Caylent

We are thrilled to announce that we have won three 2024 Amazon Web Services (AWS) Partner of the Year Awards! Caylent is honored to be the winner of: 🏆 Migration Consulting Partner of the Year – Global 🏆 GenAI Industry Solution Partner of the Year – Global 🏆 Industry Partner of the Year – Financial Services – North America “This recognition highlights the incredible work our teams accomplish daily to empower organizations across industries. Winning and being named a finalist in these esteemed categories reflects our commitment to delivering tailored, impactful solutions that leverage the full potential of AWS services. We are grateful to AWS for this acknowledgment and remain focused on driving customer success.” - Lori Williams, CEO Learn more here: https://hubs.li/Q02-4H5P0

Meet Anna Lisboa, a Data Engineer at Caylent who thrives on the ever-evolving nature of her work where no two days are the same! The best part of her job is the people she interacts with, from collaborating with teammates to working with clients. Outside of work, Anna channels her creativity into a salsa dancing production company she founded in Brazil, organizing dance events, practicing, and even sewing costumes. Whether it’s data or dance, she’s always building something extraordinary! 💃✨ Learn more about Anna 👇 #EmployeeSpotlight #WomensHistoryMonth

¡Qué increíble experiencia! Last week, we gathered for our Mexico All Hands, connecting in person with our amazing local Cayliens! 🇲🇽🎉 From strolling through the vibrant streets of CDMX, to indulging in mouthwatering tacos and mole and coming together for team dinners, every moment was unforgettable. ¡Hasta luego, México! 🌮💃

🚨 Poor information flow is crippling legal case management. 🚨 At the federal level, legal cases involve many complexities: 📄 Documents scattered across multiple agencies ⏰ Inconsistent processing timelines 🔐 Multiple security clearance requirements 📱 Disconnected systems ✍️ Endless manual approvals ⚖️ Constantly evolving compliance requirements The result: Massive inefficiencies that slow down data sharing and decision making. ❌ These delays and complexities can be very costly for law firms, who can only realize revenue upon case completion. ♦️ Delayed revenue = Stunted growth ♦️ Manual processes = Higher compliance risks ♦️ Multiple systems = Information gaps 💸 For larger firms, these inefficiencies aren't just inconvenient - they're costing MILLIONS in opportunity costs. Future in Tech (FiT) is trying to solve these challenges with their case management platform that simplifies compliance, automates workflows, and accelerates decision-making—reducing manual bottlenecks across law firms and agencies. Using the platform, lawfirms are accelerating attorney onboarding and transitions by 30 days, increasing revenue realization by 40%! Learn how Caylent helped FiT deploy the solution: https://hubs.li/Q03cs0Jq0

Brian Tarbox, Principal Solutions Architect at Caylent and an Amazon Web Services (AWS) Hero, joined Logicata’s LogiCast AWS News podcast to discuss automating Amazon RDS credential rotation, the new agentic coding experience within Amazon Q Developer, enhanced local IDE experience for AWS Step Functions, and more. Don't miss Brian's expert insights! Watch the full episode here 👉 https://lnkd.in/guSA3wCg

As companies reevaluate their VMware environments post-Broadcom acquisition, migrating to Amazon Web Services (AWS) has become a key focus. In this DevOps.com podcast, Caylent’s Mark Olson and Zach Tuttle chat with Mitch Ashley about the hurdles of VMware migration and explore tips for various modernization paths tailored to different customer journeys. Through real-world client stories, they’ll share insights on overcoming challenges and navigating market uncertainties. Listen here: https://hubs.li/Q03cdjKB0

We had an incredible time at HumanX last week, connecting with brilliant minds and diving into next-gen innovation! 🎉 Our Portfolio CTO, Ash Pembroke, joined an inspiring panel of women in tech to share their journeys and discuss AI’s evolving role, while our CTO, Randall Hunt, led a Masterclass showcasing Amazon Nova’s cutting-edge performance in video understanding and semantic search. Huge thanks to everyone who joined the conversations—until next time, Vegas! 🎰✨

Meet Sara Memar, a Senior Machine Learning Engineer at Caylent, in our newest #EmployeeSpotlight! Originally from Iran and now based in Canada, Sara's love for math and building things led her to a career in technology. She thrives on the creativity, problem-solving, and impact that machine learning brings, especially when collaborating with her teammates to tackle challenges together. Her guiding philosophy? Stay curious and never stop learning—a mindset that’s essential in the ever-evolving world of AI! 🚀 Learn more about Sara 👇 #WomensHistoryMonth

Last week, we teamed up with Amazon Web Services (AWS) in Miami for an unforgettable experience—diving into the cutting-edge world of Amazon's fulfillment centers with an immersive tour, followed by a dinner where we explored how AI, machine learning, and data analytics are revolutionizing competitive advantage. 🌟✨ Thank you to everyone who joined us for the event that was as energetic as the Magic City itself!

Healthcare generates more data than any other industry—36% of all global data. Yet, most of it is underutilized, siloed, or mismanaged. And that’s costing us—big time. 💰 $2 billion. That’s the average cost to bring a drug to market. Bad data can derail the entire process. ⚕️ Missed patterns in clinical data mean delayed diagnoses—or worse, misdiagnoses. 📈 Machine learning models are only as good as their data—poor quality means poor insights. The irony? The value of data has never been greater. With high-quality, well-managed data, modern Amazon Web Services (AWS) powered healthcare applications are already delivering groundbreaking results: 🔍 AI-powered diagnosis & early detection – Machine learning analyzes vast clinical datasets to flag hidden health risks before they escalate. 💊 Faster drug discovery – ML-driven research speeds up clinical trials and reduces the time to bring life-saving therapies to market. 📊 Predictive analytics for disease prevention – AI models trained on historical health data can forecast potential outbreaks before they spread. 🖼️ Automated image analysis – AI is now diagnosing conditions through X-rays and MRIs, often faster than human radiologists. This is the future of healthcare. But there’s one big problem… ❌ Healthcare data is a mess. 🔸 It’s fragmented—hospitals, payers, and research teams operate in silos. 🔸 It’s bound by regulations—HIPAA, GDPR, and other laws create massive hurdles. 🔸 It’s expensive & inefficient—legacy IT makes innovation nearly impossible. So, what’s the biggest barrier to unlocking the full potential of healthcare data? Drop your thoughts below 👇