Operations | Monitoring | ITSM | DevOps | Cloud

April 2024

The biggest use cases for AI in Automotive (that aren't just self-driving cars)

A study of 4 major use cases of AI in cars In this fast-paced age of technological evolution, Artificial Intelligence (AI) emerges as the key catalyst driving profound shifts in the automotive sector. From smart vehicle design to customised in-car interactions, AI is reshaping every aspect of transportation, ensuring safer, more effective, and environmentally friendly journeys for both drivers and passengers.

Beyond the Hype: Understanding the Real Value of AI for Service Providers

I recently wrote about how AI can support unified communications in the enterprise, but its applications are much broader than that, and communications service providers also have the opportunity to benefit. In a recent Gartner survey, 95% of telecom CIOs said they plan to implement AI/ML technologies by 2026 and 79% said they plan to increase their AI/ML investments.

Demo: AI-Accelerated Workflows with Mattermost, Atlassian Jira, Parabol & Microsoft Azure AI

Mattermost integrates with Atlassian Jira and features a bring-your-own LLM capability via the Mattermost AI Copilot plugin. Check out this demo to see how you can quickly review tickets & privately ask questions in a DM with the AI (ChatGPT-4) to look up issues and fetch details, providing personalized summaries and taking next actions.

Introducing AI by Design: Principles for Responsible AI

Generative artificial intelligence (AI) represents a new frontier for transformative productivity. With over 300,000 customers worldwide harnessing our data-driven solutions, SolarWinds is well-positioned to leverage AI to enrich the lives of the IT professionals we serve. But for this exciting technology to yield real value over time, it’s crucial to build it sustainably.

Deploying AI Apps with GPUs on AWS EKS and Karpenter

As AI and machine learning workloads continue to grow in complexity and size, the need for efficient and scalable infrastructure becomes more important than ever. In this tutorial, I will show you how to deploy AI applications on AWS Elastic Kubernetes Service (EKS) with Karpenter from scratch, leveraging GPU resources for high-performance computing.

Key Features to Look for in Supply Chain Visibility Software in 2024

In today's rapidly evolving marketplace, particularly within sectors like biopharma and biotechnology, how can companies stay ahead of the curve? As industries like these continue to grow, so does the complexity of their supply chains. The biotech supply chain, for instance, is not just about moving products; it encompasses a web of bio pharma procurement transformation, and the execution of a strategic bio pharma supply chain strategy.

A Product Manager's Insights from KubeCon + CloudNativeCon Europe 2024

I recently had the privilege of attending KubeCon + CloudNativeCon Europe 2024 in Paris. The conference, hosted by the Linux Foundation, marked the 10th anniversary of Kubernetes. Here are the key takeaways and highlights from the conference.

Top tips: Use generative AI to enhance your content

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. In this week’s edition, we’re going over how generative AI can help content creators improve the quality of the content they put out. ChatGPT’s release in November 2022 launched generative AI to the very forefront of the technological landscape. For a few months after that, it seemed like all people were talking about was generative AI (GenAI).

The Impact of Artificial Intelligence on Enterprise Password Management

In an era where cyber threats are becoming more sophisticated, the significance of robust password management cannot be overstated. The advent of Artificial Intelligence (AI) has ushered in a new epoch for cybersecurity, fundamentally transforming enterprise password management. This blog post delves into how AI is revolutionizing this domain, enhancing security measures, and propelling businesses toward a more secure digital environment.

Ensure your models flow with the JFrog plugin for MLflow

Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in ML model development than ever before.

Standout Exhibits at Embedded World 2024

Earlier this month, I had the pleasure of traveling to Nuremberg, Germany to attend Embedded World. If you have not heard about it before, Embedded World1 is the largest trade show in the embedded systems industry. This year, over 35,000 people attended and 1,100 businesses exhibited at the Nuremberg Messe.

Pioneering Insights in the Age of Intelligent Technology: AI Panel at Navigate North America 2024

Dive into the forefront of AI innovation with industry experts Rafi Qumsieh, Peter Voss, Aurora Quinn-Elmore, Blake Burch, George Munguia, and Josh Mesout as they explore the latest trends, challenges, and breakthroughs shaping the future of intelligent technology. From the surge in demand for AI chipsets and the ethical considerations of AI-generated content to the impact of open-source models and the potential of quantum computing, this panel covers the essential aspects of AI's evolving landscape.

What are the differences between artificial intelligence, machine learning, deep learning and generative AI?

While deep learning, machine learning and artificial intelligence (AI) may seem to be used synonymously, there are clear differences. One school of thought is that artificial intelligence is a larger umbrella category under which machine learning falls and deep learning falls under machine learning. Therefore, while everything that is categorized as deep learning or machine learning is part of the artificial intelligence field, not everything that is machine learning will be deep learning.

Announcing AI Error Resolution

After months of anticipation (and invaluable input from our beta testers!) we’re so excited to officially share AI Error Resolution. We can say firsthand that this tool helps developers resolve issues with renewed speed and accuracy, using AI-powered suggestions on the root cause of errors and how to fix them. Testing has shown how effectively this feature can pinpoint the source of an error and produce the most efficient method to resolve it, accelerating the entire debugging process.

Role of AI in Predictive Security Camera Monitoring

As the modern secure world faces several advanced technologies and ever-evolving security threats, the roles of artificial intelligence in predictive security camera monitoring systems have all the opportunities to be a stimulating force to protect people, properties, and public places. Thanks to the ability of AI to quickly predict threats and rapidly respond with much more accuracy than ever before, security systems can now be more tailored to surveillance and risk management needs, turning the traditional notion of this vertical upside down.

How AI-Enhanced Phones Simplify Booking in Restaurants

Imagine you're planning a night out at your favorite restaurant. Gone are the days of dialing numbers and waiting on hold. Today, AI-enhanced smartphones streamline the process, making it a breeze to secure a table. In this article, we explore how these technological marvels are transforming restaurant bookings, making the experience faster, more efficient, and personalized.

How Algebra Education Prepares Students for Data Analysis in Business

Nowadays, data drives organizational decisions, with analytics playing a key role in helping managers make informed decisions, optimize processes, and grow their companies. Data analytics has become known to be the center of modern business strategies, and many companies have learned to use lots of data to understand customers' behavior, market tendencies, and operational efficiency. However, behind the sophisticated algorithms and advanced tools lies a fundamental skill. This sentence seems out of place and unrelated to the context of algebra and data analysis.

How Data Analysis Can Boost Your Business' Growth

In the modern marketplace, data isn't just a buzzword - it's the lifeblood of business strategy. From driving smarter decision-making to fostering more targeted approaches, data analysis is the key to unlocking your business's fullest potential. And now, with the rise of advanced analytical tools and AI-driven solutions, harnessing the power of data has never been more accessible to businesses of all sizes.

The Impact of Modern Technology on Social Media

Social media has been around for quite a long time. For example, Facebook turned 20 in 2024. Think about technology from 20 years ago. In 2004, we had flip phones with limited features. Now, we have phones that can have more power than some computers. In 2004, the iPod was considered high-tech. Modern technology has dramatically changed social media, and this post will discuss this. Also, learn how you can buy IG Reels likes using ViralGrowing.

The Unsolved Challenges of LLMs in Open-Ended Web Tasks: A Case Study on the Future of Work

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.

How Proper Infrastructure Design Impacts Network Reliability

In the digital age, network reliability is paramount for businesses of all sizes. A robust and dependable network infrastructure ensures seamless operations, uninterrupted communication, and efficient data transfer. However, achieving this level of reliability hinges on a well-designed infrastructure that accounts for factors like redundancy, security, and performance optimization. Proper infrastructure design plays a critical role in reducing downtime, mitigating disruptions, and ultimately improving an organization's bottom line.

AI-driven contextual mastery for incident response

Context is fundamental to well-run tech operations, which require an understanding of systems, services, architectures, and teams to interpret the real-time data streaming in from observability and change systems. The delivery of context is crucial for effective operations performance. And it’s a universally important skill set for tech Ops teams to master.

To fix customer service in Australia, put AI to work for employees

Australian business leaders can’t seem to crack the customer experience (CX) code. According to the ServiceNow Customer Experience Intelligence Report, customer service has gotten increasingly worse over the past three years. Australians are waiting longer than ever—spending a combined 107 million hours on hold, 11% more than the previous year.

Kubernetes - From chaos to insights with AI-driven correlation of Logs and Metrics

Written by John Stimmel, Principal Cloud Specialist Account Executive, LogicMonitor It’s common knowledge that Kubernetes (commonly referred to as “K8”s) container management and orchestration provide business value by enabling cloud-native agility and superior customer experiences. By their nature, the speed and agility of Kubernetes platforms come with complexity.

AI + PSTN = Changing the UC Landscape

While last month’s Enterprise Connect 2024 (EC24) show seemed a bit light in terms of headline news, it did offer one high impact storyline around the integration of AI services with the PSTN. EC24 showcased the addition of AI services, including transcription and meeting minutes, to PSTN call using popular UC services (Teams, Zoom, Webex, Ring Central). While these have been in place for conference calls for almost a year, AI for one-to-one calls via the PSTN is new in 2024.

Ubuntu AI | S2E5 | All about Ops: DataOps, MLOps, DevOps, AIOps

The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Michelle and Andreea, Data PM and AI Product Managers, respectively, will be discussing the significance of these Ops processes in streamlining and optimizing enterprise data, machine learning, and AI projects and use cases.

Innovate & Educate: The Rise of Artificial Intelligence Education

Learning can be frustrating when it feels like it's a one-size-fits-all approach. But what if that could change? AI can tailor lessons to your learning style. Virtual tutors are always patient and ready to explain tricky math problems again. Event tests that understand what you need to learn next are a reality. It isn't science fiction - it's the power of artificial intelligence in education. This approach is transforming how we learn. It holds exciting possibilities but also raises important questions.

ChatGPT & the Enterprise: Balancing Caution and Innovation in the Age of AI

OpenAI's groundbreaking AI tool ChatGPT was officially launched on November 30th, 2022. However, it wasn't until the early months of 2023 that its impact truly began to ripple through the global consciousness. This transition from a novel technological release to a sensation that captivated the world was both rapid and remarkable. The metrics speak volumes: According to Similarweb, ChatGPT garnered around 266 million visits in December 2022.

Embracing the AI Revolution: A Leader's Perspective on the Future of Business

"In a world where change is the only constant, the rapid advancement of Artificial Intelligence (AI) is a formidable force that is redefining life and commerce. As we witness firsthand the seismic shifts occurring in the business world due to the advent of AI, the landscape is changing rapidly, and with it, the rules of engagement for companies across the globe.

NLP vs. LLMs: Understanding the differences

As AI continues to grow and solve problems across countless industries, a key part of that tech is the ability to seamlessly bridge the gap between human language and machine understanding. This is where natural language processing (NLP) and large language models (LLMs) come in. They provide distinct and specialized approaches for connecting the power of human communication with software and machines. Or in simpler terms, NLP and LLMs enable us to have human-like conversations with software.

How AI Phone Support Can Solve Common Dining Reservation Challenges

One can envision entering a realm where reserving a table at their preferred restaurant is as simple and expedient as placing a phone call, irrespective of the hour or day. This has become a tangible reality due to the technological advancements that have transformed culinary experiences. Conventional reservation systems, characterized by their congested timetables and restricted operational periods, have historically caused discontent among both patrons and dining establishments. Introduced is an innovative solution known as AI phone support for restaurant.

The role of secure data storage in fueling AI innovation

Artificial intelligence is the most exciting technology revolution of recent years. Nvidia, Intel, AMD and others continue to produce faster and faster GPU’s enabling larger models, and higher throughput in decision making processes. Outside of the immediate AI-hype, one area still remains somewhat overlooked: AI needs data (find out more here).

AI realism (part two)

Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case for the state of AI, and how we can respond to it. This is the second part; catch up with part one here. Today, we’ll talk about developing a company culture that thrives on experimentation and unpredictability. I’ll describe the conditions that can keep a product company nimble and healthy during a period of rapid change, enabling it to take advantage of emerging technologies.

How Do ITSM Systems with AI Based Collaboration Workspaces Enhance Productivity and Foster Customer Success?

With the increased demand for the digitalization and automation of business operations over the past few years, IT Service Management (ITSM) has undergone significant transformation. For IT service departments, the accelerated pace of digital transformation has brought new challenges, such as an increased dependency on IT solutions, legal and regulatory compliance, and growing IT complexity.

Honeycomb + Google Gemini

Today at Google Next, Charity Majors demonstrated how to use Honeycomb to find unexpected problems in our generative AI integration. Software components that integrate with AI products like Google’s Gemini are powerful in their ability to surprise us. Nondeterministic behavior means there is no such thing as “fully tested.” Never has there been more of a need for testing in production!

Stay up to date on the latest incidents with Bits AI

Since the release of ChatGPT, there’s been growing excitement about the potential of generative AI—a class of artificial intelligence trained on pre-existing datasets to generate text, images, videos, and other media—to transform global businesses. Last year, we released our own generative AI-powered DevOps copilot called Bits AI in private beta. Bits AI provides a conversational UI to explore observability data using natural language.

How AI is a Shift Right for IT, Robert Grazioli, CIO, Ivanti

Find out how AI can help IT reduce burnout and power better Everywhere Work in Ivanti’s latest report: ivanti.com/research. Without data, you are not going to have AI. But the key here is to have a data architecture that will enable AI, says Ivanti CIO Robert Grazioli. Citing Ivanti’s research report, Everywhere Work Report 2024, he covers why remote and hybrid work has increased the burden and responsibility on today’s IT teams, and why AI is seen by many as a solution to lessen IT stress and put the power back in the hands of the end user.

The next buzz in the city of bees: digital infrastructure, AI, and Manchester

Manchester has come a long way - from pioneering the world’s first stored program digital computer, to becoming the top tech city in the UK outside of London. The MCC 2021-2026 Digital Strategy now guides a £5bn digital economy, with more than 10,000 businesses employing over 96,000 people. It has seen the development of five unicorns and is still home to three, billion-pound businesses. So, the city of bees is buzzing.

10 Tips for Using AI in Your Stock Trading Strategy

As the financial markets continue to evolve, the incorporation of artificial intelligence (AI) into stock trading strategies has become increasingly prevalent. AI-powered trading systems provide a significant edge by harnessing real-time data, predictive analytics, and advanced pattern recognition capabilities. Software for trading stocks with AI integration plays a pivotal role in this transformation, empowering traders with sophisticated analytical tools and automated trading functionalities.

The Power of Synthetic Data to Drive Accurate AI and Data Models

We live in a data-rich world - every click, swipe, like, share, and purchase online generates data points companies use to optimize offerings. However, even vast real-world data has limitations in developing robust artificial intelligence (AI) and data models, particularly with regard to AIOps (Artificial Intelligence for IT Operations). Enter synthetic data.

5 Best AI IT Support Tools in 2024

In the world of IT support, artificial intelligence (AI) has become a game-changer, revolutionizing how organizations handle tech issues. From streamlining ticketing systems to providing instant chatbot solutions, AI for IT support has proven its worth. We’ve already explored the various applications of ChatGPT for IT support, such as writing SOPs or quick email responses. Since then, AI has evolved non-stop, widely expanding its offering and capabilities for IT Service Management (ITSM).

The Future of AI: Infra to Scale Your GenAI Apps to Success [Live Webinar]

Gain invaluable insights from industry experts on how to ensure performance, security, and cost-efficiency in your Generative AI application infrastructure. Enjoy this live webinar replay with Chiru Bhavansikar, Chief AI Officer of Arhasi, and Doron Grinstein, CEO of Control Plane. Their combined expertise provides a comprehensive guide to scaling GenAI to success. Highlights include: There's never been a better time to set up your AI infrastructure for success. Ready to get started?

Getting started with the Elastic AI Assistant for Observability and Microsoft Azure OpenAI

Recently, Elastic announced the AI Assistant for Observability is now generally available for all Elastic users. The AI Assistant enables a new tool for Elastic Observability providing large language model (LLM) connected chat and contextual insights to explain errors and suggest remediation.

Navigating the Virtual Realm: A Comprehensive Guide to Free AI Headshot Generators Online

In today's digital era, where virtual interactions have become the norm, the importance of professional imagery cannot be overstated. As individuals and businesses immerse themselves in the virtual realm, the quality of their headshots plays a pivotal role in shaping perceptions and establishing credibility. Fortunately, the emergence of Free AI Headshot Generators Online has democratized access to high-quality professional imagery. In this extensive guide, we will embark on a journey through the world of Free AI Headshot Generators Online, unraveling their functionalities, benefits, and providing illustrative examples of professional headshots.

Harnessing the Power of AI: Removing Objects from Photos with AI Technology

In the realm of digital photography, the ability to manipulate images has become more accessible and sophisticated than ever before, thanks to advancements in Artificial Intelligence (AI) technology. Among the myriad tasks in photo editing, removing unwanted objects from photos stands out as a common challenge faced by photographers and enthusiasts alike. Whether it's eliminating distractions from scenic landscapes or refining professional portraits for LinkedIn headshots, AI-powered tools offer innovative solutions to streamline the editing process. In this comprehensive guide, we explore the transformative capabilities of AI technology in removing objects from photos, empowering users to achieve impeccable results with efficiency and precision.

Agnostic AI: How to Not Choose an AI Provider

Artificial Intelligence (AI) technologies are evolving at breakneck speed. Today's cutting-edge model may become obsolete tomorrow. This rapid evolution, while exciting, presents a challenge – how to leverage the current best AI capabilities without being tied to a single model or provider. At InvGate, we apply a strategy that we call “agnostic AI” (as in platform agnostic).

AI on Public Cloud with Open Source

AI is at the heart of a revolution in the technology space. Organisations from all industries are looking for ways to put AI to work. Once they have finalised use case assessment, their next question is typically related to the environment they will use to develop and deploy their AI initiatives. They often prefer the public clouds as an initial environment, because of the computing power and ability to scale as projects mature. In addition to the infrastructure, enterprises need software where they can develop and deploy the machine learning models.

How AI and Machine Learning are Revolutionizing the Research Process

The advent of Artificial Intelligence (AI) and Machine Learning (ML) has been nothing short of transformative. Scholars across disciplines are leveraging these technologies to analyze data quickly and accurately, opening new frontiers in knowledge and understanding. The traditional research process, often laborious and time-consuming, is evolving into a more efficient and dynamic practice thanks to the computational power of AI and ML. For example, students who turn to specialized services with requests such as "Write my paper for me" can receive academic papers much faster, thanks to AI.

Accelerating generative AI experiences

Search powered AI and developer tools built for speed and scale Daily breakthroughs in large language models (LLMs) and generative AI have put developers at the forefront of the movement, influencing its direction and possibilities. In this blog, I’ll share how Elastic's search customers are using Elastic's vector database and open platform for search powered AI and developer tools to accelerate and scale generative AI experiences, giving them new avenues for growth.

Do We Still Need to "Observe"? The Future of AI & O11y

AI has had a massive impact on every part of our lives, but mainly on how we consume large data sets easily. The observability world is based on collecting enormous amounts of data and consuming it by observing dashboards built on monitoring tools. Most of the o11y tasks like writing complex queries, creating dashboards & defining alerts, have been done much in the same way for the last decade & AI models are well-positioned to disrupt this modus operandi.