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Trainocate Launches AI Mastery Program to develop talent in Generative AI, with support from AWS

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New training program to help accelerate the development of skilled talent in generative AI

BENGALURU, India, May 31, 2024 /PRNewswire/ — Trainocate, a leading training provider in information technology (IT), and an Amazon Web Services (AWS) Advanced Tier Training Partner and Authorized Training Partner (ATP), has announced its ‘AI Mastery Program’ in India, marking a significant milestone in its commitment to driving artificial intelligence (AI) transformation. Leveraging training programs such as AWS Skill Builder and AWS Industry Quest, and building on AWS’s expertise in generative AI and machine learning (ML) technology, Trainocate aims to empower professionals and organisations with generative AI skills needed to thrive in today’s AI-driven world.

“Trainocate’s AI Mastery Program, exemplifies our commitment to providing cutting-edge training solutions and empowering professionals to harness the transformative power of AI,” said Takashi Ozawa, Chairman of Trainocate Holdings. “Through collaboration and innovation, we aim to shape the future of learning and development, driving success for individuals and organisations worldwide.”

AI has emerged as a driver of innovation across industries as the technological landscape continues to evolve. As per the study, “Accelerating AI Skills: Preparing the Asia-Pacific Workforce for Jobs of the Future“, commissioned by AWS and conducted by Access Partnership, which surveyed more than 500 employers and 1,600 workers in India, almost all employers (99%) envision their companies becoming AI-driven organisations by 2028. The study also showed that 95% of workers in India indicated a keen interest in developing AI skills to accelerate their careers, and that workers in India with AI skills and expertise could see salary hikes of over 54%, when AI is fully harnessed.

“Our recent study shows that nine in ten employers in India have hiring AI-talent as a priority, and 98% of surveyed employers and workers expect to use generative AI tools on the job within the next five years,” said Amit Mehta, Head of Training and Certification, AWS India Private Limited*. “But a significant majority of them (79%) struggle to find the AI talent they need, and this points to a looming AI skills gap in the country. We are pleased that organisations like Trainocate are collaborating with AWS to prioritize AI skills training, and enable the growth of learners and organisations.”

AWS provides enterprise-grade security and privacy, access to industry-leading foundation models (FMs), and generative AI-powered applications, to enable customers to build and scale using generative AI customised for their data and use cases. These services include Amazon Q, the most capable generative artificial intelligence (GenAI)-powered assistant for accelerating software development and leveraging companies’ internal data, and Amazon Bedrock, a fully managed service that offers customers a choice of high-performing FMs through a single application programming interface (API), and additional capabilities to build generative AI applications with security, privacy, and responsible AI.

“At Trainocate, we recognise the immense potential of AI to revolutionise industries and drive growth,” stated Vikas Mathur, Vice President of Sales – Cloud, at Trainocate India. “Our collaboration with AWS for the AI Mastery on AWS Program underscores our dedication to equipping professionals with the knowledge and skills needed to thrive in an increasingly AI-driven world. Through programs like these, we are proud to contribute to advancing technology and empowering individuals and organisations alike.”

The program starts with complimentary AWS Discovery Day sessions, designed to introduce participants to the conceptual knowledge of AI technologies. Following this introduction, learners can opt for the comprehensive two-day instructor-led classroom training – Developing Generative AI Applications on AWS, where they will benefit from hands-on labs to experiment with a range of AWS services, including Amazon Bedrock and Amazon Q. This course not only delves deeper into AI technologies but also offers certification opportunities, empowering participants with industry-recognized credentials such as AWS Certified Cloud Practitioner.

“Trainocate’s AI Mastery program with AWS comes at an opportune time as businesses look to harness the power of AI. Technical expertise is crucial, but equal importance must be given to building AI awareness and readiness across the organization,” said Ranjit Jaiswara, Head – Talent Development – AWS Business Unit, TCS. “Initiatives like this help strike that delicate balance. By bringing together the technical prowess of AWS with Trainocate’s immersive learning approach, professionals get a strong foundation in both the technology and business side of AI. Collaborations like these are key to overcoming the AI skills gap organizations face today.”

Key Offerings of the AI Mastery Program

The AI Mastery Program provides a comprehensive blend of AWS-led and ATP-led content and delivery options, including:

Digital (self-paced) learningInstructor-led training (ILT)Practice tests and assessmentsPlayground labs (sandbox)Industry use casesIndustry projects

About Trainocate

Trainocate, a global leader in learning and development solutions, offers state-of-the-art training in essential skills like Generative AI, Cloud Computing, Data Analytics, Security, and more. With partnerships with industry giants like AWS, Cisco, Microsoft, and Google Cloud, Trainocate empowers professionals and organisations across 15 countries. With a network of 750+ certified trainers and 1,500+ corporate clients, we’ve empowered over 200,000 individuals and organizations globally in 2023, driving career enhancement, market credibility, and transformation. Your journey to excellence begins with Trainocate.

Visit our website www.trainocate.com

Email: upskill@trainocate.com

Call: +91 9223361686

*About Amazon Web Services (AWS) India Private Limited

AWS India Private Limited undertakes the resale and marketing of AWS Cloud services in India. 

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Electrolux Group to end production in Jászberény, Hungary

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STOCKHOLM, April 22, 2026 /PRNewswire/ — Electrolux Group has decided to end production at the Jászberény, Hungary factory, which manufactures built-in and freestanding refrigeration products. Production is expected to cease by the end of 2026. A restructuring charge of approximately SEK 0.6 billion, of which SEK 0.3 billion is cash related, will be reported as a negative non-recurring item affecting operating income for Region Europe, Middle East & Africa and Asia-Pacific in the second quarter of 2026.

The decision follows a review of the company’s strategy to strengthen cost competitiveness and increase agility through production footprint optimization. This is driven by the current competitive environment, which is impacted by stagnant market demand, price pressure, and increasing constraints on cost competitiveness. The planned site closure will impact approximately 600 employees.

Electrolux Group will fully meet demand for refrigeration products by leveraging existing operations as well as working with external OEM partners. The decision does not affect the local sales and marketing activities managed by the Budapest office. 

This is information that AB Electrolux is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out below, on 22-04-2026 08:30 CET.

For more information:

Ann-Sofi Jönsson, Head of Investor Relations & Sustainability Reporting, +46 73 025 1005

Maria Åkerhielm, Investor Relations Manager, +46 70 796 3856

Henry Sjölin, Investor Relations Manager, +46 76 863 51 85

Electrolux Group Press Hotline, +46 8 657 65 07

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/electrolux-group/r/electrolux-group-to-end-production-in-jaszbereny–hungary,c4337676

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https://mb.cision.com/Main/1853/4337676/4051089.pdf

Press release Hungary April 22 2026 ENG final

 

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SOURCE Electrolux Group

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MediaGo and hipto Secure Another Les Cas d’Or Gold in Performance Marketing

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SAN FRANCISCO, April 22, 2026 /PRNewswire/ — Recently, MediaGo, a global intelligent advertising platform, and hipto, France’s premier lead generation specialist, won Gold in the “Content and Vertical Industries” category at the prestigious French digital marketing awards, Les Cas d’Or. Recognized for a benchmark performance marketing campaign in the health insurance sector, this award—voted on by over 40 brand marketing directors—serves as further authoritative validation of MediaGo’s technical prowess and service capabilities in the European market.

Following previous wins of Gold in the Native Advertising category and Bronze in the Banking & Insurance Acquisition category, this latest industry honor marks another significant milestone. It underscores that MediaGo’s localized native advertising capabilities, along with its ability to apply deep learning technologies in complex user acquisition scenarios across France and Europe, have earned high acclaim from both the market and industry experts, cementing its position at the forefront of the industry.

The French health insurance market is highly competitive and saturated. Local advertisers have long relied heavily on search and social media channels, resulting in persistently high CPAs and significant traffic inflation. Addressing these industry pain points, MediaGo and hipto collaborated to pioneer a new growth trajectory, establishing the open web as the third core acquisition pillar alongside search and social. By leveraging premium local news and information publishers in France, they seamlessly integrated native ads into media environments, providing the insurance sector with a scalable, replicable growth blueprint to effectively counter traffic inflation.

This award-winning campaign focused on scaling the acquisition of high-intent leads in the insurance sector. It successfully overcame three structural challenges inherent in traditional bidding models: reactive algorithms, high cold-start costs, and the difficulty of balancing scale with efficiency. This achievement further validates MediaGo’s strong operational capabilities and its innovation in native advertising within the French market.

Powered by five deep learning models and the newly upgraded SmartBid 3.0, MediaGo precisely predicts the conversion probability of each ad impression in real time. Paired with hipto’s high-frequency creative iterations (3–5 times per week), MediaGo continuously identifies high-potential audience clusters, further enhancing targeting precision. In addition, SmartBid 3.0’s unique “global learning” mechanism reduced the cold start learning cycle for new campaigns by 50%. This partnership enabled campaigns to achieve stable monetization from day one.

By utilizing SmartBid 3.0’s MaxCV mode, hipto’s campaigns achieved a dual breakthrough in both scale and efficiency. Data shows an immediate 32% uplift in monthly conversion volume and a threefold increase in lead volumes over the longer term, successfully expanding market share within a saturated vertical. Additionally, native ad CTR surpassed the industry benchmark by 53%, demonstrating the platform’s ability to precisely target high-intent users. Notably, even with a 48% increase in mobile budget allocation, CPA decreased by 2.6%, proving that volume scaling and margin preservation can coexist.

Leo Ye, Head of Partnerships at MediaGo, stated: “Winning the Les Cas d’Or Gold for Performance Marketing is a strong endorsement of MediaGo’s technical strength and localized service capabilities. We remain committed to a performance-driven, advertiser-centric approach, deepening our footprint in the French market to help advertisers break through growth bottlenecks in a saturated landscape.”

Looking ahead, MediaGo will continue to deepen its presence in Europe. With deep learning at its core, the platform aims to continuously enhance its native advertising capabilities and localized operations, delivering tangible value to global advertisers and empowering partners to achieve high-quality, sustainable business growth in complex market environments.

About MediaGo

MediaGo is a leading intelligent advertising platform. Based on deep learning algorithms, MediaGo empowers businesses of all scales, creating tangible value for companies. With 12 operational centers worldwide, MediaGo has successfully provided localized and comprehensive business growth services to over 10,000 partners.

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Dandelion Civilization launches a Human Intelligence Platform to make talent risk visible before it becomes expensive

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New Human Intelligence Platform helps employers assess role fit, team dynamics, and early behavioral risk to avoid costly talent decisions.

AMSTERDAM, April 22, 2026 /PRNewswire/ — Dandelion Civilization today announced the launch of its Human Intelligence Platform at HR Tech Europe 2026, introducing a new approach to talent management and workforce decision-making, built around behavioral intelligence rather than instinct alone.

The launch addresses a problem many organizations already understand but still struggle to solve. Talent mis-matches are expensive, early misalignment is difficult to correct, and quality of hire remains hard to improve because the real consequences often appear months after a decision is made. Industry estimates frequently place the total cost of hiring a new employee at several times the position’s salary, especially when poor fit leads to replacement, lost productivity, and disruption.

While much of the HR technology market has focused on the hiring stage itself, Dandelion Civilization is taking a different route. The platform is designed to help employers understand how people are likely to perform in real conditions by revealing how they think, act, and interact across hiring, team development, and workforce risk.

At the core of the platform is a behavioral intelligence layer that creates continuous, evolving profiles of individuals and teams. Rather than relying only on CVs, interviews, or static questionnaires, Dandelion Civilization uses behavioral simulations to surface signals around decision making, collaboration, pressure response, and alignment. According to the company’s launch materials, the product is built around three core areas: hiring intelligence, team dynamics, and behavioral risk. It is designed to support decisions before day one, strengthen visibility into how individuals affect team performance, and identify patterns that may point to conflict, disengagement, or misalignment before those issues damage business outcomes.

“We are not creating another assessment tool,” said Dmitry Zaytsev, Founder and CEO of Dandelion Civilization. “We are building the infrastructure for better talent decisions. Companies often discover the true cost of misalignment too late, when trust weakens, performance slips, or the hiring process has to begin again. We want to make those signals visible earlier, when organizations can still act on them.”

The company says the platform is designed to fit into existing workflows without technical friction. Employers send a link, candidates complete an online simulation, and talent teams receive a decision-ready report. The launch deck states that the simulation takes around 20 to 40 minutes, requires no integration, and works in any browser.

While the platform begins with hiring, Dandelion Civilization is positioning the launch as the first step toward a broader layer of human capital intelligence that can support team design, talent development, and earlier visibility into people related risk over time.

About Dandelion Civilization
Dandelion Civilization is building a Human Intelligence Platform that helps organizations understand how people think, act, and interact across the employment lifecycle. Using behavioral simulations and digital profiling, the platform supports hiring, team development, and earlier visibility into workforce risk. Its launch materials describe the product as a system designed to reduce talent blind spots and reveal behavior beyond profiles.

 

 

 

 

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