My life has taken a very different path from the one I expected. My passion for computers started early, but I was determined not to ruin my hobby by turning it into a career. So, I followed my dad into firefighting. One year in, I had battled exactly zero fires and felt more like a …
From Fighting Real Fires to Disaster Recovery: My Journey to Data Protection Mastery Read More »
You can’t have an IT conversation in 2024 without talking about the threat of ransomware being a when, not an if. In fact, according to the 2024 Data Protection Trends Report, which surveyed 1,200 organizations on their overall strategies, three out of four organizations suffered at least one ransomware attack in 2023. It is becoming …
The Challenges of Data Growth in Microsoft 365 As data within Microsoft 365 continues to grow exponentially, businesses face numerous challenges in securing and protecting their critical information. With over two billion files created daily in Microsoft 365 and some tenants experiencing petabytes of growth each month, it is evident that protecting Microsoft 365 data …
Planning for the Future: Veeam and Microsoft 365 Backup Storage Read More »
As a business leader or IT professional, you know that effective data retention is essential for maintaining regulatory compliance, optimizing storage costs, and securing your organization’s Microsoft 365 data. However, implementing and managing retention policies across Exchange, SharePoint, Teams, and other Microsoft 365 services can be complex. This article provides actionable guidance to help you …
A Guide to Implementing Effective Data Retention in Microsoft 365 Read More »
Today, we are announcing the general availability of vector search for Amazon MemoryDB, a new capability that you can use to store, index, retrieve, and search vectors to develop real-time machine learning (ML) and generative artificial intelligence (generative AI) applications with in-memory performance and multi-AZ durability. With this launch, Amazon MemoryDB delivers the fastest vector …
Vector search for Amazon MemoryDB is now generally available Read More »
Organizations often struggle to solve their business problems in areas like claims processing, inventory tracking, and project approvals. Custom business applications could provide a solution to solve these problems and help an organization work more effectively but have historically required a professional development team to build and maintain. But often, development capacity is unavailable or …
Build enterprise-grade applications with natural language using AWS App Studio (preview) Read More »
When we launched Amazon Q Business in April 2024, we also previewed Amazon Q Apps. Amazon Q Apps is a capability within Amazon Q Business for users to create generative artificial intelligence (generative AI)–powered apps based on the organization’s data. Users can build apps using natural language and securely publish them to the organization’s app …
Today, we’re making the Amazon Q Developer (in your IDE) customization capability generally available for inline code completion, and we’re launching a preview of customization for the chat. You can now customize Amazon Q to generate specific code recommendations from private code repositories in the IDE code editor and in the chat. Amazon Q Developer …
Customize Amazon Q Developer (in your IDE) with your private code base Read More »
With Agents for Amazon Bedrock, generative artificial intelligence (AI) applications can run multistep tasks across different systems and data sources. A couple of months back, we simplified the creation and configuration of agents. Today, we are introducing in preview two new fully managed capabilities: Retain memory across multiple interactions – Agents can now retain a …
Agents for Amazon Bedrock now support memory retention and code interpretation (preview) Read More »
Guardrails for Amazon Bedrock enables customers to implement safeguards based on application requirements and and your company’s responsible artificial intelligence (AI) policies. It can help prevent undesirable content, block prompt attacks (prompt injection and jailbreaks), and remove sensitive information for privacy. You can combine multiple policy types to configure these safeguards for different scenarios and …
