Trust Stamp’s Privacy-first AI-powered biometric technology, combined with Scurid’s platform ensures a secure and streamlined process, making the hassle of traditional authentication methods a thing of the past and it paves the way for a fluid, intuitive and seamless authentication between humans and machines, while addressing crucial security and privacy concerns

Trust Stamp, the Privacy-First Identity CompanyTM, providing AI-powered trust and identity services, has entered a partnership with Scurid, a global pioneer in delivering cutting-edge solutions for Industrial Internet of Things (IIoT) device identity and access management (IAM) platform, that enhances device identities through the incorporation of interoperability and data management functionalities. Scurid’s user-friendly platform, enables seamless connectivity among IoT edge devices,IoT platforms, databases, and other applications, allowing clients to implement secure autonomous IoT systems swiftly in their applications, and with a deployment base exceeding 1000 devices, Scurid has earned trust in production environments, providing their customers the ability to bring their innovations to market swiftly and securely.

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In a strategic collaboration aimed at enhancing the smooth and secure interaction between humans and machines, Scurid has joined forces with Trust Stamp, to leverage the benefits of biometrics as it opens an avenue to elevate the usability and security of IoT devices. This partnership is poised to play a crucial role in fortifying a diverse array of emerging IoT and edge devices, effectively addressing security challenges, and establishing seamless authentication and authorization, fostering a more integrated connection between humans and machines

However, biometric data storage and transmission, particularly for IoT and edge devices, pose security challenges. Encryption, while common, is not foolproof, leading to potential breaches.  Moreover, in biometric systems with extensive databases, the search process for a match can be computationally intensive and time-consuming, and encryption adds complexity, further slowing down system response time and accuracy. By utilizing biometric tokenization, like that of Trust Stamp’s IT2,  it addresses these issues, providing performance and security. By transforming facial biometrics into a tokenized, irreversible form, the risk of unauthorized access or use of exfiltrated biometric data is significantly reduced.

Scurid, in synergy with Trust Stamp’s biometric verification, has the potential to revolutionize secure identification and authorization across diverse IoT deployments such as fleet management, smart manufacturing, smart cities, and smart warehouses. This seamless integration forms a scalable, comprehensive solution, eliminating the complexities of traditional authentication and fostering a fluid, intuitive interaction between humans and machines. Scurid’s platform is not just secure but also highly adaptable, ensuring ease of integration with any existing platform without vendor lock-in. Its built-in capabilities replace the need for multiple toolchains, offering a well-rounded, self-sufficient solution. The decentralized core of Scurid’s device identity significantly reduces the risk and impact of security breaches, making it a cost-effective, reliable choice for dynamic device identity implementation. This approach paves the way for a new era in security dynamics, where users can grant access with unprecedented precision, reshaping the interaction between users and machines in the digital world.

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This collaborative project between Trust Stamp and Scurid not only addresses security challenges in IoT and edge devices but also exemplifies the multifaceted uses of Trust Stamp’s IT2 technology, showcasing its adaptability and efficacy in diverse sectors such as finance, healthcare, and government, where precise and secure identification is essential for fostering trust and efficiency.

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

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AtomBeam successfully reached its campaign maximum of $3 million, marking a major achievement in its mission to revolutionize data transmission and storage

AtomBeam, a leading provider of edge data efficiency solutions, is pleased to announce a significant milestone in its fundraising campaign on StartEngine. The company has successfully reached its campaign maximum of $3 million. The world is waking up to a technology that can fundamentally change how every machine communicates, and the deeply experienced, top quality people who can make it real.

AtomBeam’s innovative technology, which reduces machine data an average of 75% in near real time, quadrupling the effective bandwidth of existing connections with software alone, has garnered significant attention and support from investors. The company’s success in maxing out its capital raise, reaching the $3 million mark on StartEngine with a waitlist of over $2 million is a testament to the confidence and belief that the investment community has in AtomBeam’s groundbreaking solutions.

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“I can’t express how critical this funding is to making the incredible data efficiency products of AtomBeam a reality,” said Charles Yeomans, CEO of AtomBeam. “The overwhelming support from our investors highlights the immense potential of our technology and its ability to transform the way machines communicate. We are grateful for the trust and confidence placed in us and remain committed to delivering results.”

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With this latest $3 million milestone having been achieved, AtomBeam is well-positioned to make the hires that will accelerate its growth and continue driving the development and sale of its products. The quality and depth of experience of people flocking to join AtomBeam is even more important validation of its technology and plans than its 35 patents or major corporate partners. This is one of those rare times you can learn about, and even participate in, a company that can change the world when it is still young.

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

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Combined Company to Begin Trading on Nasdaq Under “AISP” on December 22, 2023

Business Combination Strategically Positions Airship AI, a Robust AI-Driven Video, Sensor and Data Management Surveillance Platform for Government Agencies and Enterprises, to Accelerate Growth and Revenue

As Part of its $163 Million Pipeline, Airship AI Has Begun Delivery of Multiple Firm Fixed Price Contracts Worth $10.9 Million, Awarded in September 2023 by an Agency Within the Department of Homeland Security (DHS)

Airship AI Holdings,a robust AI-driven video, sensor and data management surveillance platform that provides complex automated monitoring, predictive event analysis and intelligence to large institutions operating in dynamic and mission-critical environments with rapidly increasing volumes of data and data sources, and BYTE Acquisition Corp. a special purpose acquisition company (“BYTE”), have completed the previously announced business combination (the “Business Combination”). BYTE’s shareholders approved the Business Combination at an extraordinary general meeting held on December 19, 2023.

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“We believe that today’s milestone, combined with our visible and robust $163 million pipeline, will help accelerate the delivery of our AI-driven edge video, sensor and data management platform”

In connection with the Business Combination closing, the combined company has been renamed “Airship AI Holdings, Inc.” (the “Company”). Beginning at the open of trading on December 22, 2023, the Company’s common stock and warrants will trade on Nasdaq under the ticker symbols “AISP” and “AISPW,” respectively.

This transaction valued Airship AI at pre-money equity value of approximately $225 million. As a public company, the Company will have enhanced visibility, selling opportunities and financial flexibility to perform its business plan and broaden its customer base.

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Airship AI Highlights

• Large and Rapidly Growing Size of Addressable Market
  • $7 billion edge AI software and hardware addressable market today, projected to grow to over $40 billion in 2030¹.
  • This growth is expected to be driven by strong demand for AI solutions in public safety, industrial, and logistics settings.
• Differentiated End-to-End Solution
  • Airship AI leverages AI at the edge to help improve public safety and operational efficiency for public sector and commercial customers by providing predictive analysis of events before they occur and meaningful intelligence to decision makers.
  • Solutions work with clients’ existing hardware and capitalize on rapidly growing use of AI to create efficiency, increase speed, reduce costs, and improve decision-making.
• Blue-Chip Customer Base
  • Existing customers include federal government agencies across the Department of Homeland Security, Department of Justice, Department of Defense, and Intelligence Community, along with state and local law enforcement agencies and Fortune 500 companies FedEx and Home Depot.
  • In December 2023 began delivery of multiple firm fixed price contracts worth $10.9 million, awarded in September 2023 by an agency within the Department of Homeland Security (DHS), for advanced integrated solutions supporting real-time intelligence collection operations along the United States’ borders, leveraging the Company’s edge IoT appliance, Outpost AI.
• Strong Growth with Software Margin
  • 2022A: $14.5 million revenue, 57.9% gross margin, positive EBITDA.
  • NTM (Next Twelve Months, which denotes July 1, 2023 – June 30, 2024 forecast period): $39 million revenue, 65% gross margin, $9 million EBITDA.
  • Opportunity for margin expansion with recently launched Edge products.
• Visible and Robust Pipeline
  • Strong pipeline predominantly with the U.S. government in addition to new growth opportunities within the commercial sector

Management Commentary

“We believe that today’s milestone, combined with our visible and robust $163 million pipeline, will help accelerate the delivery of our AI-driven edge video, sensor and data management platform,” said Paul Allen, President of Airship AI. “Our Outpost AI edge device, Acropolis operating system, and Command Nexus viewing client will enable us to take a significant share of the approximately $7 billion edge AI software and hardware addressable market today, which is projected to grow to over $40 billion in 2030. These differentiated end-to-end solutions serve a blue-chip customer base that includes federal government agencies across the Department of Homeland Security, Department of Justice, Department of Defense, and Intelligence Community, along with state and local law enforcement agencies and Fortune 500 companies FedEx and Home Depot.

“Most recently we began delivery of multiple firm fixed price contracts worth $10.9 million, awarded by an agency within the Department of Homeland Security (DHS), for advanced integrated solutions supporting real-time intelligence collection operations along the United States’ borders, leveraging Outpost AI. These awards affirm our strategic vision of providing tailored solutions designed to meet exacting and rapidly evolving technical requirements with solutions that work with clients’ existing hardware and capitalize on rapidly growing use of AI to create efficiency, increase speed, reduce costs, and improve decision-making.

“With a hard fought foothold with our blue-chip customer base, we are at an inflection point that now positions us to execute a multi-prong growth strategy that we expect will deliver a double-digit revenue growth rate with opportunity for margin expansion and positive EBITDA. In this next phase of our development, we expect to see growth from new opportunities within the commercial sector. The board of Airship AI would like to thank the team at BYTE for the successful completion of the Business Combination,” concluded Allen.

Sam Gloor, BYTE Chief Executive Officer and Chief Financial Officer, added, “We congratulate Airship AI on today’s accomplishment and look forward to their continued growth and evolution toward their goal of improving public safety and operational efficiency for public sector and commercial customers. As a public company we believe Airship AI is well positioned to execute on their strategy and we are excited to see them take this important next step. We thank the Airship AI team for their hard work and partnership in completing the Business Combination.”

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The post Airship AI Holdings Completes Business Combination with BYTE Acquisition Corp appeared first on AiThority.

Hi, welcome to the AiThority Interview Series. Please tell us a bit about yourself and your company, RelationalAI.

I am the founder and CEO of RelationalAI. I have three decades of AI experience and I often share insights on the rise of the data cloud, knowledge graphs, generative AI and other new-gen technologies. My company brings together decades of experience in industry, technology, and product development to advance the first and only real cloud-native knowledge graph data management system to power the next generation of intelligent data applications.

How do you see the Data Cloud industry shaping in 2024?

In 2024, we will witness the rise of the Data Cloud to advance AI and analytics.

While data clouds are not new, I believe there will be a continued emergence and a clear distinction made between data clouds and compute clouds in 2024. With compute clouds like AWS or Azure, we have had to assemble and stitch together all the components needed to work with AI. So with data clouds, like Snowflake or Microsoft Fabric, users have it all prepackaged together in a single platform, making it much easier to run analytics on data needed to build AI systems. The rise of the data clouds will offer a better starting point for data analytics, Artificial Intelligence (AI), and Machine Learning (ML).

2023 was all about Generative AI and its impact on the Cloud computing platforms. Where is GenAI headed in 2024?

The extreme hype around Generative AI will diminish in 2024. True Generative AI deployments will emerge as its augmented replacement.

In the new year, we will also begin to see the extreme over-hype around generative AI start to diminish. I’ve been working in, and around, AI since the early nineties, AI has always been prone to be over-hyped. Having said that, I think we are going to see enterprises deploying generative AI in more measured and meaningful ways. As with most new technology adoption in the enterprise, it’s going to take longer for these kinds of AI systems to become part of enterprise software in the ERP or HCM sense, but real value will start to be created next year.  We will be able to calibrate our expectations appropriately once we begin to see its true impact.

Please tell us about your predictions about AI startups and the VC landscape.

The venture capital climate has been tough as of late and will be even more so in 2024. I believe we will begin to see a shift in the industry when it comes to the survival of AI startups, as AI startups start to get “acqui-hired” by the big tech companies for their talent. This has already started to happen and in the last few months we’ve seen higher than normal venture-funded companies big and small either shut down or quietly get acquired by bigger players.

I think there will be an evolutionary cycle for the companies that can survive the next 18 months or so. It has been said before that some of the best and most valuable companies are usually created in difficult times, like during the 2008 recession and in 2000 when the dot-com bubble burst, as they usually tend to have better products and more disciplined companies. Companies that can run efficiently, be agile, and adapt quickly to tough situations will be better positioned. At the end of the day, companies that have a strong product, and a demonstrated value proposition, will be in a better position to outrun the competition.

How should IT leaders approach Knowledge Graph solutions? 

Knowledge Graphs will help users eliminate “Data Silos.”

As enterprises continue to move more data into a data cloud, they are collecting hundreds, thousands, and sometimes even tens of thousands, of data silos in their clouds. Knowledge graphs can easily drive language models to navigate all of the data silos present by leveraging the relationships between various data sources. In the new year, we will see a variety of established and novel AI techniques that support the development of intelligent applications emerge.

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Thank you, Molham! That was fun and we hope to see you back on AiThority.com soon.

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

• About Molham
• About RelationalAI

About Molham

Molham is the Chief Executive Officer of RelationalAI. He has more than 30 years of experience in leading organizations that develop and implement high-value machine learning and artificial intelligence solutions across various industries. Prior to RelationalAI he was CEO of LogicBlox and Predictix (now Infor), CEO of Optimi (now Ericsson), and co-founder of Brickstream (now FLIR). Molham also held senior leadership positions at HNC Software (now FICO) and Retek (now Oracle).

About RelationalAI

The executive team at RelationalAI brings together decades of experience in industry, technology, and product development to advance the first and only real cloud-native knowledge graph data management system to power the next generation of intelligent data applications.

The post AiThority Interview with Molham Aref, Founder and CEO of RelationalAI appeared first on AiThority.

Qlik and Mozaic combine expertise to offer enhanced business value through a Data Product Catalog experience, a SaaS Solution

Qlik,a leader in data integration and analytics, announced the acquisition of Mozaic Data (Mozaic), an innovative AI-driven data management technology. This timely acquisition marks an advancement in simplifying data handling for businesses, focusing on a data product-oriented approach for better data quality and governance.

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Integrating Mozaic into Qlik’s portfolio brings a transformative approach to managing data as a product. “Organizations are increasingly seeking to create domain-centric data products that transcend data integration and quality. There’s an elevated expectation within the industry,” explained Stewart Bond, Vice President, Data Intelligence and Integration Software at IDC. “The focus of Qlik’s data quality and governance offerings to embody the concept of data products highlights a maturity that resonates with today’s customer needs.”

Sharad Kumar, founder of Mozaic, joins Qlik as the Regional Head of Data Integration and Quality. His expertise will further enhance Qlik’s innovative capabilities, aiming to develop a next-generation Data Product Catalog solution and allowing customers to extract more value from their data quickly and effectively.

Drew Clarke, General Manager, Data Business Unit at Qlik, emphasized, “The acquisition of Mozaic and Sharad’s expertise is a pivotal step in reshaping the data landscape, and is a significant contribution to our ongoing work for 2024. Customers recognize the importance of treating data as a product—a strategy that aligns with the need for a SaaS-based Data Product Catalog, offering a more efficient and user-friendly experience in data lifecycle management, while also reinforcing a solid foundation for AI-driven data management.”

Mozaic’s innovative Data Product Experience approach is designed following the principles of decentralized architecture. Mozaic enabled organizations to build, secure, govern, deploy, and manage domain-centric data products in the cloud. These data products can be discovered through a data product marketplace, and accessed through a broad spectrum of consumption patterns, enabling diverse business use cases.

This acquisition is set to accelerate data deployment and utilization across enterprises, especially in cloud platforms like Amazon Redshift, Databricks, Google BigQuery, Microsoft Fabric and Snowflake. The Harvard Business Review notes that treating data as a product can speed up the implementation of new use cases by 90% and reduce total cost of ownership by 30%.

Sharad Kumar commented, “Joining Qlik is a significant milestone for Mozaic Data. We share a vision to improve data consumption by maximizing value from data investments. This is an opportunity to advance the efficiency and innovation in data management driven by AI, integrating seamlessly with Qlik’s upcoming projects.”

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With this acquisition, Qlik reinforces its commitment to providing end-to-end data solutions, seamlessly integrating Mozaic’s technology to enhance the overall data consumption experience for businesses.

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

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Foundation Relies on Data to Help Improve the Lives of One of the Most Vulnerable Populations, Children and the Impoverished

Informatica an enterprise cloud data management leader, announced La Caixa Foundation, one of the most prominent foundations in the world by volume of social investment, has chosen Informatica’s AI-powered Intelligent Data Management Cloud^TM platform as one of the core components of its digital cloud transformation. This strategic collaboration aims to propel La Caixa Foundation into a new era of efficiency and agility by instilling a data-centric culture throughout the organization.

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“Informatica’s AI-powered Intelligent Data Management Cloud platform enables customers to evolve their data management practice at their own pace and creates a future-proof system that delivers holistic, trusted data to help make informed decisions and achieve business objectives.”

For over a century, La Caixa Foundation has been committed to building a better future for those in need by creating programs that focus on the advancement of culture, science, education and medical research and health programs. Working to improve the lives of some of the most vulnerable amongst us, the foundation places emphasis on programs with the greatest power to transform society, such as those that combat child poverty and social exclusion, programs that foster employment and help to improve the living conditions of the least fortunate.

After decades of growth, La Caixa Foundation decided to modernize its data management program and transition to the cloud as part of its commitment to improving its non-profit projects through more efficient data analysis. Informatica’s Intelligent Data Management Cloud platform will provide wider flexibility for adopting new technologies to support the foundation as it expands. The move is not only about embracing modern technology but signifies a broader initiative to share data and information seamlessly with partners and collaboration agencies, ultimately contributing to better community experiences.

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“We have a long history as an organization, which includes legacy systems and processes and a significant amount of data in various formats. We chose Informatica to help us form a new, modern AI-powered data culture and create an enterprise-wide data strategy—one which will allow us to integrate all data on one platform, and improve data quality, standardization and governance,” said Jordi Gener, Director of Government and Data management at La Caixa Foundation.

“The foundation had very specific criteria for its data modernization project. They wanted a single platform that allowed them to advance at their own pace, leverage the integrators they’ve known for years and expand as needed,” said Massimo Miazzetto, VP of Sales and Country Manager Italy & Iberia. “Informatica’s AI-powered Intelligent Data Management Cloud platform enables customers to evolve their data management practice at their own pace and creates a future-proof system that delivers holistic, trusted data to help make informed decisions and achieve business objectives.”

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

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Zeotap CDP, the easy, secure, and impactful Customer Data Platform, is thrilled to introduce its “Non-Customer Entity Data” feature. This innovative tool marks a significant leap in the realm of customer data platforms (CDPs), enabling businesses to integrate and activate both customer and non-customer entity data with unprecedented ease.

The Non-Customer Entity Data feature is a transformative approach that broadens the scope of data integration beyond traditional customer-centric identifiers. It encompasses transactional data, account information, and product catalogue details, providing a more holistic view of the customer. This comprehensive understanding is crucial for developing effective marketing strategies.

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What sets Zeotap CDP apart is its flexibility. It allows the ingestion of both customer and non-customer entity data, expanding the unified customer profile with rich, diverse data points. This capability is a stark contrast to other CDPs that typically require data to be tied directly to a user identifier.

One of the key challenges in customer data management has been the complex process of pre-processing and integrating diverse data types. Zeotap CDP addresses this challenge head-on, simplifying the integration process for two key user groups: Data Engineers, who implement the CDP and Marketers, who leverage it for activation. This simplification democratises data access, making it usable and actionable for both technical and non-technical personnel alike.

Further enhancing its offering, Zeotap CDP has integrated several user-friendly features:

• Streamlined Segmentation: Users can effortlessly create customer segments using both customer and non-customer entity attributes. The intuitive Audiences module enhances focus on campaign requirements, allowing seamless push of the desired segment to various destinations.
• Dynamic Journey Creation: The tool leverages real-time customer actions and historical insights, enabling the creation of powerful, scalable personalized journeys utilising both customer and non-customer entity attributes.
• Support for Wider Range of Use Cases: The feature caters to a broader spectrum of marketing needs, including ads, email marketing, personalisation, engagement automation, A/B testing and analytics, using both types of data.

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“At Zeotap, we recognise that understanding your customers goes beyond just customer-related data. In line with our mission to make customer data impactful, we’re excited to unveil our new feature: ‘NCE’, which stands for Non-Customer Entities. This innovative feature significantly boosts marketers’ data-driven capabilities, offering a radical expansion in insights about their customers” said Sathish KS, Chief Technology Officer of Zeotap.

With this innovation, Zeotap is poised to redefine the landscape of customer data platforms, offering unprecedented insights and capabilities to businesses across the globe.

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

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Solix Technologies, a leading provider of cloud data management solutions for data-driven enterprises,announced significant upgrades to its flagship Solix Common Data Platform (CDP). The enhancements are in response to a rapidly shifting digital landscape where the demand has never been greater for enterprise data that is not only safe, secure, and properly governed, but also ‘fit-for-use’ by AI and advanced analytics.

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In the race for digital transformation the all-new Solix CDP 3.0 is timely and caters to the critical need for safe and secure handling of enterprise data across multi-cloud environments. The platform now boasts an integrated end-to-end data fabric for advanced cloud data management applications such as enterprise archiving, enterprise data lake, consumer data privacy and enterprise AI.

Solix CDP 3.0 extends beyond conventional data management with cloud-native, W3C open architecture that leverages proven and trusted open-source solutions like Apache Spark, Apache Iceberg, MLflow, and Llama2. Solix CDP provides secure and compliant data collection, metadata management and data governance, and also features robust data discovery with text search and AI integration. Solix CDP is designed to deliver security best practices, including encryption, data masking, redaction and role-based access control over the data.

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The Solix Common Data Platform provides services that support the end-to-end data fabric requirements of data-driven applications like machine learning and advanced analytics. Sai Gundavelli, CEO of Solix Technologies, Inc., underscores the company’s commitment to innovation and excellence by highlighting four foundational pillars of the common data platform:

• Seamless Connectivity: Collect any data from anywhere seamlessly
• Data Governance: Federated Information Lifecycle Management (ILM) controls for data security and compliance across multi-cloud environments
• Metadata Management: Achieve a deep understanding of your data landscape through centralized metadata management and user-friendly data catalogs featuring data lineage, data classifications, and business glossaries
• Discovery: Empower users with advanced search, query, and reporting, including AI to quickly locate and retrieve data

Sai Gundavelli, CEO of Solix Technologies, emphasizes, “In a world driven by data, our four pillars – connectivity, data governance, metadata management, and data discovery – are crucial services driving cloud data management. Solix Common Data Platform is designed to be safe, secure and private, and to maximize the potential of generative AI and machine learning. AI redefines what’s possible, propelling businesses to the forefront, and Solix is focused on delivering the data fabric solutions needed to drive this data-centric future.”

Key Enhancements in CDP 3.0:

• User-centric Design and Archive Innovation
  

  Solix CDP 3.0 introduces SafeArchive, streamlining the archiving process across different data types, and a new ease-of-use interface democratizing the user experience, empowering more users with data across the enterprise.
  
  

• Advanced Security 
  

  The new version integrates advanced security measures and performance enhancements critical for data protection and swift processing. Improved access control and audit trails ensure data security and compliance making it a robust solution for large-scale enterprises.
  
  

• High Performance
  

  Solix CDP supports Apache Spark and open table formats including Apache Iceberg, Apache Hudi and Delta as a way to organize data files with database features and achieve industry best TPC performance results across a wide variety of workloads using structured and unstructured data.
  
  

• Multi-cloud and SaaS deployment
  

  Engineered for multi-cloud environments, Solix CDP 3.0 is available for private deployment or as a cloud service simplifying complex operations for large, petabyte-scale data management.

Solix delivers cloud data management solutions to leading companies across the insurance, finance, banking, consumer, retail, industrial, healthcare and pharmaceutical industries. Discover more about Solix Common Data Platform 3.0 by visiting the Solix website to schedule a demo or request more information. For additional media resources, please access our press kit here.

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Enabling engineers and researchers to uncover new insights from simulations, create digital threads, and simplify applied AI/ML workflows to accelerate innovation

Rescale, the leader in high performance computing built for the cloud,announces Rescale Metadata Management, a turnkey solution to capture the digital thread and context of R&D data so teams can collaborate effectively and make product decisions quickly.  Rescale Metadata Management supports simulation data management strategies by providing a user-centric approach to data capture and data governance, while integrating with an organizations’ PLM or SPDM systems.

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Engineering and scientific research teams collaborate in the R&D process to evaluate a wide range of product designs and performance criteria. The accelerating growth in AI and simulation-enhanced product development has created a data explosion which organizations are struggling to manage. As companies rapidly adopt these technologies, engineers and scientists often spend nearly half their time managing or searching for the data they need with as much as 97% of generated data going unused.

Rescale Metadata Management is a cloud-based data management framework that provides a seamless, flexible, and automated approach to capture simulation and R&D data context and insights. Organizations can use this capability simply by using Rescale, without the need for complex process tool implementations or changing how they work. See it in action.

“Simulation collaboration across our engineering disciplines is essential in making fast and accurate product decisions,” said Brandon Haugh, Director of Modeling and Simulation at Kairos Power. “Rescale Metadata Management allows engineers to capture context on components, parameters, and performance outcomes, accelerating engineering decisions and product delivery time. Rescale provides a source of truth for our engineering data to capture the intent and outcome of every simulation, making insights easily accessible and decisions that are traceable for all teams involved. This helps us meet tight R&D timelines, while reducing time spent managing data and preventing duplicate work.”

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Built on Rescale’s unique cloud-based control plane architecture to run any engineering application on any cloud, Rescale Metadata Management enables several key use cases to enhance how engineering teams work together and support existing simulation lifecycle management tools:

• Model-Based Collaboration: Engineering teams can share product data and context for various analyses from concept design to final validation with access to always-up-to-date models.
• Simulation Data Traceability: Engineering leaders can view holistic simulation history and decisions with context on inputs, intentions, and findings for final approvals, regulatory audits, or troubleshooting production issues.
• Simulation Data Governance: IT and engineering administrators can set best practices and enforce policies to standardize processes for improved data quality and completeness while monitoring costs and project status.

“Our customers rely on Rescale to serve as the modern foundation for engineering-driven innovation.” said Edward Hsu, Rescale’s Chief Product Officer. “Our role as the cloud-based control plane for engineering computing helps to deliver unparalleled capabilities which can smoothly transition our customers toward digital engineering processes without disruption.”

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

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“Airship AI remains committed to working alongside those protecting the homeland to ensure they have the solutions they need, when they need them, where they need them.”

Outpost AI provides highly efficient edge analytic processing and secure data transmission via a small form factor edge compute device designed to run in the most rugged operational environments. Outpost AI leverages an on-board deep learning accelerator to structure and analyze significant amounts of data at the edge, in real-time, extracting actionable intelligence using a variety of hot-swappable, custom-trained inference engines. Once extracted, the encrypted data is seamlessly streamed to Airship AI’s back-end enterprise management platform Acropolis, for analysis and distribution.

Under the contracts, Outpost AI solutions will be utilized to support real-time intelligence collection operations along the United States’ borders, providing local high-definition recording with user defined low-bit rate video stream encoding, and on-board edge analytic capabilities for advanced object detection and recognition.

“These awards affirm Airship AI’s strategic vision of providing tailored solutions designed to meet exacting and rapidly evolving technical requirements for those on our nation’s front lines,” said Paul Allen, President of Airship AI. “Airship AI remains committed to working alongside those protecting the homeland to ensure they have the solutions they need, when they need them, where they need them.”

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“Border security is rapidly modernizing in response to increased threat assessments and activity, with the global border security market size projected to grow to $68.2 billion by 2030, according to Fortune Business Insights. Border surveillance systems, advanced technologies, and other equipment to enhance border protection are being deployed to heighten security and decrease manpower. We believe our differentiated end-to-end solutions that capitalize on the rapidly growing use of AI to create efficiency, increase speed, reduce costs, and improve decision making, will provide long-term growth for Airship AI,” concluded Allen.

On June 27, 2023, Airship AI Holdings, Inc. announced that it will become publicly listed through a merger transaction with BYTE Acquisition Corp. (Nasdaq: BYTS, BYTS.U, BYTS.WS), a publicly traded special purpose acquisition company. The transaction is expected to close in the fourth quarter of 2023, at which point the combined company’s common stock is expected to trade on the Nasdaq under the ticker symbol “AISP”.

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