IT strategy and trend

A blog from Amazon has been buzzing in the IT industry: A monolithic architecture produced superior performance to a serverless microservices approach. The value is aligning the org structure and

The flurry of emerging generative AI — including large language models — offerings continue to pick up velocity, but that does not necessarily mean every enterprise can or wants to bolt such resources on to their

The proliferation of edge devices creates a litany of management silos and security headaches for network administrators, as legacy network solutions often struggle to provide the flexibility and innovation to support

Before companies can go down the path to something new, however, they need to build a foundation of agility and focus, which is enabled through industry cloud. In other words, business, IT, and functional

To align with these changing dynamics, it’s critical to shift away from the legacy perimeter-based controls of the past in favor of a more agile zero-trust architecture (ZTA) that restricts adversaries from causing

Kevin Shtofman, head of innovation at Cherre, explains AI will create increased demand for computing power, requiring investment in AI-specific hardware, adoption of new data center designs, and exploration

Regardless of the use case, the benefits of specialization are clear: LLMs tailored for specific tasks excel in their respective domains, providing businesses with accurate, relevant and useful outputs. And, while GPT-4

The cloud has changed IT infrastructure budgeting and made cost control dramatically more complex, says Robert Orshaw, managing director and global leader for the cloud operate at business advisory firm Deloitte

Artificial intelligence promises to impact the corporate bottom line by helping departments be more productive and more efficient, while also opening up opportunities for new revenue for a company. Artificial

Web LLM is a project that runs the Vicuna 7B large language model entirely in the Chrome browser, using the WebGPU (in the current Chrome beta). We are experiencing a proliferation of small large

Unfortunately, problems with that data — quality, quantity, velocity, availability and integration with production systems — continue to persist as a major obstacle to successful enterprise implementation of the

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks:… How To Exclude Bias From A Machine Learning Algorithm There

Continuous delivery/deployment (CD) tools like Octopus Deploy and AWS CodePipeline automate the deployment of code changes to servers, streamlining the processes needed to push features and bug