Latest news with #SDK
Business Wire
7 days ago
- Business
- Business Wire
Moloco SDK Is Now Available via Google AdMob and Ad Manager
REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Moloco, the AI performance advertising company, today announced that Moloco SDK is now available through Google AdMob bidding and Ad Manager's SDK bidding platforms. In addition, Moloco SDK is fully self-serve for publishers. This integration validates that Moloco meets Google's rigorous standards for performance, reliability, and integration. App developers will be able to monetize their inventory through Moloco's global direct advertiser demand while maintaining a high-quality user experience. This availability enables publishers already connected with Google through AdMob and Ad Manager to access Moloco's advertiser ecosystem. 'Moloco has consistently been recognized as a top-performing platform for ad monetization, optimized to drive real business outcomes,' said Yoni Markovizky, Head of Supply, Moloco. 'Moloco SDK, which was already a certified bidding partner for AppLovin's MAX and Unity's LevelPlay, is now also available through Google AdMob and Ad Manager. With these direct integrations, we can continue to operate as an engine of growth for an even greater pool of publishers with no margin fees, applying the cost savings directly to our partners in the ecosystem.' To date, Moloco has nearly 500 publishers utilizing the Moloco SDK including Voodoo, Crazy Maple, and Audiomack. For publishers, the SDK provides automatic access to Moloco's global direct advertiser demand and leverages advanced AI to serve the right ad to the right user, maximizing revenue. Additionally, publishers maintain creative rendering control across various ad formats, ensuring ads monetization aligns with an optimal user experience. For advertisers, who will also benefit, this integration supports enhanced targeting capabilities and greater control, ultimately driving greater return on investment (ROI). To learn more about Moloco SDK, please visit: About Moloco Moloco is the AI engine for growth helping businesses across the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco's Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Founded in 2013 by a team of machine learning engineers, Moloco has offices across the U.S., the U.K., Germany, Korea, China, India, Japan, and Singapore. Learn more at
Time of India
26-07-2025
- Business
- Time of India
India's agentic advantage: Using scalable AI agents with responsibility
The rise of AI agents marks a pivotal moment in the evolution of artificial intelligence, moving beyond chat-based interactions to systems that autonomously execute complex tasks across enterprise environments. These emerging capabilities significantly lower the barrier to AI adoption by enabling users to interact through simple, outcome-driven commands rather than navigating siloed, complex democratizing and easing access to enterprise systems, AI agents can unlock new levels of productivity across business functions like IT, HR, finance, customer service, and marketing. This is particularly relevant for India, where AI adoption is gaining strong momentum yet faces some challenges that need to be addressed. According to IDC, the Indian market for AI, including generative AI, is projected to grow at a CAGR of 33.7%, reaching $6 billion by 2027. As operational catalysts of this generative AI wave, AI agents will be central to converting this macroeconomic potential into real enterprise value. However, realizing this at scale requires more than powerful agents; it calls for a fundamental rethinking of enterprise architecture . In today's hybrid IT environments, agents must integrate seamlessly across applications, data sources, and infrastructure. Orchestration, integration, and automation will be critical to moving AI agents from pilots to enterprise-wide impact. To enable this shift, organizations must act across three key dimensions: Simplifying access and adoption Pre-built agents targeting common workflows, like workforce management, procurement, or sales, can accelerate time to value by offering plug-and-play functionality tailored to specific needs. Low-code and no-code platforms empower business users to build and deploy agents with minimal technical expertise, unlocking broader participation. For developers, open-source frameworks and Software Development Kits (SDK) offer the flexibility to build and embed specialized agents into existing environments. India is already ahead of the curve. A recent study found that 87% of Indian IT decision-makers report significant progress in executing their 2024 AI strategy, with 76% already achieving positive ROI from their AI initiatives. This reflects a strong focus on practical, outcome-oriented solutions that simplify complex processes and deliver measurable business value. Orchestrating collaboration across systems The true power of AI agents emerges when they work in tandem, sharing information, routing tasks, and coordinating across organizational boundaries. Multi-agent orchestration enables cross-functional workflows by integrating with apps, legacy systems, and third-party platforms, ensuring agents augment rather than replace existing investments. In India's hybrid enterprise environments, such interoperability is key. Whether in financial services, manufacturing, or government, agents that operate across cloud-native and legacy systems drive productivity gains without disruptive overhauls. Ensuring observability and responsible operation As AI agents scale in autonomy and reach, responsible operation becomes mission-critical. Indian business leaders are acutely aware of this. According to an IBM study , Indian respondents identified the need for robust governance as the top challenge to scaling AI adoption. Enterprises need visibility into how agents perform, where they are deployed, and whether their actions align with business goals and risk frameworks. Observability tools must monitor agent behavior, enforce guardrails, and ensure outcomes are reliable, auditable, and trustworthy. Charting a responsible path in the agentic era As enterprises enter the Agentic era, the narrative must evolve beyond productivity alone. India's rapid AI adoption, digital infrastructure, and growth momentum position it as a global leader, but with that comes the responsibility to set a strong example. AI agents offer immense potential, but they also introduce complexity that demands a dual focus on enablement and responsibility. By integrating these aspects into their Agentic AI strategy, Indian enterprises can create a blueprint for responsible AI at scale, balancing productivity and innovation with safety and integrity.
Techday NZ
24-07-2025
- Business
- Techday NZ
Denodo unveils DeepQuery to deliver explainable AI insights
Denodo has announced the private preview of DeepQuery, a new capability designed to enable enterprise-grade artificial intelligence to answer complex questions using live and governed data from across an organisation's systems. DeepQuery is positioned to help both large and smaller businesses by allowing users, including those without data science backgrounds, to ask multi-step, "why" questions and receive structured, explainable answers within minutes. The functionality moves beyond current generative AI (GenAI) and retrieval augmented generation (RAG) tools by connecting not just to internal data, but also by incorporating relevant external information for deeper contextual insights. Explaining reasoning Denodo describes DeepQuery as a "deep research" capability. While GenAI typically rephrases content or retrieves information from text, DeepQuery is intended to investigate, synthesise and explain reasoning across multiple sources, using information that is current and contextualised. Users can receive answers to highly specific business questions such as "What's driving changes in customer retention across regions?" or "Why did fund outflows spike last quarter?" without needing to manually aggregate information from disparate systems. In a statement, Angel Viña, Chief Executive Officer and Founder of Denodo, explained the company's approach: AI's true potential in the enterprise lies not just in generating responses, but in understanding the full context behind them. Unlike siloed solutions tied to a single store, DeepQuery leverages enriched, unified semantics across distributed sources, allowing AI to reason, explain, and act on data with unprecedented depth and accuracy. According to Denodo, DeepQuery allows users to engage with live, governed data spanning systems, departments, and differing data formats, and expand those datasets with information from public sources, external applications, or trading partners. Supporting AI development DeepQuery is set to be distributed as part of the Denodo AI SDK, a set of tools aimed at making AI application development more accessible and efficient. This design intends to allow organisations to integrate deep research abilities into their applications, agents, or specialist industry solutions. Through the SDK, developers and AI teams gain the flexibility to build and experiment with research capabilities tailored to their needs. Stewart Bond, Research Vice President for Data Intelligence and Integration Software at IDC, commented on the announcement: With DeepQuery, Denodo is demonstrating forward-thinking in advancing the capabilities of AI. DeepQuery, driven by deep research advances, will deliver more accurate AI responses that will also be fully explainable. Denodo asserts that while large language models and business intelligence software are increasingly incorporating research features, current approaches are often limited to web data, data lake-based architectures, or document retrieval. By contrast, DeepQuery connects to authoritative, structured enterprise data in real time, underpinned by Denodo's data virtualisation platform. Integration and standards Alongside DeepQuery, Denodo is introducing support for the Model Context Protocol (MCP) as part of its AI SDK. The company states this will facilitate integration between AI agents and other applications built on MCP-compliant standards, supporting customers investing in agentic AI architectures built with open principles. Nagaraj Sastry, Senior Vice President for Data and Analytics at Encora, reflected on DeepQuery from the perspective of business partners: As a Denodo partner, we're always looking for ways to provide our clients with a competitive edge. Denodo DeepQuery gives us exactly that. Its ability to leverage real-time, governed enterprise data for deep, contextualised insights sets it apart. This means we can help our customers move beyond general AI queries to truly intelligent analysis, empowering them to make faster, more informed decisions and accelerating their AI journey. Early access DeepQuery is currently in private preview. Denodo is inviting selected organisations to participate in an AI Accelerator Programme, granting early access to DeepQuery and an opportunity to provide feedback that may shape development ahead of widespread availability. With the unveiling of DeepQuery, Denodo is seeking to expand the ability of AI within enterprises beyond static factual recall to provide users with actionable, justified answers to complex queries spanning the breadth of an organisation's data landscape.
Geeky Gadgets
09-06-2025
- Geeky Gadgets
OpenAI's TypeScript SDK Makes AI Agent Creation a Breeze
What if building intelligent, scalable AI agents was no longer a daunting challenge but a streamlined, intuitive process? With the release of OpenAI's new TypeScript SDK, that vision is becoming a reality. By combining the power of TypeScript—a language celebrated for its strong typing and developer-friendly features—with OpenAI's innovative expertise, this toolkit promises to redefine how developers approach AI agent creation. Whether you're crafting a chatbot to transform customer support or designing a complex AI system for real-time analytics, the SDK offers a robust foundation to bring your ideas to life. Its focus on developer productivity and seamless integration sets it apart as a fantastic option in the rapidly evolving AI landscape. This coverage explores how OpenAI's TypeScript SDK is poised to transform AI development. From pre-built components that save hours of coding to advanced debugging tools that simplify problem-solving, the SDK is packed with features designed to empower developers at every level. But it's not just about convenience—this toolkit emphasizes scalability, performance optimization, and interoperability, making sure your AI solutions are as reliable as they are innovative. Whether you're a seasoned developer or just starting with AI, the possibilities unlocked by this SDK are worth exploring. After all, the future of AI isn't just about what you build—it's about how effortlessly you can build it. OpenAI TypeScript SDK Overview Why TypeScript is the Ideal Foundation for AI Development The decision to base the SDK on TypeScript is both deliberate and strategic. TypeScript provides a robust framework for writing clean, maintainable, and scalable code. For developers, this translates to fewer runtime errors and greater confidence in the stability of their applications. Its static typing system ensures that potential issues are identified early in the development process, reducing debugging time and improving overall code quality. TypeScript's widespread adoption within the developer community further reinforces its suitability. Its compatibility with existing workflows allows seamless integration of the SDK into ongoing projects. Whether you are building a chatbot, virtual assistant, or a more complex AI-driven system, the TypeScript SDK offers a solid foundation to accelerate your development efforts. By combining TypeScript's strengths with OpenAI's expertise, this SDK provides a powerful toolset for creating reliable and scalable AI solutions. Key Features of the TypeScript SDK The TypeScript SDK is equipped with a range of features designed to enhance productivity and simplify the development of AI agents. These capabilities include: Pre-built Components: A library of ready-to-use components and templates enables rapid prototyping and deployment of AI agents, saving valuable development time. A library of ready-to-use components and templates enables rapid prototyping and deployment of AI agents, saving valuable development time. Advanced Developer Tools: Integrated debugging, testing, and monitoring tools streamline the identification and resolution of issues, making sure a smoother development process. Integrated debugging, testing, and monitoring tools streamline the identification and resolution of issues, making sure a smoother development process. Scalability: The SDK is optimized to handle increasing workloads, making sure that your AI agents can grow alongside your application's demands. The SDK is optimized to handle increasing workloads, making sure that your AI agents can grow alongside your application's demands. Seamless Integration: Built-in support for connecting with existing applications and APIs allows developers to embed AI capabilities with minimal effort. Built-in support for connecting with existing applications and APIs allows developers to embed AI capabilities with minimal effort. Customizability: Extensive options for tailoring AI agents to meet specific business or user requirements, providing flexibility for diverse use cases. These features collectively make the SDK a versatile and powerful tool for developers, allowing them to focus on innovation rather than repetitive tasks. New OpenAI TypeScript Agents SDK Watch this video on YouTube. Browse through more resources below from our in-depth content covering more areas on AI agents. Enhancing Developer Productivity The TypeScript SDK is designed to significantly boost developer efficiency. By offering pre-built components, it eliminates the need to write repetitive code, allowing developers to concentrate on solving complex problems and delivering innovative solutions. The integrated debugging tools further enhance productivity by allowing quick identification and resolution of issues, while TypeScript's static typing reduces the likelihood of errors during development. Collaboration is another area where the SDK excels. Its clear documentation and intuitive APIs make it easier for teams to work together on large-scale AI projects. This fosters a collaborative environment where team members can contribute effectively, regardless of their level of experience. Additionally, the SDK promotes consistent coding practices, which are essential for maintaining quality and efficiency in large development teams. Scalability and Performance Optimization Scalability is a core strength of the TypeScript SDK. It is specifically designed to handle high volumes of data and user interactions, making sure that your AI agents can grow alongside your business needs. Whether you are developing a customer support chatbot, a real-time analytics tool, or a complex AI-driven application, the SDK provides the infrastructure required to support increasing demands. In addition to scalability, the SDK emphasizes performance optimization. Efficient algorithms and resource management techniques ensure that AI agents operate smoothly, even under heavy workloads. This focus on performance makes the SDK a reliable choice for mission-critical applications where consistency and speed are paramount. Seamless Integration with Existing Applications Integrating AI capabilities into your applications is straightforward with the TypeScript SDK. Its interoperability allows developers to connect AI agents to a wide range of platforms, APIs, and services. This flexibility enables the creation of cohesive, AI-driven ecosystems that enhance user experiences and deliver measurable value. For example, the SDK can be used to embed an AI-powered chatbot into an e-commerce platform, providing personalized recommendations and real-time customer support. Alternatively, it can integrate AI analytics into business intelligence tools, allowing data-driven decision-making across an organization. These capabilities make the SDK a versatile tool for businesses looking to harness the power of AI. Empowering the Future of AI Development OpenAI's TypeScript SDK represents a significant advancement in AI agent development. By combining the strengths of TypeScript with a feature-rich toolkit, the SDK enables developers to build scalable, efficient, and seamlessly integrated AI solutions. Its focus on improving developer productivity, scalability, and application integration makes it an indispensable resource for creating the next generation of AI-powered applications. Whether you are an experienced developer or new to AI, the TypeScript SDK provides the tools and resources needed to bring your ideas to life. With its robust features and developer-friendly design, it is poised to play a pivotal role in shaping the future of AI development. Media Credit: Developers Digest Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Associated Press
05-06-2025
- Business
- Associated Press
OneMeta Inc. Achieves SOC 2 Type 2 Certification, Strengthening Stakeholder Confidence and Platform Security
Bountiful, Utah--(Newsfile Corp. - June 5, 2025) - OneMeta Inc. (OTCQB: ONEI), the AI leader in multilingual communication, announced today that it has achieved SOC 2 Type 2 certification-a critical validation of its commitment to secure, enterprise-grade technology. This milestone positions OneMeta to accelerate adoption across regulated industries and strengthen key relationships in customer experience (CX), BPO, healthcare, and government. Maintaining Momentum for Growth and Trust SOC 2 Type 2, developed by the AICPA, verifies OneMeta's controls around Security, Confidentiality, and Availability over a sustained audit period. It sends a clear message: OneMeta is built to scale securely and operate with the integrity global enterprises demand. The certification covers the full Verbum™ Suite, including: Transforming Voice Experiences with VerbumSDK OneMeta's VerbumSDK stands apart in the market, enabling call centers and enterprise platforms to embed real-time multilingual capabilities directly into voice infrastructures. This is already in motion through strategic relationships with Genesys, Five9, and other leading CX providers. These integrations allow enterprise customers to: 'Achieving SOC 2 Type 2 is more than a security milestone; it's a clear signal to our clients and stakeholders that OneMeta is built on a foundation of trust and transparency,' said Saúl Leal, CEO of OneMeta Inc. 'As we continue expanding into regulated industries, this certification ensures that our innovations in AI and language technology meet the highest standards for safeguarding data.' Why It Matters Now As global enterprises increasingly demand secure AI-driven solutions for multilingual communication, OneMeta's certification further strengthens its competitive edge and reinforces its market credibility. This achievement positions the company for strategic relationships and growth in sectors where compliance is mandatory and non-negotiable. For customers and investors, this certification strengthens OneMeta's defensibility and expands its total addressable market. The company is now positioned to secure larger enterprise deals, tap high-barrier industries, and grow recurring revenue through its SDK and cloud-based Verbum services. About OneMeta Inc. OneMeta Inc. is a Multilingual Enablement company focused on overcoming the communication challenges of a world with many languages. Its proprietary, end-to-end natural language processing architecture was developed using artificial intelligence tools and allows the spoken and written word to be synthesized, translated, and transcribed in less than one second. OneMeta's products support near-real-time web-based and mobile phone-based conversations, discussions, meetings, and online chats in over 140 languages and dialects. OneMeta's technology is fully compliant with SOC2, HIPAA, and GDPR standards, ensuring the highest levels of security and privacy for all communications. OneMeta Inc.: We create a more understanding world.™ Learn more at Media Contact: [email protected] To view the source version of this press release, please visit
