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Creating a user interface that visualizes a real-world structure — like the Thirty Meter Telescope's mirror — might seem like a task that demands deep knowledge of geometry, D3.js, and SVG graphics. But with a Large Language Model (LLM) like Claude or ChatGPT, you don't need to know everything upfront. Unmesh Joshi describes how working with an LLM gave him a working prototype even when he's unfamiliar with the underlying tech.
Were not just automating a handful of manual tasks and processes across a department or two, says Kellie Romack, CDIO at ServiceNow. Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. AI agents topped Forresters 2024 trend list, and Salesforce expects one billion in use by the end of fiscal year 2026.
Traditionally, the main benefit that generative AI technology offered DevOps teams was the ability to produce things, such as code, quickly and automatically. But not all DevOps work involves generating things. Much of it centers on performing actions, like modifying cloud service configurations, deploying applications or merging log files, to name just a handful of examples.
In this blog, I will show you how you can convert the output of a Google Cloud Asset query into JSON format using the command line, or to an Python object in a Python program. This transformation will streamline your workflow and make reporting and data handling easier. I will show you how to do this from the command line and from within a Python program.
Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI : how to maintain high performance while reducing costs and latency. This technique transfers knowledge from larger, more capable foundation models (FMs) that act as teachers to smaller, more efficient models (students), creating specialized models that excel at specific tasks.
By Roman Eloshvili Depending on which statistics you believe, there are more than 150 million startups in the world today, and about 50 million new ones launched each year. But the harsh reality is that about 90% of them fail without getting very far. One of the top reasons is premature scaling. That includes expanding into new markets before you and your business are ready.
By Roman Eloshvili Depending on which statistics you believe, there are more than 150 million startups in the world today, and about 50 million new ones launched each year. But the harsh reality is that about 90% of them fail without getting very far. One of the top reasons is premature scaling. That includes expanding into new markets before you and your business are ready.
Episode 301: What if the key to improving productivity is simply learning how to delegate without anything falling through the cracks? Delegation is supposed to free up your time and build your teambut if you’re constantly chasing updates or getting back subpar work, it can feel more like a trap than a tool. This episode tackles that head-on, giving you the exact steps to make sure delegation actually works the way it shouldclear, clean, and effective.
Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesnt possess internally.
Going public via SPAC was a very 2021 thing to do. During the peak of the last bull market, dozens of startups took this quick route to market, merging with publicly traded shell companies, or SPAC s, in lieu of a traditional IPO. Looking back, most of them didnt work out so well, in areas from scooters to autonomous driving , genetic testing and vertical farming the list goes on.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
At a press conference held at Microsoft Koreas Gwanghwamun office, Oh Seong-mi, head of the business division, highlighted the top findings of Microsofts 2025 Work Trend Index, including the companys prediction that corporate organizational charts will rapidly change in the coming years, centering on AI agents. According to Microsofts survey, AI has gone beyond a simple work assistant to performing work flexibly as a team member in collaboration with human staff.
In an era where artificial intelligence is rapidly transforming the software development landscape, a new community has emerged to lead this evolution: AI Native Dev. The community is centered around the website, [link] The site serves as a platform for a raft of different types of content and information.
With the advent of generative AI solutions, a paradigm shift is underway across industries, driven by organizations embracing foundation models (FMs) to unlock unprecedented opportunities. Amazon Bedrock has emerged as the preferred choice for numerous customers seeking to innovate and launch generative AI applications, leading to an exponential surge in demand for model inference capabilities.
As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.
Want to keep track of the largest startup funding deals in 2025 with our curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the weeks top 10 announced funding rounds in the U.S. Check out the biggest funding rounds of last week here. It was a big week for the space and defense sectors, as investors clearly were looking to the skies.
Small language models (SLMs) are giving CIOs greater opportunities to develop specialized, business-specific AI applications that are less expensive to run than those reliant on general-purpose large language models (LLMs). By 2027, smaller, context-specific models will outpace their counterparts with usage volume at least three times more than those of LLMs, according to a recent report from Gartner, which also claims LLM response accuracy declines for tasks requiring specific business context.
We are witnessing a seismic shift in the way we work. The browser has evolved from a simple utility to the central workspace of modern organizations, where employees connect, collaborate and create. From using GenAI tools to accessing business-critical apps, the majority of work now happens in the browser. In fact, employees spend over 85% of their time working in the browser.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
In the era of generative AI , new large language models (LLMs) are continually emerging, each with unique capabilities, architectures, and optimizations. Among these, Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading cost-performance, available exclusively on Amazon Bedrock. Since its launch in 2024, generative AI practitioners, including the teams in Amazon, have started transitioning their workloads from existing FMs and adopting Amazon Nova models.
By Sagi Eliyahu Excitement about the transformational potential of AI in the enterprise has never been higher. Its manifested most recently into the explosion of interest in AI agents. Agents are specialized, AI-powered software programs that can work autonomously to achieve long-term goals. As Meta s head of business AI, Clara Shih , recently told CNBC , Meta expects every business to use AI agents the way that businesses today have websites and email addresses.
IT leaders know they must eventually deal with technical debt, but because addressing it doesnt always directly result in increased revenue or new capabilities, it can be difficult to get business management to take it seriously. But t echnical debt can undercut an organizations ability to innovate long term, and the shortcuts taken during initial development likely resulted in a codebase thats convoluted, slow, or difficult for devs to understand.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Intelligent Continuous Testing is not just the next step in automation its the missing link between speed and quality in modern software delivery. If your team is stuck in manual testing purgatory, its time to reimagine testing as a smart, adaptive, and always-on partner in your journey to excellence.
In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. In the spirit of giving back to the community and harnessing the art of the possible for positive change, AWS hosted the Hack For Purpose event in 2023.
Less than six months after raising a $145 million in a Series B , defense and critical infrastructure tech startup Chaos Industries locked up a $275 million Series C that reportedly values the company at $2 billion. The new round was led by Accel and New Enterprise Associates , with participation from StepStone Group , Overmatch Ventures , Tru Arrow Partners and Valor Equity Partners.
Asus' latest Zenbook Duo packs serious power, two OLED touchscreens, and a long-lasting battery - making it one of the most ambitious dual-screen laptops yet.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Since leaving the jungle, humans have divided themselves into categories a set of wes. We 8.2 billion humans would be materially healthier, wealthier, happier, and safer if we could constructively and empathetically reconcile the hopes, dreams, and fears of the many wes that make up our species. Anthropologists and philosophers who study collective behavior embrace the premise that we has three foundational components: the individual (who am I?
In a recent edition of The Sequence Engineering newsletter, Why Did MCP Win? , the authors point to context serialization and exchange as a reasonperhaps the most important reasonwhy everyones talking about the Model Context Protocol. I was puzzled by thisIve read a lot of technical and semitechnical posts about MCP and havent seen context serialization mentioned.
Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or particular output formatting requirements.
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