Latest news with #APIs
Business Upturn
6 hours ago
- Business
- Business Upturn
Concord Biotech completes EU GMP inspection at Dholka API facility
By Aditya Bhagchandani Published on July 18, 2025, 13:10 IST Shares of Concord Biotech may remain in focus after the company announced that it has successfully completed the European Union Good Manufacturing Practice (EU GMP) inspection at its Active Pharmaceutical Ingredient (API) manufacturing facility in Dholka, Gujarat. In a regulatory filing on July 18, 2025, the company informed the exchanges that the inspection at the Dholka facility was conducted from July 14 to July 18, 2025. The audit was concluded without any critical observations, reflecting the company's adherence to global regulatory standards. 'This achievement underscores our unwavering commitment to upholding the highest standards of quality, safety, and regulatory compliance across all aspects of our operations. It reflects our dedication to excellence and our continued focus on meeting the rigorous requirements of global regulatory authorities,' the company said in the statement. The EU GMP certification is considered a key milestone for pharmaceutical companies, enabling them to export APIs to regulated markets in Europe and beyond. Hina Patel, Company Secretary and Compliance Officer of Concord Biotech, signed off the communication, which was addressed to both the National Stock Exchange of India and the BSE Limited. Investors and market participants will watch the stock closely as the EU GMP certification strengthens Concord Biotech's position in international markets and reinforces confidence in its manufacturing quality. Ahmedabad Plane Crash Aditya Bhagchandani serves as the Senior Editor and Writer at Business Upturn, where he leads coverage across the Business, Finance, Corporate, and Stock Market segments. With a keen eye for detail and a commitment to journalistic integrity, he not only contributes insightful articles but also oversees editorial direction for the reporting team.
United News of India
20 hours ago
- Business
- United News of India
Lupin gets GMP from TGA Australia for Dabhasa API facility, Gujarat
Hyderabad, July 17 (UNI) Global pharma major Lupin Limited (Lupin) today announced that the API manufacturing facility of its wholly owned subsidiary, Lupin Manufacturing Solutions (LMS), in Dabhasa, Gujarat, has received the Good Manufacturing Practice (GMP) certification from the Therapeutic Goods Administration (TGA), Australia's medicines and medical devices regulator. LMS offers pharmaceutical CDMO services and is engaged in the manufacturing and supply of APIs. 'We are pleased to have received the GMP certification from TGA for our Dabhasa facility, This reflects the high standard of our manufacturing practices and expertise of our team at Dabhasa,' Dr. Abdelaziz Toumi, Chief Executive Officer, Lupin Manufacturing Solutions said in a release. 'As we continue to expand our global footprint, we remain focused on quality, compliance, and the highest standards of operational integrity, setting new benchmarks in the CDMO space,' Dr Toumi added. UNI KNR BM
Zawya
a day ago
- Business
- Zawya
AWS WAF reduces web application security configuration steps and provides expert-level protection
Dubai, UAE – AWS has announced general availability of the AWS WAF simplified console experience that reduces web application security configuration steps by up to 80% and provides expert-level protection to help optimize application security. AWS WAF helps protect web applications and APIs against common web exploits and bots that could affect availability, compromise security, or consume excessive resources. Security teams can now implement comprehensive protection for applications within minutes through pre-configured protection packs that incorporate AWS security expertise and are continuously updated to address emerging threats. These templates provide extensive security coverage including protection against common web vulnerabilities, malicious bot traffic, application layer DDoS events, and API-specific threats, all customized to your application type. With the new console experience, select the application type, such as E-commerce platforms or transaction processing applications, to automatically apply expert-curated protection rules optimized for the specific use case. The unified dashboard provides consolidated security metrics, threat detection, and rule performance data, enabling security teams to quickly identify and respond to potential threats while maintaining full security control. Key security controls, including rate limiting, geographic restrictions, and IP reputation filtering, can be customized through an intuitive single-page interface that reduces configuration time. The new AWS WAF console experience is available in all AWS Regions. About Amazon Web Services Since 2006, Amazon Web Services has been the world's most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 114 Availability Zones within 36 geographic regions, with announced plans for 16 more Availability Zones and five more AWS Regions in Chile, New Zealand, the Kingdom of Saudi Arabia, Taiwan, and the AWS European Sovereign Cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth's Most Customer-Centric Company, Earth's Best Employer, and Earth's Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit and follow @AmazonNews.
Business Times
2 days ago
- Business
- Business Times
Security and compliance among concerns of banks in granting API access to fintechs
[SINGAPORE] Security and compliance concerns are top of the list when Singapore's brick-and-mortar banks decide whether to grant fintechs Application Programming Interface (API) access to the financial data, particularly that of the banks' small and medium-sized enterprises' (SME) clients. DBS, OCBC and UOB told The Business Times that they provide API access to only certain fintech platforms. BT understands that a critical mass of customers is needed before API access is considered, and that some banks provide this access for free to some platforms by bearing the costs of maintaining the API. APIs are sets of protocols that allow for different software programs to talk and exchange data. Fintechs, such as those seeking to give loans to SMEs, which have been barred from accessing the banks' client data have resorted to manually processing spreadsheets and pdf documents from their SME customers. The process would be much smoother if these fintechs are able to just pull the data from their customers' banks. Think tank Fintech Nation on Jul 7 released a report highlighting this lack of API access to fintechs, which could hamper the growth of financial services for SMEs. OCBC has set up API connections for fintech platforms with a more than 30 per cent share of total API calls, said Adriano Ortega, head of implementation and client services, global transaction banking at OCBC. BT in your inbox Start and end each day with the latest news stories and analyses delivered straight to your inbox. Sign Up Sign Up 'When evaluating potential API connectivity with other parties, several key considerations come into play. These include the strength of the other party's cybersecurity risk-management capabilities and the commercial viability of the business-use case,' he said. Connecting via API has to provide meaningful benefits to OCBC's business customers, while still maintaining security and reliability. For DBS, data privacy is a key concern in whether the bank would open up API access to a platform. This is to ensure that information accessed is used responsibly. 'DBS has guardrails in place to ensure that only platforms with robust data privacy infrastructure can access our customers' data. We provide access to our customers' data via API integrations to platforms which meet these standards, and have done so for several years,' said a DBS spokesperson. UOB offers API access for customers to support specific business operations. The bank did not elaborate which operations these were. 'Our active push for client digitalisation is in line with the nation-wide acceleration for enhanced digital connectivity. We also work together with the government and the industry to spearhead initiatives that advance the payment landscape,' said a UOB spokesperson. The Monetary Authority of Singapore (MAS) views credit – including that given to SMEs – as a key function of the financial sector. The regulator says it regularly reviews the potential to enhance both banks' and non-traditional lenders' ability to underwrite loans; it does so by tapping various available data sources while maintaining financial stability. MAS says that it is engaging banks, alternative lenders and SMEs as part of the review, and will welcome solutions from the industry. 'To deliver meaningful outcomes for SMEs, the proposed solutions must be commercially viable and sustainable, while carefully balancing costs and benefits for all parties involved,' said a MAS spokesperson.
Time of India
4 days ago
- Automotive
- Time of India
It's about scaling with intelligence, making AI and Cloud work for the business, the customer, and the future
HighlightsMahindra leverages a multi-cloud strategy to provide flexibility, avoid vendor lock-in, and deliver business-specific solutions, enabling businesses to choose the best cloud for their needs securely and efficiently. AI and GenAI are deeply embedded across customer journeys, manufacturing, call centers, and internal productivity, with a focus on solving real business problems, not just experimentation. Adoption of microservices, robust APIs, Kubernetes, DevSecOps, and MLOps platforms ensures agility, scalability, and interoperability of workloads across cloud and on-premises environments. Instead of centralizing data into one cloud, Mahindra employs a data mesh architecture, keeping data in source systems but federating it when needed for specific use cases like hyper-personalization or predictive analytics. A strong culture of AI adoption, leadership-backed lighthouse projects, internal GenAI platform (Mahindra AI Platform), and rigorous governance (including FinOps and regulatory compliance) drive trust and sustained innovation. At a pivotal juncture in the enterprise technology landscape, where the race to weave artificial intelligence into the very fabric of business has escalated beyond experiments to boardroom imperatives, one principle stands out: behind every successful AI-driven transformation lies a robust, future-ready cloud strategy one that is agile, secure, scalable, and resilient. In this story, to understand how Mahindra & Mahindra, one of India's most iconic and diversified conglomerates, is embracing this challenge with a visionary multi-cloud and AI strategy. At the helm of this transformation is Aarti Singh, Enterprise CIO at Mahindra, who shares her insights with ETCIO DeepTalks on balancing innovation with governance, and speed with trust. Building business value on a cloud-agnostic foundation For Mahindra, the north star of technology has always been clear, creating seamless customer and employee journeys that deliver business value. To enable this, Mahindra has chosen to be cloud agnostic, leveraging the unique capabilities of AWS , Azure, and Google Cloud simultaneously. 'Being cloud agnostic allows us to bring services and solutions to customers and employees faster and securely. Each cloud offers distinct advantages, be it supply chain solutions, factory automation, or compute, and our role as an enterprise is to make these certified, secure services available for our businesses to choose from,' explains Aarti. This approach ensures flexibility and neutrality, empowering Mahindra's diverse businesses, spanning mobility, finance, holidays, and engineering to select the most suitable cloud for their needs, without being locked into a single provider. Why flexibility and mobility matter more than ever In sectors like mobility, logistics, and pharmatech, speed and adaptability are now competitive differentiators. Aarti points out that while large-scale enterprise applications like SAP or PLM are strategic and take time to implement, the need for agility in customer-facing solutions has made cloud a cornerstone of their strategy. 'You don't want to be tied to one technology or cloud. Sometimes, cloud-native services make sense for speed and cost, while in other cases, you need portability and mobility to pick the best available innovation,' Aarti notes. To the board and CFOs, Mahindra frames its cloud decisions around business outcomes, faster sales processes, more effective teams, scalable operations and not just technology investments. Architecting the future: Microservices, AI, and DevSecOps Underpinning Mahindra's multi-cloud strategy is a modern architecture that prioritizes microservices, robust APIs, and mobile-first design. 'We are moving toward a headless, microservices-based architecture that allows plug-and-play capabilities, enabling us to embed AI and GenAI into everything we build from chatbots on websites to intelligent automation in manufacturing,' says Aarti. This is complemented by a strong DevSecOps culture, ensuring secure and efficient development cycles, and a push toward test automation and CI/CD pipelines. Balancing public cloud scalability with private control While Mahindra benefits from the scalability and elasticity of public clouds, especially during peak loads, certain sensitive workloads and defense-related data remain on-premises to ensure sovereignty and compliance. 'For GenAI workloads, for instance, we've built an internal AI platform where employees can safely upload and summarize data without it leaving our environment,' Aarti explains. This careful balance between scalability and control extends to Mahindra's data strategy, which favors a federated data mesh approach. Rather than centralizing all data into one cloud, Mahindra keeps data in source systems and brings it together only when needed for specific AI use cases like hyper-personalization or predictive analytics. AI at scale from experiments to outcomes Central to Mahindra's strategy is the AI lifecycle, from data collection and model training to deployment and continuous learning, all governed by strong observability, governance, and compliance with regulations like India's DPDP Act and GDPR. Aarti underscores that trust remains a cornerstone in scaling AI. 'It starts with building confidence in the outcomes and picking the right business problems to solve. Once the right use cases are chosen, scaling becomes much easier,' Aarti reflects. To support this, Mahindra has invested in a horizontal AI team, a robust MLOps platform, and training programs to embed AI into the DNA of the organization. Across businesses, AI and GenAI are already being used in chatbots, hyper-personalization, computer vision in manufacturing, and agentic technologies in call centers. Mastering complexity with fin-ops, open source, & interoperability With a multi-cloud footprint comes the challenge of managing costs and complexity. Mahindra has tackled this with an in-house FinOps platform, active governance, and automation to ensure resources are used efficiently. On the technology side, open-source adoption, event-driven architectures, and containerization through Kubernetes enable interoperability and composability. As Aarti points out, 'Kubernetes gives us the flexibility to move workloads between clouds seamlessly, while MLOps standardizes AI workflows for data scientists across the enterprise.' The cultural transformation of AI as everyone's job Perhaps the most striking aspect of Mahindra's journey is its cultural shift toward embracing AI at every level. 'Our vision is to scale AI and embed it into everyone's work. From leadership sponsorship to lighthouse projects to individual learning, everyone is encouraged to adopt and experiment with AI,' Aarti shares. Employees are trained not just to use AI tools but to master techniques like prompting effectively to fully leverage GenAI's potential. Investments that matter Over the past 12–18 months, Mahindra has made significant investments: Building the Mahindra AI Platform, an internal GenAI-enabled GPT for data platforms across its horizontal AI and data science lighthouse AI projects with direct business in AI-driven cybersecurity and developer productivity tools. Leading with purpose and agility When asked how Mahindra benchmarks itself against peers like Tata , Reliance, and L&T, Aarti confidently asserts that the group's strategic focus and outcome-driven approach set it apart. 'We have an edge in speed of decision-making, business diversity, and an ecosystem mindset. Our strategy is not about hobby experiments, it's about scaling AI with purpose,' Aarti affirms. Looking ahead, she sees tremendous promise in customer-facing AI journeys, developer productivity platforms, AI-enhanced cybersecurity, voice and facial interfaces, and agentic technologies. Lessons in leadership For Aarti, the biggest leadership lesson in scaling AI has been about trust and focus. 'You must pick the right problems to solve and build trust in the outcomes. Once you do that, success follows,' Aarti concludes. Mahindra's multi-cloud and AI strategy is more than a technical playbook, it's a blueprint for how large, diversified enterprises can lead with clarity, agility, and purpose in an increasingly complex digital ecosystem. By balancing scalability with sovereignty, innovation with governance, and experiments with outcomes, Mahindra is not just keeping pace with the AI revolution, it's setting the pace. In Aarti Singh's words, 'It's about scaling with intelligence, making AI and cloud work for the business, the customer, and the future.'
