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Lightning AI Bolsters Executive Team with Four New VPs to Lead Engineering, Product, Marketing and Design Functions

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NEW YORK, Aug. 11, 2022 (GLOBE NEWSWIRE) — Lightning AI, the company accelerating the development of an AI-powered world, today announced an expanded executive team with strategic new hires from Cohesity, Confluent, Kong and Meta. This new talent deepens core competencies that will accelerate the company’s vision to make building artificial intelligence as simple as building an iOS app. Lightning’s technology empowers researchers and developers to build fully functioning AI products and systems in the cloud, without having to manage complex infrastructure.

Historically, the development of AI-powered products, tools, and services has been limited to large technology companies willing to invest a significant amount of resources and expertise into their creation. Lightning’s fast-growth trajectory is lowering those barriers by unifying the research, development, and infrastructure lifecycle, making it easier and faster than ever before to build powerful AI solutions. The open source Lightning framework (previously called PyTorch Lightning) has been downloaded more than 23 million times since 2019, and has 19.5k GitHub stars and over 700 contributors. More than 10,000 organizations use the Lightning framework, including researchers in both theoretical neuroscience at Columbia University and macroeconomics at the University of British Columbia, as well as Podsights, now part of Spotify’s podcast team.

The new leadership team is uniquely suited to accelerate the next stage of the company’s growth and development to meet the growing market demand for its AI automation platform.

Jatheen Anand joins Lightning as VP of Engineering after spending more than four years at Cohesity, a late-stage data management company, where he also served as VP of Engineering. Jatheen brings more than 23 years of experience in the software industry, including senior engineering roles at Veritas and Symantec. His proven track record of developing world-class products and building high-performing teams from a handful of engineers to hundreds across R&D centers worldwide will enable him to accelerate Lightning’s core engineering efforts. With broad domain expertise that spans data management, security, cloud infrastructure, system architecture and distributed systems, Jatheen will scale Lightning’s engineering team to build best-in-class capabilities and performance.

Priya Shivakumar comes to Lightning as VP of Product, following four years of leading product strategy for Confluent Cloud at Confluent, a newly public, data streaming company. She built the cloud-native experience for Apache Kafka at Confluent, driving product-led growth and developing enterprise pricing across service tiers. Priya’s prior roles also include product management at VMware and global strategy consulting. Using her experience in scaling product-led organizations, Priya will enable Lightning to deliver a best-in-class product and go-to-market focused on reimagining the complex, fragmented process of building ML, which currently stymies even the most tech-savvy organizations.

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Mike Bilodeau is Lightning’s VP of Marketing after four years at Kong, a Series D open-source company, where he led product marketing, technical marketing, and global field enablement. Mike brings a diverse set of experience to Lightning, having also worked at venture-backed startups Grata and Rubrik, as well as in management consulting at Kaiser Associates and venture capital at Route 66 Ventures. He has demonstrated success in developing strategies and teams to effectively cultivate open source communities and commercialize technical products at rapidly growing startups. At Lightning, Mike will drive the developer programs, community engagement and commercial marketing strategies to expand Lightning’s market leadership in AI research to the entire ML ecosystem.

John Paul (JP) Hennessy joins Lightning as VP of UX and Design from Meta, where he led product design strategy and execution for Meta’s internal tools team that powered consumer apps (Facebook, Instagram, WhatsApp, Oculus) and internal initiatives across data, developer and AI infrastructures. He brings a kaleidoscopic professional background focusing on the intersection of experience design and brand identity for more than a decade, encompassing consumer products, AI and blockchain. At Lightning, JP will focus on bringing groundbreaking design thinking to the underserved developer and operational tech stack arena by leading product design, research, and prototyping.

“As one of the leading AI startups in the space, it’s humbling to bring seasoned experts from across the top SaaS companies to help AI become easier to be adopted at scale,” said William Falcon, CEO and co-founder of Lightning AI. “This team has proven it can build world-class companies that can help our community and clients easily scale their AI under real enterprise constraints for which this team has already built solutions in the past. I’m thrilled to partner with Priya, Jatheen, Mike and JP to build the next generational platform for AI. This marks a big step in our evolution from early stage to a sustainable company.”

Learn more about how the expanded executive bench will work together to revolutionize the development of AI solutions by offering a unified, cohesive user experience across the entire application lifecycle.

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.

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For more information, visit: https://www.lightning.ai/

Media Contacts:                                
Mike Bilodeau, Lightning AI, [email protected]  
Jill Reed, Sift Communications for Lightning AI, [email protected]

 

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Sinch Honored with Frost & Sullivan’s Enlightened Growth Leadership Award

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Recognized for Commitment to Making the World a Better Place Through Innovative Growth, Customer Value, and Sustainable Business Practices
STOCKHOLM, Oct. 7, 2024 /PRNewswire/ — Sinch (Sinch AB (publ) – (XSTO: SINCH), which is pioneering the way the world communicates through its Customer Communications Cloud, is pleased to announce that it has been awarded the Enlightened Growth Leadership Best Practices Recognition by the Frost & Sullivan Institute. This prestigious award celebrates Sinch as a Company of Action, for demonstrating best practices in its growth journey, while aligning with Frost and Sullivan’s “innovation to zero” initiative, which focuses on addressing global challenges through sustainable and responsible business practices.

In addition to its sustainability efforts, Sinch was recognized for its technology leadership, leveraging innovations like its cloud-based infrastructure for scalability and cost efficiency, and its API-first approach for rapid integration and customization. AI capabilities are embedded across Sinch’s entire portfolio, enhancing customer experience and operational efficiency, further solidifying its position as a leader in communication technology. The award acknowledges companies that drive significant economic impact and drive transformation, with Sinch advancing toward a future where environmental responsibility and business success are seamlessly aligned.
Sinch was specifically recognized for its dedication to the Science Based Targets initiative aimed at meeting the Paris Agreement’s 1.5°C goal. The company proactively assesses the environmental impact of its products and emphasizes responsible business practices that minimize waste and pollution.
“We are honored to be recognized for our commitment to sustainable growth, innovation, and our dedication to our employees, partners and customers,” shared Jonathan Bean, Chief Marketing Officer at Sinch. “This award reflects our focus on enhancing the customer experience by fostering a culture of responsibility, excellence, and forward-thinking. It also serves as a reminder of our ongoing commitment to reducing our environmental impact, fostering inclusive workplaces, and upholding the highest standards of ethical business practices with our customers and partners,” added Bean.
Sinch believes in the power of communication as a force for good and recognizes its responsibility to lead by example, especially as it powers billions of engagements each year. The company’s Environmental, Social, and Governance (ESG) initiatives are closely aligned with its core values, ensuring that its innovations and strategies not only connect people but also contribute to a sustainable and equitable future.
For further information, please contact:  Janet Lennon, Director of Global Communications [email protected]
This information was brought to you by Cision http://news.cision.com
 

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LG Innotek Becomes Industry’s First to Use AI to Prevent Input of Defective Raw Materials in Production

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Achieved early detection of cause of defects in raw materials through AI, becoming “first to overcome this challenge in the industry”Applied to high-value semiconductor substrates, analyzing raw material defects in only one minuteReduces defect analysis time by up to 90%SEOUL, South Korea, Oct. 7, 2024 /PRNewswire/ — Today, LG Innotek (CEO Moon Hyuksoo) announced the development and application of the industry’s first “Artificial Intelligence (AI)-based inspection system for incoming raw materials”, designed to detect defects at the point of receipt and prevent the use of substandard raw materials in the process.

LG Innotek applied its AI-based inspection technology, developed by combining material information and AI image processing technologies, to the RF-SiP (Radio Frequency System-in-Package) process. Recently, the technology was also introduced for the FC-BGA (Flip Chip Ball Grid Array), and is expected to further enhance the competitiveness and quality of LG Innotek’s high-value semiconductor substrate products.
Previously, incoming raw materials underwent only a visual inspection before entering the production process. However, the continued advancement of semiconductor substrate technology changed this. Even after improving all in-process defect causes, failures in reliability evaluations continued to rise. This led the quality of incoming materials to gain attention as a decisive factor affecting reliability evaluations. 
The core raw materials (i.e. Prepreg (PPG), Ajinomoto Build-up Film (ABF), and Copper-Clad Laminate (CCL)) that comprise semiconductor substrates arrive as a mixture of glass fibers, inorganic compounds, and other components. In the past, air voids (gaps between particles) or foreign particles generated during the material mixing process did not significantly impact product performance. However, as substrate specifications, such as circuit spacing, have become increasingly stringent, the presence of air voids and foreign particles, depending on their size, has started to cause defects.
As a result, it is virtually impossible to identify which part of the raw material is responsible for the defect using traditional visual inspection methods, which has become a significant challenge for the industry.
If we were to compare one lot of raw materials mixture (unit of raw materials with the same characteristics that goes into the production process) to a batch of cookie dough, it is impossible for the eye to perceive the concentration of salt or sugar in a certain portion, the number of air holes in the dough, or the number of foreign particles.
LG Innotek has found a way to overcome this industry challenge with AI. Its “AI-based Inspection System for Incoming Raw Materials” has been trained with tens of thousands of pieces of data on the composition of materials that are either suitable or unsuitable for a product. Based on this, it analyzes the components and defective areas of semiconductor substrate raw materials in only one minute, with an accuracy rate of over 90%, and visualizes quality deviations in each lot of raw materials.
By using AI machine learning to visualize, quantify, and standardize material configurations optimized for quality, LG Innotek has been able to prevent defective raw materials from entering the production process. The company can change the material design based on the quality deviation information visualized by the AI system, allowing it to ensure that the quality of the raw materials lot is uniform at a suitable level before entering the process.
An LG Innotek official commented, “With the “AI-based Inspection System for Incoming Raw Materials”, the time required to analyze defects has been decreased by up to 90%, and the cost of resolving the causes of defects has been significantly reduced.”
LG Innotek plans to enhance the AI system’s detection capabilities by sharing raw materials-related data with customers and suppliers in the substrate sector through digital partnerships.
Additionally, the company aims to expand the system’s application to optical solutions, such as camera modules, where the image-based detection of material defects can play a crucial role.
LG Innotek CTO S.David Roh said, “With the “AI-based inspection system”, we will complete LG Innotek’s unique AI ecosystem, which delivers exceptional customer value by identifying causes of product defects early in the production process.” He added, “We will continue innovating in digital production technology to create top-quality products at the lowest cost and in the shortest time.”
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CogX Unveils Innovative Knowledge Networking Platform, Proxxi AI, at the CogX Leadership Summit

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New platform uses pioneering “Expert-in-the-Loop” model that matches questions from users with the best specialists to answer them – all assisted by state-of-the-art AI
LONDON, Oct. 7, 2024 /PRNewswire/ — CogX Group Ltd, the tech community and online platforms group, which brings together the sector’s leaders and innovators from across the world, will showcase today its new knowledge networking platform, Proxxi AI, an “expert-in-the-loop” model that connects users and specialists to provide bespoke answers to their questions, assisted by state-of-the art AI.

Proxxi AI will be unveiled later at CogX’s London Leadership Summit at the historic Royal Albert Hall. Proxxi AI understands user questions, identifies the best available experts, assists them with answers based on their own trained “proxxi”, and features a broad range of subjects to deliver the best of AI, but with human oversight.
The live stream of the Summit will be available on YouTube from 10 am here.
Proxxi AI aims to play a leading role within a global knowledge management marketplace projected to grow beyond $1 trillion by 2026 (MarketsandMarkets), with organisations seeking faster, reliable, and lower-cost ways to access expertise and stay ahead of the curve.
Employing the latest large language models (LLMs), Proxxi AI will continuously learn and improve each expert’s proxxi and ranking. The platform will initially be accessed via Slack, Teams, and the CogX Insights app. Shortly after it will be available via API for web and mobile app developers. It supports a broad range of use cases for startups and enterprises, governments, universities and research institutions.
CogX will be demonstrating Proxxi AI at today’s Leadership Summit throughout the day.
Also announced today is the organisation of CogX’s businesses — CogX Ltd (UK Events and the CogX Insights app) and Proxxi AI (Knowledge Network)— under CogX Group Ltd  enabling the community to connect both in-person at our events, and through its two online platforms.
Charlie Muirhead, Founder and CEO of CogX, said:
“CogX’s mission is to convene our community to address the question: How do we get the next 10 years right?  To do so, we need to connect the right people to the right expertise, just when they need it.
So we’re hugely excited to be sharing Proxxi AI today at the Leadership Summit, which will instantly connect people to subject specialists through Slack and Teams our own CogX Insights app, and shortly after via our API for web and mobile app developers.
By blending AI-driven insights with trusted expert oversight, we will empower organisations, large and small, to better navigate the rapid technological changes taking place and enhance their overall performance.”
Notes to editors
About CogX
Co-founded by Charlie Muirhead in 2017, CogX is a tech community and online platforms business that convenes inspirational events featuring leading voices from a huge range of sectors. The community brings together entrepreneurs, business leaders, academics, investors and policy makers both in-person, and online.
More about CogX Leadership Summit London
Taking place at the Royal Albert Hall – the historic venue that hosted the 1851 Great Exhibition, a showcase of the 1st Industrial Revolution – the CogX Summit will focus on the 4th Industrial Revolution, an era of technological convergence that will change the way we live and work.
The Summit is being held on Monday 7th October 2024, and will bring together over 100 world-class speakers, and host over 20 editorially curated salons and mixers to answer the central question: “How do we seize the AI opportunity?
Leaders from Google, OpenAI, Microsoft, NVIDIA, Meta, Hugging Face, Northern Data, Stanford University, and companies at the forefront of generative AI will join over 2,500 delegates to discuss how to apply AI safely and responsibly today and improve productivity and drive business growth.
The live stream of the Summit is available on YouTube from 10am here. (https://shorturl.at/lj3HP).
 
 

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