Provectus

Free up June 24 evening for the #microservices #insights! Join Microservices Tech Talk with two speakers who are ready to share in-depth expertise on the topic. 1) Service Mesh. What, Why and How? Investigate the principles of #ServiceMesh, learn its basics and look at modern implementations together with Maxim Tereshin, Solution Architect at Provectus. Maxim is going to share his broad experience of using Service Mesh and teach you to apply the #bestpractices in architecture.... 2) Let’s move forward and dive deeper in microservices. Proceed to the second speaker’s talk Damir Abdullin, Software Engineer at Provectus, who is going to reveal the essence of the term reactive which is very popular nowadays among software engineers. Reactive microservices in Java in detail, the reasons you need it, and how to smoothly integrate it to our applications with the help of Spring ecosystem these are the subjects Damir is going to cover. Who might be interested in Microservices Tech Talk? #Java Developers, #DevOps Engineers, all who work closely with #AWS, and want to learn more about #microservices. Want to participate? Then save the date! June 24 at 6 PM CST. Please register via the link and watch the Microservices Tech Talk. https://bit.ly/3cplnGX#

#Provectus has built various #solutions for #healthcare #AI. Check out #TheSequence's interview with Iskandar Sitdikov, Provectus ML Engineer, to learn how we use #DeepLearning, #NLP, #ComputerVision, and other technologies to drive value for our clients. #artificialintelligence #machinelearning #digitalhealth #data #bigdata #technology https://lnkd.in/eKGkYzE

#ProvectusDigest is a weekly collection of #news, #research, and #resources on #AI, #ML, #Data & #Analytics. Enjoy the 7th issue of the #digest below! - #DeepLearning 101: What Is a #DeepNeuralNetwork? https://bit.ly/2SyxoTz... - How To Overcome The Fear of #Math and Learn Math For #DataScience by Arnuld On Data at KDnuggets https://bit.ly/2QZtkes - Nine Emerging #Python Libraries You Should Add to Your #DataScience #Toolkit in #2021 by Terence Shin at Towards Data Science https://bit.ly/3ttKU7w - Multiple #TimeSeries #Forecasting with #PyCaret by Moez Ali at KDnuggets https://bit.ly/3f6NZpg - #Fiddler is Bringing #ML #Monitoring to Enterprises by #TheSequnce team https://bit.ly/2SpZa4s - #MLOps: Comprehensive Beginner's #Guide by Oleksandr Tyron at Data Science Central https://bit.ly/2RAZZXD - The Early Move Advantage in #AI: Leaders vs Laggards vs Aspirants by Ajit Jaokar at Data Science Central https://bit.ly/2QTQ5AM - Achieve 12x Higher Throughput and Lowest Latency for #PyTorch #NaturalLanguageProcessing Applications Out-of-the-box on #AWSInferentia by Fabio Nonato de Paula and Mahadevan Balasubramaniam https://amzn.to/3nUsHPz

Join #Provectus for an on-demand #webinar as we explain how to build a robust #ML #infrastructure, with a focus on #dataquality and #metadata management, in order to streamline #MLOps. #ai #machinelearning #data #datamanagement https://provectus.com/webinar-mlops-and-data-quality-deplo/

#ProvectusAnswers Another batch of #artificialintelligence and #machinelearning #insights from Stepan Pushkarev, CTO of Provectus. Enjoy! --- Q: Do businesses have unrealistic expectations of AI?... A: We definitely have to set the expectations of business executives about AI. For the mature companies with an established innovation culture, they know what they want and know what they do. The only thing that they need is just the right tooling. However, for other enterprises, there is a need to take two steps back to work on strategy and make adjustments to their organizational structure. Leaders define goals and prioritize business use cases and only then start executing pilots. #ai #strategy #innovation #leadership #culture #digitaltransformation #business

#AI for #healthcare solutions are one of specialties of #Provectus. Learn how we can help your organization build an #AI-powered #diseasescreening system for automated #patientdiagnosis. https://provectus.com/disease-screening-healthcare/ #artificialintelligence #machinelearning #deeplearning #innovation #ml #digitalhealth #automation

#SwissArmyKube: An Open-Source Tool to Deploy #EKS clusters with #Kubeflow at Scale, by Elena Goidina In this post, we explain how Provectus-built tool, SAKK, can be used to establish an effective #workflow for #ML teams and show how to get started with #Kubeflow after #deployment. #ai #ml #technology #kubernetes #amazonwebservices... https://lnkd.in/eSv24Pu

We continue to explore the #FeatureStore market. This time let's take a closer look at #Molecula, a cloud-first feature store for the #enterprise. #ai #artificialintelligence #machinelearning #datascience #bigdata #datareadiness #mlops #cloud

Struggling to monitor and manage #ApacheKafka clusters? Check out #KafkaUI a free #opensource tool that adds #observability to your #data flows, and helps find and troubleshoot issues faster while delivering optimal #performance. https://lnkd.in/ePyEZdi #ai #ml #artificialintelligence #machinelearning #bigdata #analytics #dataanalytics

#Provectus Streaming Data Platform, a unified solution for real-time #DataAnalytics, is available at #AWS Quick Starts. Learn how our streaming-first architecture can power your #DataLake ecosystem while accelerating time-to-market and mitigating #technology risks #data #datastreaming #DataAnalytics #datalake #artificialintelligence #dataintegration #analytics https://lnkd.in/eP5Ed_p

Interested in #GitOps? Learn about the specifics of creating #Git repositories structures the very core of the GitOps approach with Dmitrii Evstiukhin (Дмитрий Евстюхин), #DevOps Engineer at #Provectus. https://dzone.com//gitops-how-to-ops-your-git-the-right-way

Proud to become a launch partner of Amazon Web Services for new #AI and #ML services announced at #reinvent2020. Learn more: https://bit.ly/39szTfX

Learn how Dropbox used #ArtificialIntelligence and #MachineLearning to save $1.7M a year on document previews. https://dropbox.tech//cannes--how-ml-saves-us--1-7m-a-year

Find out how #OpenAI managed to scale #Kubernetes to 7,500 #nodes for a scalable infrastructure for large #NLP models. #ArtificialIntelligence #MachineLearning https://openai.com/blog/scaling-kubernetes-to-7500-nodes/

Amazon Web Services announces forks of #Elasticsearch and #Kibana https://aws.amazon.com//stepping-up-for-a-truly-open-sour/