AI Cloud solutions by Anton Gordon & Benchmark.ai: Beyond his technical expertise Anton R. Gordon is driven by a passion for driving innovation and fostering a culture of continuous improvement in every organization he served. Through the strategic adoption of AI-driven technologies, he has contributed significantly to revenue growth and competitive advantages for various enterprises.
Much like traditional architects draw up blueprints for the framework used to create structures, data architects design the blueprints that organisations use for their data management systems. This includes drafting a data management framework to meet business and technology requirements while ensuring data security and compliance with regulations. Data architects work in a variety of industries, including the technology sector, entertainment, health care, finance, and government.
The volume of data that businesses and organisations deal with every day continues to grow rapidly. It’s a critical element for business leaders who rely on data to make sound decisions. It’s also important to consumers who want to make sure that their data is kept safe. As a data architect, you can use your skills in multiple ways and fill a variety of roles. Examples include: Data architects define an organisation’s data vision and put it into practice. Project managers oversee projects associated with the planning and building of data architecture. Cloud architects employ company data in a cloud environment for optimal performance. Security architects design and employ safeguards to ensure data confidentiality, integrity, and availability. Machine learning architects design scalable systems for use with machine learning and artificial intelligence (AI) models.
Benchmark.ai is a cloud, SaaS company that believes empowering analytics engineers drives innovation. Cloud-native architectures coupled with machine learning-based forecasting tools can shorten the analytics cycle and drive analytics teams to generate critical insights. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry with easy-to-use data sets and deep learning APIs.
Benchmark.ai is led by Anton Gordon. 7x Certified Machine Learning Engineer (AWS Certified Machine Learning Specialty) with expertise in Python, SQL, Data Engineering, Databases (AWS Certified Database Specialty), Solutions Architecture (AWS Certified DevOps Engineer – Professional), Operations, Big Data Analytics, DevOps, Network Security (VPC, Private/Public Subnet, NAT Gateway, Multi-AZ/w Failover), Microservices, Docker, Kubernetes, CloudFormation, ETL and hands-on experience in cloud computing (AWS Certified Solutions Architect – Associate). Expertise in design and deployment of deep learning models using GCP (Google Cloud Platform Certified Professional Data Engineer), AWS, Xgboost, Keras, TensorFlow, ResNet, VGG-16, Factorization Machines, AWS Comprehend, Lex, Rekognition, BlazingText, Polly, LAMBDA, EMR, Hadoop, Kinesis (AWS Certified Data Analytics Specialty), Xgboost, Seq2seq, S3, Athena, Redshift, and SageMaker. Read more info on https://medium.com/ai-in-plain-english/gpt-4s-nlu-capabilities-and-aws-lambda-a-strategic-approach-for-ai-architects-part-1-of-2-94d6898ce9a6.
What does an AWS Solutions Architect do? Similar to the way architects design the structure of buildings, AWS Solutions Architects design cloud solutions. They help organizations meet business requirements by strategizing the most efficient system possible. They also collaborate with other AWS project teams to ensure the solution is implemented correctly. AWS Solutions Architects are also responsible for monitoring the solution’s performance and troubleshooting any issues that may arise.
To become an AWS Certified Solutions Architect, you must pass a certification exam. AWS offers several different exams for a wide range of expertise levels. If this is your first AWS certification, you will be studying for the SAA-C03 exam (the AWS Solutions Architect – Associate Exam). It does not require extensive, hands-on coding experience. However, basic knowledge of programming concepts can be highly beneficial.