Latest news with #APIs
Mid East Info
9 hours ago
- Business
- Mid East Info
Ericsson announces completion of Aduna transaction - Middle East Business News and Information
Aduna now a 50:50 joint venture: 50 percent owned by Ericsson and 50 percent owned by twelve communications service providers (CSPs). Aduna has been operational since its formation announcement on September 11, 2024. Aduna ecosystem comprises CSP, major developer platform companies, global system integrators (GSI), communication platform as a service (CPaaS) companies, and independent software vendor (ISV) partners. Ericsson (NASDAQ: ERIC) announces the completion of the equity investments by twelve global communication service providers (CSPs) into its subsidiary Aduna, formally establishing Aduna as a 50:50 joint venture. Aduna was created to combine and sell aggregated network Application Programming Interfaces (APIs) globally. It has been operational since the deal signed on 11 September 2024. Aduna is now owned by AT&T, Bharti Airtel, Deutsche Telekom, Ericsson, KDDI, Orange, Reliance Jio, Singtel, Telefonica, Telstra, T-Mobile, Verizon and Vodafone. In addition to funding and commercial agreements, the shareholders bring to Aduna a wealth of support in the industry, including through telecom operator relationships, knowledge of the developer community, and expertise in network APIs. Ericsson also contributed its global network platform, on which Aduna will build and refine its offering. Ericsson holds 50 percent of the venture equity, with the remaining 50 percent held by the above-named CSPs combined. Aduna CEO, Anthony Bartolo, says: 'The closing of the transaction is another important step for Aduna. In just ten months we have built an impressive ecosystem comprising the biggest names in telecoms and the wider ICT industry. The closing provides renewed motivation for Aduna to accelerate the adoption of network APIs by developers on a global scale. This includes encouraging more telecom operators to join the new company, further driving the industry and developer experience.' In addition to the founding venture partners, the rapidly-expanding Aduna ecosystem includes a diverse range of technology and collaboration partnerships. These span additional CSPs worldwide, as well as major developer platform companies, global system integration (GSI) companies, communication platform-as-a-service (CPaaS) companies, and independent software vendor (ISV) companies. To date these include: e&, Bouygues Telecom, Free, CelcomDigi, Softbank, NTT DOCOMO, Google Cloud, Vonage, Sinch, Infobip, Enstream, Bridge Alliance, Syniverse, JT Global, Microsoft, Wipro and Tech Mahindra – each playing a vital role in advancing the reach and impact of network APIs worldwide.
The Sun
2 days ago
- Health
- The Sun
Trump signs order to ensure 'resilient' supply chain for essential medicines in US
U.S. PRESIDENT Donald Trump signed an executive order aimed at ensuring a 'resilient' supply chain for essential medicines in the U.S. by filling the Strategic Active Pharmaceutical Ingredients Reserve (SAPIR) with critical drug components, the White House said on Wednesday. The Office of the Assistant Secretary for Preparedness and Response within the Department of Health and Human Services is tasked with developing a list of about 26 critical drugs vital to 'national health and security', the White House said in a fact sheet. 'The Order directs the Office ... and ready the SAPIR repository to receive and maintain the Active Pharmaceutical Ingredients (APIs) used to make these critical drugs.' - REUTERS
Yahoo
2 days ago
- Business
- Yahoo
Akamai and LevelBlue Launch Managed Web App, API Protection Services
Akamai Technologies, Inc. AKAM has teamed up with LevelBlue to enhance web application and API (application programming interface) security with the launch of LevelBlue's Managed Web Application and API Protection (WAAP) service. The new service delivers adaptive, always-on protection aimed at reducing risk and operational overhead, powered by Akamai's App & API Protector technology. It integrates next-generation web application firewall (WAF), distributed denial-of-service (DDoS) mitigation, bot protection and core API security, backed by LevelBlue's dedicated WAAP Operations team. The launch comes as organizations worldwide accelerate their use of applications and APIs to support digital-first strategies. According to Enterprise Strategy Group, the average number of web apps per company is set to rise from 145 to more than 200 in two years, while API usage will grow dramatically, with 80% of organizations expected to have more than half their applications connected via APIs, up from 32%. This surge brings new challenges, including discovering app and API deployments, scaling protections, swiftly mitigating attacks and ensuring performance remains unaffected. Many companies also face staffing shortages and a growing skills gap, with half of midmarket organizations finding web app and API security harder now than two years ago. Akamai Technologies, Inc. Price and Consensus Akamai Technologies, Inc. price-consensus-chart | Akamai Technologies, Inc. Quote LevelBlue highlighted that by combining LevelBlue's operational expertise with Akamai's proven technology, it is offering a simplified, consolidated and predictable approach to protection, helping organizations stay ahead of threats and build cyber resilience. LevelBlue Managed WAAP is available in two tiers—Essential and Advanced. The service offers 24/7 access to WAAP specialists, automated discovery and classification of critical web apps and APIs, AI-powered threat detection and streamlined security management aligned with DevOps workflows. The solution aims to help organizations automatically secure sensitive assets, adapt quickly to emerging attack vectors and reduce false positives through expert-led policy tuning. Akamai is actively pursuing the opportunity. With the acquisitions of Neosec and Noname Security, Akamai has accelerated the advancement of its AI-powered API security solution. By leveraging AI capabilities, the solution effectively analyzes APIs, detects vulnerabilities and minimizes risks. With the growing use of APIs, the demand for such solutions is poised to rise among enterprises. These strategic initiatives are expected to drive commercial expansion and generate long-term benefits. On July 29, 2025, Akamai announced that it formed a collaboration with Aqua Security. With this partnership, the companies aim to work on developing an integrated solution to ensure comprehensive protection for AI applications. Recently, Akamai reported strong second-quarter 2025 results, with both the top and bottom lines surpassing the Zacks Consensus Estimate. The company reported a top-line expansion year over year, driven by healthy demand trends in multiple end markets. Strong demand for the Guardicore platform, API security solutions and cloud infrastructure services is a key growth driver. For 2025, Akamai expects revenues in the range of $4.135 billion to $4.2 billion. It expects a non-GAAP operating margin of 29%. Non-GAAP earnings are projected to be in the range of $6.60-$6.80 per share. Zacks Rank & Share Price Performance Akamai currently has a Zacks Rank #3 (Hold). Shares of AKAM have plunged 26.6% in the past year against the Internet – Services industry's growth of 27.3%. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Image Source: Zacks Investment Research Stocks to Consider From the Internet Services Space Some better-ranked stocks from the broader technology space are Crexendo, Inc. CXDO, Sprout Social, Inc. SPT and HealthStream, Inc. HSTM. CXDO, SPT and HSTM carry a Zacks Rank #2 (Buy). Crexendo's earnings beat the Zacks Consensus Estimate in each of the trailing four quarters, with the average surprise being 30.83%. In the last reported quarter, CXDO delivered an earnings surprise of 50%. Its shares have increased 17% in the past year. Sprout Social's earnings beat the Zacks Consensus Estimate in each of the trailing four quarters, with the average surprise being 25.42%. In the last reported quarter, SPT delivered an earnings surprise of 20%. Its shares have plunged 56.6% in the past year. HealthStream, Inc. (HSTM) earnings beat the Zacks Consensus Estimate in three of the trailing four quarters, with the average surprise being 20.35%. In the last reported quarter, HSTM delivered an earnings surprise of 12.5%. Its shares have decreased 4.1% in the past year. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Akamai Technologies, Inc. (AKAM) : Free Stock Analysis Report HealthStream, Inc. (HSTM) : Free Stock Analysis Report Crexendo Inc. (CXDO) : Free Stock Analysis Report Sprout Social, Inc. (SPT) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
6 days ago
- Business
- Forbes
Business Tech News: OpenAI Releases It's Latest And Greatest Version Of ChatGPT
Here are five things in tech that happened this week and how they affect your business. Did you miss them? This Week in Business Tech News Business Technology News #1– ChatGPT-5 is here. GPT-5, launched this week, is OpenAI's flagship model now powering ChatGPT, the API, and Microsoft Copilot. It represents a unified system that dynamically adapts its reasoning power to tasks like coding ('vibe coding'), math, and software development, eliminating the need for users to manually switch between model variants. GPT-5 delivers faster, more accurate, and more reliable responses with fewer hallucinations and elevated factuality. It supports multimodal interaction—text, image, and voice—and brings personalization enhancements like customizable 'personalities,' color themes, and integrations with Gmail and Google Calendar. While it is not AGI, GPT-5 offers notable steps toward artificial general assistance by providing more natural, context-aware, and personalized interactions. (Source: OpenAI) Why this is important for your business: It's been a two year wait, but early reviews say it's worth it. No business owner should be without a good chatbot companion, be it ChatGPT, Claude, Copilot, Grok, Gemini or others. GPT-5's biggest benefits – at least for me – is its accuracy. I already use a few chatbots to review contracts, summarize long documents, parse through interview transcripts and help me create policies and other business documents. I'll be leaning more on GPT-5 over the coming months and expect its performance to be that much better. Business Technology News #2 – Epicor expands cognitive ERP capabilities to optimizes supply chain and tax management. Epicor has announced strategic partnerships with SourceDay and Sovos to enhance its Epicor Kinetic ERP platform for manufacturers, which, according to the company will contribute towards advancing its vision of Cognitive ERP – an AI-driven approach that transforms ERP systems from passive record-keeping tools into proactive, intelligent systems of action that enable real-time data analysis. SourceDay integration automates and digitizes the entire purchase order lifecycle and improves supplier collaboration and data accuracy. Sovos enhances tax compliance capabilities while supporting automated tax reporting and regulatory adherence. (Source: Epicor) Why this is important for your business: Epicor, like many great ERP system providers are not only enhancing their AI offerings but partnering companies to fully leverage AI's benefits. Too many small and mid-sized businesses ignore these benefits are claim that they don't have enough time to implement them and I couldn't disagree more. Learning how to use these features and then investing the time and resources into getting them operational will have significant long term effects on both productivity and profitability. Regardless of whether you use Epicor, it's critical to dig into the features and functionality your business system provider is rolling out (or planning) and leaning into them. Business Technology News #3 – Zuckerberg: superintelligence is now in sight. Meta CEO Mark Zuckerberg published a post that shared Meta's vision to 'bring personal superintelligence to everyone.' Personal superintelligence – a deeply personalized AI assistant designed to help individuals achieve their goals, foster creativity, and enhance social connection – is a shift away from productivity-focused AI such as ChatGPT. Meta aims to deliver superintelligence through smart glasses and AR/VR headsets, which will become the 'primary computing devices' of the future. (Source: Meta) Why this is important for your business: 'Superintelligence has the potential to begin a new era of personal empowerment where people will have greater agency to improve the world in the directions they choose,' Zuckerberg said. Here's my concern: no one really knows what this means. I'm not sure Mark Zuckerberg even knows the full implications of superintelligence. I'm not going to predict what superintelligence means for business yet. Because, like everyone else, I don't fully know the implications either! Business Technology News #4 – FBI warns of a particular scam involving QR codes. The FBI has issued a public alert about a new scam where criminals send unexpected packages containing malicious QR codes designed to steal personal data or install malware. Packages are sent to recipients who didn't place the order. Inside or on the package is a QR code that appears to offer tracking info or delivery verification. Scanning the code may either redirect the recipient to phishing websites or prompt them to enter personal/financial information. Malware can also be immediately downloaded to the device used to scan the QR code. (Source: Digital Trends) Why this is important for your business: According to Trevor Mogg of Digital Trends this is a dangerous twist on the older 'brushing scam', where vendors sent unsolicited items to boost fake reviews. Now, the goal is data theft and fraud. The FBI is advising people not to scan QR codes from unknown packages or sources; inspect packages carefully; preview QR links with suspicious URLs; and secure devices with antivirus software. Business Technology News #5 – Walmart doubles down on GenAI as retail giant builds breakthrough tech to shape future of retail. Walmart is accelerating its investment in Generative AI (GenAI) and agentic AI technologies to revolutionize how retail software is built and deployed – aiming for greater autonomy, speed, and innovation across its operations. The company is transitioning from basic automation to fully autonomous workflows. GenAI is being used to reimagine the software development lifecycle, boosting developer productivity and innovation. Walmart sees GenAI as foundational to next-gen retail tech and is actively scouting visionary startups that can contribute to this transformation. (Source: Retail Technology Innovation Hub) Why this is important for your business: If you're in retail, it's important to keep up to date on what the big box retailers are doing with AI. Ultimately their actions will filter down to smaller chains and stores. As important as GenAI is right now I'm expecting that retailers will be leaning heavily into robotics, point-of-sale and payment technologies leveraging AI in the years to come. Each week I round up five business technology news stories and explain why they're important for your business. If you have any interesting stories, please post to my X account @genemarks
Geeky Gadgets
07-08-2025
- Business
- Geeky Gadgets
How Context Engineering Can Make Any AI 100x Smarter
What if the AI tools you rely on could become not just smarter, but exponentially more effective? Imagine an AI assistant that doesn't just follow instructions but intuitively understands your needs, pulling in the right data at the right time to deliver results that feel almost human. Bold claim? Perhaps. But the secret lies in a innovative approach called context engineering—a method that goes beyond traditional prompt engineering to create dynamic, context-rich environments where AI thrives. This isn't just a tweak; it's a paradigm shift that can make any AI system 100x more useful in your daily workflows. Rick Mulready explores how context engineering transforms AI from a tool that merely responds to commands into a proactive, personalized assistant. You'll discover how integrating dynamic data sources, APIs, and real-time feedback can elevate your AI's performance, whether it's crafting tailored customer emails, analyzing complex datasets, or automating tedious tasks. More than just a technical guide, this is your roadmap to unlocking the full potential of artificial intelligence—one that promises not just efficiency but genuine innovation. The possibilities are vast, and the key to unlocking them might be simpler than you think. Understanding Context Engineering What is Context Engineering? Context engineering involves creating workflows that provide AI systems with the right information at the right time. Unlike prompt engineering, which focuses on crafting specific instructions, context engineering integrates dynamic data sources, APIs, and knowledge bases into the AI's operational framework. This ensures that the AI can access and process relevant information, resulting in outputs that are more accurate, personalized, and actionable. For instance, consider an AI tasked with drafting customer emails. By integrating data from a CRM tool like HubSpot, the AI can access details about past interactions, customer preferences, and pain points. This dynamic approach enables the AI to produce tailored responses that go beyond generic templates, improving customer engagement and satisfaction. How Context Engineering Differs from Prompt Engineering While prompt engineering focuses on crafting precise instructions for an AI model, context engineering takes a broader and more holistic approach. It establishes an ecosystem where the AI operates, making sure that all necessary data and tools are readily available. Prompt engineering remains an essential component within this framework, as well-crafted prompts guide the AI within the context you establish. For example, if you're using an AI tool like MindPal to summarize reports, prompt engineering might involve asking the AI to 'summarize the key points of this document.' Context engineering, however, ensures the AI has access to related documents, historical data, and user preferences. This enables the AI to produce summaries that are not only concise but also nuanced and comprehensive, reflecting a deeper understanding of the task. How Context Engineering Transforms AI into Smarter Assistants Watch this video on YouTube. Learn more about Context Engineering with the help of our in-depth articles and helpful guides. Applications in Business Workflows Context engineering offers practical benefits across a wide range of business processes. By integrating AI with tools such as Google Sheets, Airtable, or N8N, you can automate workflows, enhance decision-making, and improve overall productivity. Here are some key applications: Customer Relationship Management (CRM): AI can analyze CRM data to craft personalized marketing campaigns, customer support responses, or sales strategies. AI can analyze CRM data to craft personalized marketing campaigns, customer support responses, or sales strategies. Data Analysis: By connecting to dynamic data sources like spreadsheets or databases, AI can provide real-time insights, trend analyses, and actionable recommendations. By connecting to dynamic data sources like spreadsheets or databases, AI can provide real-time insights, trend analyses, and actionable recommendations. Content Creation: AI tools can generate tailored content by accessing relevant knowledge bases, user feedback, and contextual data. For example, using you can create workflows where AI agents automatically update Google Docs with real-time data from Airtable or other sources. This streamlines collaboration, reduces manual effort, and ensures that team members always have access to the most up-to-date information. Balancing Context for Optimal Results Providing the right amount of context is critical for achieving optimal AI performance. Too much context can overwhelm the AI, increasing processing costs and leading to irrelevant or redundant outputs. Conversely, insufficient context results in generic and less effective responses. The REAL framework—Relevant, Efficient, Accessible, Logical—offers a practical guideline for striking the right balance: Relevant: Include only information directly related to the task at hand to avoid unnecessary complexity. Include only information directly related to the task at hand to avoid unnecessary complexity. Efficient: Ensure the context is concise and easy for the AI to process without overloading its capabilities. Ensure the context is concise and easy for the AI to process without overloading its capabilities. Accessible: Make data readily available through APIs, integrations, or structured workflows. Make data readily available through APIs, integrations, or structured workflows. Logical: Structure the context in a way that aligns with the AI's processing logic, making sure clarity and coherence. By adhering to these principles, you can ensure that your AI systems deliver precise, actionable, and meaningful results, regardless of the complexity of the task. Advanced Concepts in Context Engineering As workflows and business needs evolve, the context provided to AI systems must also adapt. This concept, known as context evolution, ensures that AI systems become smarter and more specific with each iteration. Learning systems play a pivotal role in this process, incorporating feedback to refine the context over time. For example, an AI feedback loop can analyze errors or inefficiencies in its outputs and adjust the context accordingly. This iterative process not only minimizes issues such as hallucinations or inaccuracies but also enhances the overall relevance and accuracy of the AI's outputs. Over time, this continuous refinement allows the AI to align more closely with your specific goals and requirements. Limitations of Context Engineering Despite its many advantages, context engineering is not without limitations. Issues such as hallucinations or factual inaccuracies can still occur, particularly if the underlying data is flawed or incomplete. Additionally, well-crafted prompts remain essential for guiding the AI within the context you provide. For instance, even with advanced tools like N8N or MindPal, ambiguous or poorly defined instructions can lead to misinterpretation. This highlights the importance of combining strong prompt engineering with robust context engineering to achieve reliable and effective results. A balanced approach ensures that the AI operates within a well-defined framework while maintaining the flexibility to adapt to dynamic inputs. Practical Tools for Context Engineering Several tools can help you implement context engineering effectively in your workflows. These include: Automates workflows by connecting AI systems to various apps and data sources, allowing seamless data integration. Automates workflows by connecting AI systems to various apps and data sources, allowing seamless data integration. MindPal: Enhances AI personalization by integrating dynamic knowledge bases and user-specific data. Enhances AI personalization by integrating dynamic knowledge bases and user-specific data. N8N: Assists workflow automation with customizable integrations, allowing for tailored solutions. Assists workflow automation with customizable integrations, allowing for tailored solutions. HubSpot: Provides CRM data for personalized customer interactions and marketing strategies. Provides CRM data for personalized customer interactions and marketing strategies. Airtable: Serves as a dynamic database for real-time AI updates and collaborative data management. Serves as a dynamic database for real-time AI updates and collaborative data management. Google Docs: Enables collaborative content creation with AI-generated inputs, streamlining team workflows. By using these tools, you can build a robust context engineering framework that enhances the capabilities of your AI systems, making sure they deliver high-quality, actionable outputs. Why Context Engineering Matters Incorporating context engineering into your AI workflows is essential for unlocking the full potential of artificial intelligence. By providing dynamic, relevant, and efficient context, you can improve the quality, personalization, and reliability of AI outputs. This approach not only enhances productivity but also gives your business a competitive edge in an increasingly AI-driven world. Whether you're automating routine tasks, analyzing complex data, or crafting personalized customer experiences, context engineering ensures that your AI tools deliver meaningful and impactful results. By adopting the right strategies and tools, you can transform your workflows and fully harness the power of artificial intelligence to drive innovation and success. Media Credit: Rick Mulready 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.
