{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embracing Digital This Week","title":"June 19, 2023","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/aef09a72\"></iframe>","width":"100%","height":180,"duration":301,"description":"Digital Transformation news from the week of June 19, 2023 including stories of managers replacing workers with AI, Cloud outages again, and privacy laws taking a bite out of big tech.#ai, #compute, #edge, #cybersecurity, #datamanagement, #advancedcommsUbiquitous ComputeInformationWeek explores the AI vs. low-code/no-code debate for developers. While low-code/no-code platforms offer simplicity and speed, AI-powered tools bring advanced automation and intelligence. The article delves into the pros and cons of each approach, highlighting how finding the right balance can empower developers and drive innovation in the DevOps realm.https://www.informationweek.com/devops/dos-won-t-hunt-is-ai-better-than-low-code-no-code-for-developers-CRN recounts the top 10 cloud outages of 2023 (so far) in a light-hearted manner. From the 'Cloudy with a Chance of Downtime' to 'The Great Data Storm,' these outages served as unexpected opportunities for cloud users to practice their patience and rediscover the joys of offline activities. It is been a rough winter and spring. Let's hope for clearer skies in the cloud ahead!https://www.crn.com/news/cloud/the-10-biggest-cloud-outages-of-2023-so-far-Oracle experiences impressive cloud revenue growth across industry verticals, fueled by AI adoption. From transforming healthcare with predictive analytics to optimizing supply chains with intelligent automation, Oracle's cloud solutions are empowering businesses across sectors. The future looks bright as AI continues to drive innovation and propel digital transformation.https://www.ciodive.com/news/Oracle-cloud-revenue-growth-industry-verticals-AI/652885/Data ManagementIn the quest for responsible AI, TDWI explores key considerations. From data ethics and bias mitigation to interpretability and accountability, responsible AI requires a holistic approach. Organizations are urged to prioritize transparency, fairness, and human oversight to ensure AI systems serve as trusted and beneficial tools...","thumbnail_url":"https://img.transistorcdn.com/OMDZ8R3YMN-8KwiD79hhPqUlSCyBqnLA5kaoTYZ23oM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84Mjhh/MTIxZWQwMTdkY2Y0/ZWE2ZDA5ZGMwNWIy/NWQ1Zi5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}