Start with pain, not complexity. Nearly every expert says the same thing: don’t try to automate everything at once. Pick the single most repetitive, friction-causing manual task and automate that first. Early wins build team confidence and prove the model before you tackle more critical systems.
A data lake is a centralized repository that allows businesses to store structured and unstructured data at any scale. It provides a single source of data that can be analyzed and used to support a variety of business needs, such as reporting, analytics, machine learning, and more.
Cloud security is increasingly essential in today’s fast-paced IT environment. As more companies migrate some or all of their IT infrastructure to the cloud, securing cloud-based IT assets remains critical to preventing data breaches and maintaining the trust of customers.
In this blog, we will discuss some of the pain points of implementing cloud security and how you can improve your cloud security posture by outsourcing security to certified AWS experts.
AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner. To remove the complexity of getting started with machine learning, AWS developed the Sagemaker platform to help customers get started using AI to their advantage, with no experience.
Small businesses remain acutely exposed to data loss and downtime: 60% close within six months of a significant data-loss event, and downtime costs typically run $8,000–$100,000 per hour depending on company size.
As Amazon re:Invent 2019 comes to a close, we look to review the keynote speakers, main events, and major announcements.
Centered in six venues across the Las Vegas Strip, more than 60,000 attendees made this Amazon re:Invent the largest one yet. With topics ranging from new Amazon Web Services (AWS) local zones to EC2 innovations and 5G Wavelength capabilities, re:Invent unleashed a wide-variety of innovative announcements.
The right managed cloud service provider enables technical leaders to spend more time on their core competency - building products valuable for customers. A properly developed cloud strategy will speed your time to market, increase reach, and market share - all designed to increase your revenue generation capabilities.
Managed Services is the practice of outsourcing infrastructure management to an expert third party to improve operations, efficiency, and cost control. Partnering with a Managed Service Provider (MSP) to run day-to-day cloud operations is now standard practice for organizations of every size, not a fringe strategy.
