Home > News > Trending news > SmartCow Launches AIoT Device Management Platform to Simplify Deployment and Centralized Management of Edge AI Systems

AI APPLICATIONS

SmartCow Launches AIoT Device Management Platform to Simplify Deployment and Centralized Management of Edge AI Systems

SmartCow | June 21, 2022

SmartCow
SmartCow, an AI engineering company specializing in video analytics, AIoT devices, and smart city solutions today introduced its new AIoT Device Management Platform, FleetTrackr, that offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service. Key applications include smart cities using city surveillance and traffic management with thousands of AIoT devices connected simultaneously; smart manufacturing using AI for inventory management; large-scale surveillance and security deployments; and smart retail edge deployments.

"Fleet management software will revolutionize companies' ability to digitally transform their business operations, and FleetTrackr is at the forefront of speciality AIoT device management software. "We recognize the need for responsive, flexible, and remotely-operated AI solutions as demand increases for efficient, smart technology."

Ravi Kiran, SmartCow CEO

Fleet management software is crucial for effective device management and large-scale AI deployments, whether that be for retailers building intelligent stores, or hospitals using AI to improve patient care and administrative workflow. Fleets of IoT devices need to be capable of running unattended with the ability to be reprogrammed with newer versions of device kernels or security updates. Instead of allocating unnecessary resources to reprogram these devices with new software updates, FleetTrackr comes with its own Firmware-Over-The-Air (FOTA) functionality that allows users to provision, manage, maintain, monitor, and update thousands of devices, entirely over-the-air. FleetTrackr's 24/7 remote management includes integrated security and privacy and offers a 30 percent reduction in maintenance, time, and labor costs.

"A large number of heterogeneous devices forming an IoT network should be capable of running unattended at all times and reprogramming a group of devices is a challenging task when they cannot be done remotely. FleetTrackr allows administrators to update all the devices in a desired network with new software without spending weeks planning and executing deployment plans," continued Kiran. "FleetTrackr enables users to not only identify problems with large fleets of devices, but to perform software updates as well as backup and restore firmware when a device turns out to be faulty, making the experience seamless, efficient, and secure."

The FleetTrackr Unified Dashboard
The FleetTrackr Unified Dashboard (UI) enables users and teams to remotely manage tens of thousands of IoT devices that are in the field. The UI dashboard provides solutions for device management, software management, and issue management. Users can upgrade their AI solutions, add or delete applications, update system firmware and software, streamline operations and administrative tasks, and monitor the health metrics of devices spread over vast distances from a single control panel.

About SmartCow
Established in 2016, SmartCow is an end-to-end AI engineering company that builds hardware and software products for AI applications used by the defense industry, in smart cities and industry 4.0. Strategic partners include NVIDIA and PNY. The company is located in Malta, India and Taiwan and is expanding to Italy, France and Singapore.

Spotlight

The battle for competitive advantage in the app economy

A new kind of company, the software-driven enterprise, is redefining business strategy and performance. Across industries and around the world, these companies are leaders in the accelerating application economy, where code is king and competitive differentiation depends on customer-pleasing apps and advanced development methods.


Other News
SOFTWARE

Cycle.io announces partnership with leading custom Software Development firm, Dev.Pro

Cycle.io | August 05, 2022

Cycle.io, a low-ops application deployment platform, recently announced the Cycle Partner Program, and today we are happy to add Dev.Pro as one of our new Development Agency Partners. Our partnership empowers Dev.Pro development teams to build and deploy advanced solutions, products, and services efficiently on the Cycle Platform. Dev.Pro, a US based software, custom development partner, works with customers across many industries using state of the art technologies. Dev.Pro enables their customers to grow by expediting time to market and delivering new products and features in a cost effective and efficient manner. This new partnership with Cycle expands the Dev.Pro portfolio and ensures that customers continue to have access to the latest solutions. “The Cycle & Dev.Pro partnership is a natural fit for both organizations. Cycle offers a reliable, scalable, and feature rich platform; while Dev.Pro has the engineering expertise and experience to build and support even the most complex environments. ” Brian Agee, Chief Revenue Officer, Dev.Pro. Cycle’s all-in-one platform has been used to deploy over a million containers, becoming the bridge between our partners' infrastructure and their code. The platform offers increased flexibility to scale their solutions utilizing Cycle’s rich set of features via the portal or through their powerful API. “We are extremely excited to have Dev.Pro join our partner program. Dev.Pro has a reputation for having impressive engineering skills and outperforming customer expectations. Working with the Dev.Pro team over the course of the past six months indicates that this is only the tip of the iceberg”. Karl Empey, Head of Sales, Cycle.io. About Cycle Cycle is the all-in-one low-ops platform built for deploying, scaling, and monitoring your websites, backends, and APIs. With automatic platform updates, standardized deployments, a powerful API, and bottleneck crushing automation—the platform offers batteries included, and no DevOps team required. Founded in 2015, the company is headquartered in Reno, NV. About Dev.Pro Dev.Pro is a software development partner that allows innovative technology companies to amplify their growth ambitions and expedite time-to-market.Result-driven. Quality-obsessed. Dev.Pro builds teams that deliver a custom software development experience to meet any skillset, complexity, or scale. With a carefully curated staff of more than 850 highly skilled specialists, Dev.Pro offers a wide range of technical expertise including: Software Development, Cloud, DevOps, UI/UX Design, System Integration, Reporting/Analytics, and Manual/Automation Testing. Dev.Pro is a globally distributed company operating in 50+ countries spread across 5 continents.

Read More

GENERAL AI

Deep Dive Into Advanced AI and Machine Learning at The Behavox Artificial Intelligence in Compliance and Security Conference

Behavox Ltd. | June 29, 2022

On July 19th, Behavox will host a conference to share the next generation of artificial intelligence in Compliance and Security with clients, regulators, and industry leaders. The Behavox AI in Compliance and Security Conference will be held at the company HQ in Montreal. With this exclusive in-person conference, Behavox is relaunching its pre-COVID tradition of inviting customers, regulators, AI industry leaders, and partners to its Montreal HQ to deep dive into workshops and keynote speeches on compliance, security, and artificial intelligence. “We’re extremely excited to relaunch our tradition of inviting clients to our offices in order to learn directly from the engineers and data scientists behind our groundbreaking innovations. “Attendees at the conference will get to enjoy keynote presentations as well as Innovation Paddocks where you can test drive our latest innovations and also spend time networking with other industry leaders and regulators”. Chief Customer Intelligence Officer Fahreen Kurji Keynote presentations will cover: Testing and Quality assurance framework for compliance models. Increasing employee and data coverage with a new data processing engine built for AI. Improving accuracy of voice transcription using continuous learning. The conference will also feature Innovation Paddocks where guests will be able to learn more from the engineers and data scientists behind Behavox innovations. At this conference, Behavox will demonstrate its revolutionary new product - Behavox Quantum™. There will be test drives and numerous workshops covering everything from infrastructure for cloud orchestration to the AI engine at the core of Behavox Quantum™. What’s in it for participants? Knowledge on the state of AI in Compliance and Security; Learn how the industry is approaching implementation of AI in Compliance and Security; Network with industry experts from all around the world; Get professional training credits. Behavox Quantum™ has been rigorously tested and benchmarked against existing solutions in the market and it outperformed competition by at least 3,000x using new AI risk policies, providing a holistic security program to catch malicious, immoral, and illegal actors, eliminating fraud and protecting your digital headquarters. Attendees at the July 19th conference will include C-suite executives from top global banks, financial institutions, and corporations with many prospects and clients sending entire delegations to the conference. Justin Trudeau, Canadian Prime Minister, will give the commencement speech at the conference in recognition/ celebration of the world leading AI innovations coming out of Canada. This is a unique opportunity to test drive the product and meet the team behind the innovations as well as network with top industry professionals. Register here for the Behavox AI in Compliance and Security Conference. About Behavox Ltd. Behavox provides a suite of security products that help compliance, HR, and security teams protect their company and colleagues from business risks. Through AI-powered analysis of all corporate communications, including email, instant messaging, voice, and video conferencing platforms, Behavox helps organizations identify illegal, immoral, and malicious behavior in the workplace.

Read More

SOFTWARE

Landing AI Adds New Edge Capabilities to LandingLens to Bring Deep Learning to the Factory Floor

Landing AI | June 06, 2022

Landing AI today announced the launch of LandingEdge, a new deployment application within the company's flagship platform, LandingLens. With LandingEdge, manufacturers will more easily deploy deep learning visual inspection solutions to edge devices on the factory floor to better and more consistently detect product defects. Announced at Automate 2022, North America's largest automation trade show and conference, LandingEdge extends the capability of LandingLens into even more manufacturing environments. LandingLens enables teams to build deep learning models. With the new edge capabilities, LandingLens customers will more easily integrate with factory infrastructure to communicate with cameras, apply models to images and make predictions to inform real-time decision making on the factory floor. If the factory is connected to the cloud, LandingEdge can update LandingLens with new data to continuously improve deep learning models. LandingLens has also been enhanced to enable training a deep learning model up to seven times faster than before. By reducing the time it takes to train models, customers achieve fast and iterative AI processes and optimize model accuracy. "These products mark huge steps in bringing deep learning solutions to the factory floor that are easily integrated to perform automated inspection for a broad range of applications. "They put ever more powerful tools in the hands of manufacturers and systems integrators to quickly implement inspection solutions that result in lower costs, increased productivity, and improve customer product satisfaction." David L. Dechow, Vice President of Outreach and Vision Technology at Landing AI The mission of Landing AI, under the leadership of AI pioneer Andrew Ng, is to bring the benefits of deep learning-based inspection to all industries with its pioneering data-centric approach in which the power of deep learning is unleashed even if companies have limited datasets. First unveiled in 2020, LandingLens provides Landing AI's customers with the end-to-end automated inspection platform that enables manufacturing, quality, and AI teams alike to quickly and easily train, test, confirm, and deploy visual inspection solutions based on high-quality and verified data on the plant floor. Deep learning is a key machine vision trend for 2022 and beyond in industrial automated inspection applications. But deep learning is not magic and does not automatically make it easy to program an inspection system. As with any vision application, the quality of the input data — the images — is essential to the quality of the output. This is particularly true for data used to train an algorithm. In addition, proper labeling is essential for the implementation of a deep learning inspection system. About Landing AI Landing AI™ is pioneering the next era of AI in which companies with limited data sets can realize the business and operational value of AI and move AI projects from proof-of-concept to full scale production. Guided by a data-centric AI approach, Landing AI's flagship product is LandingLens™, an enterprise MLOps platform that offers to build, iterate and deploy AI powered visual inspection solutions for manufacturers. With data quality being key to the success of production AI systems, LandingLens™ enables users to achieve optimal data accuracy and consistency. Founded by Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, Landing AI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.

Read More

GENERAL AI

PyTorch Lightning Creator, Lightning AI, Launches Open-Source Platform and Raises $40 Million Series B to Reinvent the Way AI is Built

Lightning AI | June 18, 2022

Lightning AI today unveiled the groundbreaking Lightning AI platform, backed by a $40 million Series B funding round, that completely reimagines how Artificial Intelligence (AI) products, services, and experiences are built. With Lightning AI’s new platform and framework, the company is introducing a frictionless way to build AI-powered products and services as apps composed of modular components that are seamlessly integrated and connected. Serving as the “operating system for AI,” Lightning AI’s platform ushers in a new era of accessibility and sophistication in the field of AI technology. The platform and underlying framework introduce a novel way to build AI by providing a unified experience that accelerates the deployment of AI technology across academic and enterprise use cases. Amid a fragmented machine learning ecosystem, Lightning AI’s suite of extensible open-source components and apps simplifies the underserved space and helps advance the widespread adoption of AI technology. “Launching this platform is a vital step for our company and the industry. “From day one, I wanted to reimagine the experience of building artificial intelligence beyond the current surfeit of tools and systems. Until now, there hasn’t been a way to build production-grade AI apps that takes into account the entire pipeline from development to production. Current options are limiting, highly prescriptive, and lack the flexibility needed to leverage AI in real-world scenarios. Imagine wanting to make a phone call and you’re simply handed the disparate parts that make up a working telephone, hoping that one day you’ll be able to make a phone call. Lightning AI takes the principles that have made PyTorch Lightning one of the fastest-growing open-source projects in history - simplicity, modularity, and sustainability - and applies them to the task of unifying the entire AI development and infrastructure lifecycle.” William Falcon, Lightning AI co-founder and CEO Lightning AI is the culmination of work that began in 2018 at the New York University CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) and Facebook AI Research. As a Ph.D. student working alongside advisers Kyunghyun Cho and Yann LeCun, William Falcon created and open-sourced the popular PyTorch Lightning framework. The explosive growth of the project within the AI community led Falcon to build a platform and company focused on eliminating barriers to widespread AI adoption. Grounded in the success of the PyTorch Lightning framework, the company built Grid, a platform for developing and training machine learning models on the cloud. The key to the company’s previous successes has been its unique ability to abstract away engineering infrastructure from the machine learning lifecycle while maintaining rigorous flexibility for experts who want full control over what they’re building. The Lightning AI platform and framework are powered by these groundbreaking advancements, enabling users to conceptualize, build, and deploy AI technology in a matter of weeks, compared to the months and years it would normally take. "We are excited about the development Lightning AI is leading by allowing AI-driven applications relevant to specific verticals come to life in a simple way. The partnership will bring further ease-of-use to customers and fit well with AWS’s industry, use-case and business problem driven approach,” said Dr. Kristof Schum, Global Segment Leader of Machine Learning at Amazon Web Services. $40M Series B Fuels Lightning AI Platform and Community Growth This $40 million Series B funding round, led by Coatue with participation from Index, Bain, First Minute Capital, and the Chainsmokers’ Mantis VC, brings the total raised to date to $58.6 million. Coatue General Partner Caryn Marooney has joined the board of directors, which also includes Index Ventures Partner Bryan Offutt. The capital will fuel further technology innovation, fund new AI research, and be invested back in the company’s growing user community and ecosystem. Lightning AI’s mission is to lower the barriers to AI adoption as the global AI market is skyrocketing and on track to exceed $500 billion by 2024. “As more companies across every sector leverage AI for crucial functions, they need a solution that makes it simple to consume, train, and use AI while also building applications free from vendor lock-in and specialized AI experts,” said Caryn Marooney, General Partner, Coatue. “Coatue immediately saw the potential and significance of Lightning AI’s mission to democratize AI. We look forward to supporting William and his team as they write a new playbook for AI deployment.” The Lightning-Fast Way to Build AI Apps Lightning AI allows researchers, data scientists, and software engineers to build, share and iterate on highly scalable, production-ready AI apps using the tools and technologies of their choice, regardless of their expertise. To solve any kind of AI problem from research to deployment and production-ready pipelines, users can simply group components of their choice into a Lightning App and customize the underlying code as needed. Lightning Apps can then be republished back into the community for future use, or kept private in users’ personal libraries. Lightning AI combines a wide variety of extant tools into a modular, intuitive platform for building AI applications in research, enterprise and personal contexts. It is the foundation of the growing Lightning ecosystem, which provides developers with a suite of ready-to-use tools and required infrastructure and compute resources, as well as community support for building AI applications. The Lightning AI platform is available now and includes: The new Lightning framework, which extends PyTorch Lightning’s simple, modular, and flexible design principles to the entire app development process A collection of tools and functionalities relevant to machine learning, including workflow scheduling for distributed computing, infrastructure-as-code, and connecting web UIs A gallery of AI apps, curated by the Lightning team, which can be used instantly or further built upon A library of components that add functionalities to users’ apps, such as extracting data from streaming video A hosting platform for running and maintaining private and public AI apps on the cloud The ability to build and run Lightning Apps on private cloud infrastructure or in an on-prem enterprise environment About Lightning AI Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

Read More

SOFTWARE

Cycle.io announces partnership with leading custom Software Development firm, Dev.Pro

Cycle.io | August 05, 2022

Cycle.io, a low-ops application deployment platform, recently announced the Cycle Partner Program, and today we are happy to add Dev.Pro as one of our new Development Agency Partners. Our partnership empowers Dev.Pro development teams to build and deploy advanced solutions, products, and services efficiently on the Cycle Platform. Dev.Pro, a US based software, custom development partner, works with customers across many industries using state of the art technologies. Dev.Pro enables their customers to grow by expediting time to market and delivering new products and features in a cost effective and efficient manner. This new partnership with Cycle expands the Dev.Pro portfolio and ensures that customers continue to have access to the latest solutions. “The Cycle & Dev.Pro partnership is a natural fit for both organizations. Cycle offers a reliable, scalable, and feature rich platform; while Dev.Pro has the engineering expertise and experience to build and support even the most complex environments. ” Brian Agee, Chief Revenue Officer, Dev.Pro. Cycle’s all-in-one platform has been used to deploy over a million containers, becoming the bridge between our partners' infrastructure and their code. The platform offers increased flexibility to scale their solutions utilizing Cycle’s rich set of features via the portal or through their powerful API. “We are extremely excited to have Dev.Pro join our partner program. Dev.Pro has a reputation for having impressive engineering skills and outperforming customer expectations. Working with the Dev.Pro team over the course of the past six months indicates that this is only the tip of the iceberg”. Karl Empey, Head of Sales, Cycle.io. About Cycle Cycle is the all-in-one low-ops platform built for deploying, scaling, and monitoring your websites, backends, and APIs. With automatic platform updates, standardized deployments, a powerful API, and bottleneck crushing automation—the platform offers batteries included, and no DevOps team required. Founded in 2015, the company is headquartered in Reno, NV. About Dev.Pro Dev.Pro is a software development partner that allows innovative technology companies to amplify their growth ambitions and expedite time-to-market.Result-driven. Quality-obsessed. Dev.Pro builds teams that deliver a custom software development experience to meet any skillset, complexity, or scale. With a carefully curated staff of more than 850 highly skilled specialists, Dev.Pro offers a wide range of technical expertise including: Software Development, Cloud, DevOps, UI/UX Design, System Integration, Reporting/Analytics, and Manual/Automation Testing. Dev.Pro is a globally distributed company operating in 50+ countries spread across 5 continents.

Read More

GENERAL AI

Deep Dive Into Advanced AI and Machine Learning at The Behavox Artificial Intelligence in Compliance and Security Conference

Behavox Ltd. | June 29, 2022

On July 19th, Behavox will host a conference to share the next generation of artificial intelligence in Compliance and Security with clients, regulators, and industry leaders. The Behavox AI in Compliance and Security Conference will be held at the company HQ in Montreal. With this exclusive in-person conference, Behavox is relaunching its pre-COVID tradition of inviting customers, regulators, AI industry leaders, and partners to its Montreal HQ to deep dive into workshops and keynote speeches on compliance, security, and artificial intelligence. “We’re extremely excited to relaunch our tradition of inviting clients to our offices in order to learn directly from the engineers and data scientists behind our groundbreaking innovations. “Attendees at the conference will get to enjoy keynote presentations as well as Innovation Paddocks where you can test drive our latest innovations and also spend time networking with other industry leaders and regulators”. Chief Customer Intelligence Officer Fahreen Kurji Keynote presentations will cover: Testing and Quality assurance framework for compliance models. Increasing employee and data coverage with a new data processing engine built for AI. Improving accuracy of voice transcription using continuous learning. The conference will also feature Innovation Paddocks where guests will be able to learn more from the engineers and data scientists behind Behavox innovations. At this conference, Behavox will demonstrate its revolutionary new product - Behavox Quantum™. There will be test drives and numerous workshops covering everything from infrastructure for cloud orchestration to the AI engine at the core of Behavox Quantum™. What’s in it for participants? Knowledge on the state of AI in Compliance and Security; Learn how the industry is approaching implementation of AI in Compliance and Security; Network with industry experts from all around the world; Get professional training credits. Behavox Quantum™ has been rigorously tested and benchmarked against existing solutions in the market and it outperformed competition by at least 3,000x using new AI risk policies, providing a holistic security program to catch malicious, immoral, and illegal actors, eliminating fraud and protecting your digital headquarters. Attendees at the July 19th conference will include C-suite executives from top global banks, financial institutions, and corporations with many prospects and clients sending entire delegations to the conference. Justin Trudeau, Canadian Prime Minister, will give the commencement speech at the conference in recognition/ celebration of the world leading AI innovations coming out of Canada. This is a unique opportunity to test drive the product and meet the team behind the innovations as well as network with top industry professionals. Register here for the Behavox AI in Compliance and Security Conference. About Behavox Ltd. Behavox provides a suite of security products that help compliance, HR, and security teams protect their company and colleagues from business risks. Through AI-powered analysis of all corporate communications, including email, instant messaging, voice, and video conferencing platforms, Behavox helps organizations identify illegal, immoral, and malicious behavior in the workplace.

Read More

SOFTWARE

Landing AI Adds New Edge Capabilities to LandingLens to Bring Deep Learning to the Factory Floor

Landing AI | June 06, 2022

Landing AI today announced the launch of LandingEdge, a new deployment application within the company's flagship platform, LandingLens. With LandingEdge, manufacturers will more easily deploy deep learning visual inspection solutions to edge devices on the factory floor to better and more consistently detect product defects. Announced at Automate 2022, North America's largest automation trade show and conference, LandingEdge extends the capability of LandingLens into even more manufacturing environments. LandingLens enables teams to build deep learning models. With the new edge capabilities, LandingLens customers will more easily integrate with factory infrastructure to communicate with cameras, apply models to images and make predictions to inform real-time decision making on the factory floor. If the factory is connected to the cloud, LandingEdge can update LandingLens with new data to continuously improve deep learning models. LandingLens has also been enhanced to enable training a deep learning model up to seven times faster than before. By reducing the time it takes to train models, customers achieve fast and iterative AI processes and optimize model accuracy. "These products mark huge steps in bringing deep learning solutions to the factory floor that are easily integrated to perform automated inspection for a broad range of applications. "They put ever more powerful tools in the hands of manufacturers and systems integrators to quickly implement inspection solutions that result in lower costs, increased productivity, and improve customer product satisfaction." David L. Dechow, Vice President of Outreach and Vision Technology at Landing AI The mission of Landing AI, under the leadership of AI pioneer Andrew Ng, is to bring the benefits of deep learning-based inspection to all industries with its pioneering data-centric approach in which the power of deep learning is unleashed even if companies have limited datasets. First unveiled in 2020, LandingLens provides Landing AI's customers with the end-to-end automated inspection platform that enables manufacturing, quality, and AI teams alike to quickly and easily train, test, confirm, and deploy visual inspection solutions based on high-quality and verified data on the plant floor. Deep learning is a key machine vision trend for 2022 and beyond in industrial automated inspection applications. But deep learning is not magic and does not automatically make it easy to program an inspection system. As with any vision application, the quality of the input data — the images — is essential to the quality of the output. This is particularly true for data used to train an algorithm. In addition, proper labeling is essential for the implementation of a deep learning inspection system. About Landing AI Landing AI™ is pioneering the next era of AI in which companies with limited data sets can realize the business and operational value of AI and move AI projects from proof-of-concept to full scale production. Guided by a data-centric AI approach, Landing AI's flagship product is LandingLens™, an enterprise MLOps platform that offers to build, iterate and deploy AI powered visual inspection solutions for manufacturers. With data quality being key to the success of production AI systems, LandingLens™ enables users to achieve optimal data accuracy and consistency. Founded by Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, Landing AI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.

Read More

GENERAL AI

PyTorch Lightning Creator, Lightning AI, Launches Open-Source Platform and Raises $40 Million Series B to Reinvent the Way AI is Built

Lightning AI | June 18, 2022

Lightning AI today unveiled the groundbreaking Lightning AI platform, backed by a $40 million Series B funding round, that completely reimagines how Artificial Intelligence (AI) products, services, and experiences are built. With Lightning AI’s new platform and framework, the company is introducing a frictionless way to build AI-powered products and services as apps composed of modular components that are seamlessly integrated and connected. Serving as the “operating system for AI,” Lightning AI’s platform ushers in a new era of accessibility and sophistication in the field of AI technology. The platform and underlying framework introduce a novel way to build AI by providing a unified experience that accelerates the deployment of AI technology across academic and enterprise use cases. Amid a fragmented machine learning ecosystem, Lightning AI’s suite of extensible open-source components and apps simplifies the underserved space and helps advance the widespread adoption of AI technology. “Launching this platform is a vital step for our company and the industry. “From day one, I wanted to reimagine the experience of building artificial intelligence beyond the current surfeit of tools and systems. Until now, there hasn’t been a way to build production-grade AI apps that takes into account the entire pipeline from development to production. Current options are limiting, highly prescriptive, and lack the flexibility needed to leverage AI in real-world scenarios. Imagine wanting to make a phone call and you’re simply handed the disparate parts that make up a working telephone, hoping that one day you’ll be able to make a phone call. Lightning AI takes the principles that have made PyTorch Lightning one of the fastest-growing open-source projects in history - simplicity, modularity, and sustainability - and applies them to the task of unifying the entire AI development and infrastructure lifecycle.” William Falcon, Lightning AI co-founder and CEO Lightning AI is the culmination of work that began in 2018 at the New York University CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) and Facebook AI Research. As a Ph.D. student working alongside advisers Kyunghyun Cho and Yann LeCun, William Falcon created and open-sourced the popular PyTorch Lightning framework. The explosive growth of the project within the AI community led Falcon to build a platform and company focused on eliminating barriers to widespread AI adoption. Grounded in the success of the PyTorch Lightning framework, the company built Grid, a platform for developing and training machine learning models on the cloud. The key to the company’s previous successes has been its unique ability to abstract away engineering infrastructure from the machine learning lifecycle while maintaining rigorous flexibility for experts who want full control over what they’re building. The Lightning AI platform and framework are powered by these groundbreaking advancements, enabling users to conceptualize, build, and deploy AI technology in a matter of weeks, compared to the months and years it would normally take. "We are excited about the development Lightning AI is leading by allowing AI-driven applications relevant to specific verticals come to life in a simple way. The partnership will bring further ease-of-use to customers and fit well with AWS’s industry, use-case and business problem driven approach,” said Dr. Kristof Schum, Global Segment Leader of Machine Learning at Amazon Web Services. $40M Series B Fuels Lightning AI Platform and Community Growth This $40 million Series B funding round, led by Coatue with participation from Index, Bain, First Minute Capital, and the Chainsmokers’ Mantis VC, brings the total raised to date to $58.6 million. Coatue General Partner Caryn Marooney has joined the board of directors, which also includes Index Ventures Partner Bryan Offutt. The capital will fuel further technology innovation, fund new AI research, and be invested back in the company’s growing user community and ecosystem. Lightning AI’s mission is to lower the barriers to AI adoption as the global AI market is skyrocketing and on track to exceed $500 billion by 2024. “As more companies across every sector leverage AI for crucial functions, they need a solution that makes it simple to consume, train, and use AI while also building applications free from vendor lock-in and specialized AI experts,” said Caryn Marooney, General Partner, Coatue. “Coatue immediately saw the potential and significance of Lightning AI’s mission to democratize AI. We look forward to supporting William and his team as they write a new playbook for AI deployment.” The Lightning-Fast Way to Build AI Apps Lightning AI allows researchers, data scientists, and software engineers to build, share and iterate on highly scalable, production-ready AI apps using the tools and technologies of their choice, regardless of their expertise. To solve any kind of AI problem from research to deployment and production-ready pipelines, users can simply group components of their choice into a Lightning App and customize the underlying code as needed. Lightning Apps can then be republished back into the community for future use, or kept private in users’ personal libraries. Lightning AI combines a wide variety of extant tools into a modular, intuitive platform for building AI applications in research, enterprise and personal contexts. It is the foundation of the growing Lightning ecosystem, which provides developers with a suite of ready-to-use tools and required infrastructure and compute resources, as well as community support for building AI applications. The Lightning AI platform is available now and includes: The new Lightning framework, which extends PyTorch Lightning’s simple, modular, and flexible design principles to the entire app development process A collection of tools and functionalities relevant to machine learning, including workflow scheduling for distributed computing, infrastructure-as-code, and connecting web UIs A gallery of AI apps, curated by the Lightning team, which can be used instantly or further built upon A library of components that add functionalities to users’ apps, such as extracting data from streaming video A hosting platform for running and maintaining private and public AI apps on the cloud The ability to build and run Lightning Apps on private cloud infrastructure or in an on-prem enterprise environment About Lightning AI Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

Read More

More Trending news

Spotlight

The battle for competitive advantage in the app economy

A new kind of company, the software-driven enterprise, is redefining business strategy and performance. Across industries and around the world, these companies are leaders in the accelerating application economy, where code is king and competitive differentiation depends on customer-pleasing apps and advanced development methods.

Resources

Microsoft Power Apps, Microsoft Power Automate and Microsoft Power Virtual Agents Licensing Guide

Whitepaper

How are Low-Code and No-Code Apps Fuelling Digital Transformation?

Article

Microsoft Power Platform 2022 Release Wave 2 Release Highlights

Video

Microsoft Power Apps, Microsoft Power Automate and Microsoft Power Virtual Agents Licensing Guide

Whitepaper

How are Low-Code and No-Code Apps Fuelling Digital Transformation?

Article

Microsoft Power Platform 2022 Release Wave 2 Release Highlights

Video