Mike Brown

Voice Recognition Integration In Apps

- Hands-free interaction for faster, more natural user experiences

- Real-time speech-to-text for notes, search, and commands

- Improved accessibility for users with diverse needs

- Reduced typing friction, boosting engagement and retention

- Seamless integration with AI assistants and smart devices

#VoiceRecognition, #SpeechToText, #AIApps, #ArtificialIntelligence, #MachineLearning, #SmartApps, #VoiceTechnology, #AppDevelopment, #MobileApps, #UXDesign, #Accessibility, #DigitalInnovation

1 week ago | [YT] | 0

Mike Brown

“Building Digital Magic This Christmas: Avigma Tech LLC’s 2025 Innovation Journey”





1- Innovation 🎄 – Sparked smarter digital solutions with cutting-edge tech

2- Growth 🎁 – Expanded partnerships and scaled ideas worldwide

3- Speed ⚡❄️ – Delivered fast, smooth, high-performance apps

4- Design 🎨✨ – Crafted joyful, user-first digital experiences

5- Automation 🤖🎄 – Simplified workflows with intelligent systems

6- Quality ⭐🎁 – Built secure, reliable, production-ready products

7- Teamwork 🤝🎅 – United talent and clients to build magic together

8- Future 🚀❄️ – Set the stage for a brighter, smarter 2026





#ChristmasInnovation, #DigitalMagic, #TechChristmas, #HolidayInnovation, #InnovationJourney, #AvigmaTech, #TechCompany, #DigitalTransformation, #FutureReady, #SmartTechnology, #AppDevelopment, #SoftwareInnovation, #Automation, #UserExperience, #TechGrowth, #StartupLife, #BuildInPublic, #ChristmasVibes, #HolidaySeason, #2025Recap, #Teamwork, #DesignThinking, #FastDevelopment, #AIInnovation

2 weeks ago | [YT] | 0

Mike Brown

3 weeks ago | [YT] | 0

Mike Brown

1 month ago | [YT] | 0

Mike Brown

Serverless Computing vs. Containerized Microservices

Deployment model: Serverless abstracts away servers and infrastructure, while containerized microservices require you to manage container runtimes and orchestration (like Kubernetes).
Scalability: Serverless auto-scales instantly based on demand; containers scale through configured replicas and autoscaling rules.
Cost structure: Serverless is pay-per-use with no cost for idle time, whereas containers usually incur costs even when services are idle.
Control & customization: Containers offer more control over the environment and dependencies; serverless limits low-level access but simplifies operations.
Latency & performance: Serverless may face cold start latency, while containers (especially long-running ones) provide more consistent performance.
Use case fit: Serverless is ideal for event-driven, sporadic workloads; containerized microservices suit complex, always-on systems with interdependent services.

1 month ago | [YT] | 0

Mike Brown

@AndreasKretz – Learn Data Engineering, @SeattleDataGuy, @DataEngineerAcademy, @Databricks, @AlexTheAnalyst, @SnowflakeInc, @DataTalksClub, @GoogleCloudTech, @AWSEvents, @freeCodeCamp.org, @TechWithTim, @TheDataJanitor, @DataCamp, @CodingWithLewis, ‪@Bigdataldn‬

1 month ago (edited) | [YT] | 0

Mike Brown

1 month ago | [YT] | 0

Mike Brown

2 months ago | [YT] | 1