” said Yves Bonnefont, Chief Software Officer at Stellantis. “With our virtual cockpit, we’re revolutionizing not just our approach, but also that of our suppliers and partners in the industry. Essentially, we’re able to get closer to our customer’s needs through this technology with faster development cycles, faster feedback loops, and quicker delivery of the technology they use and love. It’s a leap towards customer-first innovation and efficiency in the automotive world.”

“We’re delighted to introduce early access availability of our trusted QNX Hypervisor platform in the cloud, leveraging the vendor and platform-neutral VirtIO standard that QNX has long-supported for its importance in creating a true-to-life virtual development environment for embedded software,” said Mattias Eriksson, President, BlackBerry IoT. “Working with Stellantis to launch the world’s first commercial hypervisor in the AWS cloud helps to reduce complexity, accelerate innovation and cut costs on in-car software development throughout the entire product lifecycle.”

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“Software virtualization and abstraction in the cloud is vital to accelerating development and maintaining feature delivery on-pace with consumer demand,” said Wendy Bauer, Vice President and General Manager, Automotive and Manufacturing, AWS. “With BlackBerry’s QNX Hypervisor on AWS Marketplace, Stellantis can easily harness the power of the cloud to reimagine research and development processes, architect more insightful ways to solicit and integrate feedback, and deliver functions faster than before that delight drivers and further the industry.”

Standard VirtIO interfaces are also used by a suite of automotive partners to scale their offerings across OEMs and enable plug-and-play across the OEM landscape. Recognizing the benefits, AWS fully supports the VirtIO industry standard for cloud simulation of cockpit HPCs.

BlackBerry QNX launched QNX Accelerate in January 2023 with its portfolio initially featuring QNX Neutrino RTOS 7.1 and the QNX OS for Safety 2.2.3, each provided as Amazon Machine Images allowing QNX customers to run a QNX OS natively on AWS cloud hardware. The early access release of QNX Hypervisor in the cloud is available now and general availability will be announced later in 2024.

BlackBerry provides intelligent security software and services to enterprises and governments around the world.  The company secures more than 500M endpoints including over 235M vehicles.  Based in Waterloo, Ontario, the company leverages AI and machine learning to deliver innovative solutions in the areas of cybersecurity, safety, and data privacy solutions, and is a leader in the areas of endpoint management, endpoint security, encryption, and embedded systems.

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QNX Sound offers an unparalleled software platform for innovation in audio-based entertainment, comfort, communications and safety features; unlocks new revenue opportunities for automakers

BlackBerry Limited announced the launch of QNX Sound, an innovative development platform that decouples audio and acoustics software from the vehicle hardware to give audio designers and engineers complete creative freedom to deliver new and exciting in-vehicle sound experiences.

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QNX Sound enables automakers to consolidate all audio and acoustic functions seamlessly and cost-effectively within the main software stack of the software-defined vehicle architecture, using pre-integrated and pre-tested core technologies. This includes a complete out-of-the-box library of automotive acoustics functional modules for telephony, safety alerting, noise reduction, sound enhancement, media playback, etc. The software foundation not only provides more control over quality and functionality of these services, but it also includes advanced tuning tools with a graphical programming interface that unlocks endless signal processing creativity. For the first time, this offers an entirely software-driven foundation for automakers to explore new audio-based services and collaborations with technology companies and multimedia content providers to bring new, value-add features into the vehicle, opening new opportunities to create new revenue streams from the activation of optional features – or to upgrades from base audio to a branded premium level – as on-demand or subscription services.

“In the software-defined vehicle age, audio becomes a new playing field for innovation and differentiation,” said John Wall, Senior Vice President, and Head of QNX at BlackBerry. “QNX Sound is the ultimate digital audio platform for the automotive industry and the most comprehensive foundation available for innovation. Through it, we enable automakers to explore new business opportunities and exciting collaborations that will truly appeal to and excite the end user.”

QNX Sound is the only software-defined audio and acoustics solution for the automotive industry that has been fully tested in production and pre-integrated in next generation System on Chip (SoCs). The platform is pre-integrated with BlackBerry QNX Real Time Operating System (RTOS) and QNX Hypervisor and includes an audio extension mechanism that allows 3^rd party signal processing suppliers to compile and deploy their own c-code algorithms. Furthermore, it is pre-tested with leading measurement and simulation equipment suppliers and industry open standards, like VirtIO to support sound design, tuning and signal flow design capabilities for exciting new features both in the cloud and, eventually, on hardware targets.

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Hendrik Hermann, Vice President Automotive at Dirac, shares his enthusiasm for revolutionizing car audio, saying: “At Dirac, our passion is to unlock the untapped potential in every audio system, particularly in cars, where great sound is a vital part of the experience. Working hand in hand with the team at BlackBerry QNX, we’ve integrated a fully scalable Dirac plug-in featuring all our technologies that seamlessly integrate with the QNX Sound platform. This collaboration empowers OEMs with easy access to our solutions, maximizing fidelity and immersion, and offers the flexibility to continually enhance and refresh the in-car audio experience for listeners.”

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STACK’s proven design supports the next generation of data centers and their artificial intelligence workload requirements

STACK Infrastructure (“STACK”), the digital infrastructure partner to the world’s most innovative companies and a leading global developer and operator of data centers, positions itself as the premier developer for the future era of data centers, leveraging its established AI-Ready capabilities built upon STACK’s proven, customizable design. With a history of supporting high-density workloads, STACK reinforces its position as a pioneering partner to the world’s foremost technology providers.

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In the rapidly evolving landscape of technology, characterized by generational advancements in AI, the demand for data center capacity capable of accommodating high-density workloads is reaching unprecedented levels. A prime example is OpenAI’s ChatGPT, the generative AI chatbot launched just over a year ago and, within two months, became the fastest-growing consumer application in history. With such remarkable growth of AI and other machine learning applications, STACK’s cutting-edge data center solutions and its extensive portfolio of powered land holdings have become even more crucial to today’s technology companies. Purposefully crafted to meet the escalating high-density requirements of clients, STACK’s resources are positioned at the forefront of innovation.

“STACK was built for the world’s largest innovators, and from the beginning, we have prioritized the long-term scalability of our clients with a flexible data center design,” said Matt VanderZanden, Chief Operating Officer of STACK Americas. “As an AI-Ready digital infrastructure company with a proven track record of high-density deployments, STACK is building upon this foundation to continually address evolving client needs.”

STACK achieves optimal cooling for high-density AI workloads through its closed-loop water cooling systems, offering flexibility to meet diverse cooling requirements including customizable solutions that can support up to 30kW per rack with traditional air cooling; up to 50kW per rack with rear door heat exchangers; up to 100kW per rack with direct-to-chip liquid cooling; and up to and exceeding 300+kW per rack with immersion cooling in the future. STACK’s extensive portfolio of operating data centers, all designed based on cost-efficient and proven models, exemplifies its ability to swiftly deliver gigawatts of scale, coupled with expertise in cooling systems enabling greater and greater deployment densities, and affirms STACK as the ideal data center developer for sustained growth in the age of AI.

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STACK’s global footprint of campuses spans major data center markets across the Americas, EMEA, and APAC, offering a vast powered land portfolio, sustainable building solutions, and high-density cooling optionality for the next generation of AI-Ready data centers. With 2.5+GW built or under development and an additional 4.0+GW of planned and potential development, STACK strategically supports the hyperscale requirements and groundbreaking initiatives of leading global technology firms through the development of AI-Ready campus developments including:

• A planned five-building data center campus offering 250MW of scale in Central Phoenix with a dedicated on-site substation.
• A 48MW Santa Clara data center, featuring immediately available shell space powered by an onsite substation with rare contracted capacity.
• A 56MW Toronto campus, spanning 19 acres, includes an existing 8MW data center and 48MW expansion capacity, all supported by committed power.
• A 48MW build-to-suit opportunity in the Dallas/Fort-Worth area, boasting abundant power and connectivity options.
• A 200MW campus in Portland spanning 55 acres with 96MW currently available for leasing.
• A New Albany, Ohio 58MW data center campus with immediately available capacity and build-to-suit expansion opportunities.
• A strategically located data center campus in Osaka, Japan with 72MW of capacity across three planned buildings.
• A 36MW facility delivered in Australia, launching a 72MW campus in Melbourne, one of the fastest growing markets in Asia Pacific.
• A 30MW data center campus in Stockholm with 18MW under development.

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 [To share your insights with us, please write to sghosh@martechseries.com] 

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Palantir Technologies Inc. a leading provider of AI systems, and Option Care Health Inc. the nation’s largest independent national provider of home and alternate site infusion services, announced a multi-year commercial partnership for Palantir’s software to be leveraged across the company to help improve patient outcomes and increase efficiency.

Option Care Health expects to use Palantir’s Artificial Intelligence Platform (AIP) across nurse scheduling, patient onboarding, purchasing optimization, and supply chain execution, among other potential use cases.

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AIP enables organizations to bring the power of large-language models, and other cutting-edge AI, to their enterprise networks, private data, and core operations – with maximum security and trust. The platform is designed to bring in siloed and disconnected data sources, logic assets, and systems of action into a single common operating picture, enabling users to optimize their decision-making.

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The company’s use of Palantir’s software is designed to help optimize visits per day and increase patient face time with clinicians, reduce administrative burden and help ensure stockage of drugs and medical supplies while helping prevent overstocking.

“We are excited to partner with one of the innovative leaders in AI-powered software and leverage their platform and expertise to enhance our intelligent technology ecosystem focused on streamlining processes, enhancing our expertise, improving the patient experience, and optimizing clinical outcomes,” said John Rademacher, President & CEO of Option Care Health. “I believe that utilizing Palantir’s Foundry and AIP will allow us to innovate rapidly, build on best practices and help ensure our approach to AI and Machine Learning incorporates the strongest foundations and provides strong protections and integrity for our stakeholders.”

Palantir has long worked with some of the world’s most important organizations and has recently significantly grown its health care operations. Palantir’s software is also used across a number of government health organizations, including the National Institutes of Health and the U.K.’s National Health Service.

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“Option Care Health is at the leading edge of deploying artificial intelligence across the healthcare sector,” said Alex Karp, co-founder and chief executive officer of Palantir Technologies. “We are proud to support this effort, which builds on our expanding presence in and commitment to the medical sector and will expedite and improve services to patients across the country.”

[To share your insights with us, please write to sghosh@martechseries.com]

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Sibros unveils ‘On the Track and Beyond’ Experience to showcase its leading-edge Deep Connected Platform, interactive Race Simulator, and joint partner solutions

Sibros, leaders in Software-Defined Vehicle management systems announced its presence and activities for CES 2024, from January 9-12 at the Las Vegas Convention Center, West Hall, Booth #4054.

Sibros will showcase Deep Connected Platform, a production-ready technology foundation helping automakers transform fleet data into actionable insights, and orchestrate seamless software updates and diagnostic commands at a flexible scale. CES attendees are invited to experience Sibros’ “On the Track and Beyond” theme this year, offering an immersive in-booth tour that will include:

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• Racing Simulator: Visitors can compete in a virtual racing simulator and see “live-as-you-drive” vehicle performance analytical, powered by Deep Logger
• Theater Sessions: Various partner-led sessions on how OEMs are accelerating time-to-market for their software-defined products using embedded connectivity, cloud, mobile apps, AI, and Machine Learning.
• Partner Showcases: Joint partner-ready solution demonstrations encompassing vehicle telematics, digital cockpit, and connected car apps.

“CES 2024 stands at the forefront of automotive software innovation, marking a new era in how vehicles connect, communicate, and evolve,” said Hemant Sikaria, CEO of Sibros. “We’re thrilled to showcase the latest advancements of our Deep Connected Platform that provides OEMs new ways to enhance software-defined vehicle functionality and unlock data-driven offerings and revenues. Our theme this year, ‘On the Track and Beyond,’ reflects our commitment to pushing the boundaries of connected technologies and its use in real-world applications,” added Sikaria.

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The partners and solutions pre-integrated with the Sibros Deep Connected Platform with a presence at the Sibros booth include:

• Accolade Electronics: AIS-140 certified telematics hardware
• ACTIA: ACU6-Pro Automotive and Actia ACU6-Pro Off Highway
• Continental Engineering Services: Automotive IoT Gateway
• Foxconn: connected car mobile app and OEM services tools
• Android Automotive OS: automotive operating systems
• iWave: All telematics controllers
• Marelli: smart SDV cockpit domain controller
• Pricol: EV-ready telematics hardware solutions

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New, first-of-its-kind algorithm brings speed and precision to patient enrollment for a life-saving heart device trial

Deep 6 AI, a leading AI-powered precision research platform for healthcare organizations and life sciences companies, announced its partnership with Graticule, an on-demand, advanced real-world data and advisory services provider. The two companies are designing research algorithms and real-world data services to better identify and prioritize patients for clinical trials across many disease indications. Their first algorithm automates patient screening for a sponsored cardiovascular medical device trial. This time-saving technology, coupled with rapid implementation services, is being actively piloted at sites in the Deep 6 AI research ecosystem to accelerate trial completion.

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Key measurements indicating a patient’s eligibility for the clinical trial or qualification for standard of care treatment, such as the measure of the heart’s ejection fraction, did not exist within structured electronic medical record (EMR) data. The solution developed by Deep 6 AI and Graticule uses artificial intelligence (AI) and natural language processing (NLP) to mine large, real-time pools of structured and unstructured electronic medical record (EMR) data, such as clinical notes, radiology reports, and catheterization lab reports, to precisely identify a cohort of eligible patients and extract key insights into each patient’s condition and history. The screening algorithm then uses these insights to qualify and prioritize eligible patients to provide a clearer picture of the patients most likely to benefit from the intervention. The extracted, relevant information is presented to the research team in useful and intuitive ways.

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“Traditionally, it takes up to two years for life sciences companies to get access to EMR data to develop novel patient matching algorithms,” said Dan Housman, Chief Technology Officer, Graticule. “Additionally, traditional methods of ‘clinical data pulling’ often burden an already overworked hospital IT staff. We partnered with Deep 6 AI to accelerate the development and deployment of screening tools that reduce site burden through access to ready to use deep EMR data from 1K+ research facilities across the Deep 6 AI ecosystem.”

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“We help clinical research teams identify targeted patient populations with great precision and speed by using AI to mine deeper data that goes beyond traditional claims and structured EMR data,” said Wout Brusselaers, founder and CEO, Deep 6 AI. “By applying Graticule’s real-world data research methods and advisory services to the real-time, real patient data within our research ecosystem, we have drastically improved the utility of the research algorithms and screening processes we offer.”

[To share your insights with us, please write to sghosh@martechseries.com]

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M55M1 Microcontroller With Secure On-Device AI Capabilities for Embedded Applications

Nuvoton is pleased to announce its new Endpoint AI Platform to accelerate the development of fully-featured microcontroller (MCU) AI products. These solutions are enabled by Nuvoton’s powerful new MCU and MPU silicon, including the NuMicro® M55M1 equipped with Ethos U55 NPU, NuMicro® MA35D1, and NuMicro® M467 series. These MCUs are a valuable addition to the modern AI-centric computing toolkit and demonstrate how Nuvoton continues to work closely with Arm and other companies to develop a user-friendly and complete Endpoint AI Ecosystem.

Development on these platforms is made easy by Nuvoton’s NuEdgeWise: a well-rounded, simple-to-adopt tool for machine learning (ML) development, which is nonetheless suitable for cutting-edge tasks. Together, this powerful core hardware, combined with unique rich development tools, cements Nuvoton’s reputation as a leading microcontroller platform provider.

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These new single-chip-based platforms are ideal for applications including smart home appliances and security, smart city services, industry, agriculture, entertainment, environmental protection, education, highly accurate voice-control tasks, and sports, health, and fitness.

New ML-Focused Hardware With NPU: NuMicro M55M1

The NuMicro M55M1 series microcontroller is targeted at machine learning applications, aided by its Ethos-U55 NPU (Neural Processing Unit) and on-device AI features suitable for embedded applications. This MCU lets the system watch for events – based on image sensor, microphone, and sensors – while in low-power mode, without waking up the central processor. The M55M1 MCU includes an ML model protection mechanism that enhances security by safeguarding ML intellectual property against potential malicious hacking attempts. These are some of the first processors to support Arm Helium technology, which provides a significant performance boost for machine learning (ML) and digital signal processing (DSP) applications in small, low-power embedded systems.

Edge IIoT Gateway Solution: NuMicro MA35D1

The MA35D1 series is a heterogeneous multi-core microprocessor for high-end Edge IIoT Gateway, based on a dual-core 64-bit Arm Cortex-A35 core at 800 MHz and a 180 MHz Arm Cortex-M4. These high-performance cores facilitate Tiny AI/ML edge computing.

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The Versatile M467, With IoT Applications and Great Connectivity

The M467 series is a 32-bit microcontroller based on the Arm Cortex-M4F core with a built-in DSP instruction set and single precision floating point unit (FPU). It is ideal for a wide range of applications: smart home appliances, IoT gateways, industrial control, telecommunications, and data centers.

In IoT tasks, the M467 can be enhanced with a rich set of connectivity, I/O, and security peripherals, from Ethernet 10/100 MAC to hardware encryption, decryption, and key storage. With the M467’s broad built-in I/O support, users can choose only the precise hardware extensions they need for their particular applications. The M467 also supports HyperRAM. In AI/ML applications, the 64MB of HyperRAM provides the flexibility to handle different ML models with varying memory size or density requirements. HyperRAM also offers power-saving, suitability for available bandwidth, ease of use, and flexible expansion of memory options.

Strong Development Support

Fully-featured development boards are available for all of the above hardware applications. These are supported by Nuvoton’s deep development tools, development environment, and enthusiastic support. For example, AI application development with NuMaker MA35D1 not only enables efficient machine learning projects, such as image classification but also presents analysis to the user intuitively via the Human Machine Interface (HMI). Meanwhile, the NuMaker-IoT-M467 development board is specifically designed for IoT applications of the M467 MCU.

NuEdgeWise ML IDE Makes TinyML Development Simple

Nuvoton’s NuEdgeWise IDE (Integrated Development Environment) is a machine-learning tool designed for TinyML development. The IDE supports the four key stages of ML application development: labeling, training, validation, and testing. NuEdgeWise leverages the popular Jupyter Notebook platform, allowing developers to train and deploy models on Nuvoton chips using TensorFlow Lite. This makes TinyML applications more accessible and easier to implement.

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ML-Ephant Machine Learning API Joins KittyCAD Design API to Create Zoo Ecosystem, Laying the Foundation For A Modern Hardware Design Toolkit

The world’s only company to develop advanced tools for hardware design announced the creation of Zoo, a new company that includes KittyCAD and ML-ephant APIs. Zoo creates an ecosystem with the infrastructure to allow anyone to develop, use, and customize modern hardware tools, while also offering pre-built tools.

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“Design demands have outpaced hardware design infrastructure, and the industry is due for a refresh. At Zoo, we believe that no designer should be limited by their tools,” says Jordan Noone, Zoo’s co-founder and Executive Chairman, who also led Relativity Space’s technical development as CTO and co-founder for five years.

The newest addition to Zoo, ML-ephant bridges machine learning and hardware design by shortcutting from design intent to a CAD model. Starting with ML-ephant’s Text-to-CAD endpoint, designers can build prompt interfaces to generate starter CAD models through text prompts. The machine learning behind ML-ephant is trained on Zoo’s proprietary data sets and utilizes KittyCAD Design API, which is built on Zoo’s custom, GPU-native Geometry Engine, to programmatically analyze training data and generate CAD files.

“With the addition of ML-ephant and the creation of the Zoo ecosystem, we are building on the groundwork we’ve laid with the KittyCAD Design API to add machine learning capabilities to design tools never before possible,” says Jessie Frazelle, Zoo’s co-founder and CEO, who was previously Chief Product Officer at Oxide Computer Company and long-time infrastructure engineer.

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Zoo offers a secure infrastructure that is built to help businesses grow efficiently. The company’s KittyCAD and ML-ephant APIs help designers increase productivity by automating workflows and creating customized tools. Zoo’s proprietary Geometry Engine does the computation for geometry processing and visualization rendering, allowing for tools to be built for any device or operating system.

[To share your insights with us, please write to sghosh@martechseries.com]

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Quality Attention™ Provides Actionable Attention Metrics that Tie to Business Results for Global Advertisers

Integral Ad Science, a leading global media measurement and optimization platform, announced the general availability of its Quality Attention™ measurement product – the first to unify media quality and eye tracking with machine learning. The new offering provides transparent metrics to help global advertisers increase return on investment, drive brand consideration, and boost conversions.

With Quality Attention, advertisers can capture higher attention to drive campaign performance and unlock proven results. Quality Attention uses advanced machine learning technology, actionable data from Lumen Research’s eye-tracking technology, and a variety of signals obtained as part of IAS’s core technology, including viewability, ad situation, and user interaction, and weighs them into a single attention score. IAS’s attention model is designed to predict if an impression is more likely to lead to a business result including awareness, consideration, and conversion.

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“Attention measurement must inform actions that drive superior results for advertisers,” said Yannis Dosios, Chief Commercial Officer, Integral Ad Science. “Our Quality Attention offering is purpose-built to help brands and agencies navigate through media clutter to seamlessly understand how media visibility, the ad environment, and customer interaction impact campaign performance. According to our research, brands that focus on driving higher IAS attention scores achieve up to a 130% lift in conversion rates leading to a better return on their investment.”

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Quality Attention provides global advertisers with:

• An Advanced Machine Learning Model: A singular view of campaigns’ attention performance, trained based on a pool of data consisting of billions of impressions and millions of conversion events.
• Proven Performance and Brand Results: Up to a 130% lift in conversion rates when comparing high attention impressions to low attention impressions, with greater attention scores seeing 91% higher brand consideration and 166% higher purchase intent.
• Unification of Media Quality with Human Attention: IAS is the first company to combine one of the world’s largest consumer attention biometric data sets with media quality metrics to provide the most accurate picture of attention for global advertisers.

Global healthcare company, Sanofi, has partnered with IAS as they move beyond traditional ways of measuring media performance. “We know that ad clutter is not only a frustrating consumer experience, but it also correlates with attention and carbon footprint: less ad clutter = more attention and less carbon,” said Anna Kechekmadze, Global Digital Media Lead at Sanofi CHC. “Our partnership with IAS on Quality Attention is giving us insight into how attention plays a role in reducing ad fatigue, getting better inventory quality and improving media KPIs.”

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IAS and Lumen Research announced their initial partnership in 2023 to change the way digital advertising impressions are measured for attention-first advertising. Now, IAS customers will have an even more powerful way to accurately track which ad impressions have captured attention and are likely to yield business results.

“We are excited about the evolution of our partnership with IAS and how we are offering advertisers a transparent and more accurate picture of attention,” said Mike Follett, CEO at Lumen Research. “By bringing our cutting-edge eye-tracking data to IAS’s attention model, advertisers have access to the most robust predictive attention models at scale.”

[To share your insights with us, please write to sghosh@martechseries.com]

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