Sakura Sky

AI is Transforming Financial Services—Are You Ready? 2025 will see AI power 95% of customer interactions in financial services, and AI-driven automation is reshaping fraud detection, compliance, and risk management. At Sakura Sky, we help financial institutions harness Google Cloud AI, Enclave, and Sentinel to stay ahead in this AI-driven revolution. In our latest blog, we break down the top AI trends shaping financial services in 2025, including: ? Multimodal AI – Enhancing trading strategies & risk management with real-time financial intelligence ? AI Agents – Automating underwriting, compliance audits, and customer interactions ? Assistive AI Search – Revolutionizing how analysts retrieve financial insights ? Fraud Detection & Security – AI-powered fraud prevention with Sentinel & BigQuery ML ? Hyper-Personalized Banking – Delivering AI-driven, real-time financial experiences ?? Read the full blog and future-proof your AI strategy: https://lnkd.in/eAsNicXA #AI #FinancialServices #Fintech #MachineLearning #CloudComputing #FraudDetection #SakuraSky #GoogleCloud #CyberSecurity #BankingInnovation

AI is redefining financial services in 2025. Are you ready? From multimodal AI to next-gen fraud detection and hyper-personalized customer experiences, AI is transforming how financial institutions operate. We’ve partnered with Google Cloud to bring you an exclusive eBook on the top AI trends shaping financial services in 2025—and what they mean for your business. ?? Inside, you'll discover: ? The AI innovations set to disrupt finance this year ? How leading firms are using AI to stay competitive ? Expert insights from Google Cloud ?? Get your free copy now: https://lnkd.in/ec6NM4AA #AI #FinancialServices #Fintech #Cloud #MachineLearning #ArtificialIntelligence #SakuraSky #GoogleCloud

??Honored to join the community of executive leaders at Dreamers & Doers?, who are dedicated to achieving significant business goals together. Excited by the opportunity to transform mutual support into a competitive advantage! As the co-founder of Sakura Sky and a tech industry professional, I've spent years helping startups and large corporations innovate and expand using Cloud, Data, and AI.? I've learned so much on this journey, including the importance of surrounding yourself with intelligent, focused, and like-minded individuals when scaling a business. I'm eager to continue learning and sharing my knowledge as a tech founder through PR and thought leadership with the team at Dreamers & Doers!

I had the opportunity to join the Hot or Hype podcast again, but this time to discuss AI Agents—a topic that's reshaping how we think about automation and decision-making. During the conversation, we explored what makes AI Agents distinct from traditional automated systems and reflected on both the challenges and opportunities they bring. Check out the blog post and share your thoughts on how you see AI Agents impacting our work in the future: https://lnkd.in/di4Am9TP #AI #Innovation #Podcast #FutureOfWork

Our team just took a Deep Dive into AI-Driven Predictive Analytics—one of the hottest (and sometimes overhyped) topics in tech right now. Curious to learn more? Watch the Deep Dive on our to get our honest take and find out what’s coming next in our “Hot or Hype” series. https://lnkd.in/erBJAE4e Have questions or your own experiences to share? Drop a comment below—let’s keep the conversation going!

Is AI-Driven Predictive Analytics Hot or Just Hype? In the first episode of our Hot or Hype series, we take a critical look at AI-powered forecasting. From real-world applications to technical challenges, we explore whether predictive analytics is truly transforming industries—or just another fleeting trend. Watch the episode here ?? https://lnkd.in/d-7ewXDX #AI #PredictiveAnalytics #DataScience #MachineLearning #CloudComputing #HotOrHype

?? Optimizing Cloud Costs with a FinOps-Driven Approach ?? Cloud spending is a double-edged sword: it drives innovation but can easily spiral out of control without the right strategy. That’s why every quarter, I lead GCP cost reviews for our projects, helping uncover savings opportunities, align resources with business goals, and build a foundation for long-term efficiency. In my latest blog, I share a step-by-step framework for GCP cost optimization, aligned with FinOps principles like transparency, accountability, and continuous improvement. It includes actionable templates, tools, and real-world examples, covering areas like: ?? Rightsizing resources for better efficiency ?? Automating storage lifecycle policies ?? Optimizing BigQuery queries for smarter spend This isn’t just about cutting costs—it’s about creating an environment where cloud investments drive maximum value and innovation. Check out the blog here https://lnkd.in/e77uaGEX and let me know your thoughts! How are you integrating FinOps practices into your cloud management strategy? #FinOps #CloudComputing #GCP #CostOptimization #CloudEfficiency

?? Scaling AI with Ray and Vertex AI: A Complete Solution ?? As data engineers, we’re constantly looking for ways to scale AI solutions without sacrificing flexibility or performance. That’s why I’ve been exploring the combined power of Ray and Vertex AI. Ray’s distributed computing framework excels at handling intensive training, hyperparameter tuning, and batch inference workflows, while Vertex AI provides a robust platform for managing deployment, monitoring, and cloud infrastructure. Together, they create a seamless, end-to-end solution for scalable AI projects. In my latest blog post, I break down: ?? How Ray and Vertex AI complement each other. ?? Practical use cases across industries like banking, eCommerce, and gaming. ?? Python code examples for distributed training, hyperparameter tuning, and model deployment. If you’re looking for insights into combining these tools for real-world AI workflows, this one’s for you. Check it out here: https://lnkd.in/dUQVgBzg Have you worked with Ray or Vertex AI? I’d love to hear about your experiences or tips in the comments! #AI #MachineLearning #DataEngineering #DistributedSystems #VertexAI #RayFramework

Scaling AI models effectively is a challenge many of us in the data and AI space encounter. Whether it’s ensuring cost-efficient training for complex models or deploying them seamlessly to serve millions of requests in real-time, the process requires not just technical precision but also a robust strategy. In my latest blog, I share some thoughts on scaling AI in the cloud — from using Kubernetes and MLOps for flexible deployments to implementing cost optimization strategies for dynamic workloads. I’ve also taken a peak at how industries like banking, eCommerce, gaming, and food and beverage are leveraging these best practices to address their unique challenges. If you’re navigating this landscape or looking to refine your approach, this article may resonate with you - at least it's a place to start the journey. Let me know your thoughts, or feel free to share how your team is tackling similar challenges. ?? https://lnkd.in/eQMzgWQ3 #AI #CloudComputing #DataEngineering #MLOps #AIInfrastructure

?? Key Insights from the 2024 DORA Report The 2024 DORA report highlights critical trends and challenges shaping modern software delivery. For data engineers, architects, and DevOps professionals, this year’s findings emphasize the transformative potential of AI, platform engineering, and cloud-native practices. ?? Key takeaways: AI Trust Gap: 39% of respondents report low trust in AI. Transparency and reliability are essential to unlock its full potential. Platform Engineering: A game-changer for productivity, but only when aligned with team workflows. Cloud-Native Practices: Migrating to the cloud isn’t enough—adopting flexible infrastructure is critical for success. User-Centricity: Teams focused on end-user needs deliver better products and avoid burnout. Stable Objectives: Consistency in organizational priorities boosts performance and well-being. Take a look at the strategies and actionable steps for technical teams in my latest blog: https://lnkd.in/efrBaDFK What are your thoughts on these findings? How is your team adapting to these trends? Let’s discuss! #DORA2024 #DevOps #AI #CloudNative #DataEngineering #SoftwareDelivery