Amazon SageMaker is a fully managed service that enables data scientists and engineers to easily build, train, and deploy machine learning (ML) models. Whether you are integrating a personalized recommendation system into your video streaming application, creating a customer service chatbot, or building a predictive business analytics model, Amazon SageMaker’s robust feature set can simplify your ML workflows.
Traditional data center networking can’t meet the needs of today’s AI workload communication. We need a different networking paradigm to meet these new challenges. In this blog post, learn about the technical changes happening in data center networking from the silicon to the hardware to the cables in between.
Artificial intelligence (AI) won’t fade anytime soon, and since Generative AI (genAI) joined the party in Nov. 2022, innovative business strategies will only get louder. The not-so-fun part of AI and genAI’s growth shows up when businesses resist change and the adoption of emerging technologies. But the truth is – business leaders must step up.
This post was written with valuable contributions from Michael Webster, Kira Muhlbauer, Tim Cheung, and Ryan Hamilton. Remember the advent of the internet in the 90s? Mobile in the 2010s? Both seemed overhyped at the start, yet in each case, fast-moving, smart teams were able to take these new technologies at their nascent stage and experiment to transform their businesses. This is the moment we’re in with artificial intelligence. The technology is here.
Generative AI has shaken up the business and tech world, but the best tech relies on world-class talent to address the fundamental problems that haven’t been solved yet. At ServiceNow, we know the most constructive and value-creating strategies for generative AI are grounded in embedding human experience and expertise into the core capabilities.
As the emerging technologies team within ServiceNow digital transformation (DT), we’re always searching for new technology that can solve complex problems. When we saw how generative AI capabilities could deliver rich experiences and unlock the potential of our technology, people, and processes across the organization, we immediately pivoted to embrace it.
There’s no doubt that generative AI and the productivity it promises have captured the world’s imagination. We’ve talked about applying AI to just about everything—from those soul-crushing tasks we never want to do again to dreams within our grasp for the first time. Goldman Sachs estimates that generative AI could add nearly $7 trillion to global gross domestic product (GDP) in the next decade.
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time.
Sometimes innovation requires ideas unconstrained by traditional structures and removed from day-to-day responsibilities. It was in this spirit that PagerDuty’s People HackWeek–a friendly competition to explore how generative AI might impact the future of HR–was born.
The grocery sector was arguably hit as hard by the pandemic as any and is still dealing with the most persistent hangover—namely ongoing supply shortages, inventory imbalances, and excessive spoilage and waste.
Top tips is a weekly column where we highlight what’s trending in the tech world today and list out ways to explore these trends. This week we’re looking at five ways ways you can build upon the basics and start incorporating AI in your everyday. AI technology is now utilized in some form by almost 77% of devices. Nearly every industry has incorporated, or is trying to incorporate, AI in some way or another.
AI is booming. The AI market is projected to grow 37.3% annually from 2023 to 2030. With so many organizations adopting or considering AI applications, data centers need to be ready to support the new demand. However, without the right tools and data, it is difficult to understand if your existing facilities have the capacity to support systems like the “gold standard for AI infrastructure,” the NVIDIA DGX H100.
IT Service Management (ITSM) is such that it constantly evolves, introducing new technologies and tools. But if you have noticed recently, there have been some constants. And one of the most promising developments is leveraging Artificial Intelligence (AI) to power IT service management. However, the fact that AI has the potential to revolutionize ITSM is not exactly breaking news. But what continues to slip under the radar of many ITOps teams is how to unlock AI's true potential. To know this, there's a dire need to understand the already critical and soon-to-be popular use cases.
Generative AI (GenAI) is on track to be the most powerful technology of our time. As such, it’s created quite a buzz. “Generative AI has awakened people's imagination for AI,” explains ServiceNow Chief Information Officer Chris Bedi. “AI has been around for a long time. People use machine learning models, but they couldn't feel and touch it like generative AI.
Generative AI is all the buzz these days with the popularity of platforms and tools such as ChatGPT, Bard, Scribe, Jasper, and others experiencing exponential growth. This is a technology that has come to the fore with the force of a runaway train that’s bringing us head long into the future at the speed of light. It is transforming everything we do from writing code to making travel plans. And cybersecurity is no exception.
