SynXis Concierge.AI represents Sabre Hospitality’s first deployment of Generative AI, a technology that generates new content from inputs such as text, images, and code. Drawing on Sabre’s extensive data resources, Concierge.AI provides immediate, detailed, and accurate responses to specific queries, ensuring that effectiveness is no longer solely dependent on support agent knowledge and experience. 

Initially, SynXis Concierge.AI is being utilized by Sabre’s Customer Care and Delivery (CCD) team to enhance customer service. The entire CCD team is equipped with Concierge.AI, poised to handle a variety of customer interactions including questions, requests, and problem resolution. 

“SynXis Concierge.AI will significantly elevate the customer service experience by providing swift and accurate resolutions,” said Scott Wilson, President, Sabre Hospitality. “This innovation underscores our commitment to leveraging cutting-edge technology to meet and exceed our customers’ expectations.” 

Sabre Hospitality’s plans for SynXis Concierge.AI, include integration into the Community Portal to enhance self-service capabilities. Sabre is also exploring its application in existing products to drive operational efficiency and optimize conversions.  

“Generative AI represents a monumental leap in technology for the hospitality industry,” said Amy Read, VP of Innovation at Sabre Hospitality. “With SynXis Concierge.AI, we are not only revolutionizing customer service but also unlocking new opportunities for driving operational efficiency and personalizing the guest experience. We have the data and connectivity to maximize Generative AI’s potential, and we are fully committed to continuous innovation, helping our customers achieve their fullest potential with this transforming technology.” 

About Sabre Corporation
Sabre Corporation is a leading software and technology company that takes on the biggest opportunities and solves the most complex challenges in travel. The company connects travel suppliers and buyers around the globe through innovative products and next-generation technology solutions. Sabre harnesses speed, scale, and insights to build tomorrow’s technology today – empowering airlines, hoteliers, agencies, and other partners to retail, distribute, and fulfill travel worldwide. Headquartered in Southlake, Texas, USA, Sabre serves customers in more than 160 countries around the world. For more information, visit www.sabre.com. 

SABR-F

Media Contacts 

Kristin Hays
Kristin.hays@sabre.com

Heidi Castle
heidi.castle@sabre.com

Investor Contact
Brian Roberts
Brian.roberts@sabre.com
sabre.investorrelations@sabre.com

SOURCE Sabre Corporation
Source Link: https://www.prnewswire.com/news-releases/sabre-hospitality-launches-synxis-conciergeai-revolutionizing-customer-service-with-generative-ai-302175562.html

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The proliferation of AI is rippling through organizations worldwide, and research shows that strategic use of AI supports organizational success. Change practitioners in particular see the benefit in using AI to drive transformation. A recent Prosci survey found that 65% of change practitioners agree that they will be more successful in their role using AI and 73% of organizations will be more successful overall if they use AI.

“At Prosci, over the last 25+ years we’ve developed the largest body of knowledge and proprietary research on the discipline of change management available anywhere in the world,” said Scott McAllister, Chief Executive Officer at Prosci. “With the introduction of generative AI, we now have the ability to leverage our vast research and content base to equip leaders with an always-on expert AI assistant that helps to accelerate change outcomes.”

Kaiya is built to act as an expert change management assistant and thinking partner, providing real-time, plain-language access to insights and solutions for any change initiative. Trained on Prosci’s complete library of more than 25 years of research, methodology, expertise, and change leadership, Kaiya draws on the largest body of industry knowledge to provide truly expert guidance in change management. As the only purpose-built change management AI tapping into Prosci’s IP, users of Kaiya can unlock the power of research-based change methodology and expertise.

“Kaiya is the culmination of cutting-edge technology and Prosci’s comprehensive knowledge base developed over more than two decades,” said Tim Creasey, Chief Innovation Officer at Prosci. “Together, those elements create an unparalleled resource to drive efficiency and change success at scale. No matter the question, Kaiya has the right answers, at the right time.”

The tool has been built to be easy-to-use and versatile, with an intuitive interface that feels like you’re talking to an expert. Users enter their questions or requests and in return, Kaiya can build guided change blueprints, draft key change messages, customize communications for different audiences, develop resistance management tactics, and more. With this level of custom support, Beta users of the tool have reported change planning time being cut by at least 50%, freeing up change practitioners and leaders to focus on the people side of change.

Since January 2024, Kaiya has been in testing with early users, who share that the tool has revolutionized the way they work and a tool they can’t imagine working without. With Kaiya by their side, two-hour working sessions turn into painless ten-minute tasks. Now, that capability will be available to all enterprise clients with the launch of Kaiya.

Visit www.prosci.com/kaiya-ai-tool to discover the only generative AI change management assistant that taps into Prosci’s entire IP.

Members of the Prosci team can be available for interviews on a variety of topics related to AI in change management, Kaiya, and the future of change management. Please reach out with interview requests or for more information.

About Prosci: Since our founding in 1994, Prosci has been laser-focused on change. By combining our deep understanding of people with a proven methodology rooted in the creation of our ADKAR^® model, we’ve helped Fortune 100 companies thrive.

We are passionate, research-based, and results-focused. Whether you’re within government, a growing enterprise or a multinational with offices around the world, we can help you make the most of change. From training to enterprise level counsel, our purpose is to create a world where change is done right.

SOURCE Prosci
Source Link: https://www.prnewswire.com/news-releases/prosci-launches-new-change-management-generative-ai-tool-302175628.html

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Rose Luckin, professor at University College London and a world-renowned expert in the use of AI in education, led the discussion with Lord David Puttnam, Chair of Atticus Education and Chair of Nord Anglia’s Education Advisory Board, alongside Timo Hannay, founder of data insights company SchoolDash.

The podcast discusses preparing society for the next advancements in AI through experimentation and education, so people “can live fruitfully and safely in an AI rich world,” according to Professor Luckin.

Highlights from the episode:

• On the need to continue advancing digital literacy, Professor Luckin said: “Teachers need to experiment and feel that it’s okay to try out these tools—even if they might not get it right the first time—so they have that space to learn together.”
• Lord Puttnam commented on how important it is to “create an environment of trust within which AI can operate.” Adding that failing to do so could see AI turn into a disruptive technology in the same way that aspects of social media have managed to.
• Timo Hannay said: “How we end up in a good place rather than a bad place with AI is by having healthy scepticism around it. It’s here—I don’t think we could uninvent it even if we wanted to, and I think it can genuinely be a massive force for good, not least in education.”
• Professor Luckin remarked: “We know AI has the potential to revolutionise education, making it more personalised and accessible. With careful consideration, it can be thoughtfully integrated into educational practices to benefit both students and educators.”
• Highlighting the learning opportunity across Nord Anglia Education’s global network of schools—which allows for AI tools’ impact to be seen on a large scale—Lord Puttnam said: “The great thing we can do at Nord Anglia is prove what can work”, which he hopes will influence the scale of AI’s adoption and its overall benefit to education.

The full ‘AI in Education‘ series is sponsored by Nord Anglia Education:

• Episode 1: Preparing Young People for their Future with AI
• Episode 2: AI, Metacognition, and Neuroscience
• Episode 3: AI from a Global Perspective
• Episode 4: AI as a Tool of Equity of Learning
• Episode 5: Can We Trust in AI for Education? 

Learn more about Nord Anglia’s perspectives on AI in education here.

Media enquiries:
David Bates
Communications Manager
+44 (0) 7787 135223
David.bates@nordanglia.com

About Nord Anglia Education: 

As a leading international schools organisation, we’re shaping a generation of creative and resilient global citizens who graduate from our schools with everything they need for success, whatever they choose to be or do in life.  

Our strong academic foundations combine world-class teaching and curricula with cutting-edge technology and facilities, creating learning experiences like no other. Inside and outside of the classroom, we inspire our students to achieve more than they ever thought possible.  
  
No two children learn the same way, which is why our schools around the world personalise learning to what works best for every student. Inspired by our high-quality teachers, our students achieve outstanding academic results and go on to study at the world’s top universities.  

To learn more or apply for a place for your child, go to nordangliaeducation.com.  

About The EdTech Podcast: 

The Edtech Podcast improves the dialogue between ‘ed’ and ‘tech’ through storytelling for better innovation and impact and was founded and developed by Sophie Bailey in 2016. 

Since its launch, The Edtech Podcast has quickly developed into the world’s leading podcast on EdTech, downloaded 5000 – 8000 times each month from 145 countries in total, and guiding an audience consisting of global education leaders, startups, learning and development specialists, blue-chips, investors, government, and media.  

Logo – https://mma.prnewswire.com/media/1503193/Nord_Anglia_Education_Logo.jpg

SOURCE Nord Anglia Education
Source Link: https://www.prnewswire.com/news-releases/experts-discuss-future-of-ai-in-education-on-the-edtech-podcast-sponsored-by-nord-anglia-education-302175723.html

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M31’s LPDDR5/5X/5T memory IP offers exceptional data transfer rates, ensuring optimal performance for HPC applications, including data centers, AI workloads, and advanced scientific computing. At the same time, the LPDDR5 design emphasizes power efficiency, reducing energy consumption by up to 30% compared to previous generations, making it suitable for large-scale computing environments where energy efficiency is critical. Data rates of up to 9600 Mbps facilitate faster processing speeds and more efficient data handling, which are essential for real-time analysis and intensive computing tasks. Utilizing advanced error correction technology ensures higher data integrity and reliability, which is crucial for maintaining accuracy in complex computing processes. The LPDDR memory module is designed to occupy minimal space, providing flexibility in design and integration, making it particularly suitable for compact and high-density computing environments.

Additionally, M31’s LPDDR memory IP solutions are specifically tailored for data center applications, enhancing processing capabilities and reducing operational costs, thereby improving energy efficiency. In the field of AI, they accelerate model training and inference speeds, which are critical for AI and machine learning tasks. Meanwhile, LPDDR memory IP also shows strong demand in the edge computing market, where its high performance and low power consumption features help manufacturers build smaller, lighter, and more powerful edge computing devices. In addition to LPDDR, M31 is actively researching and developing other advanced memory technologies such as Graphics Double Data Rate (GDDR) memory. GDDR memory is optimized for graphics applications, providing extremely high data transfer rates and excellent performance, making it suitable for gaming, virtual reality, and professional graphics workstations. Utilizing M31’s silicon-proven memory IP helps to meet the increasing high-performance computing demands and satisfy the AI application market, accelerating customers’ product development processes. As the pace of AI evolution accelerates, the role of IP in SoC chip design becomes increasingly important. As a professional IP supplier, M31 is committed to innovation and excellence, keeping pace with the developments in the semiconductor industry and continually driving technological advancements.

SOURCE M31 Technology Corporation
Source Link: https://www.prnewswire.com/news-releases/m31-announces-the-launch-of-advanced-lpddr-memory-ip-to-support-hpc-applications-302176735.html

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WPP Open for B2B will help marketers solve complex B2B marketing challenges, accurately identify and engage buying groups, and improve clients’ return on investment. Buying groups are made up of multiple stakeholders with different priorities who influence key purchasing decisions both inside and outside of organizations, which can make it difficult to deliver a consistent message over a long sales period. Traditionally, understanding how to adjust that message across the right channels to guide buying groups to purchase is challenging and often leads to inefficient marketing spend. 

WPP Open for B2B is powered by watsonx – an AI and data platform designed to accelerate the impact of AI across businesses – and will bring together market-leading, proprietary capabilities from both organizations. WPP and IBM will strategically collaborate with LinkedIn to help brands better understand buying groups so they can market more effectively and reach target buyers. 

Alan Webber, Program Vice President – Digital Platform Ecosystems at analyst firm IDC believes “this product and partnership have the potential to be an exponential force multiplier for the Fortune 1000.”        

Stephan Pretorius, Chief Technology Officer at WPP, said: “Our clients want to get in front of the right people, at the right time, on the right channels, with the right message. However, most solutions in the market today are designed for consumer marketing, targeted at sole decision-makers at a single point of purchase.  WPP Open for B2B, and our collaboration with IBM and LinkedIn, will help solve some incredibly complex challenges in the B2B marketing space, using the best of WPP and IBM technology and expertise.”

Jonathan Adashek, Senior Vice President of Marketing and Communications at IBM, said: “B2B marketers have been focused on creating truly personalized, relevant and consistent experiences for buying groups at scale for years. Our collaboration with WPP and LinkedIn provides real-time, actionable insights that are based on trusted data. We are excited to create and use these new, powerful and trusted AI solutions to deliver a force multiplier for B2B marketing.”

Penry Price, Vice President at LinkedIn, said: “With success in B2B requiring customers to reach between 6 to 10 stakeholders, building relationships and ‘collective confidence‘ among the entire buyer group is key. We are looking forward to working with WPP and IBM to determine how our unique knowledge of buyer groups can help inform WPP Open for B2B and help clients deliver more effective advertising campaigns.”

WPP and IBM have used watsonx to build capabilities for the platform including:

• AI-powered Buying Group Brain – a WPP AI model that can more accurately identify target buying groups in a B2B client account, built with IBM watsonx.ai and trained on trustworthy data from the client and third parties through IBM watsonx.data. It can also inform how marketers deliver personalized and consistent experiences across channels and across the duration of a long-term influencer campaign. 
• Orchestration and optimization – using insights from WPP’s Buying Group Brain AI model to optimize engagement and opportunity progression for buying groups. That includes providing recommendations for channel mix and content to ensure buying groups experience a cohesive, consistent and relevant message. It can also help marketers track marketing activity effectiveness with a buying group and adjust messaging or influencer targeting on demand. 
• Chief Marketing Officer command center – an AI assistant that serves as a command center for CMOs, bringing forward data and insights and connecting underlying systems so senior marketers can plan and model scenarios, predict results, make more data-driven decisions and execute recommended actions.

These capabilities are supported by the IBM watsonx.governance toolkit to help clients govern and transparently track the performance of the AI models. 

Accelerating IBM’s AI-powered marketing and communications transformation

IBM has already begun deploying the new platform within its marketing and communications organization. WPP’s creative and technology expertise alongside the joint innovation on the watsonx platform is expected to support IBM’s objective to accelerate growth through AI-driven marketing. 

An open approach with embedded governance

WPP Open for B2B powered by watsonx is designed for enterprise scale, security, governance and easy integration into clients’ existing systems, combining the open capabilities of WPP Open, IBM watsonx and Red Hat OpenShift¹. 

IBM Consulting is the primary change management consulting partner for the solution. That  includes helping clients customize and operate the platform, integrate it into their marketing workflows and build employees’ skills and adoption of the platform, using the collaborative engagement model IBM Garage. IBM consultants can help clients select and deploy the right AI models for the platform based on their requirements, including enterprise grade models like IBM Granite, open source or other third-party models. 

About WPP
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit www.wpp.com.

WPP Open for B2B is part of WPP Open, WPP’s intelligent marketing operating system powered by AI. Applying WPP’s decades of experience serving enterprise clients, WPP Open is designed to integrate with any client, partner or technology vendor to create optimised and automated marketing capabilities. 

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs, and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity, and service. 

¹ Red Hat® and OpenShift® are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the United States and other countries.

Media Contacts

WPP
Niken Wresniwiro, SVP Global Communications
niken.wresniwiro@wpp.com

IBM
Michelle Mattelson, IBM External Relations
morrison@us.ibm.com

SOURCE IBM
Source Link: https://www.prnewswire.com/news-releases/wpp-and-ibm-team-up-to-revolutionize-business-to-business-marketing-with-generative-ai-302176223.html

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The Ascendion Science Fair provides a platform for students to showcase their groundbreaking work in AI, software development, modeling, coding, and more. Ascendion, a driving force in leveraging Generative AI for digital engineering, is part of the judging panel for the AI category, evaluating projects that push the boundaries of artificial intelligence.

“Generative AI is not just another fad – it’s a transformative force that will disrupt every aspect of business, driving a huge wave of investment,” said Paul Roehrig, Chief Strategy and Marketing Officer at Ascendion. “These students are the future problem-solvers, inventors, and visionaries who will make Generative AI a reality. We’re honored to support their innovation journey and explore the rich talent pipeline at Tec de Monterrey.”

This student-led event allows Ascendion to further engage the immense technology talent pipeline while continuing to elevate the conversation around innovation in Mexico. The event also featured a discussion panel, with leading local business leaders including Ascendion representatives. Students and faculty had the opportunity to interact with organizations, learn about advanced technologies shaping the future, and explore potential career opportunities by sharing their resumes.

The science fair concluded with an award ceremony and closing remarks from Elena Mitilene Rodríguez Gutiérrez, Director of Competition and Competitiveness for the state of Nuevo Le ón.”We’re grateful to have Ascendion as the premier sponsor of our first AI and innovation science fair,” said Ricardo Swain, Dean of the School of Engineering & Sciences Monterrey Region at Tecnológico de Monterrey. “Their support and expertise in cutting-edge technologies like Generative AI provide our students with an invaluable opportunity to learn, contribute, and connect with industry leaders, elevating the conversation about technology and innovation in Mexico.”

About Ascendion 
 Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30 offices across the U.S., India, and Mexico. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com

About Tecnológico de Monterrey 
Tecnológico de Monterrey (http://www.tec.mx) is a private nonprofit multi-campus university system founded in 1943, and distinguished globally for its academic excellence, innovation in education, entrepreneurship, and global vision, along with its deep engagement with industry and employers, and its high executional capability. With a presence across 28 cities in Mexico, the institution has more than 67,000 enrolled undergraduate and graduate students, almost 7,000 faculty members, and more than 26,000 high school students served by 2,500 professors. The institution has been accredited by the Commission on Colleges of the Southern Association of Colleges and Schools (SACSCOC) since 1950. According to the QS World University Rankings (2023), Tecnológico de Monterrey ranks 184th globally and among the top 30 private universities worldwide. The QS Graduate Employability Rankings (2022) places the institution 1st in Latin America and 26th globally for Employer Reputation. The Times Higher Education Latin America University Rankings (2023) ranks the institution 1st in Mexico and 4th in Latin America. Tecnológico de Monterrey is the only university outside the USA included in The Princeton Review & Entrepreneur magazine ranking of Top Schools for Entrepreneurship Studies (2023), placing 4th for undergraduate entrepreneurship programs. Tecnológico de Monterrey belongs to several prestigious global networks including, the Association of Pacific Rim Universities (APRU), Universitas 21 (U21), and The Worldwide Universities Network (WUN). 

SOURCE Ascendion
Source Link: https://www.prnewswire.com/news-releases/ascendion-sponsors-ai–innovation-science-fair-at-tecnologico-de-monterrey-in-mexico-302176070.html

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For Domino, being named a Visionary affirms the company’s strong position in a rapidly evolving market, its continued innovation, business and ecosystem growth, and strong market traction with enterprises. Customers use Domino to solve the most complex life sciences, financial services, public sector, and insurance challenges.

“To us, the Gartner recognition of Domino as a Visionary validates our commitment to helping the world’s most advanced enterprises accelerate the impact of AI.” said Nick Elprin, CEO of Domino Data Lab. “Amidst a new era of AI techniques and a dynamic landscape of security and regulatory requirements, Domino remains the definitive platform for enterprises where AI plays a mission-critical role.”

Domino offers unmatched support for enterprises that require robust AI security and governance. Its unique platform flexibility also makes Domino the platform of choice for enterprise-wide AI development and deployment across various environments using a wide array of tools. Domino’s enhanced Generative AI and Responsible AI capabilities expand its appeal and empower more enterprises to adopt transformative AI solutions.

Domino’s recent platform enhancements include leading-edge innovations such as:

• AI Hub — a built-in repository of curated AI projects that help teams jumpstart AI development for common use cases out-of-the-box, including industry-specific use cases.
• AI Gateway — for streamlined access to external LLM services while ensuring governance and secure connections.
• Model Sentry — for end-to-end data and model governance to ensure responsible and trusted AI practices are implemented by default.
• Domino Nexus — industry-leading hybrid and multi-cloud support to run and manage AI workloads across any environment – cloud, on-premises, or hybrid – in a single pane of glass for optimal performance, meeting compliance, and reduced costs.
• Domino Cloud for Life Sciences — A fully managed and audit-ready AI and Statistical Compute Environment (SCE) platform supporting both GxP and non-GxP applications.
• Robust compliance and security accreditations — Domino achieved compliance with both The Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR), and is also ISO 27001:2013 & SOC 2 Type 2 certified, plus it supports GxP compliance.

Gartner clients can access the report here:
https://www.gartner.com/interactive/mq/5509595?ref=solrResearch&refval=416864281.

Additional Resources     

• Learn more about the latest innovations in the Domino Enterprise AI Platform.
• Discover methods to overcome the challenges and harness the power of Generative AI.
• Learn how to master digital transformation with Flexible Statistical Compute.
• Follow Domino on LinkedIn and X/Twitter.

Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved

About Domino Data Lab
Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI platform unifies the flexibility AI teams want with the visibility and control the enterprise requires. Domino enables a repeatable and agile ML lifecycle for faster, responsible AI impact with lower costs. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors. Learn more at www.domino.ai.

¹ Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, 17 June 2024.

² Gartner, Research Methodologies, “Magic Quadrant”, https://www.gartner.com/en/research/methodologies/magic-quadrants-research

SOURCE Domino Data Lab
Source Link: https://www.prnewswire.com/news-releases/domino-data-lab-named-a-visionary-in-the-2024-gartner-magic-quadrant-for-data-science-and-machine-learning-platforms-302175883.html

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“We built our restaurant application and distribution commerce platform to support our distribution business,” said Kim Spalding, CEO of Cheetah. “We saw firsthand how our platform upleveled our own customer experience and drove unprecedented NPS scores – 58 – in an industry that often averages NPS scores around 10. Over the last decade, the front of house of this industry has been digitized, while the back of house has remained unchanged. The food supply space, which is the largest portion of restaurant back of house, is a $400B opportunity. This is a larger opportunity than restaurant front of house which has produced more than $70B in market cap for disruptive start-ups. We’re going to seize that opportunity.”

Spalding, who had an illustrious career at Google, Starbucks, & McKinsey, joined the company in 2023 and with the support of the board, pivoted to commercializing their technology. She recently closed on an additional $14 million in funding and focused on vertical SaaS for the restaurant supply. “I’m excited to be scaling our AI-enabled distributor platform,” said Spalding. “Our decision to sell our physical distribution business to Paul Jensen was an easy one, as he’s a strong operator and trusted partner. We are now focused on scaling our platform into this exciting market and building expansions that will digitize additional workflows for distributors, restaurants and manufacturers.”

Paul Jensen, CEO of Palo Alto Foods, considered a pioneer in the adoption and celebration of organic products, said, “This is the best of both worlds. I get to continue to do what I have loved my entire career: helping independent restaurants succeed, but now with an even greater platform. With their new focus, Cheetah’s technology won’t just be an irreplaceable asset for my business, but will be an absolute game-changer for the entire foodservice industry.”

Palo Alto Foods is a business Jensen’s father started more than 40 years ago and began as a humble seller of local eggs. Jensen added, “As kids, my brother Eric and I worked side by side with him before eventually taking over the company. I can remember the landscape of Silicon Valley in a very different way. We’ve been fortunate to successfully grow with our customers, such as Google, Pixar, and Stanford Hospital, over the years. We are ecstatic about taking our business to the next level with this deal.”

The last shipment out of the Cheetah warehouse will be its software.

Distributors interested in more information please contact Cheetah Technologies’ Co-Founder Christopher Elliott, chris@gocheetah.com 

About Cheetah
Cheetah launched the first restaurant supply app, providing the simplest, most affordable way for restaurants to get their daily supplies. Cheetah’s technology was developed to solve the complex issues facing foodservice distribution including supply chain management, logistics optimization, data analytics, and purchasing algorithms which enhance efficiency and profitability for every partner in the channel. Proprietary solutions connect multiple supply-side systems with in-house sales software bringing a lean, efficient, and reliable approach to the foodservice ecosystem. This software reduces the time & labor needed to place & process orders while minimizing food waste.

Cheetah is founded and run by technology industry veterans, engineers, data scientists, supply chain and logistics experts, and innovators who have come together to help restaurateurs, distributors, and manufacturers thrive. 

For more information on Cheetah, please contact press@gocheetah.com

SOURCE Cheetah Technologies
Source Link: https://www.prnewswire.com/news-releases/cheetah-technologies-leans-into-scaling-their-ai-enabled-commerce-platform-nationwide-by-selling-physical-distribution-business-to-palo-alto-foods-302176208.html

The post Cheetah Technologies Leans Into Scaling Their AI-Enabled Commerce Platform Nationwide By Selling Physical Distribution Business to Palo Alto Foods first appeared on AITechTrend.

1- Artificial Intelligence (AI)

The AI market, valued at USD 196.6 billion in 2023, is poised to witness significant growth at a CAGR of 36.6% from 2024 to 2030, driven by advances in machine learning, natural language processing, and computer vision.

• Generative AI: Generative AI is advancing to produce content, transforming applications into more interactive and intelligent platforms. This evolution, exemplified by tools like Gemini, Claude AI, and ChatGPT, shifts AI from passive data retrieval to active conversational advisors. This enhancement not only improves data accessibility but also significantly boosts user engagement, marking a paradigm shift in how AI interacts with and assists users in various domains.
• AI Gadgets: AI gadgets are increasingly incorporating natural language processing, enhancing user interactions beyond traditional touch interfaces. Devices such as the Rabbit R1 showcase this trend by offering seamless and intuitive controls. This integration improves user experience by enabling more efficient and user-friendly interactions with technology, setting the stage for broader adoption of AI-driven gadgets in daily life.

2- Edge Computing

The edge computing market is expected to increase from USD 16.45 billion in 2023 to USD 155.90 billion by 2030, at a CAGR of 37.9%. This growth is driven by the need for faster data processing, reduced latency, and the rise of IoT devices, particularly in manufacturing and telecommunications.

3- Quantum Computing

Quantum computing is anticipated to create up to USD 1.3 trillion in value by 2035. Its growth is fueled by the ability to solve complex problems in automotive, chemicals, financial services, and life sciences, which traditional computers find challenging.

4- Blockchain Technology

The blockchain technology market is projected to reach USD 1.43 trillion by 2030, propelled by increased venture capital investments and applications in finance, supply chain, and healthcare. Blockchain enhances transparency, security, and efficiency in transactions and data management.

5- Metaverse

The metaverse market is projected to exceed USD 936 billion by 2030, driven by the integration of AR, VR, and blockchain. It offers immersive virtual experiences for gaming, social interactions, and virtual commerce, attracting significant investments from major tech companies.

6- 5G Technology

The global 5G services market is expected to grow at a CAGR of 59.4% from 2023 to 2030. Key drivers include the deployment of 5G networks enhancing mobile connectivity, supporting IoT applications, and enabling smart cities and autonomous vehicles.

7- Cybersecurity

The cybersecurity market is projected to reach over USD 500 billion by 2030. Growth drivers include the increasing prevalence of cyber threats, data breaches, and the adoption of cloud services, prompting investments in advanced security solutions like zero-trust architecture and AI-driven threat detection.

8- Sustainable Tech and Green Computing

Sustainable technology focuses on reducing environmental impact through energy-efficient solutions and renewable energy sources. Growth is driven by increased awareness of climate change, regulatory pressures, and the push for corporate social responsibility.

9- Robotics and Automation

Robotics and automation are transforming industries by improving efficiency and reducing costs. Growth is driven by advancements in AI, machine vision, and robotics hardware, enabling applications from manufacturing to healthcare and service robots.

10- Digital Twins

Digital twins, virtual replicas of physical systems, are enhancing operations and maintenance in industries like manufacturing, healthcare, and urban planning. Growth is driven by IoT integration, advanced simulation tools, and the need for predictive maintenance and optimization.

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• 5 million+ companies: Detailed financial performance, deals and latest news are all an integral part of Horizon. We have partnered with industry pioneers to provide accurate and latest competitive data.

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SOURCE Grand View Research, Inc.
Source Link: https://www.prnewswire.com/news-releases/top-10-technologies-and-trends–horizon-databook–powered-by-grand-view-research-inc-302176704.html

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The demand for AI is growing at an exponential rate. As a result, the data centres required to enable AI technology are generating substantial heat, particularly those containing AI servers with accelerators used for training large language models and inference workloads. This heat output is increasing the necessity for the use of liquid cooling to maintain optimal performance, sustainability, and reliability.

Schneider Electric’s latest white paper guides data centre operators and IT managers through the complexities of liquid cooling, offering clear answers to critical questions about system design, implementation, and operation.

Understanding Liquid Cooling Architectures

Over the 12-pages authors Paul Lin, Robert Bunger, and Victor Avelar identify two main categories of liquid cooling for AI servers: direct-to-chip and immersion cooling. They describe the components and functions of a coolant distribution unit (CDU), which are essential for managing temperature, flow, pressure, and heat exchange within the cooling system.

“AI workloads present unique cooling challenges that air cooling alone cannot address,” said Robert Bunger, Innovation Product Owner, CTO Office, Data Centre Segment, Schneider Electric. “Our white paper aims to demystify liquid cooling architectures, providing data centre operators with the knowledge to make informed decisions when planning liquid cooling deployments. Our goal is to equip data centre professionals with practical insights to optimise their cooling systems. By understanding the trade-offs and benefits of each architecture, operators can enhance their data centres’ performance and efficiency.”

The white paper outlines three key elements of liquid cooling architectures:

1. Heat Capture Within the Server: Utilising a liquid medium (e.g. dielectric oil, water) to absorb heat from IT components.
2. CDU Type: Selecting the appropriate CDU based on heat exchange methods (liquid-to-air, liquid-to-liquid) and form factors (rack-mounted, floor-mounted).
3. Heat Rejection Method: Determining how to effectively transfer heat to the outdoors, either through existing facility systems or dedicated setups.

Choosing the Right Architecture

The paper details six common liquid cooling architectures, combining different CDU types and heat rejection methods, and provides guidance on selecting the best option based on factors such as existing infrastructure, deployment size, speed, and energy efficiency.

With the increasing demand for AI processing power and the corresponding rise in thermal loads, liquid cooling is becoming a critical component of data centre design. The white paper also addresses industry trends such as the need for greater energy efficiency, compliance with environmental regulations, and the shift towards sustainable operations.

“As AI continues to drive the need for advanced cooling solutions, our white paper provides a valuable resource for navigating these changes,” added Bunger. “We are committed to helping our customers achieve their high-performance goals while improving sustainability and reliability.”

Providing the Industry with AI Data Centre Reference Designs

This white paper is particularly timely and relevant in light of Schneider Electric’s recent collaboration with NVIDIA to optimise data centre infrastructure for AI applications.

This partnership introduced the first publicly available AI data centre reference designs, leveraging NVIDIA’s advanced AI technologies and Schneider Electric’s expertise in data centre infrastructure.

The reference designs set new standards for AI deployment and operation, providing data centre operators with innovative solutions to manage high-density AI workloads efficiently.

For more information and to download the white paper, visit the Schneider Electric website.

About Schneider Electric

Schneider’s purpose is to create Impact by empowering all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On. Our mission is to be the trusted partner in Sustainability and Efficiency.

We are a global industrial technology leader bringing world-leading expertise in electrification, automation and digitization to smart industries, resilient infrastructure, future-proof data centers, intelligent buildings, and intuitive homes. Anchored by our deep domain expertise, we provide integrated end-to-end lifecycle AI enabled Industrial IoT solutions with connected products, automation, software and services, delivering digital twins to enable profitable growth for our customers.

We are a people company with an ecosystem of 150,000 colleagues and more than a million partners operating in over 100 countries to ensure proximity to our customers and stakeholders. We embrace diversity and inclusion in everything we do, guided by our meaningful purpose of a sustainable future for all.

www.se.com 

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SOURCE Schneider Electric
Source Link: https://www.prnewswire.com/news-releases/schneider-electric-publishes-new-white-paper-on-liquid-cooling-for-ai-data-centres-302175869.html

The post Schneider Electric Publishes New White Paper on Liquid Cooling for AI Data Centres first appeared on AITechTrend.