generativeai
By David Linthicum As a seasoned advocate and expert in cloud computing and generative AI, I’ve observed the immense transformative potential these technologies offer. Yet, we’re doing things just as stupidly as we did in the early days of cloud computing. If you have not noticed lately, enterprises are running around in circles to fix mistakes they made 10 years ago in migrating and building new cloud-based systems. Repatriation is shorthand for “whoops!” The lack of planning and understanding has led to huge bills that nobody expected, and CIOs are attempting to mitigate. This means instead ...
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By Kjell Carlsson Responsible AI (RAI) is needed now more than ever. It is the key to driving everything from trust and adoption, to managing LLM hallucinations and eliminating toxic generative AI content. With effective RAI, companies can innovate faster, transform more parts of the business, comply with future AI regulation, and prevent fines, reputational damage, and competitive stagnation. Unfortunately, confusion reigns as to what RAI actually is, what it delivers, and how to achieve it, with potentially catastrophic effects. Done poorly, RAI initiatives stymie innovation, creating hurdle...
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By Anirban Ghoshal MongoDB has introduced the MongoDB AI Applications Program, or MAAP, to help enterprises jumpstart their development of generative AI applications. MAAP, according to the company, will offer enterprises strategic advice, professional services, and an integrated end-to-end technology stack from MongoDB and its partners. These partners include consultancies, foundation model (FM) providers, cloud infrastructure providers, and generative AI framework and model hosting providers including Anthropic, Anyscale, Amazon Web Services (AWS), Cohere, Credal.ai, Fireworks.ai, Google Clo...
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By Anirban Ghoshal Amazon Web Services (AWS) on Tuesday said that it was making its generative AI-powered coding assistant Amazon Q Developer generally available. Introduced as the evolution of Amazon CodeWhisperer at AWS re:Invent in November, Amazon Q will compete with rival offerings such as GitHub Copilot, Gemini Code Assist, and IBM’s Watsonx Code Assistant, AWS said. The generative AI-based coding assistant can perform tasks such as generating code, testing code, upgrading applications, troubleshooting applications, performing security fixes, and optimizing AWS resources, the company add...
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By Hamid Azzawe Data has the potential to provide transformative business insights across various industries, yet harnessing that data presents significant challenges. Many businesses struggle with data overload, with vast amounts of data that are siloed and underutilized. How can organizations deal with large and growing volumes of data without sacrificing performance and operational efficiency? Another challenge is extracting insights from complex data. Traditionally, this work has required significant technical expertise, restricting access to specialized data scientists and analysts. Recen...
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By Paul Krill GitHub is offering a technical preview of GitHub Copilot Workspace, which provides a developer environment based on the GitHub Copilot AI-powered programming assistant. The GitHub Copilot Workspace preview was introduced April 29. Described as a Copilot-native development environment for everyday tasks, GitHub Copilot Workspace allows developers “to brainstorm, plan, build, test, and run code in natural language,” GitHub said. GitHub Copilot Chat, the natural language assistant, was introduced in November. GitHub Copilot Workspace features an AI-assisted, task-centric workflow. S...
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Artificial Intelligence (AI) is reshaping the global economic landscape, emerging as a pivotal force in the digital domain and driving innovation across various sectors. By 2030, AI is expected to have injected more than €11 trillion into the global economy, according to industry forecasts. It's anticipated that AI and robotics will jointly spark the creation of around 60 million new jobs globally by 2025, underscoring the critical importance of digitalisation in propelling economic growth. In a concerted effort to match global tech leaders, the European Union is intensifying its push to integ...
Euronews (English)
By Matt Asay In the rush to embrace coding assistants like Amazon CodeWhisperer to generate new code for developers, we haven’t spent much time asking if that code is any good. By some measures, the answer is clearly “no.” According to a GitClear analysis, “Code generated during 2023 … resembles [that of] an itinerant contributor,” likely caused by increased use of coding assistants. This is not to say that coding assistants are bad. They can be incredibly helpful. The issue is we need to invest more time figuring out ways to apply generative AI to tasks like code refactoring now, as covered i...
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By Gyana Swain In a breakthrough for the healthcare industry, researchers have unveiled Meditron, a suite of open-source large language models (LLMs), specifically designed to assist medical professionals. Jointly developed by researchers from École Polytechnique Fédérale de Lausanne (EPFL) and Yale School of Medicine, and supported by the International Committee of the Red Cross (ICRC), the LLM is built upon the Meta Llama2 platform and trained on “carefully curated, high-quality medical data sources,” Meta said in a blog post. Meditron has also been supplied and refined with “continual input...
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By David Linthicum Back in the early days of the cloud, I had a nice little business taking enterprise applications and reengineering them so they could be delivered as software-as-a-service cloud assets. Many enterprises believed that their custom application, which provided value by addressing a niche need, could be resold as a SaaS service and become another source of income. I saw a tire company, a healthcare company, a bank, and even a bail-bond management company attempt to become cloud players before infrastructure as a service was a thing. Sometimes it worked out. The key hindrance was...
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