Vidhya Sivakumar

Yesterday, IBM dropped their new WebMethods Hybrid Integration, which brings some cool upgrades around unified API management and orchestration—now with AI to help out. This comes right in line with Gartner's prediction that API demand will jump by about 30% by 2026, mostly thanks to AI and tools using large language models (LLMs). It’s exciting to see how AI is really changing the way we use APIs and making them even more important moving forward.

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TechTarget has "IBM-NASA Surya open source AI model forecasts solar flares The new AI model could improve readiness for surges in solar activities that affect communications systems such as GPS. It also affects space weather forecasts." https://lnkd.in/eMjfBinD. #artificialintelligence #machinelearning #ibm #nasa #research #aimodel #forecast #solarflares #techtarget

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APIs have increasingly become the backbone of modern businesses. APIs have been around almost as long as modern computing. They emerged decades ago as a means to let disparate software applications communicate. And they still fulfill that role today. But APIs have evolved beyond the role of mere interface. In the past decade, they have become the building blocks of modern software and business. Services, devices, tools, technologies, and organizations are more interconnected than ever before, and APIs are the connective tissue linking them. APIs have become such a fundamental area for developers to become skilled in; from building and working with them to testing and optimization. Stay connected to Anuj Arora for content related to Cybersecurity.   #LinkedIn #Cybersecurity #Cloudsecurity #AWS #GoogleCloud #Trends #informationprotection #Cyberthreats #CEH #ethicalhacker #hacking #cloudsecurity #productmanagement #cybersecurity #appsec #devsecops #Cloudstrategy #cloudgovernance #ITIL #Azure #Datasecurity                                                                                                

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Recommend this learning path for technology and business leaders to get a decent ‘grounding’ on Generative AI. A lot of us had picked up knowledge on Generative AI concepts and applications from a variety of sources including Social media, LinkedIn experts and company case studies. This course enables you to unlearn some of the fad and replace/refresh with some solid foundational knowledge. Of course, the coverage is centered on Google's AI offerings but provides a decent benchmark to review others. #GenerativeAI #AILeadership #DigitalTransformation #GoogleCloud #TechStrategy #ExecutiveLeadership #ResponsibleAI #AI

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In this exclusive conversation, Rajarajeswari Rangasamy shares her perspective on the growing importance of autonomous testing in today’s rapidly evolving digital landscape. What caught her interest most at #STEPINSUMMIT2025? Generative AI and its powerful influence on transforming the testing ecosystem. Tune in to hear her insights on how testers and tech professionals can move forward in this new era of intelligent, automated, and adaptive testing. 👉 Watch the full interview to learn more about her vision for the future of testing. #VeritySoftware #Summit2025 #Autonomous #Testing #GenerativeAI

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At #DevSparksHyderabad2025, Kanika Gupta, Solutions Architect at Redis, highlighted that companies need to move beyond the hype and make AI faster, more reliable, accurate, and cost-effective.

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Great blog by Red Hat CPO Ashesh Badani, discusses the emergence of a new AI computing ecosystem, is forming across five layers: experience, orchestration, data, intelligence, and infrastructure, which is reshaping the technology landscape. About Layers: Each layer presents unique challenges and opportunities for providers and enterprises. The experience layer focuses on AI-powered interfaces and personalized AI agents. The orchestration layer is seeing intense competition among software providers. The data layer is crucial for AI success, with vendors building cloud-agnostic solutions. The intelligence layer hosts language models and faces risks such as vendor lock-in and quality control issues. The infrastructure layer is experiencing disruption from new players and sovereign cloud providers. Forces Shaping the AI Computing Ecosystem: 1. NVIDIA has become a dominant power player in the ecosystem. 2. Language models are growing in value, leading to commoditization and specialization. 3. Consumption-based pricing models are becoming more prevalent. 4. Vendors are investing to secure their positions, creating portfolio confusion. 5. AI agents and assistants are forcing integration across systems of record. 6. Service providers are gaining importance as solution orchestrators and operators. 7. Sovereign clouds, data, and AI have become critical national infrastructure. #redhat #nvidia #redhatai #inference

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The next wave of AI evolution brings “agentic AI” or systems that can reason, make decisions, and execute workflows across the enterprise. This starts with a solid foundation: clean data, orchestrated systems, and environments that allow rapid development. From there, the focus shifts from building interfaces to defining outcomes. When AI agents understand intent and desired results, they can handle execution and optimization, freeing teams to focus on higher-value work. The potential is exciting, but success comes from thoughtful integration and clear purpose. #AIIntegration #AITransformation

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From UC4 to SaaS, Automic has been driving automation innovation for more than 25 years. In this blog, @Jennifer Liharik walks through key milestones, from zero-downtime upgrades to AI-powered features, and what’s next for Automic in a cloud-first world. Read it here: https://lnkd.in/dfcJy2-D

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