AI adoption Archives

AppWizard

May 17, 2025

Google’s ML Kit GenAI APIs with Gemini Nano: On-Device AI for Privacy-Preserving Android Apps

Google announced on May 14, 2025, the expansion of its ML Kit offerings with new GenAI APIs powered by the Gemini Nano model, aimed at providing Android developers with access to advanced AI features while ensuring user privacy through on-device processing. The ML Kit GenAI APIs include four key capabilities: summarization, proofreading, rewriting, and image description. These APIs process data locally, keeping user data on the device, ensuring consistent functionality without internet connectivity, and avoiding recurring server costs. This development enhances the accessibility of sophisticated AI capabilities for Android developers and aligns with consumer privacy concerns. The architecture allows for future expansion of capabilities as Gemini models evolve.

AppWizard

May 6, 2025

Compulsion boss says Xbox isn’t mandating generative AI

Guillaume Provost, head of Compulsion Games, stated that Microsoft does not mandate the use of generative AI in its first-party studios, allowing developers creative autonomy. He emphasized Compulsion Games' commitment to craftsmanship and artistry, indicating that while generative AI could be beneficial in the pre-production phase for tasks like creating storyboards, it is not intended for use in production. Provost noted that Compulsion Games may not be at the forefront of AI adoption due to the nature of their projects, and this aligns with Microsoft's broader vision of innovation without compromising traditional game development practices.

Winsage

March 31, 2025

Microsoft is turning 50. Is it ready for the next technological frontier?

Satya Nadella made a significant investment in OpenAI at the end of 2022, positioning Microsoft as a leader in the AI sector and boosting its valuation by over a trillion dollars. As of early 2025, Microsoft faces challenges including reduced data center investments, disappointing stock performance, tensions with OpenAI, and declining market enthusiasm for AI technologies. The company's shares have dropped approximately 16% since peaking in July 2024, and it has experienced a 7% decline this year, making it the only member of the Magnificent 7 tech stocks without a gain over the past twelve months. Microsoft has retreated from ambitious AI infrastructure plans, scrapping data center projects that would have increased its computing power by about 14%. The company is also developing its own AI models while struggling with the market traction of Copilot, which has not advanced beyond initial testing for many organizations. Broader trends indicate a slowdown in AI adoption growth rates among U.S. workers and growing apprehension among CIOs regarding AI expenditures.

Tech Optimizer

February 20, 2025

EDB Postgres® AI Significantly Outperforms Oracle, SQL Server, MongoDB, and MySQL in New Benchmark Study

EnterpriseDB (EDB) has released findings from a benchmark study by McKnight Consulting Group, showing that EDB Postgres AI outperforms Oracle, SQL Server, MongoDB, and MySQL in various workloads, including transactional, analytical, and AI tasks. Key performance metrics include being 150 times faster than MongoDB in processing JSON data, 4 times faster than MySQL in handling insert operations, and outperforming Oracle by 17% and SQL Server by 30% in processing New Orders Per Minute (NOPM). EDB Postgres AI also offers 7 times better price performance than Oracle and 6 times better than SQL Server. The study highlights the challenges enterprises face with legacy systems consuming 55% of IT budgets, which hampers modernization efforts. EDB Postgres AI aims to address these challenges by streamlining data infrastructure, reducing total cost of ownership, and facilitating AI capabilities in a secure environment.

AppWizard

February 18, 2025

Tencent

Tencent has begun beta testing a new search function in Weixin, China's largest messaging app, powered by DeepSeek. Users can select an "AI Search" option in the search bar, utilizing both DeepSeek and Tencent's Hunyuan foundational model. This feature is exclusive to Weixin and not available on WeChat. The DeepSeek-R1 model, launched on January 20, offers advanced reasoning capabilities at lower training costs compared to AI models from OpenAI, Anthropic, and Google. Approximately 1.3 billion active Weixin users will benefit from this integration for various functions. Users can observe the reasoning process during queries, and DeepSeek-R1 has also been integrated into Tencent's AI chatbot application, Yuanbao. Chinese telecom operators have started using DeepSeek's models, and smartphone manufacturers like Huawei, Oppo, Honor, and Vivo are adopting the DeepSeek-R1 model in their devices.

Tech Optimizer

February 14, 2025

EDB Strengthens Partner Program to Accelerate Postgres® and AI Adoption Worldwide

EnterpriseDB (EDB) has expanded its Partner Program to support businesses and solution providers in response to the growing demand for enterprise-grade Postgres data management platforms, particularly for AI-driven data innovation. Over 35% of enterprises are seeking robust Postgres capabilities, with more than 67% of data workloads being hybrid. A McKinsey survey indicates that 65% of organizations are using generative AI in at least one business function. The enhanced EDB Partner Program includes exclusive training and certification, increased go-to-market commitments, a personalized digital experience through the EDB Partner Portal, and an industry success hub showcasing customer implementations. EDB is focusing on empowering partners to help customers innovate and scale in an AI-driven environment.

AppWizard

February 5, 2025

Report: 94% of devs say AI is going to play “critical role” in QA’s future

An overwhelming majority of game developers believe that artificial intelligence will play a “critical role” in the future of quality assurance, according to The State of Games QA report from Modl.ai, which surveyed over 300 developers. Currently, 94 percent of developers use non-AI automation in their workflow, with 39 percent describing their departments as “highly automated” or “entirely automated.” Only 29.7 percent of respondents have worked on a project released without bugs, and 50 percent express concern that QA budgets are not rising fast enough to keep pace with increasing game complexity. Despite advancements, 77 percent of developers admit they did not complete all necessary quality assurance for their most recent release. Looking ahead, 94 percent agree that AI will play a role in video game quality assurance, with 41 percent deeming it “very important” and 30 percent “extremely important.” Additionally, 87 percent believe their studios are prepared to integrate AI technology, though only 18 percent feel fully ready. Modl.ai focuses on revolutionizing game development through AI, including enhancing game testing and modeling player behavior.

Tech Optimizer

December 18, 2024

PostgreSQL becomes developers’ choice for AI and real-time apps

PostgreSQL is the preferred database for AI developers, with 78.6% of respondents favoring it for its flexibility in managing diverse data types. There has been a 65% increase in PostgreSQL adoption among developers compared to the previous year, and 55.3% of PostgreSQL developers now incorporate AI tools into their workflows, reflecting a 55% year-over-year increase. Additionally, 60% of developers use PostgreSQL for both personal and professional projects, indicating a 20% growth from last year. PostgreSQL's extensibility and familiar SQL interface make it attractive for AI-focused developers, allowing for the integration of advanced features like vector storage. Its scalability and support for modern workloads have led to its adoption across various industries, including IoT, financial technology, and healthcare.

Winsage

December 14, 2024

Rising to the TOPS: How will NPUs and Windows AI grow in 2025?

In 2024, Microsoft introduced the "Copilot+ PC" branding for AI-capable laptops, while Apple launched Apple Intelligence. These developments have led to mixed outcomes, with features like real-time translations and on-device speech-to-text being beneficial, but others, such as Windows Recall, still proving their value. By 2025, mainstream developers are expected to integrate on-device AI into Windows applications, influencing consumer purchasing decisions. The term "TOPS" (Trillions of Operations Per Second) is becoming important for evaluating the AI performance of Windows laptops, with a minimum of 40 TOPS required for Microsoft's "Copilot PC+" designation. Qualcomm's Copilot+ PCs reported around 45 TOPS, significantly higher than Intel's 11 TOPS. By the end of 2024, premium Windows laptops are expected to see a three- to four-fold increase in NPU performance compared to 2023 models. Analysts speculate further performance improvements may occur towards the end of 2025. Despite the potential for a two- to three-fold enhancement in on-device AI performance, experts caution against overemphasizing TOPS figures, which may not accurately reflect real-world performance. The lack of a unified API for leveraging NPU capabilities in Windows complicates matters for users of Copilot+ laptops without Qualcomm chips. Although AMD and Intel have released competitive chips, Qualcomm currently holds an advantage with exclusive support for certain applications. Microsoft is promoting its low-level machine learning API (DirectML) and the Windows Copilot Runtime, which may enhance the Copilot+ PC ecosystem. While cloud-based AI solutions remain an option, the cost of these services is expected to rise, making on-device AI more appealing. The introduction of ChatGPT Pro highlights the financial implications of cloud access compared to on-device NPU usage, which incurs no additional costs. The pace of on-device AI adoption in Windows' software ecosystem is anticipated to accelerate in 2025.

Winsage

October 30, 2024

Microsoft Copilot AI use extends deep into corporate America, but companies aren’t 100% sold

Microsoft 365 Copilot has seen a surge in adoption among corporations, with 79% of technology executives reporting their organizations are utilizing the tool. However, only half of the surveyed companies plan to roll it out to all employees, while 17% have opted against full adoption, and about a third are still testing it. A quarter of tech leaders believe the investment in Copilot is justified, while another quarter disagree, and half feel it is too early to assess its value. Two-thirds of organizations are increasing generative AI investments, but many projects remain in pilot stages, with over two-thirds of firms reporting that only 30% or fewer of their generative AI experiments have moved to full production. More than 40% of organizations struggle to define and measure the impact of their generative AI initiatives, and fewer than half have established key performance indicators. Microsoft has reported a near doubling of daily users of Copilot quarter-over-quarter, with nearly 60% of Fortune 500 companies utilizing the tool. A company with 10,000 employees could incur an annual cost of approximately .6 million for Copilot. A Morgan Stanley study indicates that 94% of CIOs expect to adopt Microsoft’s generative AI products within the next year, up from 63% in the previous quarter. According to the CNBC survey, 46% of respondents report that at least half of their employees are using AI, while 42% indicate that one-quarter of their workforce has embraced AI tools. Most organizations (84%) believe generative AI tools will significantly impact their business strategies moving forward.