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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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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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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Focused on streamlining benefits administration and enhancing care outcomes, Healthee’s comprehensive platform begins with its advanced plan comparison tool, ensuring a seamless and informed open enrollment experience. Unlike most platforms that focus solely on either benefits navigation or care navigation, Healthee covers both, introducing an unprecedented level of comprehensiveness. Beyond open enrollment, Healthee continues to support employers and employees with conversational benefits questions experience using its AI-powered health assistant, Zoe. Users can easily find care through provider search or free telehealth, check their bills, and maximize its features for wellness and preventive care suggestions. This comprehensive support reduces overhead and improves overall satisfaction by enhancing employee well-being and streamlining administrative processes. With Healthee’s platform, expect instant, personalized responses to all coverage, treatment, and benefits queries, ushering in a new era of healthcare decision-making.

Key Features and Benefits:

The new version now includes a more advanced recommendation algorithm that takes into account a broader range of factors during the robust intake process, such as employee health priorities, mental health needs, and anticipated healthcare requirements. This ensures employees receive tailored plan suggestions that best fit their unique health profiles.

Additionally, Healthee introduces a groundbreaking feature: “HSA Explained.” Employees will now have the opportunity to familiarize themselves with Health Savings Accounts (HSAs), understand what an HSA is, how it works, and how to maximize its benefits, all seamlessly integrated into their user experience.

With a revamped design and superior user interface, the plan comparison tool offers a visually appealing and intuitive experience. Users can now view and compare plans in a format that suits their preferences, making the decision-making process simpler and more enjoyable. This enhanced functionality not only simplifies the process but also empowers users to make informed decisions, minimizing risk and dispelling the usual uncertainty associated with plan selection.

Yael Pelleg, Head of Product at Healthee, explains, “After gathering valuable feedback and with our commitment to consistently developing our offerings, we are excited to release this new iteration of our Plan Comparison Tool. Our enhanced tool provides all necessary information in a clear, visually appealing way, making benefits easy to understand. By leveraging advanced AI recommendation systems, the tool ensures personalized plan suggestions that match employee needs.”

Pelleg continued discussing the enhancements, saying, “We are determined to empower employees to make confident decisions from anywhere, reducing HR’s time and effort during open enrollment, resulting in happier employees and cost-saving plan selections.”

After implementing Healthee’s plan comparison solution, Elle Meza, Total Rewards Leader and People Technology Advisor said, “Healthee reduces the need for my benefits team to answer basic questions and supports my employees with understanding their benefits coverage in a way that makes sense to them and their families. We expect higher engagement after some time on Healthee!”

About Healthee
Healthee, a pioneering health tech company, is dedicated to reshaping the way employees interact with their healthcare. Harnessing the dynamic fusion of innovation and cutting-edge AI technology, Healthee strives to empower individuals in making informed decisions about their well-being, ultimately enhancing care outcomes and reducing overhead for all parties. For additional details, please visit Healthee.co or connect with us on Twitter, Facebook, LinkedIn, Instagram, and Youtube.

SOURCE Healthee Inc
Source Link: https://www.prnewswire.com/news-releases/healthee-unveils-ai-driven-enhanced-plan-comparison-tool-setting-a-new-standard-in-innovative-technology-for-streamlining-open-enrollment-302174653.html

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Rising costs are front of mind for most UK hospitality operators in 2024, with April’s increase in the National Living Wage and business rates a key contributor to stretched margins and over-burdened teams. Other ongoing challenges operators are facing include labour shortages, food inflation, and price-sensitive consumers, all of which require innovative strategies to combat them.

Available to customers from today, Fourth’s ‘Level Up’ product release introduces capabilities enabling hospitality operators to increase profitability, efficiency and employee engagement in the areas impacted by the current challenges they face.

Key among the new features is ‘AI for Inventory’, bringing two AI capabilities into Fourth’s Purchase to Pay & Inventory product. AI Forecasting leverages Fourth’s proprietary AI to predict item-level demand, increasing the precision and efficiency of purchasing, inventory management, and preparation. Additionally, AI Invoice Processing reduces the administrative burden of manually processing invoices, saving time and reducing errors.

Fourth’s Managing Director, EMEA, Sebastien Sepierre, commented: “Since its launch in 2022, our AI Forecasting solution has been delivering great results for our workforce scheduling customers. It’s used by many of the UK’s largest restaurant groups including PizzaExpress, and growing chains like Thai Leisure Group, who reduced overscheduling by 22% while boosting sales by nearly 16%. Our ‘Level Up’ product release brings the huge potential of this technology into our inventory solutions.”

Other significant features in today’s release include:

• Onboarding App: delivers a flexible and initiative onboarding experience, helping new hires get off to a great start.
• Shift Pooling: enables operators to optimise their workforce by offering staff the flexibility to take on open shifts across multiple locations.
• Precision Payroll: includes updates to help operators comply with the new Allocation of Tips Act which takes effect in October.
• Employee Engagement: offers new ways for employees to update their personal information, eSign employment documents and ditch WhatsApp groups with a dedicated messaging feature.

Sebastien Sepierre said, “For 25 years, Fourth has built a strong reputation for continually delivering the technology innovations our customers need to succeed; We are acutely aware of the challenges facing operators at this time, and we’re proud to proactively offer our customers new ways to make a measurable impact on profits, efficiency and employee engagement.”

For a full list of the product features released today, visit Fourth’s website.

About Fourth

Fourth helps restaurants, retailers, and hotels conquer the day with data-driven workforce and inventory technology. Fourth serves more than 15,000 customers across 100,000 locations globally.

Contacts

Barry Lane
Barry.lane@fourth.com
02075343700
Source Link: https://www.businesswire.com/news/home/20240618771392/en/Fourth-introduces-a-range-of-new-features-to-help-hospitality-operators-level-up-in-a-challenging-economic-climate

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CANNES, France, June 17, 2024 /PRNewswire/ — S4Capital’s operating brand Media.Monks, a digital-first advertising and marketing services company, partners with Adobe to transform end-to-end content supply chains and drive efficiency across Media.Monks three practices: content, data&digital media and technology services. At the core of this collaboration is the launch of the Brand Model Practice, which will leverage Adobe GenStudio, a generative AI-first offering that lets marketing teams quickly plan, create, manage, activate, and measure on-brand content, and Media.Monks’ AI-first solution Monks.Flow to create generative AI brand models. These models are designed to help marketers reduce costs, advance creativity, build business intelligence, and maximize the impact of their marketing to drive growth.

Named Adweek’s first-ever AI Agency of the Year, Media.Monks brings deep expertise in innovation and a range of scaled creative capabilities to deliver holistic solutions across the full customer journey. The new Brand Model Practice will integrate Adobe GenStudio into Monks.Flow, accelerating digital transformation for enterprise clients in the era of AI with optimized content supply chain solutions that cut costs and deliver at speed and scale.

Build Intelligent Content Engines Powered by a Bespoke Brand Model
88% of marketing professionals rely on AI to personalize the customer journey across channels, and 48% use the technology to build content at scale. Media.Monks’ Brand Model Practice aids in both efforts through the development of artificial intelligence systems that are tailored to specific brand goals and needs. These models are trained on unique brand data, such as marketing materials, customer interactions, product information, and brand guidelines, to generate brand-specific content, insights and experiences.

Brands have always invested in crafting meticulous guidelines and design languages to ensure their identity is presented consistently and authentically everywhere they show up. The Brand Model Practice is the next evolution of this exercise: by encoding a brand’s DNA into an AI-powered content supply chain, the model can intelligently generate and adapt creative assets, messaging, and even entire customer experiences—all while staying true to the brand’s core perspective and values.

By drawing on Media.Monks core practices of content, data&digital media and technology services, the Brand Model Practice represents a continuation of the company’s long-standing cross-functional expertise, supercharged with Adobe GenStudio. The practice will be led by talent from across Media.Monks’ practices, combining their skill sets to drive comprehensive AI solutions.

Fast-Track GenAI Transformation
The seamless integration of Adobe GenStudio into Media.Monks’ AI-first professional managed service Monks.Flow will allow brands to fast-track AI transformation, enabling them to optimize their entire content supply chain with generative AI. The combined content supply chain expertly manages data assets, image generation, and efficient processes, all within a plug-and-play model that can easily integrate into any brand’s existing tech stack. By simplifying the transition, Media.Monks allows brands to quickly harness the full potential of AI-driven solutions.

“We’re excited to leverage Adobe GenStudio to better serve marketers who need bespoke brand models at speed,” said Bruno Lambertini and Wesley ter Haar, Co-CEOs, Content, Chris Martin CEO Data&Digital Media and Brady Brim-DeForest CEO Technology Services. “Seamless integrations make room for innovation, and by building an end-to-end content pipeline, brands are better equipped to streamline production, become more agile and ultimately enhance creative experiences. We’re setting new benchmarks for creativity and customization in the age of AI.”

“Brands are looking to drive profitable growth through delivering personalization at scale, but they need ways to scale the production of new and fresh content,” said Tony Sanders, senior director, Adobe. “Our collaboration with Media.Monks brings together best-in-class technology with implementation expertise, helping organizations navigate the complexities of creating an efficient content supply chain.”

Media.Monks has a longstanding relationship with Adobe as an Adobe Platinum Solution Partner, and has achieved the highest level of certifications for Adobe Experience Manager (AEM) and Adobe Campaign. With 290 accreditations and certifications, Media.Monks’ expertise spans comprehensive Adobe Experience Cloud solutions, including consulting, technology, training and support.

About Media.Monks
Media.Monks is the global, purely digital, unitary operating brand of S4Capital plc. Since 2021, Media.Monks has combined diverse solutions—media, data, social, platforms, studio, experience, brand and technology services—to serve as a consultative partner integrating systems and workflows that deliver unfettered content production, scaled experiences and data science fueled by AI and the industry’s very best talent and teams.

Media.Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has earned a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions’ Top 10 Creative Companies (2022-23), and earns continual inclusion in AdExchanger’s Programmatic Power Players (2020-23). It has also been named Adweek’s first AI Agency of the Year (2023). Business Intelligence has recognized Media.Monks in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning, and AI Product for its service Monks.Flow. Media.Monks has earned the title of Webby Production Company of the Year (2021-23), won a record number of FWAs, and a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

About S4Capital
S4Capital plc (SFOR.L) is the tech-led, new age/new era digital advertising, marketing and technology services company, established by Sir Martin Sorrell in May 2018.

Our strategy is to build a purely digital advertising and marketing services business for global, multinational, regional, and local clients, and millennial-driven influencer brands. This will be achieved by integrating leading businesses in three practices: Content, Data&digital Media and Technology Services, along with an emphasis on ‘faster, better, cheaper, more’ execution in an always-on consumer-led environment, with a unitary structure.

The S4Capital Board includes Rupert Faure Walker, Daniel Pinto, Sue Prevezer, Elizabeth Buchanan, Margaret Ma Connolly, Miles Young and Colin Day as Non-Executive Directors.

The Company now has approximately 7,600 people in 32 countries with approximately 80% of net revenue across the Americas, 15% across Europe, the Middle East and Africa and 5% across Asia-Pacific. The longer-term objective is a geographic split of 60%:20%:20%. Content currently accounts for approximately 60% of net revenue, Data&digital Media 25% and Technology Services 15%. The long-term objective for the practices is a split of 50%:25%:25%.

Sir Martin was CEO of WPP for 33 years, building it from a £1 million ‘shell’ company in 1985 into the world’s largest advertising and marketing services company, with a market capitalisation of over £16 billion on the day he left. Prior to that Sir Martin was Group Financial Director of Saatchi & Saatchi Company Plc for nine years.

Media Contact:
Sarah Murray
402-658-9341
sarah.murray@mediamonks.com

SOURCE Media.Monks
Source Link: https://www.prnewswire.com/news-releases/mediamonks-to-launch-brand-model-practice-powered-by-adobe-genstudio-302173993.html

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This collaboration between MGI and SeqOne encompasses three distinct initiatives:

Validating an end-to-end, automated, cost-effective solution for HRD signature with MGI DNBSEQ-G99

The collaboration between a Pathology Reference Lab in Spain, Agilent Technologies, MGI, and SeqOne aims to technically validate a routine workflow leveraging Agilent panels, Magnis lib prep automation, MGI DNBSEQ-G99, and SeqOne somaHRD, a clinically validated HRD signature solution, on 96 samples.

This end-to-end solution for pathology molecular labs will enable high-quality, efficient, and flexible HRD testing worldwide, including Genomic Instability score and BRCA testing.

Enabling and validating SeqOne tertiary analysis solution compatible with MGI Megabolt for Germline Panels, Whole Exome and Whole Genome

MegaBOLT bioinformatics analysis accelerator, self-developed and MPS-concentrated hardware accelerating system by MGI, is set to ensure seamless integration and compatibility with SeqOne’s AI-powered variants identification and analysis solution.

The collaboration aims to combine MegaBOLT and the SeqOne Platform to deliver a versatile, cost-effective, intuitive, and time-saving solution from sample to report, particularly attractive for high-throughput Human Genetics labs.

Validating SeqOne CE-IVD Platform for Germline and Somatic analysis for use with MGI sequencers in routine diagnostics

This technical validation project aims to evaluate the compatibility of the SeqOne Platform with MGI sequencing data. It will validate variant calling performances on a set of reference control samples in terms of QC, sensitivity and precision.

“We are thrilled to announce our collaboration with SeqOne. By combining MGI’s cutting-edge sequencing technology with SeqOne’s innovative genomic analysis Platform, we are poised to deliver real insights and solutions for personalized healthcare,” said Dr. Yong Hou, General Manager of MGI Europe and Africa. “This collaboration underscores our commitment to advancing genomic research and providing clinicians with the tools they need to offer tailored treatments to their patients.”

“This partnership with MGI strongly supports SeqOne’s mission to broaden access to sophisticated genomic analysis, aiming to improve healthcare outcomes,” said Martin Dubuc, CEO, SeqOne. “Molecular laboratories globally are exploring how MGI’s sequencing and bioinformatics technologies can advance next-generation sequencing (NGS) research and diagnostics. We are eager to integrate SeqOne’s CE-IVD Platform with MGI’s offerings, enhancing the quality, sensitivity, and precision of bioinformatic analyses.”

About MGI

MGI Tech Co., Ltd. (or its subsidiaries, together referred to MGI) is committed to building core tools and technologies that drive innovation in life science. Our focus lies in research & development, manufacturing, and sales of instruments, reagents, and related products in the field of life science and biotechnology. We provide real-time, multi-omics, and full spectrum of digital equipment and systems for precision medicine, agriculture, healthcare and various other industries. Founded in 2016, MGI has grown into a leader in life science, serving customers across six continents and have established research, manufacturing, training, and after-sales service facilities globally. MGI stands out as one of the few companies capable of independently developing and mass-producing clinical-grade gene sequencers with varying throughput capacities, ranging from Gb to Tb levels. With unparalleled expertise, cutting-edge products, and a commitment to global impact, MGI continues to shape the trajectory of life sciences into the future. To learn more, please visit https://en.mgi-tech.com/, LinkedIn, X, and YouTube.

About SeqOne

SeqOne is a fast-growing deep-tech company focused on turning genomic data into medically- actionable insights in oncology and rare and inherited diseases. Our vision is to make personalized healthcare a reality for every patient, everywhere. We are committed to democratizing access to advanced genomic insights, enabling labs of any size, in any location, to offer affordable personalized medicine solutions to patients at scale. We integrate cutting-edge AI and big data technologies to redefine genetic data analysis. Our CE-IVD Platform provides time saving, flexible, and cost-effective decision support, empowering decentralized laboratories worldwide to deliver precision diagnostics.The company has won numerous awards, including the iLab award and the ARC Cancer Foundation’s Hélène Stark prize. Investors include Elaia, IRDI Capital Investissement, Merieux Equity Partners, Omnes, and Software Club. To learn more, please visit www.seqone.com and Linkedin.

Logo – https://mma.prnewswire.com/media/2329841/MGI__Logo.jpg
Source Link: https://www.prnewswire.com/news-releases/mgi-tech-and-seqone-partner-to-advance-end-to-end-genomic-analysis-302173987.html

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“Partnerships succeed best when we lean into our unique skills and expertise and have a clear view into the problem we’re trying to solve”Post this

Legacy Operational Support Systems (OSS) with siloed processes and multivendor environments are slowing Telecom networks, delaying revenue and leading to low customer satisfaction. The Toolkit accelerates operational agility by automating and shortening the service lifecycle, making provisioning faster, enhancing operational visibility and improving network inventory accuracy.

The Toolkit comprises Prodapt’s proprietary network accelerators NeMA (Network Management Abstraction), NeSA (Network Service Assurance), and NeDR (Network Discovery & Reconciliation) to transform service orchestration, service assurance and network operations. Seamlessly integrated with TM Forum Open APIs, it enables efficient troubleshooting and diagnosis to resolve incidents faster and leverages AI to predict and guard against future disruptions. Compared to existing network accelerator solutions, the Toolkit delivers 40% faster deployment and integration cycles through Prodapt’s pre-built network connector library. This helps deliver the benefits of a transformed OSS stack to customers faster.

“Partnerships succeed best when we lean into our unique skills and expertise and have a clear view into the problem we’re trying to solve,” said Erica Volini, senior vice president of global partnerships at ServiceNow. “Prodapt’s TechCo Toolkit extends our reach well beyond where we can go alone and represents the legacy and goals of the Now Platform. I am thrilled to see the continued innovation we will achieve together to help organizations succeed in the era of digital business.”

Rajiv Papneja, CTO of Prodapt, said: “CSPs worldwide are under pressure to bring new Telco services to market quickly and to improve operational efficiency. The sure-fire way to do that is to optimize business logic, rationalize OSS applications, and simplify the Telecom OSS stack with AI and automation. Already, the Network OSS has evolved a Network Digital Twin for operators to have better control over their networks, reduce deployment time and accelerate repairs. The TechCo Toolkit will be a critical enabler of these futuristic developments in intelligent network deployment.”

About Prodapt

Prodapt is the largest and fastest-growing specialized player in the Connectedness industry. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world.

Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. We design, configure, and operate solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers.

Prodapt helps Communications Service Providers accelerate network agility through a proprietary set of Accelerators, including:

NeMA (Network Management Abstraction)provides a centralized interface for network configuration and management.​
NeSA (Network Service Assurance)enables a unified data mediation platform to collect network alarms, events and performance counters from network managers or elements.​
NeDR (Network Discovery & Reconciliation)discovers the current state of network and reconciles the discovered data with current data on OSS inventory platform​.

Today, our clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more.

A “Great Place To Work^® Certified” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.

ServiceNow, the ServiceNow logo, Now, Now Platform, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries.

Contacts

Marketing@prodapt.com
Source Link: https://www.businesswire.com/news/home/20240613448938/en/Prodapt-launches-TechCo-Toolkit-to-accelerate-digital-transformation-with-ServiceNow-for-Communications-Service-Providers

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“Today, the most widely used type of GPU-based instance is also the least expensive. This suggests that many customers are still in the experimentation phase with AI and applying the GPU instance to their early efforts in adaptive AI, machine learning inference and small-scale training,” said Yrieix Garnier, VP of Product at Datadog. “We expect that as organizations expand their AI activities and move them into production, they will be spending a larger proportion of their cloud compute budget as they use more expensive types of GPU-based instances.”

In addition to more companies spending compute on AI projects, the report found that containers were a common theme of wasted spend among organizations. In fact, 83% of container costs were associated with idle resources. About 54% of this wasted spend was on cluster idle, which is the cost of overprovisioning cluster infrastructure, while 29% was associated with workload idle, which comes from resource requests that are larger than their workloads require. This wasted spend comes as organizations allocate more of their EC2 compute to running containers, up to 35% compared to 30% a year ago.

Other key findings from the report include:

• Outdated Technologies Are Widely Used: AWS’s current infrastructure offerings commonly both outperform their previous-generation versions and cost less, but 83% of organizations still spend an average of 17% of their EC2 budgets on previous-generation technologies.
• Fewer Organizations Are Taking Advantage of Discounts: Cloud service providers offer commitment-based discounts on many of their services—for example, AWS has discount programs for Amazon EC2, Amazon RDS, Amazon SageMaker and others—but only 67% of organizations are participating in these discounts, down from 72% last year.
• Green Technology Is on the Rise for Better Performance and Cost: On average, organizations that use Arm-based instances spend 18% of their EC2 compute budget on them—twice as much as they did a year ago. Instance types based on the Arm processor use up to 60% less energy than similar EC2s and often provide better performance at a lower cost.

For the report, Datadog analyzed AWS cloud cost data from hundreds of organizations and explored how their use of emerging and previous-generation technologies, patterns of cloud resource usage, and participation in AWS discount programs all contributed to their cloud costs.

Datadog’s State of Cloud Costs 2024 is available now. For the full results, please visit: https://www.datadoghq.com/state-of-cloud-costs/. To learn how Datadog helps companies optimize their cloud costs, visit: https://www.datadoghq.com/product/cloud-cost-management/.

About Datadog

Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

Forward-Looking Statements

This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on November 7, 2023, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Contact
Dan Haggerty
press@datadoghq.com

SOURCE Datadog, Inc.
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Natural Language Processing (NLP)

Right from the moment we’re born, we begin to navigate through the terrain of expressing ourselves via languages. It is complex, chaotic, hurdle-ridden and ambiguous, owing to which it becomes imperative to keep at it while exposed to the language.

Colloquially representing a sea change in how advanced linguistic methodologies have managed to teach machines to understand human nuances, Natural Language Processing (NLP) primarily involves processing datasets, using probabilistic Machine Learning approaches. It often uses technology which is able to detect information and extract insights contained within datasets and classify them based on certain parameters. 

Furthermore, NLP is crucial to achieve proficiency in Statistics and Data Science for several reasons as follows:

1. Data Preprocessing: Prior to building predictive models, data is needed to be preprocessed. NLP techniques such as tokenization, stemming and  lemmatization help in preparing text data for analysis.
2. Feature Engineering: Approaches such as Term Frequency – Inverse Document Frequency (TF-IDF) as well as word embeddings like Word2Vec and GloVe are usually used to represent textual data in a format suited for statistical modeling.
3. Sentiment Analysis: Making sense of sentiments from textual data in arenas such as social media monitoring, customer feedback analysis, and brand reputation management, helps in quantifying the sentiment expressed in text, which can be further analyzed statistically.
4. Information Extraction, Text Generation and Summarization: Named Entity Recognition (NER) and relation extraction are NLP techniques that help in identifying entities and their relationships from text, assisting statistical analysis. Furthermore, NLP techniques can be used to generate text or summarize large volumes of text automatically. Text generation models like GPT (Generative Pre-trained Transformer) can be fine-tuned for specific tasks, while summarization techniques help in curtailing lengthy text into crisp summaries.

Utilizing AI Image Generators

Scrolling through our social media feeds on the daily, we must be well versed with a theme on whose basis paradigms are on their ascendency. The plethora of AI generated images and videos which are now inseparable from our lives.

We’ve scrolled through Google a plethora of times, only to see the effort taken for the numerous queries just for finding that desired image being fruitless. Nowadays, AI is there to help us in these endeavors. In this regard, AI image generators permit us to type in prompts to fit into an array of purposes, culminating in the required image popping up on our screen.

To summarize it briefly, AI image generators work in a similar way. That is, a user interface in the form of a neural network is trained by assimilating myriad image-text pairs. Once it processes this information, the system recognizes a large variety of data and can generate outputs based on the input we prompt it with. 

The next step is to actually render the AI-generated image, which the current lot of AI image generators do using a process called diffusion. In essence, what starts with a random forum of noise is then edited in a myriad of steps to match their interpretation of the prompt. It could be construed as looking up at a cloudy sky, finding a cloud which resembles a dog, and then snapping your fingers to have it look more dog-like.

Top AI Image Generators

DALL·E 3

It is arguably the biggest name in AI image generators, and with good reason. Developed by OpenAI, it can be used through ChatGPT or Microsoft Bing’s AI Copilot. For any given prompt, it produces intriguing, realistic, and consistent results. Previously, it felt like the brand had gone off the boil vis-a-vis its competitors for image generators, but DALL·E 3 has brought it right back into the reckoning.

The biggest thing is that DALL·E 3 is easy to use. Tell ChatGPT or Bing what you want to see, and within a few moments, you’ll have a handful of AI-generated assortments to choose from. It uses GPT-4’s perceptiveness of language to accentuate prompts, thus providing different results. 

While OpenAI no longer offers any headway to try DALL·E 3 for free, Microsoft does. If the user has a ChatGPT Plus subscription, he can use it to his heart’s content, subject to GPT-4’s limit of 40 messages per three hours. DALL·E 3 has two ways to edit images: users may ask ChatGPT to do so, and it will rerun the prompts with the required customizations; or it could be used as a select tool to limit the updates to specific portions of the image.

Midjourney

This program is known far and wide to consistently produce favorable results, with images created evidently coherent, with top notch composition and color patterns. In particular, people and real-world objects look lifelike and natural without undergoing a great deal of prompting. 

Moreover, this was the first AI image generator to have scripted victory in an art competition. On joining Midjourney’s Discord server or inviting the Midjourney bot, one can enter a prompt by typing /imagine [whatever you want to see]. The bot follows this input to generate four variations of images, which can then be downloaded, facelifted, re-edited etc.

It is priced at $10 monthly for a Basic Plan which permits the creation of 200 images.

Stable Diffusion

Stable Diffusion allows you to set an image style, add negative prompts for the references one does not want to see in the images, uses images as part of a prompt, and does things like setting the permeability of the prompt, the number of generation steps the model ought to take, and the exact random seed it utilizes. These steps are implemented before one even gets into training it on your own dataset, which is really where this program ups the stakes.

Created by DreamStudio, this generator provides the user with loads of control from the outset. When the input is entered, there are sliders which help in determining how large the final image is, how it corresponds vis-a-vis the input, how many steps the diffusion model takes, and the number of images generated. Also selectable is what version of the algorithm the generator uses (the latest is SDXL 1.0), and even enter a specific seed if the user seeks repeatable results.

As is with its pricing, this program works on a credit system. When signing up, the user gets to avail of 25 free credits, which are good for around 30 prompts or 120 images as per the default settings. Using a more powerful model, generating larger or more images, or iterating them through more steps would utilize those credits faster. Once that is done with, the user gets to replenish the stock, starting at $10 for 1,000 credits.

Dream by WOMBO

This image generator allows you to pick different design styles ranging from authentic, impressionist, humorist, hypothetical, mystical, fanatical, ink, and many more. It can be used to concoct up to four images, with brisk creation times.

Providing users to work with several customized templates, this program also permits remixing images. Its base level usage is free, with a subscription to avail of more features achievable at a monthly charge of $10.

Adobe Firefly

This brand has quite a few tricks up its sleeve. In addition to being capable of generating new images from a detailed text description, it can create text effects from a written prompt (envisage the word “TOAST” written with letters which seem as they have been made from toast), recolor vector artwork, or add AI-generated elements to your images.

These features can be tested out via its web application. Taken purely as a text-to-image generator, along with its integration with Photoshop, the industry standard image editor, is next level. Its USP is the concept known as the Generative Fill. The idea is that post using Photoshop’s regular tools to select an area of your image, the user can just click a button and type a prompt, after which the image can be replaced with something else whose genre is totally divergent.

This program comes free for the initial 25 credits, the point from which a further cost of $5 per 100 credits gets levied as part of Creative Cloud Photography Plan.

Japser Art

Jasper Art provides fine-tuning as it lets users choose from moods, mediums, styles, keywords, and even language. Once done, a solitary click on Create Artwork enables the application to output images in under a minute which is quite fast.

Its base version is free, with unlimited image generation coming as part and parcel of the package. Users may also avail of an all-time $20 subscription, helping them incorporate techniques from the website’s premium version.

BlueWillow

This AI image generator enables users to join the Discord server or by inviting the customized bot, one can enter a prompt by typing /imagine [whatever you want to see]. The bot follows this input to generate four variations of images, which can then be downloaded, upscaled, re-edited etc.

This program is free to use.

Crayon

Stepping into the world of AI image generation, Craiyon resembles that new kid on the block with a fresh take on proceedings. Input your prompts with ranges specified in the text-to-image generator, and in a blink, you’ve got a majestic creation staring back at you.

It costs $5 on a monthly subscription pack, with a more powerful model of the website to be at the users’ disposal.

Deep AI

This program assists developers to integrate AI to their projects through its refined features, its ability to come to the rescue of artists and designers via its ability to create resolution independent vector images, as well as generates cutting-edge visuals for marketers etc.

It comes with a $5 monthly package, with the website being equipped to generate images for 500 inputs.

Starry AI

It is an automatic AI image generator that specializes in turning images into NFTs (Non-Fungible Tokens). It uses Machine Learning algorithms to process images without requiring user input. The unparalleled feature of this program is that it grants users total ownership of the generated images, which can be used for personal or commercial purposes. It offers both Android and iOS apps for easy image formation.

At present, Starry AI is free and allows 5 images to be generated daily.

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