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Avenue Code Earns Specialization in Machine Learning from Google Cloud

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Avenue Code, a technology consultancy renowned for excellence in digital transformation and Artificial Intelligence (AI) services, proudly announces its specialization in Machine Learning from Google Cloud — Services. This achievement confirms the company’s well-defined process for developing AI projects and meeting Google’s quality standards. It solidifies Avenue Code’s position as a leader in Machine Learning and AI projects and marks a crucial step in its specialization in Generative AI.

SÃO PAULO, Sept. 3, 2024 /PRNewswire-PRWeb/ — Avenue Code, a technology consultancy renowned for excellence in digital transformation and Artificial Intelligence (AI) services, proudly announces its specialization in Machine Learning from Google Cloud — Services. This achievement confirms the company’s well-defined process for developing AI projects and meeting Google’s quality standards. It solidifies Avenue Code’s position as a leader in Machine Learning and AI projects and marks a crucial step in its specialization in Generative AI.

“Being recognized as a specialist in Machine Learning — Google Services is a significant milestone for us. It reinforces our expertise in AI and Machine Learning, making us more attractive to new clients and opportunities, given the limited number of companies in this category.”

“Being recognized as a specialist in Machine Learning — Google Services is a significant milestone for us. It reinforces our expertise in AI and Machine Learning, making us more attractive to new clients and opportunities, given the limited number of companies in this category,” says Alexander Carvalho, CEO of Avenue Code in Brazil.

This accomplishment not only highlights our team’s expertise and dedication but also motivates us to advance further in the AI field. We are thrilled about the new possibilities this opens for our clients and are eager to explore more innovative solutions. Our journey toward excellence in AI and Machine Learning is ongoing, and we are committed to leading the way.

The process of achieving specialization involves several stages, including certifying our employees as Google Cloud Professional Machine Learning Engineers and presenting successful cases involving Google Cloud Machine Learning technologies.

Success Stories
Among the cases presented, Avenue Code distinguished itself by developing an innovative Machine Learning project for a leading company in the centralization and organization of tax information in Brazil. The project utilized Google Cloud to standardize tax document formats from approximately 1,000 municipalities. Technologies such as Vertex, AutoML, and Cloud Storage were employed, resulting in a solution that enabled monthly savings of up to R$ 40,000.00.

For a client in the financial sector, Avenue Code developed a solution for classification and segmentation using Google Cloud. The project involved creating and testing nine classification models for various financial products, along with additional segmentation models of the customer base. This used more than 250 variables from a database containing 10 million rows. To address the challenge of rapidly testing these models, the team employed AutoML and custom Catboost models, complemented by advanced segmentation models processed through Vertex AI pipelines. The dashboards they created facilitated monitoring and provided valuable insights into customer groups and the distinct characteristics between buyers and non-buyers, unlocking potential for higher conversion rates across the company’s customer base of 900,000 investors.

Another project where Avenue Code shone was a customized workshop on Vertex AI AutoML for a company specializing in Big Data and Artificial Intelligence. The challenge was to optimize the company’s machine learning processes, making them more efficient and automated while easily integrating them into existing operations. The approach demonstrated how Vertex AI can enhance predictive model building and improve data understanding. As a result, there was a significant reduction in manual effort and an increase in productivity, providing a clear insight into how Vertex AI can make their processes more efficient and effective.

About Avenue Code
Avenue Code is a leading North American consulting firm specializing in software and AI for comprehensive digital transformation solutions. Since 2008, the company has partnered with Fortune 100 companies and organizations across various sectors to accelerate innovation. Headquartered in San Francisco, California, Avenue Code has offices in Brazil—São Paulo, Rio de Janeiro, Belo Horizonte, and Porto Alegre—as well as in Canada, Portugal, and the Netherlands.

Media Contact

Milena Bandeira, Avenue Code, 5511966425015, milena.bandeira@avenuecode.com, www.avenuecode.com

View original content:https://www.prweb.com/releases/avenue-code-earns-specialization-in-machine-learning-from-google-cloud-302236066.html

SOURCE Avenue Code

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Baidu to Report First Quarter 2026 Financial Results on May 18, 2026

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BEIJING, April 23, 2026 /PRNewswire/ — Baidu, Inc. (Nasdaq: BIDU; HKEX: 9888 (HKD Counter) and 89888 (RMB Counter)) (“Baidu” or the “Company”), a leading AI company with strong Internet foundation, today announced that it will report its financial results for the First Quarter 2026 ended March 31, 2026, before the U.S. market opens on May 18, 2026. Baidu’s management will hold an earnings conference call at 8:00 AM on May 18, 2026, U.S. Eastern Time (8:00 PM on May 18, 2026, Beijing Time).

Please register in advance of the conference call using the link provided below. It will automatically direct you to the registration page of “Baidu Inc. Q1 2026 Earnings Conference Call”. Please follow the steps to enter your registration details, then click “Register”. Upon registering, you will then be provided with the dial-in number, the passcode, and your unique access PIN. This information will also be emailed to you as a calendar invite.

For pre-registration, please click:
https://s1.c-conf.com/diamondpass/10054331-iu876y.html

In the 10 minutes prior to the call start time, you may use the conference access information (including dial-in number(s), the passcode and unique access PIN) provided in the calendar invite that you have received following your pre-registration.

Additionally, a live and archived webcast of this conference call will be available at https://ir.baidu.com.

A replay of the conference call may be accessed by phone at the following number until May 25, 2026:
US: 1 855 883 1031
Reply PIN: 10054331

About Baidu

Founded in 2000, Baidu’s mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong Internet foundation, trading on Nasdaq under “BIDU” and the HKEX under “9888.” One Baidu ADS represents eight Class A ordinary shares.

View original content:https://www.prnewswire.com/news-releases/baidu-to-report-first-quarter-2026-financial-results-on-may-18-2026-302751204.html

SOURCE Baidu, Inc.

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Phase 1 of 139th Canton Fair Introduces New Dedicated Product Zones as Emerging Technologies Take Center Stage

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GUANGZHOU, China, April 23, 2026 /PRNewswire/ — The 139th China Import and Export Fair (Canton Fair) has further optimized its exhibition landscape with nine new dedicated product zones, reflecting ongoing structural shifts in global trade and the continued upgrading of China’s export portfolio.

Among the most closely watched additions in Phase 1 are the consumer and agricultural drone zones, both making their debut at the Canton Fair and offering a focused showcase of applications in the low‑altitude economy. The consumer drone zone showcases progress in flight control, AI‑based obstacle avoidance and energy efficiency across imaging, tourism, emergency response and patrol. The agricultural drone zone highlights precision farming, with spraying, seeding and field‑management demonstrations showing terrain‑following, intelligent route planning, and precise payload control.

On day one, a Shandong‑based drone manufacturer welcomed buyers from 30+ countries, with over 50 strong leads. One buyer, after seeing load and wind‑resistance demonstrations, immediately confirmed three sample units and even proposed becoming a regional distributor.

Display technology is another focal point of Phase 1, highlighting advances in color accuracy, energy efficiency, and overall visual performance. Developments in fine‑grained control, expanded color gamut, and reduced power consumption point to a clear trend toward immersive viewing experiences combined with sustainability gains.

The smart wearables zone underscores how intelligent devices are becoming key interfaces for human‑machine interaction. From real‑time language translation and adaptive noise cancellation to long‑term health monitoring and AI‑enabled eyewear, wearables are evolving from standalone products into integrated systems that support communication, well‑being, and productivity across daily and professional settings.

The service robots zone further illustrates how artificial intelligence is moving from conceptual exploration to large‑scale deployment. Advanced robots showcased across industrial, commercial, medical, and public‑service scenarios demonstrate growing autonomy, multi‑sensory perception, and closer human-robot collaboration.

By bringing emerging technologies into clearer focus through dedicated zones, the 139th Canton Fair is reinforcing its function as a platform where trade trends take shape, innovation meets application, and global buyers gain early insights into cutting-edge technologies.

For pre-registration, please click: https://buyer.cantonfair.org.cn/register/buyer/email?source_type=16

Photo – https://mma.prnewswire.com/media/2963958/1.jpg

View original content:https://www.prnewswire.co.uk/news-releases/phase-1-of-139th-canton-fair-introduces-new-dedicated-product-zones-as-emerging-technologies-take-center-stage-302751520.html

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OZMOSI Announces Strategic Partnership with Planview to Advance AI-Driven Planning in Pharmaceutical R&D

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By combining structured clinical intelligence with AI-driven portfolio planning, the partnership gives pharmaceutical teams a faster, clearer way to make high-stakes R&D decisions

SPRING LAKE HEIGHTS, N.J., April 23, 2026 /PRNewswire/ — OZMOSI, a leading provider of structured pharmaceutical development intelligence, today announced a strategic partnership with Planview, the leading AI-powered end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD).

By integrating OZMOSI’s machine-readable clinical datasets directly into Planview’s AI-driven portfolio planning platform, external scientific data is now connected to internal R&D planning in one system,  helping pharmaceutical organizations better predict market shifts, prioritize R&D investments, and make faster, more confident decisions.

This integration brings external clinical reality into internal R&D decision-making, so teams can plan based on what’s actually happening, not just on what they hope will happen.

The two organizations combine deep expertise in complementary areas, united by a shared focus on improving the quality and usability of data for strategic decision-making. OZMOSI provides structured, machine-readable intelligence across clinical trials, drug development programs, regulatory activity, and scientific literature, built on a consistent taxonomy that standardizes how data is connected and understood. Planview’s platform enables organizations to model complex investment scenarios, align initiatives with corporate strategy, and optimize resource allocation.

Together, these capabilities give teams a clearer, more complete view of the R&D landscape, grounded in clean, standardized data and strengthened by AI-driven analysis.

“AI is only as powerful as the data that fuels it,” said Beau Bush, President and Founder of OZMOSI. “Pharmaceutical organizations have no shortage of data, but too often it’s fragmented, inconsistent, and difficult to operationalize. By bringing OZMOSI’s structured data foundation together with Planview’s AI-driven planning capabilities, we’re enabling teams to move beyond disconnected analysis and toward truly integrated, forward-looking decision-making.”

“Strategic planning in pharmaceutical R&D is becoming increasingly dependent on advanced analytics and AI,” said  Louise Allen, Chief Product Officer at Planview. “Integrating OZMOSI’s clinical intelligence into Planview’s platform enables pharmaceutical leaders to make better decisions by combining trusted external data with AI-driven planning

OZMOSI’s dataset spans more than 800,000 clinical trials, over 35,000 drugs, and 4,000 diseases and conditions. It brings together insights from clinical trial registries, regulatory filings, scientific literature, company disclosures, and industry announcements into a unified, structured dataset.

When integrated into Planview’s platform, this intelligence enables pharmaceutical and biotech organizations to evaluate competitive landscapes, identify emerging clinical trends, and simulate portfolio outcomes with unprecedented precision.

Together, OZMOSI and Planview are redefining how pharmaceutical organizations approach R&D strategy, ensuring that investment decisions are guided by accurate, standardized, and AI-ready data. By combining internal portfolio visibility with a continuously updated external view of the market, the partnership helps leaders not only understand what they have, but what to do next.

About OZMOSI

Founded in 2013, OZMOSI specializes in transforming complex pharmaceutical R&D intelligence into structured, machine-readable data. The company provides the foundation needed for accurate competitive analysis, product forecasting, and portfolio strategy. Through its proprietary taxonomy and semantic layer, OZMOSI connects fragmented data across the pharmaceutical ecosystem, enabling faster, more confident decision-making for global pharma, biotech, and investment teams.

Based in Spring Lake Heights, New Jersey, OZMOSI is focused on making pharmaceutical intelligence clear, usable, and ready for the future of AI-driven strategy. Learn more at www.ozmosi.com.

About Planview

Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD), powered by advanced AI capabilities that give business and technology leaders the strategic foresight to prioritize investments and initiatives, make plans real within constraints, and pivot with certainty when things change. Our AI-driven connected platform of solutions underpins the business and digital transformations of more than 3,000 customers and 3.1 million users globally. Headquartered in Austin, Texas, Planview has over 1,500 employees worldwide. Learn more at www.planview.com.

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SOURCE Ozmosi Company

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