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Build a strong brand architecture that sets your business apart. Discover key strategies in our comprehensive article. Every powerful and enduring brand owes its success to a well-crafted brand architecture. The way master brands and sub-brands are organized profoundly influences a brand’s overall identity, its connection with customers, and its longevity. By @mailchimp.com.

Brand architecture is a strategic framework that profiles a company’s structure, including the arrangement of its different brands and product lines. As a foundational element of brand management, brand architecture helps businesses manage and communicate its brand portfolio to consumers, stakeholders, and employees.

In the article authors describe:

• Types of brand architecture
  • Branded house
  • House of brands
  • Endorsed brands
  • Hybrid brand architecture
• Benefits of a strong brand architecture
• Steps to build a strong brand architecture
• Common mistakes to avoid
• Tools and resources for building brand architecture

Before you start creating your brand architecture, it’s essential to assess your existing brands and their performance. Identify all brand elements, including corporate, product, and sub-brands, to understand their strengths, weaknesses and relationships. Additionally, get insights into how customers perceive your brands by analyzing market perception. Good read!

When creating a strong digital marketing strategy, having a website that engages visitors is essential. But what does that mean? Beyond having a website that looks amazing, it’s important that every element on your website is strategically designed to stop users from clicking away. This is the guiding principle behind UX design. By Claire Grace.

The article explains:

• What is UX design?
• How can UX help your digital marketing?
• 7 UX design components your website needs
  • UX and branding go together like PB&J
  • An effective call to action right on the homepage
  • Content designed to be seen
  • Embrace simplicity while prioritizing the visual experience
  • Give your website life with movement and interactive content
  • Organize content in strategic ways
  • Capture user attention without crowding their view

It takes a true pro to strike just the right balance between stunning, exciting design and functional design. Ultimately, design should never impede usability, but with the right design team who understands your brand, your goals, and what makes your organization unique, you can have a website that pushes the bounds, engages users, and never leaves them feeling frustrated or confused.Nice one!

The topic of AWS Best Practices is huge and would be impossible to distil down to just a few points, so this post covers a few of the obvious choices and how you can find out more information. By Matthew Wilson.

The article then pinpoints few areas for your attention:

• Security
  • Understand the Shared Responsibility Model
  • Secure your Root Account
  • Principle of least privilege (POLP)
  • Handling secrets
  • Encryption
• Cost
• Serverless first
• Master the basics
• Automate everything
• Well Architected Framework

There is also a Well Architected Tool that can help you assess your application against these pillars. It’s important to note that this is not a “checklist” and you should not aim for a “perfect score”. Instead it should be used as a guide to help you identify areas of improvement. Interesting read!

Many AI systems are designed for collaboration: Copilot is one of them. Copilot—powered by Microsoft Azure OpenAI Service—allows you to simplify how you design, operate, optimize, and troubleshoot apps and infrastructure from cloud to edge. It utilizes language models, the Azure control plane, and insights about your Azure and Arc-enabled assets. All of this is carried out within the framework of Azure’s steadfast commitment to safeguarding data security and privacy. By Andy Beatman Senior Product Marketing Manager, Azure AI.

The article then captures:

• A brief history of AI collaboration with copilots
• AI at the service of others
• Prioritizing human agency
• Microsoft commitment to responsible AI

With Responsible AI tools in Azure, Microsoft is empowering organizations to build the next generation of AI apps safely and responsibly. Microsoft has announced the general availability of Azure AI Content Safety, a state-of-the art AI system that helps organizations keep AI-generated content safe and create better online experiences for everyone. Nice one!

Amazon CloudWatch lets customers collect monitoring and operational data in the form of logs, metrics, and events, providing an easy way to monitor and receive notifications regarding their workload health and often integrate directly with other systems, such as JIRA Service Desk and ServiceNow. By Chaitanya Gummadi.

The CloudWatch alarms feature lets you monitor CloudWatch metrics and receive notifications when the metrics fall outside a certain threshold. This threshold can be a predefined static threshold, an anomaly detection model, metric math expression, and composite alarm. When you create an alarm, you can specify what actions an alarm takes when it changes the state between OK, ALARM, and INSUFFICIENT_DATA states. The most common type of alarm action is to notify one or more people by sending a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Further in the article:

• Solution overview
• Prerequisites
• Creating CloudWatch Alarm (Optional)

As an example, authors provided an overview of how to create CloudWatch Alarm in Sender Accounts(A&B) and centralize it in the Receiver Account(C) by using CloudFormation to deploy AWS EventBridge Event Buses, Rules and Targets. Good read!

Modern serverless applications on AWS are complex with a lot of moving parts. Mapping a developer workflow onto those applications can be difficult. This article discusses the developer workflow I have developed for complex serverless applications at aleph0, with example CloudFormation template and GitHub Action snippets to illustrate the concepts. By Andy Boothe.

The article then focuses on certain goals for developer workflow and how to architect with this goals in mind:

• An efficient developer workflow compatible with team growth and modern practices, e.g., CI/CD, Infrastructure as Code, etc.
• Separate environments for staging, production, etc. are a requirement
• Example architecture
• Tools and techniques
  • Continuous integration and continuous delivery
  • Infrastructure as code
  • Developer workflow
  • Lambda function workflow
  • Step function workflow
  • REST API
  • Promoting to Production

… and more. You will also find example architecture in the article. The architecture uses an API Gateway REST API to define endpoints that use StartSyncExecution to invoke an Express Step Function, which in turn invokes Lambda function(s) and/or other AWS services. There are also examples for both Github actions CD workflow and CloudFormation template for respective workflows. Good read!

In this article authors have compiled a full list of Google algorithm launches, updates, and refreshes that have rolled out over the years, as well as links to resources for SEO professionals who want to understand each of these changes. By @searchenginejournal.com.

Google’s algorithms are a complex system used to retrieve data from its search index and instantly deliver the best possible results for a query. The search engine uses a combination of algorithms and numerous ranking factors to deliver webpages ranked by relevance on its search engine results pages (SERPs).

In its early years, Google only made a handful of updates to its algorithms. Now, Google makes thousands of changes every year. Most of these updates are so slight that they go completely unnoticed. However, on occasion, the search engine rolls out major algorithmic updates that significantly impact the SERPs. The article then lists all the main updates together with link to detailed description of the changes. The list is searchable by year. Nice one!

Swift’s deliberate design choices over the years has resulted in a language that showcases how flexibility and compatibility does not need to come at the cost of usability. One of these design choices was Swift’s focus on native interoperability with other languages. The flexibility that this enables makes it a joy to build rich, native experiences in Swift across a variety of environments. By Saleem Abdulrasool.

Swift embeds a copy of clang, the C and C++ compiler, which is able to directly translate between the languages avoiding penalties in code size and runtime performance. This level of interoperability composes wonderfully with existing systems and enables building complex software atop existing C libraries. You will also learn about:

• The Windows API
• Component Object Model (COM)
• COM support in Swift with C Interop
• COM support in Swift with C++ Interop
• Improving Swift language support for COM
• Interoperability on Windows

Swift’s arsenal of interoperability tools makes it a potent language for building rich, native applications and libraries on existing platforms, and provides a great alternative to C and C++ with its improved memory safety and ergonomics. On Windows particularly, the interoperability features allow us to gain access to a very large set of the system’s API. Best of all, since COM is used outside of the Windows ecosystem, improvements to Swift’s integration with Windows system APIs, such as the native COM bridging described above, would also help other platforms! Nice one!

Until recently, the applications of artificial intelligence have remained in the hands of scientists, engineers and big business. But for the first time in history, anyone with an internet connection and keyboard can harness this technology. AI-powered tools – like OpenAI’s ChatGPT – have well and truly captured the public’s attention. By Alex von Schirmeister.

In 2024 and beyond,four factors will underpin the development of AI and its impact on small businesses:

• AI costs will need to be managed
• Consolidation could impact accessibility
• Control will lead to questions on accountability
• Copyright, creativity and commercially safe AI

The likes of Microsoft and Google are heavily subsidising the generative tools we play around with, without them making any money from AI – yet. On top of this, 2023 set a record for investment in generative AI startups, with equity funding exceeding $14 billion across 86 deals as of the second quarter of the year, much of which startups are spending on building the infrastructure needed to build, train and run their AI models. AI must now become a self-funding endeavour, as its economics are currently higher than the cost of labour. Good read!

HGX H200 systems and cloud instances coming soon from world’s top server manufacturers and cloud service providers. NVIDiA supercharged the world’s leading AI computing platform with the introduction of the NVIDIA HGX™ H200. Based on NVIDIA Hopper™ architecture, the platform features the NVIDIA H200 Tensor Core GPU with advanced memory to handle massive amounts of data for generative AI and high performance computing workloads. By @nvidia.

The NVIDIA H200 is the first GPU to offer HBM3e — faster, larger memory to fuel the acceleration of generative AI and large language models, while advancing scientific computing for HPC workloads. With HBM3e, the NVIDIA H200 delivers 141GB of memory at 4.8 terabytes per second, nearly double the capacity and 2.4x more bandwidth compared with its predecessor, the NVIDIA A100.

The introduction of H200 will lead to further performance leaps, including nearly doubling inference speed on Llama 2, a 70 billion-parameter LLM, compared to the H100. Additional performance leadership and improvements with H200 are expected with future software updates. Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will be among the first cloud service providers to deploy H200-based instances starting next year, in addition to CoreWeave, Lambda and Vultr. Interesting read!