Operations | Monitoring | ITSM | DevOps | Cloud

Using AI to understand what sets incident.io apart from the competition

Whenever a new customer joins incident.io, we make notes on what made them chose to buy our product and, if we were in a competitive process, why they chose us over other providers they were evaluating. It’s a lot of messy data and raw notes, but contained within is a veritable treasure trove of customer feedback. Summarising large amounts of data? Sounds like the perfect job for an LLM.

The Five Challenges to Monitoring AI Data Fabric

As AI continues to evolve, it brings about a paradigm shift in how businesses handle data. The AI data fabric, a critical component of this transformation, acts as a cohesive layer that integrates data from various sources, facilitating seamless data access and management. However, monitoring this intricate system presents a unique set of challenges for business and IT leaders. Understanding these challenges is paramount to leveraging the full potential of AI data fabrics. Want to learn more?

Logic Apps and AI - The Future of Integration

In the first episode of the series "INTEGRATE expert voices - Unplugged" Kent Weare from Logic Apps team at Microsoft, discusses AI integration in Logic Apps. He highlights democratization of tech, AI's rapid evolution in integration, and potential for automating processes. Discover the potential of prompt-based integration, AI-driven data transformation, and how Logic Apps is leading this technological shift. Get insights on embracing AI in your organization and staying competitive to drive business value in the evolving Integration landscape.

SolarWinds Day | AI: Friend or Foe?

We have entered the age of artificial intelligence. AI and machine learning promise to transform numerous domains in the coming years. And while there are plenty of reasons to be excited, no shift this significant comes without potential pitfalls. Understanding these challenges begins with an open dialogue. This SolarWinds Day, we’re scouting ahead to map the future of AI in IT. In fireside chats with industry leaders, we’ll explore strategies for optimizing how your organization uses AI and identify the risks of this new technology—before they impact your organization.

How Tech-Driven Solutions in FHA Loan Processing Can Enhance Efficiency and Accessibility

The Federal Housing Administration (FHA) loan program serves as a vital resource for many aspiring homeowners. However, the traditional methods of processing FHA loans have often been plagued by inefficiencies and complexities, creating barriers to accessibility. The integration of tech-driven solutions promises to revolutionize FHA loan processing by streamlining operations, reducing manual errors, and enhancing the overall user experience.

Manufacturing Solutions 101: Tools & Software to Improve Efficiency

Digital technology has transformed manufacturing, bringing about numerous changes that enhance efficiency and foster growth. These adaptable processes and technologies allow each brand to devise a plan for reaching its business objectives. Innovative manufacturing solutions encompass these technological advances. By leveraging digital technologies to streamline machinery, data management, supply chains, and personnel, brands can address various challenges and enhance operations. Here are some of the best tools and software.

Top tips: Four ways artists can prevent their work from being used to train AI image generation tools

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’ll discuss how artists can prevent their work from being used to train Generative AI models. Aren’t AI image generation tools impressive forms of tech? I mean, it still feels unreal (to me, at least) that you’re able to get complete works of art within a few seconds from a simple textual prompt.

Harness AI for financial services IT

IT operations teams in the financial services industry face serious challenges. Customers expect a seamless experience across a complex landscape including online platforms, mobile devices, and ATMs. Competition is fierce. Technology evolution continually disrupts the marketplace. These factors create obstacles for the teams tasked with ensuring near-perfect service availability while continuing to innovate.

GenAI for customer support - Part 1: Building our proof of concept

Welcome to the Inside Elastic blog series, where we showcase Elastic's internal operations solving real-world business challenges. This specific series will shed light on our journey to integrate generative AI into our customer success and support operations, providing you with a behind-the-scenes look at our process. We’re blogging about this capability as we’re building it, and we’re excited for you to join the ride!

Datadog on LLMs: From Chatbots to Autonomous Agents

As companies rapidly adopt Large Language Models (LLMs), understanding their unique challenges becomes crucial. Join us for a special episode of "Datadog On LLMs: From Chatbots to Autonomous Agents," streaming directly from DASH 2024 on Wednesday, June 26th, to discuss this important topic. In this live session, host Jason Hand will be joined by Othmane Abou-Amal from Datadog’s Data Science team and Conor Branagan from the Bits AI team. Together, they will explore the fascinating world of LLMs and their applications at Datadog.

Running ML/LLM models on Kubernetes Across Major Cloud Providers with Abhishek Choudhary

Abhishek, co-founder and CTO of @truefoundry, explores the complexities of building a machine learning platform on Kubernetes. Discover solutions to challenges like handling diverse hardware, managing large Docker images, and optimizing costs. Learn how True Foundry uses tools like Argo CD, Keda, and Istio to create efficient abstractions for data scientists and streamline ML operations.

Unleashing the Power of Generative AI (GenAI) in Procurement: Revolutionizing Spend Classification

In the ever-evolving landscape of business functions, GenAI (Generative Artificial Intelligence) has emerged as a transformative force. From streamlining operations to enhancing decision-making processes, GenAI is making waves across various sectors. Procurement, a critical aspect of business operations, is not immune to this wave of innovation.

5 Best Free AI Coding Tools

Have you ever found yourself bogged down by repetitive coding tasks or just curious how to speed things up? Enter AI coding tools-your new best friends in the coding world. These tools aren't just about cutting down coding time; they're revolutionizing how we approach coding problems, making the process more efficient and a whole lot more fun.

Ivanti Neurons for ITSM powered by AI

Revolutionizing IT Service Management with AI: Ivanti Neurons for ITSM Welcome to a new era of IT service management, transformed by AI. AI streamlines incident processes, minimizes manual effort, and enhances response times by automatically classifying incidents. It also automates troubleshooting, fostering a self-healing environment. An AI-powered system delivers superior employee experiences, while generative AI capabilities summarize incidents and create knowledge articles. This enhanced support benefits both end users and service desk agents.

InsightBench: A Benchmark for Evaluating End-to-End Data Analytics Agents

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.

Developing Gen AI with NLP for ITSM Platform: A New Era of Admin Analytics

Gen AI, equipped with NLP capabilities, is under development to generate real-time widgets and insights from the ITSM platform for admin analysts. This interface will enable analysts to ask specific questions like ticket resolution stats. Gen AI will provide yearly and monthly insights, interact with Gen AI, and create dashboard charts. This innovative solution, combining Gen AI, NLP, and MLNLP technologies, is expected to launch by year's end.

Monitor, troubleshoot, improve, and secure your LLM applications with Datadog LLM Observability

Organizations across all industries are racing to adopt LLMs and integrate generative AI into their offerings. LLMs have been demonstrably useful for intelligent assistants, AIOps, and natural language query interfaces, among many other use cases. However, running them in production and at an enterprise scale presents many challenges.

How AI is Transforming the AdTech Industry

The global AdTech market is experiencing exponential growth, driven by the rising demand for speed, personalized advertising, and the proliferation of digital platforms. Key trends include the rise of connected TV (CTV) advertising, in-app advertising, rich media, and interactive ads, as well as the growing importance of privacy and data security.

Top 5 AI Star Stocks that are leading the Future of Technology

Ever wondered how Artificial Intelligence (AI) is affecting ongoing tech advancements? Nowadays, AI is everywhere, entering almost every corner of technology, with multiple applications, all geared at making our lives easier. With this rapid growth, it's more than clear that AI will continue to be used even more in the future - and hence, there are plenty of investors globally who are putting money into this industry.

The Evolution of Wearable Tech in Health and Fitness

Imagine a world where your watch not only tells time but also monitors your heart rate, tracks your sleep, and even nudges you to get moving. Welcome to the era of wearable tech in health and fitness! This technological revolution is transforming our approach to personal wellness, making it more personalized, data-driven, and accessible than ever before.
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Unlocking the power of private AI for your SAP landscape: Avantra AIR

Avantra is excited to unveil Avantra AIR, an AI driven extension of the Avantra platform that promises to transform how SAP powered organizations operate. With Avantra Air, we're continuing our journey to empower businesses to harness the full potential of their SAP data, break down silos, and drive unprecedented efficiency and innovation.

AI Meets Network Monitoring: Now What?

Join Dave Rubinstein, Editor-in-Chief of ITOps Times, as he hosts an enlightening discussion with Kentik's Leon Adato and Charlcye Mitchell on the convergence of AI and network monitoring. This webinar explores both the potential and limitations of AI in networking, providing a deep dive into how AI can add value and where it might be overhyped.

AI Essay Writing: Pros, Cons, and Everything In Between

Artificial Intelligence (AI) is transforming various domains, and essay writing is no exception. AI essay writing tools have become indispensable, offering advanced features that help create, edit, and optimize written content. These tools utilize sophisticated algorithms to enhance writing quality, making them invaluable for students, professionals, and writers alike.

Empowering Education: The Impact of AI-Generated Essays on Academic Success

Academic life can be demanding, with numerous assignments and tight deadlines. AI-generated essays can significantly reduce the time spent on writing tasks. Students can use these essays as a base, adding their unique insights and research. This approach not only saves time but also alleviates the stress associated with completing assignments. Consequently, students can concentrate on other crucial academic activities.

Vertical AI: How Does It Outpace Legacy SaaS with Innovative Solutions?

Vertical AI is a type of generative artificial intelligence (AI) tailored to meet the specific needs of a particular industry or sector. Unlike general AI, which aims to perform various tasks across various fields, vertical AI hones in on specialized applications, offering solutions uniquely suited to particular industries. This specialization allows for deeper integration and more effective problem-solving within those industries.

6 Genius Ways AI Can Revolutionize Your Customer Experience

Are you ready to transform your customer experience like never before? Discover how AI can revolutionize your approach, providing personalized, efficient, and seamless interactions. This article is going to explore ingenious ways artificial intelligence can elevate your customer service, making your business stand out in today's competitive market. Get ready to supercharge your customer satisfaction and loyalty!

Understanding the Power of AI Data Fabric

The rapid adoption of Generative AI (GenAI) tools, such as ChatGPT, has transformed various sectors, including marketing, legal, and software development. However, this rapid integration brings challenges, such as managing critical data access, mitigating costs, and ensuring compliance. To address these complexities, enterprises need to upgrade their data center management with an AI Data Fabric Copilot.

What is Generative AI - Everything You Need to Know

This episode of Azure on Air with Azure MVP's Toon Vanhoutte and Lex Hegt provides a comprehensive introduction to generative AI and retrieval-augmented generation, highlighting the capabilities and potential applications of the technology. Toon's practical demonstration of the job matcher copilot showcases the power of Azure OpenAI Service and its ability to deliver accurate and contextually relevant answers to complex queries.

AI Agent Assistance for Customer Support: Everything You Should Know

Bringing in Artificial Intelligence (AI) into customer support functions has become increasingly crucial. AI agent assistance represents a mix of human expertise and AI capabilities, aiming to enhance the quality and speed of customer service. It streamlines support operations while measurably improving customer experience by providing timely, accurate, and personalized assistance.
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How AI and ML Are Revolutionizing Incident Management in IT Ops

In today’s digital landscape, IT operations face unique challenges and pressures unlike those of the past. Currently, the cost of a service failure for medium and large enterprises is estimated to exceed $100,000 per hour. At present high incident management costs, coupled with the impact on customer satisfaction, present significant challenges for enterprises. To resolve this challenge AI and ML assists in enhancing the overall management of incidents and reducing response times.

Use Cribl Copilot to Build a GDPR-compliant Data Pipeline

Cribl Copilot accelerates your productivity, activates the afterburners of your team’s efficiency, eliminates pilot error by closing the skills gap, and gives you a smooth landing of value with your Cribl Stream, Edge, Search, and Lake investment. It’s the fastest and easiest way to make the value of your Cribl data engine soar. Cribl’s Observability Professor is back with another Cribl Copilot demo! Instead of manually building a GDPR-compliant data pipeline, let Cribl Copilot act as your AI wingman and do the heavy lifting!​

Cribl Copilot Accelerates Your Team's Efficiency in Managing IT and Security Data at Scale

Take off on Day 1 of your deployment with Cribl Copilot – your AI wingman – integrating Cribl’s portfolio with your data. AI-powered Cribl Copilot accelerates your productivity, activates the afterburners of your team’s efficiency, eliminates pilot error by closing the skills gap, and gives you a smooth landing of value with your Cribl Stream, Edge, Search, and Lake investment. It’s the fastest and easiest way to make the value of your Cribl data engine soar.

Harnessing AI for Personalized Learning: Revolutionizing Education

In today's dynamic educational landscape, the concept of personalized learning stands as a pivotal advancement in pedagogical practice. Traditionally, education has often employed a one-size-fits-all approach, expecting students to absorb knowledge uniformly. However, with the rapid evolution of Artificial Intelligence (AI) and sophisticated data analytics, educators now wield powerful tools like word count reducer to tailor learning experiences to the distinct needs of each learner. This article delves into how AI facilitates personalized learning, leveraging machine learning algorithms, natural language processing (NLP), and advanced data analytics.

The Third Principle of AI by Design: Transparency and Trust

This is the 3rd article in our Orange Matter series on AI by Design IT professionals must trust their tools. When it comes to artificial intelligence (AI) solutions, trust is built on several factors, such as the adoption of privacy and security practices and safeguards against algorithmic bias. In this article, we explore the third principle of our AI by Design framework and discuss how SolarWinds navigates transparency challenges to cultivate user trust in our AI systems.

The Importance of Accurate Data to Get the Most From AI

The IT service community is rightly buzzing about the wealth of possibilities AI offers to automate service management operations and better assist customers — especially in this age of expanding Everywhere Work. But without sound data, the path to leveraging AI for IT service management becomes quite daunting. With so many more people working outside a traditional office setting, more end users than ever are logging in more often to access employee services.

Is Artificial Intelligence for Infrastructure and Operations really just Intelligent Automation?

Artificial Intelligence (AI) tools have the potential to revolutionize IT infrastructure and operations (ITOps) by automating routine tasks, enhancing system reliability, and improving efficiency. However, the term “Artificial Intelligence” can sometimes be misleading in this context. A more accurate description might be “Automated Intelligence” because these tools often automate predefined tasks and processes rather than exhibit true cognitive intelligence.

The Impact of AI on Data Accuracy

Decomplexify Your Everything Chrystal Taylor and Jeff Stewart The increasing complexity of IT means new skills are always needed to keep up and stay relevant, but acquiring new skills takes time. Having the right set of tools is essential for success. In this session, we'll break down how to decomplexify and what the heck that means. It's time to consolidate what can be consolidated, break down barriers, reduce waste, and manage the madness.

What is Business Consulting? Starting A Consulting Business With Software & Workflow AI

Business consultants are leveraging software and workflow AI to radically elevate service delivery. ‍ According to a survey by Hinge Marketing, the top three reasons businesses hire consultants are to (70%) access specialized expertise, (52%) gain an outside perspective, and (44%) supplement internal resources.

LLMs can learn self-restraint through iterative self-reflection

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. This session features Alexandre Piché's recent work on reducing hallucinations with the ReSearch algorithm: an approach based on iterative search and self-evaluation to produce more factual generations.

Building smart data platforms with AI to drive business innovation

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.

How OpsRamp's Operations Copilot Will Bring Us One Step Closer to Autonomous IT Operations

As a key part of furthering its autonomous IT operations vision, OpsRamp, a Hewlett Packard Enterprise company, this week announced its new operations copilot feature, a natural-language interface that enables enterprises to identify, predict and solve IT problems more quickly by converting machine data into a human-friendly and actionable form.

OpsRamp Extends Observability to AI Infrastructure

Artificial intelligence is a game-changing technology across industries and business processes, designed to make workers more efficient, reduce the steps it takes to complete a task, and gain answers and insights faster. But those powerful capabilities also put new demands on compute infrastructure and this requires a new class of infrastructure observability metrics.

Monitor your AWS generative AI Stack with Datadog

As organizations increasingly leverage generative AI in their applications, ensuring end-to-end observability throughout the development and deployment lifecycle becomes crucial. This webinar showcases how to achieve comprehensive observability when deploying generative AI applications on AWS using Amazon Bedrock and Datadog.

Real World Observability AI: An Interactive Chat with Logz.io IQ Assistant

Deep dive into the different use cases and applications for Logz.io IQ Assistant. See how Logz.io's AI-based observability insights are enabling teams to efficiently and effectively tackle common observability hurdles including rising costs and troubleshooting times.

Remediate Google Cloud issues with new actions in Workflow Automation and App Builder

Datadog Actions help you respond to alerts and manage your infrastructure directly from within Datadog. This can be done by creating workflows that automate end-to-end processes or by using App Builder to build resource management tools and self-serve developer platforms. With more than 550 available actions, Datadog Actions offers capabilities such as creating Jira tickets, resizing autoscaling groups, and triggering GitHub pipelines.

Observability for LLMs

So, your company uses LLMs? You’re not the only ones. A survey by Gartner in October 2023 revealed that 55% of organizations were piloting or releasing generative AI projects, and it’s safe to assume that this number has increased since that survey was published. From personalized recommendations in e-commerce, to automated grading in education and fraud detection in finance, LLMs have helped many organizations level up.

The Second Principle of AI by Design: Accountability and Fairness

SolarWinds has launched AI by Design, a set of guiding principles for integrating artificial intelligence (AI) into our IT management solutions. In the third article in our series exploring this dynamic framework, we’ll examine how SolarWinds places Accountability and Fairness at the center of our strategy for ethical AI. Let’s get started.

Real-world Observability AI: An Interactive Chat with Logz.io IQ Assistant

There’s so much hype around the use of AI in observability — but how does that translate into making tangible progress with your day-to-day tasks? At Logz.io we’ve introduced an AI-based chatbot assistant to the Open 360 platform that automatically delves into your stack, fine-tunes your workflows and enables conversation directly with your systems and data.

Top 5 reasons to use Ubuntu for your AI/ML projects

For 20 years, Ubuntu has been at the cutting edge of technology. Pioneers looking to innovate new technologies and ideas choose Ubuntu as the medium to do it, whether they’re building devices for space, deploying a fleet of robots or building up financial infrastructure. The rise of machine learning is no exception and has encouraged people to develop their models on Ubuntu at different scales.

Is Your Data Center Ready for AI? 3 Hidden Bottlenecks You Need to Know

The rapid adoption of Generative AI (GenAI) tools like ChatGPT is transforming how businesses operate. These tools hold immense potential, impacting everything from marketing campaigns to legal research and software development. A recent study by PwC found that a staggering 54% of companies had integrated GenAI into their workflows as of November 2023 – a testament to the technology’s rapid adoption. However, this rapid integration presents challenges for IT leaders.

How is AI Transforming Truck Accident Prevention in St. Louis?

St. Louis, Missouri, is a central hub for a significant portion of the country's cargo and freight transportation. However, with the convergence of major highways, the city faces a significant challenge with a large influx of truck traffic. Unfortunately, this raises the likelihood of severe accidents. These accidents result in significant economic losses and profoundly impact the lives of those involved and their families.

The Trends Of Large Language Models Development

The healthcare industry is witnessing a transformative wave driven by the rapid advancement of generative AI and Large Language Models (LLMs). These cutting-edge technologies have the potential to revolutionize various aspects of healthcare, from medical documentation and research to personalized treatment plans and drug discovery. As the adoption of generative AI continues to grow, it's imperative to understand the trends and implications of this powerful technology in the healthcare domain.

Accelerating Innovation with MLOps Mastery

Machine Learning Operations (MLOps) is a methodology that combines machine learning (ML) with the principles of DevOps to streamline the development, deployment, and management of ML models. It addresses the unique challenges associated with operationalising ML, such as model versioning, reproducibility, and scalability.

Introducing Raygun AI Error Resolution for Aspire

Last month, we rolled out Raygun4Aspire, our Crash Reporting client for.NET Aspire applications. That release included a free, lightweight version of the full Raygun web app that runs locally. After the successful launch of our recent AI Error Resolution feature for Crash Reporting, we knew that we had to bring this feature into the Aspire local development experience. Today, we’re thrilled to announce that AI Error Resolution for Raygun4Aspire is now available for all Aspire app developers!

A Recap of Gartner Security and Risk Summit: GenAI, Augmented Cybersecurity, Burnout

Last week, on June 3 -5, I attended the Gartner Security and Risk Summit in National Harbor, MD to learn about the latest trends and happenings in security. One thing was clear, artifical intelligence (AI) is the hot topic along with the growing cybersecurity staff shortage due to burnout and lack of talent.

Reduce Downtime and Boost Efficiency with AI and Automation

IT service outages, while inconvenient, also carry widespread ramifications that affect productivity, revenue streams, business reputation, and customer satisfaction. These outages can also drive burnout and increased human error for the IT operations (ITOps) teams tasked with managing the stress that comes with urgent issues and escalations.

Navigating AI Adoption in MSPs

Explore how AI is transforming the MSP industry, from strategic applications to regulatory concerns, with Nicole Reineke, AI Strategist at N-able. Join Pete Roythorne and Nicole Reineke, AI Strategist at N-able, as they dive into the evolving role of AI in the Managed Service Provider (MSP) industry. Discover how AI is being utilized beyond marketing and code creation, the current opportunities, regulatory challenges, and strategies for MSPs to integrate AI effectively.

How to Transform IT Operations with AI-Infused, Full-Stack Observability

In today's fast-paced digital landscape, maintaining robust and efficient IT operations is more critical than ever. As organizations embrace complex infrastructures, integrating cloud services, microservices, and distributed architectures, the need for comprehensive visibility across the entire stack becomes paramount.

The Role of AI in Modern Call Centers: Enhancing Personal Customer Interactions

In an age where every customer interaction counts, how can you ensure that your call center isn't just meeting expectations but exceeding them? Integrating Artificial Intelligence (AI) into your operations offers a transformative solution. This technology not only streamlines processes but also enriches personal customer interactions, paving the way for a seamless and fulfilling customer experience.

What is hybrid observability? Transform ITOps with AI insights

In today’s rapidly evolving technological landscape, IT teams grapple with the complexities of managing hybrid environments, where on-premises infrastructure coexists with cloud-based services. A report by 451 Research highlights the prevalence of this challenge, revealing that over 60% of organizations operate in hybrid environments. Yet, many struggle to manage the intricacies of this architecture effectively.

Best Practices for Securely Implementing ChatGPT in Your Organization

Businesses today seek faster communication and better customer interaction. They aim to understand needs better and offer quick help. This directly increases customer satisfaction and loyalty. To achieve this, they're considering solutions like ChatGPT. It is an extremely effective AI chatbot.

AI-Assisted Incident Management Communication

‍ AI has revolutionized various aspects of incident response, from preparation to resolution. Across the incident response lifecycle, AI is being leveraged to streamline processes, reduce noise, and improve overall efficiency. One critical area where AI is making a significant impact is in incident communication. Effective and efficient communication is crucial during incidents, as it ensures that stakeholders are informed and aligned with the incident status and resolution efforts.

Reducing MTTR and the Hidden Costs of Downtime Through AI & Automation

Of all the KPIs that gauge the health and operational fitness of an enterprise, Mean Time to Repair (MTTR) from an outage or downtime is one of the most crucial. Yet while MTTR is a universally recognized metric, many organizations still fail to consider the total cost of MTTR when deciding where and how to invest in their IT environments.

Implementing AI Technologies into Developer Tools with Tsavo Knott

In this talk, Tsavo Knott, CEO and technical co-founder of @getpieces, discusses how AI technologies are transforming developer tools. From small task-specific models to large conversational and vision processing models, learn how Pieces has built a world-class product for macOS, Linux, and Windows. Tsavo and Chief AI Officer Sam reveal the challenges and breakthroughs in integrating AI into every aspect of the developer experience. Don't miss the live demos and insights into the future of AI in software development.

Taking a GenAI Project to Production

Generative AI and Large Language Models (LLMs) are the new revolution of Artificial Intelligence, bringing the world capabilities that we could only dream about less than two years ago. Unlike previous milestones, such as Deep Learning, in the current AI revolution, everything is happening faster than ever before. Many feel that the train is about to leave the station, and since we are talking about bullet trains – every day matters.

Is investing in AI-driven cloud services worth the expense?

Artificial intelligence (AI) is the next significant technological frontier, poised to revolutionize the tech sector, particularly through its massive impact on cloud infrastructures. By 2024, this transformation is expected to be as widespread as managed Kubernetes services, with an estimated 70% of organizations utilizing managed AI services in their cloud setups.

The History of AI in the Workplace

Today, Artificial Intelligence (AI) is at the top of every technology leader’s mind. What technologies should you incorporate? Who should you partner with to get the most out of AI investments? How best to implement AI within the workplace? To answer these questions, we first need a better understanding of how we got here.

Generative AI for Knowledge Management: Pros, Cons and Best Practices

Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Along with the hype comes concerns about privacy, personal identifiable information (PII), security and accuracy. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Many seek the “sweet spot” – enabling benefits right now while identifying more strategic future uses, all without compromising security.

AI Knowledge Management: How to Use Generative AI for Knowledge Bases

Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Along with the hype comes concerns about privacy, personal identifiable information (PII), security and accuracy. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Many seek the “sweet spot” – enabling benefits right now while identifying more strategic future uses, all without compromising security.

Decoding AI: Real Threats and Misconceptions

Artificial Intelligence (AI) is more than just a trending topic; it's a groundbreaking innovation that fundamentally changes industries and society. According to a report by PwC, AI could contribute up to $15.7 trillion to the global economy by 2030, making it one of the most significant technological advancements of our time. One of the practical applications of AI that has gained traction is the use of AI prompts in creative and educational contexts.

Harnessing AI for Cybersecurity: Beating AI Attackers at Their Own Game

In the rapidly evolving landscape of cybersecurity, AI-powered attackers are becoming increasingly sophisticated. To counter these threats, organizations must adopt advanced security technologies that leverage AI technology as part of a multi-layered approach to security.

Six key capabilities of an AIOps platform

Unplanned downtime can cost large enterprises almost $1.5 million per hour, according to a recent survey by Enterprise Management Associates. AIOps offers a solution. With an effective AIOps platform in place, you can decrease the frequency and cost of outages by 30% and reduce their duration to under an hour. AIOps platforms apply AI and machine learning to complex IT data to enhance and automate IT operations.

Aiven workshop: Preparing and Using Data for AI with LangChain and OpenSearch

In this workshop we’ll work together to generate embeddings for podcast transcriptions and load that data into OpenSearch. Then we’ll search the documents using similarity search and use those results to improve our responses from an LLM (Large Language Model). Along the way we’ll explain the Retrieval Augmented Generation (RAG) pattern and show how it’s possible to try different LLMs without having to completely rewrite your code.

Taloflow raises $1.3M to automate the soul-sucking software vendor selection process

Taloflow, a Y Combinator W21-batch company, has raised $1.3 million in funding. This investment comes from Wonder Ventures, First Check Ventures, and many notable founders, including the founders of PEER 1, Sacra, and Hootsuite, who share our vision for software vendor selection. Today also marks the launch of our collaborative AI notebook – two years in the making – which automates the research to evaluate tech vendor capabilities for any use case in dozens of B2B categories.

2024 SRE Report: AI is not replacing human intelligence anytime soon

Automation cast a shadow over the future of work for many years. Generative AI (GenAI) is now the latest innovation stealing all the headlines, fueling countless debates and fears about machines taking over human jobs. However, our 2024 SRE Report offers a perspective that challenges this notion.

How We Build Serverless AI with Civo and Deep Green with Matt Butcher & Chris Matteson

Join Matt Butcher and Chris Matteson from @fermyontech as hey explore how serverless AI is built using Civo and Deep Green. They discuss optimizing GPU usage, the advantages of WebAssembly, and demonstrate a practical application for sentiment analysis. Discover how Deep Green's sustainable technology is making a difference in AI performance and efficiency.
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AI engineering for AI Error Resolution

Smart engineering teams are working out how to use Large Language Models (LLMs) to solve real business problems. At Raygun, we're no exception, and we're committing our time and effort to developing AI software applications that bring value to our customers. Our first AI-powered release is AI Error Resolution (AIER), a novel Crash Reporting feature that takes debugging with ChatGPT to the next level. We know that LLMs have already dramatically increased software engineers' productivity.

Logz.io Upgrades App 360, Kubernetes 360 with AI Assistant, New Tracing Quickview

At Logz.io, we believe the future of observability will center on the rapid advancement of automation, innovations around artificial intelligence, and streamlining processes that currently remain far too complex. This is no different than many other areas of technology, but the opportunities in observability are vast, and we see all of these areas connecting and driving improvements to the Logz.io Open 360 platform.

Generative AI: A Boon with Hidden Burdens for IT

The landscape of artificial intelligence has undergone a seismic shift in recent times. The rise of Generative AI (GenAI) tools like ChatGPT has sparked a revolution, with applications blossoming across various industries. According to recent estimates, 54% of companies had integrated GenAI into their business processes by November 2023. This level of adoption is remarkable, given the nascent stage of these technologies.

Relieving the IT Burden: A Sneak Peek at Martello's AI Strategy

Authors: Randah McKinnie – VP Product at Martello, Doug Bellinger – Martello CTO Since large language models and image generators burst onto the scene about a year and a half ago, AI has sparked a mix of excitement, wonder and controversy. Everybody knows it’s a game-changer and no one wants to be left out — even if they’re not quite sure what to do with it yet.

Delivering Generative AI Solutions in the Enterprise with James Gress

Join James Grass, Senior Technology Architect at @Accenture as he delves into the impact of generative AI on enterprise solutions. Learn about the latest advancements, challenges, and practical applications in the field, including insights on OCI, Coher, and ChatGPT. Discover how organizations are leveraging AI to transform their processes and stay ahead in a rapidly evolving technological landscape.

Deploy GenAI applications with Canonical's Charmed Kubeflow and NVIDIA NIM

It’s been over two years since generative AI (GenAI) took off with the launch of ChatGPT. From that moment on, a variety of applications, models and libraries were launched to address market needs and simplify enterprise activity. As Deloitte observes in its State of Generative AI Q2 2024 report, organisations are now at a stage where they are ready to move beyond pilots and proof of concepts and start creating value – but bringing AI models to production can prove highly complex.