#APAC

[imadhatt3r]

I had this thought when the coffin was first revealed in the first trailer, but don't you think that the Xes kind of look like chromosomes? (Or at least their common depiction, because irl they look a bit different)

I thought that it's just me seeing things, but now that I look at the trailer again, you can see these barcode-like patterns on different parts of the equipment belonging to APAC/Higgs' cult, like the samurai bots, the strap of Higgs' guitar and I think his armor itself? And you know what they remind me of? The results of gel electrophoresis, a kind of DNA test 🤯 I can't get a good reference for the codes from the trailer, but I promise you that they're there if you know what to focus on.

I wonder if that's what they were going for? Wouldn't be the first time Kojima used genetics as a part of his game. Plus, given all the talk about tar being the new primordial soup, it wouldn’t even be a reach to speculate that genes will probably be important in DS2's plot or themes

[thoughtportal]

how much money they got from APAC

[fuck-your-proana-blog]

@justdoitfatty you are exactly the type of pro ana ( and you are, in fact PRO ED, despite your denial) I was talking about in this post:

Thanks for bringing your disgusting anorexia promoting blog to my attention (and to the attention of every other anti pro ana that follows me) so I/we could report you. Stop promoting EDs, the disorder that almost killed me and countless others is not your fucking diet.

[w8ting4oct1031]

Award wins so good we make it look easy 🎉

Last night Wavemaker Asia-Pacific dominated at 2022’s MMA Global SMARTIES APAC, and after keeping the industry on its toes for the past 12 months, we are delighted to be adding a whopping 16 metals to our ever-growing awards cabinet 👏

Wavemaker teams from across the region cleaned up, taking home 40% of all Gold medals awarded, as well as APAC Best in Show and Media Agency of the Year. These awards represent the hard work and talent of Wavemakers and our incredible partners and clients, and it means we’re just one step closer to becoming the world’s most wanted media agency 🧡

Our awards haul in full:

🏆 APAC Best in Show: Shah Rukh Khan My Ad

🏆 Media Agency of the Year: Wavemaker India

🏆 Brand of the Year: Cadbury Celebrations

🏆 Advertiser of the Year: Mondelēz International

🥇 Lead Generation: Siri-ously in need of a holiday?

🥇 Audio / Voice / Sonic Branding: Siri-ously in need of a holiday?

🥇 Programmatic: Shah Rukh Khan My Ad

🥇 XR Technology – (AR/VR/MR): Shah Rukh Khan My Ad

🥇 Experimental / Innovation Technology: Shah Rukh Khan My Ad

🥇 Geo Targeting: Shah Rukh Khan My Ad

🥇 Real Time Marketing: Shah Rukh Khan My Ad

🥇 Customer Experience (CX): Silk Secret Messages

🥇 Personalization: Shah Rukh Khan My Ad

🥇 Short or Long Form Video: Perk Disclaimers

🥈 Audio / Voice / Sonic Branding: Strengthening brand's unique value using karaoke ad units

🥈 Programmatic: Perk Disclaimers

🥈 Personalization: Silk Secret Messages

🥉 Diversity & Inclusion: Cadbury Dairy Milk - #GoodLuckGirls

🥉 Cross Platform – Digital Only: Cookieclipse

🥉 XR Technology – (AR/VR/MR): My First Rakhi

[newsintheshell]

DISNEY+: ecco tutti i nuovi anime in arrivo appena presentati al Content Showcase 2022

Tokyo Revengers cambia casa, la Fenice di Tezuka risorge e altre novità ci attendono nel 2023 e oltre.

Considerato che a distanza di più di un anno dal precedente appuntamento, tuttora alcune delle serie annunciate in occasione dello scorso Content Showcase di Disney devono ancora cominciare ad arrivare su Disney+, fa un po' sorridere (e anche un po' piangere) che la casa di Topolino si affretti comunque a sbandierarne delle altre.

Quanto ci metterà ad imparare la stessa lezione impartita a Netflix? I fan non amano aspettare troppo, soprattutto se si parla di titoli dal grande richiamo, ma andiamo con ordine.

🔶🔸TOKYO REVENGERS: CHRISTMAS SHOWDOWN

Togliamoci subito il dente e veniamo alla prima notizia, che come per "BLEACH: THOUSAND-YEAR BLOOD WAR" penso farà mettere le mani nei capelli a diversa gente: ebbene sì, l'attesa seconda stagione dell’action supernatural drama, tratto dal celebre manga di Ken Wakui (che qua in Italia possiamo leggere grazie a J-POP Manga), sarà distribuita in esclusiva da Disney. Press F for Crunchyroll.

In Asia, fra l'altro, gli episodi verranno passati in simulcast, a partire da gennaio 2023, mentre qua in Occidente non è chiaro entro quando li vedremo arrivare.

Faccio notare che la licenza in questione fa parte di un pacchetto, ottenuto tramite un rinnovato accordo con la casa editrice Kodansha, quindi prepariamoci a una guerra sempre più aperta fra i vari servizi di streaming on demand. 

🔶🔸PHOENIX: EDEN17

Altro sorpresa, stavolta piacevole però. Nel corso del 2023 arriverà un nuovo adattamento animato de "LA FENICE", uno dei grandi classici firmati dal Dio del Manga in persona: Osamu Tezuka.

Il format non è stato specificato, ma il teaser anticipa già il bel lavoro in corso d'opera fatto presso STUDIO 4℃ (I Figli del Mare, La Fortuna di Nikuko).

🔶🔸SYNDUALITY

Confermato l'arrivo sul catalogo anche della serie mecha sci-fi che accompagnerà il lancio, nel 2023, dell'omonimo videogioco sviluppato da Game Studio per Bandai Namco.

In produzione presso lo studio 8-BIT (That Time I Got Reincarnated as a Slime, Blue Lock), l'anime ha come regista un insospettabile Yusuke Yamamoto (Encouragement of Climb, OshiBudo).

Spesso me ne dimentico, ma in tempi non sospetti ha anche diretto "KNIGHT'S & MAGIC" e "AQUARION EVOL".

🔶🔸 MURAI IN LOVE

Per questa siamo ancora, evidentemente, in alto mare. Non si sa ancora se sia una serie tv o no (ma presumo di sì dai), né chi ci stia lavorando o quando arriverà, ma intanto abbiamo la conferma che potremo vedere la commedia romantica comodamente in streaming.

Tratta dal manga di Junta Shima, la storia ha come protagonista un innamoratissimo e determinatissimo liceale, che per vincere il cuore della propria insegnante è pronto a qualsiasi cosa, anche ad un cambio radicale per assomigliare in tutto e per tutto al suo personaggio dei videogiochi preferito.

🔶🔸DRAGONS OF WONDERHATCH

Il potere degli isekai è così incontrastato che ormai anche Disney è capitolata. Per l'inverno 2023, infatti, è stato annunciato il debutto di questo originale ibrido fra live action e anime.

Dietro alla cinepresa della parte con attori in carne troviamo Kentaro Hagiwara (Tokyo Ghoul - Il Film), mentre la regia della parte animata è in mano a Takashi Otsuka (One Piece: Stampede).

Quest'ultima sta venendo realizzata presso gli studi PRODUCTION I.G (Ao Ashi, The Deer King) con alla base il concept design di Posuka Demizu, l'illustratrice di "THE PROMISED NEVERLAND".

🔶🔸PROJECT BULLET/BULLET

In ultimo, chiudiamo con un altro progetto originale nato da un'idea di Sunghoo Park (Jujutsu Kaisen, The God of High School), sulla quale sta lavorando da parecchi anni.

Il titolo della serie è ancora provvisorio e maggiori dettagli verranno rivelati in futuro. Per il momento vi posso solo dire che il tutto è in cantiere presso E&H PRODUCTION (Ninja Kamui), lo studio appena fondato dal regista.

* NON VUOI PERDERTI NEANCHE UN POST? ENTRA NEL CANALE TELEGRAM! *

Autore: SilenziO)))

blogger // anime enthusiast // twitch addict // unorthodox blackster - synthwave lover // penniless gamer

FONTE: [  1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

[things-the-world-must-know]

[jcmarchi]

Aman Sareen, CEO of Aarki – Interview Series

New Post has been published on https://thedigitalinsider.com/aman-sareen-ceo-of-aarki-interview-series/

Aman Sareen, CEO of Aarki – Interview Series

Aman Sareen is the CEO of Aarki, an AI company that delivers advertising solutions that drive revenue growth for mobile app developers. Aarki allows brands to effectively engage audiences in a privacy-first world by using billions of contextual bidding signals coupled with proprietary machine learning and behavioral models. Working with hundreds of advertisers globally and managing over 5M mobile ad requests per second from over 10B devices, Aarki is privately held and headquartered in San Francisco, CA with offices across the US, EMEA, and APAC.

Could you share a bit about your journey from co-founding ZypMedia to leading Aarki? What key experiences have shaped your approach to AI and AdTech?

My adtech leadership odyssey began with co-founding ZypMedia in 2013, where we engineered a cutting-edge demand-side platform tailored for local advertising. This wasn’t just another DSP; we built it from the ground up to handle high-volume, low-dollar campaigns with unprecedented efficiency. Think of it as the precursor to the hyper-localized, AI-driven targeting we see today.

As CEO, I steered ZypMedia to $20 million in SaaS revenue and processed $200 million in media transactions annually. This experience was a crucible for understanding the sheer scale of data that modern ad platforms must handle — a challenge tailor-made for AI solutions.

My stint at LG Ad Solutions, post-ZypMedia’s acquisition by Sinclair, was a deep dive into the world of device manufacturers and how the control of viewership data can shape the future of Connected TV (CTV) advertising. We used a lot of AI/Machine learning in building the LG Ads business, where the data collected from devices was used to generate targeting segments, inventory blocks, and planning software.

As CEO of Aarki since 2023, I’m at the forefront of the mobile advertising revolution. I can say that my journey has instilled in me a profound appreciation for the transformative power of AI in adtech. The progression from basic programmatic to AI-driven predictive modeling and dynamic creative optimization has been nothing short of remarkable.

I’ve come to see AI not just as a tool but as the backbone of next-generation adtech. It’s the key to solving the industry’s most pressing challenges; from privacy-compliant targeting in a post-device ID world to creating genuine and personalized ad experiences at scale. I firmly believe that AI will not only solve the pain points the advertisers face but also revolutionize how operations are run at platforms like Aarki. The lessons from my journey — the importance of scalability, data-driven decision-making, and continuous innovation — are more relevant than ever in this AI-first era.

Can you elaborate on how Aarki’s multi-level machine-learning infrastructure works? What specific advantages does it offer over traditional adtech solutions?

My experiences have taught me that the future of adtech lies in harmonizing big data, machine learning, and human creativity. At Aarki, we explore how AI can enhance every aspect of the mobile advertising ecosystem; from bid optimization and fraud detection to creative performance prediction and user acquisition strategies.

At this stage, Aarki’s multi-level machine learning infrastructure is designed to address several critical aspects of mobile advertising, from fraud prevention to user value prediction. Here’s how it works and why it’s advantageous:

Fraud Detection and Inventory Quality Control: It’s designed to protect our clients’ performance and budgets. Our multi-layered approach combines proprietary algorithms with third-party data to stay ahead of evolving fraud tactics. We ensure campaign budgets are invested in genuine, high-quality inventory by constantly evaluating user behaviors and maintaining an up-to-date fraud database.

Deep Neural Network (DNN) Models: Our core infrastructure utilizes multi-stage DNN models to predict the value of each impression or user. This granular approach allows each model to learn features most crucial for specific conversion events, enabling more precise targeting and bidding strategies compared to one-size-fits-all models.

Multi-objective Bid Optimizer™ (MOBO): Unlike simple bid shading used by most DSPs, our MOBO considers multiple factors beyond price. It uses dynamic variables such as campaign and inventory attributes, predicted user value, and CPM segmentation to optimize bids. This sophisticated method maximizes ROI while balancing multiple objectives, finding optimal bids that win, meet KPI goals, and pace correctly to utilize campaign budgets fully.

These components offer significant advantages over traditional AdTech solutions:

Superior fraud detection

More accurate predictions and better ROI through multi-stage DNNs

Granular creative hyper-targeting with multi-objective bid pricing

Scalability to handle vast amounts of data

Privacy-first targeting with contextual cohorts

Our AI-driven approach allows for unprecedented accuracy, efficiency, and adaptability in mobile advertising campaigns. By leveraging deep learning and advanced optimization techniques, Aarki delivers superior performance while maintaining a strong focus on privacy and fraud prevention.

How does the Dynamic Multi-object Bid Optimizer function, and what impact does it have on maximizing ROI for your clients?

The Dynamic Multi-object Bid Optimizer is a sophisticated system that goes beyond traditional bid shading algorithms. Unlike simple bid shading algorithms that focus solely on pricing just under the predicted winning bid, our optimizer considers multiple objectives simultaneously. This includes not just price but also campaign performance metrics, inventory quality, and budget utilization.

The optimizer takes into account a range of dynamic variables, including campaign and inventory attributes, predicted user value, and CPM segmentation. These variables guide the optimization process around client-specific KPIs, primarily ROI. This allows us to tailor our bidding strategy to each client’s unique goals.

One of the key strengths of our optimizer is its ability to balance between acquiring high-value users efficiently and exploring new, untapped user segments and inventory. This exploration helps us discover valuable opportunities that more rigid systems might miss.

In practice, this means our clients can expect more efficient use of their ad spend, higher-quality user acquisition, and, ultimately, better ROI on their campaigns. For example, it might make sense to pay 50% more to bid for a user who is 5 times more valuable (ROAS). The optimizer’s ability to balance multiple objectives and adapt in real-time allows us to navigate the complex mobile advertising landscape more effectively than traditional, single-objective bidding systems.

Aarki emphasizes a privacy-first approach in its operations. How does your platform ensure user privacy while still delivering effective ad targeting?

I’m proud to say that privacy-first engagement is one of the core pillars of our platform, along with our AI platform. We’ve embraced the challenges of the no-device-ID world and developed innovative solutions to ensure user privacy while delivering effective ad targeting. Here’s how we accomplish this:

ID-less Targeting: We’ve fully adapted to the post-IDFA landscape and are SKAN 4 compliant. Our platform operates without relying on individual device IDs, prioritizing user privacy from the ground up.

Contextual Signals: We leverage a wide array of contextual data points such as device type, OS, app, genre, time of day, and region. These signals provide valuable targeting information without requiring personal data.

Massive Contextual Data Processing: We process over 5 million ad requests per second from over 10 billion devices globally. Each request has a wealth of contextual signals, providing us with a rich, privacy-compliant dataset.

Advanced Machine Learning: Our 800 billion row training model database correlates these contextual signals with historical outcome data. This allows us to derive insights and patterns without compromising individual user privacy.

Dynamic Behavioral Cohorts: Using machine learning, we create highly detailed, dynamic behavioral cohorts based on aggregated contextual data. These cohorts enable efficient optimizations and scaling without relying on personal identifiers.

ML-driven Creative Targeting™: For each cohort, we use machine learning in collaboration with our creative team to devise optimal creative strategies. This approach ensures relevance and effectiveness without infringing on individual privacy.

Continuous Learning and Adaptation: Our AI models continuously learn and adapt based on campaign performance and evolving contextual data, ensuring our targeting remains effective as privacy regulations and user expectations evolve.

Transparency and Control: We provide clear information about our data practices and offer users control over their ad experiences wherever possible, aligning with privacy best practices.

By leveraging these privacy-first strategies, Aarki delivers effective ad targeting while respecting user privacy. We’ve turned the challenges of the privacy-first era into opportunities for innovation, resulting in a platform that’s both privacy-compliant and highly effective for our clients’ user acquisition and re-engagement campaigns. As the digital advertising landscape evolves, Aarki remains committed to leading the way in privacy-first, AI-driven mobile advertising solutions.

Can you explain the concept of ML-driven Creative Targeting™ and how it integrates with your creative strategy?

ML-driven Creative Targeting™ is our methodology for optimizing ad creatives based on the behavioral cohorts we identify through our machine learning models. This process involves several steps:

Cohort Analysis: Our ML models analyze vast amounts of contextual data to create detailed behavioral cohorts.

Creative Insights: For each cohort, we use machine learning to identify the creative elements that are likely to resonate most effectively. This could include color schemes, ad formats, messaging styles, or visual themes.

Collaboration: Our data science team collaborates with our creative team, sharing these ML-derived insights.

Creative Development: Based on these insights, our creative team develops tailored ad creatives for each cohort. This might involve adjusting imagery, copy, calls-to-action, or overall ad structure.

Dynamic Assembly: We use dynamic creative optimization to assemble ad creatives in real-time, matching the most effective elements to each cohort.

Continuous Optimization: As we gather performance data, our ML models continually refine their understanding of what works for each cohort, creating a feedback loop for ongoing creative improvement.

Scale and Efficiency: This approach allows us to create highly targeted creatives at scale without the need for manual segmentation or guesswork.

The result is a synergy between data science and creativity. Also one of our core pillars, Unified Creative Framework, ensures that our ML models provide data-driven insights into what works for different audience segments. At the same time, our creative team brings these insights to life in compelling ad designs. This approach enables us to deliver more relevant, engaging ads to each cohort, simultaneously improving campaign performance and user experience.

What role does your creative team play in developing ad campaigns, and how do they collaborate with the AI models to optimize ad performance?

Our creative team plays an integrated role in developing effective ad campaigns at Aarki. They work in close collaboration with our AI models to optimize ad performance. The creative team interprets insights from our ML models about what resonates with different behavioral cohorts. They then craft tailored ad creatives, adjusting elements like visuals, messaging, and formats to match these insights.

As campaigns run, the team analyzes performance data alongside the AI, continuously refining their approach. This iterative process allows for rapid optimization of creative elements.

The synergy between human creativity and AI-driven insights enables us to produce highly targeted, engaging ads at scale, driving superior performance for our clients’ campaigns.

How does Aarki’s AI infrastructure detect and prevent ad fraud? Can you provide some examples of the types of fraud your system identifies?

As I mentioned earlier, Aarki employs a multi-layered approach to combat ad fraud. We are approaching fraud deterrence as a pre-bid filter with post-bid analytics of the data that comes through our systems. While I’ve already outlined our general strategy, I can provide some specific examples of the types of fraud our system identifies:

Click flooding: Detecting abnormally high click rates from specific sources.

Install farms: Identifying patterns of multiple installs from the same IP address or device.

Abnormal click-to-install time (CTIT): Spotting abnormal click-to-install times as a signal for bot activity.

Low Retention Rates: Identifying users from publishers that repeatedly exhibit low retention rates after install.

Our AI continuously evolves to recognize new fraud tactics, protecting our clients’ budgets.

How does Aarki’s approach to user acquisition and re-engagement differ from other platforms in the industry?

Aarki’s approach to user acquisition and re-engagement sets us apart in several key ways:

Privacy-First Strategy: We’ve fully embraced ID-less targeting, making us SKAN 4 compliant and future-ready in a privacy-focused landscape.

Advanced AI and Machine Learning: Our multi-level machine learning infrastructure processes vast amounts of contextual data, creating sophisticated behavioral cohorts without relying on personal identifiers.

ML-driven Creative Targeting™: We uniquely combine AI insights with human creativity to develop highly targeted ad creatives for each cohort.

Dynamic Multi-object Bid Optimizer: Our bidding system considers multiple objectives simultaneously, balancing efficiency with exploration to maximize ROI.

Contextual Intelligence: We leverage trillions of contextual signals to inform our targeting, going beyond basic demographic or geographic segmentation.

Continuous Optimization: Our AI models continuously learn and adapt, ensuring our strategies evolve with changing user behaviors and market conditions.

Unified Approach: We offer seamless integration of user acquisition and re-engagement strategies, providing a holistic view of the user journey.

Scalability: Our infrastructure can handle immense data volumes (5M+ ad requests per second from 10B+ devices), enabling highly granular targeting at scale.

Advanced Fraud Deterrence Mechanisms: Our in-house pre-bid fraud filters, post-bid analytics of massive data volumes, combined with 3rd-party data, put us at the forefront of saving our clients’ money from fraudulent traffic.

This combination of privacy-centric methods, advanced AI, creative optimization, fraud deterrence, and scalable infrastructure allows us to deliver more effective, efficient, and adaptable campaigns.

My experiences have taught me that the future of ad tech lies in harmonizing big data, machine learning, and human creativity. I take pride in the fact that, in addition to our technology, we also have an outstanding team of analysts, data scientists, and creative professionals who add human creativity to our tech.

Could you share some success stories where Aarki’s platform significantly improved client ROI and campaign effectiveness?

The AppsFlyer Performance Index recognizes Aarki as a leader in retargeting, ranking us #1 for gaming in North America and #3 globally. We are also rated as a top performer across all Singular advertising ROI indexes. This case study is also a testament to our global leadership. Not just for gaming, but we have recent case studies showcasing our ability to drive results across various app categories.

I’m proud to highlight our partnership with DHgate, a leading e-commerce platform. Our retargeting campaigns for both Android and iOS delivered exceptional results, showcasing Aarki’s ability to drive performance at scale.

Leveraging our deep neural network technology, we precisely assembled user segments to maximize retargeting effectiveness. This resulted in a 33% growth in higher-intent user clicks and a 33% increase in conversions.

Most impressively, while DHgate’s spend with Aarki increased by 52%, we consistently exceeded their 450% D30 ROAS goals by 1.7x, achieving an outstanding 784% ROAS. This case exemplifies our commitment to delivering superior results for our clients. Read more about it here.

For a food and delivery app, we implemented a retargeting campaign to reactivate users and acquire new customers efficiently.

This resulted in a 75% decrease in Cost Per Acquisition (CPA) and 12.3 million user reactivations. The key to success was utilizing our Deep Neural Network models to target the right audiences with tailored messaging, keeping the campaign fresh and engaging. Read it here.

These case studies demonstrate our ability to drive significant improvements in key metrics across different app categories and campaign types. Our privacy-first approach, advanced AI capabilities, and strategic use of contextual data allow us to deliver outstanding results for our clients, whether in user acquisition or re-engagement efforts.

What future advancements in AI and machine learning do you foresee as pivotal for the mobile advertising industry?

Looking ahead, I anticipate several pivotal advancements in AI and machine learning for mobile advertising:

Enhanced privacy-preserving techniques: The massive scale of data we process will lead to unprecedented learning capabilities. Deep neural networks (DNNs) will leverage this to create superior privacy-first engagement strategies. In fact, the concept of “targeting” will evolve so dramatically that we’ll need new terminology to describe these AI-driven, predictive approaches.

Generative AI for real-time creative optimization: We’ll see AI that can not only optimize but also create and dynamically modify ad creatives in real-time. This will revolutionize how we approach ad design and personalization.

Holistic Predictive Models: By combining our deep neural networks for product insights with our Multi-Objective Bid OptimizerTM (MOBO) for pricing, we’ll develop highly effective and efficient models for both user acquisition and retargeting. These will provide incredibly accurate predictions of long-term user value, allowing for smarter, more strategic campaign management.

These advancements will likely lead to more effective, efficient, and user-friendly mobile advertising experiences.

Thank you for the great interview, readers who wish to learn more should visit Aarki.

[sutraanalytics]

Exploring the Possibilities of Sgt. on August 22nd

On August 22nd at 2 PM SGT, join Dr. Dwijendra Dwivedi,CQF,PRM and Meng Liu as they delve into the rising fraud cases across APAC. Discover essential strategies and recommendations for banks and financial services firms to enhance fraud management practices and safeguard operations.

Don’t miss this critical discussion reshaping the future of financial security. https://lnkd.in/gAuzd3BQ

[bhaskarlive]

Delhi-NCR 5th most expensive office space rental market in Asia-Pacific: Report

Delhi-NCR is the fifth most expensive office space rental market in the Asia-Pacific (APAC) region, as transactions across the three major markets in India saw a notable 50 per cent increase in the second quarter (Q2) of 2024, a report showed on Monday.

Prime office rents remained steady in Delhi-NCR, Mumbai and Bengaluru, according to the Knight Frank APAC Prime Office Rental Index.

Source: bhaskarlive.in

[laxmipharma]

Injectable Vial Powder Filling Machine in Uganda

Company Overview: Laxmi Pharma Equipment is one of the leading Manufacturers, Supplier and Exporter of Injectable Vial Powder Filling Machine in Uganda. An Injectable Vial Powder Filling Machine specializes in precisely and efficiently filling powders into vials. This machine is crucial in the pharmaceutical, biotechnology, and medical industries, where accurate dosage and sterile conditions are essential. It ensures the correct amount of powder is dispensed into each vial, maintaining high standards of quality and consistency. Features: High Precision: Ensures accurate and consistent powder dosing, essential for pharmaceutical and biotech applications. Automatic Operation: Streamlines the filling process with automated controls, reducing manual labor and improving efficiency. Sterile Environment: Designed to operate in a clean environment, maintaining sterility and preventing contamination. User-Friendly Interface: Equipped with an intuitive control panel for easy operation and monitoring. Versatile: Capable of handling a range of vial sizes and types, including glass and plastic vials. Low Maintenance: Built for durability with easy-to-clean components, minimizing maintenance requirements. Safety Features: Includes safety mechanisms to protect operators and ensure safe operation. Applications: Pharmaceutical Industry Food and Beverage Industry Cosmetics Industry Chemical Industry Laxmi Pharma Equipment is Injectable Vial Powder Filling Machine in Uganda Including Adjumani, Kotido, Apac, Kumi, Arua, Lira, Bugiri, Luwero, Bundibugyo, Masaka, Bushenyi, Masindi, Busia, Mbale, Gulu, Mbarara, Hoima, Moroto, Iganga, Moyo, Jinja, Mpigi, Kabale, Mubende, Kabarole, Mukono, Kalangala, Nakasongola, Kampala, Nebbi, Kamuli, Ntungamo, Kapchorwa, Pader, Kasese, Pallisa, Katakwi, Rakai, Kibale, Rukungiri, Kiboga, Sembabule, Kisoro, Soroti, Kitgum, Tororo. Interested parties are encouraged to contact the company for further details and inquiries. View Product: Click Here Read the full article

[qhsetools2022]

OFSE HSE Leader - APAC

Job title: OFSE HSE Leader – APAC Company: Baker Hughes Job description: OFSE HSE Leader – APAC Are you excited by working for an industry leader in HSE? Do you enjoy taking ownership… for HSE matters? Join our team Our Teams commitment to HSE goes beyond safety alone, occupational health and wellness… Expected salary: Location: Kuala Lumpur – Tan-Tan Job date: Fri, 19 Jul 2024 22:05:47 GMT Apply…

[rumela18]

Recent Developments in the Plasterboard Market in Asia-Pacific region

Recent Developments in the Plasterboard Market in Asia-Pacific region

The Asia-Pacific region is experiencing a rapid growth in the plasterboard market, driven by factors such as urbanization, infrastructure development, and increasing demand for modern construction materials. Some recent developments in the Asia-Pacific plasterboard market are as follows:

In December 2023, Etex Group acquired BGC’s lightweight construction materials, including gypsum products and fiber cement, in Australia. This deal includes BGC’s large plasterboard plant in Perth and a network of warehouses across Australia and New Zealand, strengthening Etex’s position in the Asia-Pacific market.

In October 2023, Georgia-Pacific opened a new gypsum wallboard facility in Sweetwater, Texas, marking the company’s first new build since 2004. This $325 million facility aims to enhance safety, quality, and operational efficiency, showcasing Georgia-Pacific’s commitment to innovation and leadership in the construction materials industry.

Market Size and Growth

The Asia-Pacific gypsum board market size was estimated at USD 18.4 billion in 2023 and is projected to grow at a CAGR of 14.0% from 2024 to 2030.

The Asia-Pacific region is poised to lead the gypsum-based plasterboard market and alternatives, with countries like China, India, and Southeast Asian nations witnessing significant growth in construction activities.

The Asia-Pacific Plasterboard Market size is projected to grow at a compound annual growth rate (CAGR) of 9.48% from 2024 to 2031.

Regulations and Standards

Regulations significantly shape the gypsum board market in the Asia-Pacific region, with various countries implementing specific laws and standards to ensure quality, safety, and environmental compliance.

China has strict regulations under the GB/T 9775 standard, which sets comprehensive criteria for the physical and mechanical properties of gypsum boards.

India’s Bureau of Indian Standards (BIS) prescribes IS 2095 standards, mandating specific requirements for different types of gypsum boards.

Japan’s Building Standards Law imposes stringent fire-resistance requirements on construction materials, including gypsum boards, to enhance building safety in earthquake-prone regions.

Australia’s National Construction Code (NCC) incorporates regulations that promote the use of eco-friendly and sustainable materials, pushing the gypsum board market towards greener production practices.

The Asia-Pacific region’s plasterboard market is expected to continue its growth trajectory, driven by ongoing urbanization, infrastructure development, and the increasing adoption of modern construction materials.

[fuck-your-proana-blog]

How much exercise is too much? (context: I’m a 15yo girl)

I am not a doctor and will not give a child medical advice. Overexercise is no joke, and it ruined my life so I will not advise you on how much is too much because I don't know you, and I am not a medical professional.

[alwinsimson]

What Customers Say About Us

This is a enquiry page. we are here to help you. you can contact the covalense digital product csmart by filling these.

[jcmarchi]

IDC: GenAI smartphones to drive global shipment growth in 2024

New Post has been published on https://thedigitalinsider.com/idc-genai-smartphones-to-drive-global-shipment-growth-in-2024/

IDC: GenAI smartphones to drive global shipment growth in 2024

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IDC has revised its global smartphone shipments forecast 2024, projecting a 5.8% year-on-year (YoY) growth to 1.23 billion units. The market intelligence firm’s optimistic outlook is driven by strong growth in affordable Android devices across emerging markets and substantial interest in generative AI-capable smartphones in premium segments.

IDC’s senior research director, Nabila Popal, noted that Android devices are expected to see growth rates nine times faster than iOS at 7.1% compared to 0.8%. This disparity is attributed to increasing competition for Apple in China and a higher comparison base year for the iPhone maker.

However, the forecast suggests potential upside for iOS, depending on the reception of GenAI features in the upcoming iPhone 16 and Apple’s ability to establish local AI partnerships in China. IDC anticipates an improved trajectory for iOS in 2025, with 4% YoY growth expected due to the anticipated momentum of Apple Intelligence.

The report highlights the rapid adoption of GenAI smartphones, forecasting a 344% growth in this segment to capture 18% of the total market by the end of 2024. IDC research director Anthony Scarsella pointed out that most flagship models will likely incorporate some on-device GenAI features.

“Although GenAI smartphones are relatively new in the market, premium flagships will continue to adopt GenAI features to help separate them from the pack,” said Anthony Scarsella, research director for IDC’s Worldwide Quarterly Mobile Phone Tracker. Notably, the average selling price for GenAI-capable smartphones is expected to be more than double that of non-GenAI devices, further driving the premiumisation trend in the industry.

The smartphone market’s recovery comes after a challenging period. IDC’s data shows 12% growth in the first quarter of 2024, followed by 9% growth in the second quarter. This positive trend has bolstered confidence in the industry’s performance for the latter half of the year.

Even the latest Canalys research revealed that the worldwide smartphone market grew strongly in the second quarter of 2024, with shipments reaching 288.9 million units. “The market has grown for three consecutive quarters, driven by product innovation initiatives and improvements in business conditions,” Canalys stated.

Mirroring IDC’s data, Canalys noted that despite a modest 1% shipment increase, Samsung held onto pole position with 53.5 million units shipped. Meanwhile, Apple held second place with 45.6 million units, bolstered by solid momentum in North America and APAC’s emerging markets. 

China’s Xiaomi, with its competitive product offerings, followed closely with shipments of 42.3 million units to achieve a market share of 15%. “Greater China’s growth trajectory now mirrors global markets, driven by improved macroeconomic conditions and renewed business confidence among channel and smartphone brands,” the report stated.

Like elsewhere, the Chinese domestic market will see local Chinese brands use GenAI features to stand out in the premium segment, aiming to capture rising high-end spending and apply successful strategies worldwide. 

“Samsung will inevitably focus on integrating its Galaxy ecosystem to create strong value propositions for consumers via its flagship offerings with exclusive GenAI features,” Canalys Senior Analyst Sanyam Chaurasia said. Apple will look to accelerate replacement demand in these markets via its AI strategy, with hybrid models, enhanced privacy and personalised Siri features.” 

Even Canalys doesn’t foresee the smartphone market seeing double-digit growth in 2024 despite the seasonal demand in the year’s second half. Overall, the global technology market analyst firm anticipates the smartphone market to grow in the mid-single digits in 2024, driven by recovering inventory levels, eased import restrictions, and a better economic climate. 

(Photo by Samuel Angor)

See also: Arm unveils new AI designs and software for smartphones

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