logo
ServiceNow AI Platform Launches at Knowledge 2025 Event

ServiceNow AI Platform Launches at Knowledge 2025 Event

TECHx10-05-2025
Home » Tech Value Chain » Global Brands » ServiceNow AI Platform Launches at Knowledge 2025 Event
ServiceNow (NYSE: NOW) has officially introduced the ServiceNow AI Platform at its annual Knowledge 2025 event. The platform is designed to support any AI, any agent, and any model helping enterprises scale AI across systems.
It brings new innovations and deeper integrations with key technology partners. These include NVIDIA, Microsoft, Google, and Oracle. The goal is to boost enterprise-wide orchestration and deliver measurable outcomes.
Businesses today face system silos, scattered data, and unclear AI strategies. At the same time, they must cut costs and increase efficiency. ServiceNow's new platform aims to simplify operations and unlock the value of AI.
The company reports that 55% of organizations using agentic AI have improved gross margins. This contrasts with 22% of companies not yet exploring AI. These findings are from the ServiceNow Enterprise AI Maturity Index.
With 20+ years of automation expertise, ServiceNow is positioning its AI platform as a way to help organizations move from pilots to full-scale AI deployment.
CEO Bill McDermott said the platform enables transformation in real time. He stated that ServiceNow is the only company that can orchestrate AI, data, and workflows on a single platform.
The ServiceNow AI Platform features a conversational AI Engagement Layer. This layer lets users carry out complex tasks using integrated tools: Knowledge Graph
Workflow Data Fabric
AI Agent Fabric
These tools allow AI agents to work across data systems and organizational frameworks. ServiceNow also announced several new capabilities at the event.
Key features include: AI Control Tower: A unified command center to manage and govern all AI agents, models, and workflows—ServiceNow or third-party. It supports secure, scalable enterprise automation.
AI Agent Fabric: A communications layer for AI ecosystems. It connects agents across vendors like Microsoft, NVIDIA, Google, and Oracle. Agents can coordinate, share context, and complete tasks across teams.
Another major release is ServiceNow's next-gen CRM. This AI-powered tool merges sales, service, and fulfillment on one platform. It supports the full customer lifecycle, from quote to renewal.
Additionally, ServiceNow and NVIDIA co-developed the Apriel Nemotron 15B. This large language model supports fast, cost-effective reasoning. It is optimized for performance, scale, and accuracy. Businesses can deploy agentic AI with lower latency and lower inference costs.
ServiceNow is calling the platform a foundation for future-ready enterprises. The platform aims to reduce tech debt, improve productivity, and streamline workflows using real-time AI orchestration.
The launch of the ServiceNow AI Platform marks a new phase in the company's strategy to be a core player in enterprise AI adoption.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Bain & Company releases brief on the future of financial planning
Bain & Company releases brief on the future of financial planning

Zawya

time2 days ago

  • Zawya

Bain & Company releases brief on the future of financial planning

Middle East. Bain & Company has released a brief, The Future of Financial Planning Is Autonomous, which explores how generative AI and intelligent agents are transforming the way companies plan, forecast, and allocate capital. According to the brief, traditional budgeting cycles are too slow and rigid for today's volatile markets. AI-native agents embedded in enterprise resource planning (ERP) systems are enabling companies to update forecasts continuously, adjust budgets automatically, and deliver real-time strategic insights to leadership teams. These systems mark the beginning of a new era of intelligent, autonomous finance. More than 25% of finance teams now use some form of machine learning in quarterly planning, with adoption rates for generative AI accelerating rapidly. Generative AI enables faster and more accurate forecasting by synthesizing signals from unstructured data and providing scenario-based insights. Agentic AI takes it a step further by autonomously managing end-to-end forecasting workflows. The brief also details how leading organizations like Microsoft are embedding AI agents into core FP&A functions, from forecasting and variance analysis to reconciliation and reporting, significantly reducing cycle times and boosting responsiveness. Bain outlines three clear paths to modernizing planning: streamlining existing processes, enhancing them with AI, or fully reinventing the operating model. Companies like Eaton and Hilti are profiled as early leaders who have embraced integrated, agile planning models, delivering both speed and strategic agility. About Bain & Company Bain & Company is a global consultancy that helps the world's most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today's urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

Bain & Company Releases Brief on the Future of Financial Planning
Bain & Company Releases Brief on the Future of Financial Planning

Web Release

time2 days ago

  • Web Release

Bain & Company Releases Brief on the Future of Financial Planning

Bain & Company Releases Brief on the Future of Financial Planning Middle East, August 08, 2025. Bain & Company has released a brief, The Future of Financial Planning Is Autonomous, which explores how generative AI and intelligent agents are transforming the way companies plan, forecast, and allocate capital. According to the brief, traditional budgeting cycles are too slow and rigid for today's volatile markets. AI-native agents embedded in enterprise resource planning (ERP) systems are enabling companies to update forecasts continuously, adjust budgets automatically, and deliver real-time strategic insights to leadership teams. These systems mark the beginning of a new era of intelligent, autonomous finance. More than 25% of finance teams now use some form of machine learning in quarterly planning, with adoption rates for generative AI accelerating rapidly. Generative AI enables faster and more accurate forecasting by synthesizing signals from unstructured data and providing scenario-based insights. Agentic AI takes it a step further by autonomously managing end-to-end forecasting workflows. The brief also details how leading organizations like Microsoft are embedding AI agents into core FP&A functions, from forecasting and variance analysis to reconciliation and reporting, significantly reducing cycle times and boosting responsiveness. Bain outlines three clear paths to modernizing planning: streamlining existing processes, enhancing them with AI, or fully reinventing the operating model. Companies like Eaton and Hilti are profiled as early leaders who have embraced integrated, agile planning models, delivering both speed and strategic agility. The full brief is available at:

GPT-5 is here: Here's why the entire AI industry is watching
GPT-5 is here: Here's why the entire AI industry is watching

Gulf Business

time2 days ago

  • Gulf Business

GPT-5 is here: Here's why the entire AI industry is watching

Image credit: Getty Images OpenAI's GPT models are the AI technology that powers the popular ChatGPT chatbot, and GPT-5 will be available to all 700 million ChatGPT users, OpenAI said. Read- The big question is whether the company that kicked off the generative AI frenzy will be capable of continuing to drive significant technological advancements that attract enterprise-level users to justify the enormous sums of money it is investing to fuel these developments. The release comes at a critical time for the AI industry. The world's biggest AI developers – Alphabet, Meta, Amazon and Microsoft, which backs OpenAI – have dramatically increased capital expenditures to pay for AI data centers, nourishing investor hopes for great returns. These four companies expect to spend nearly $400bn this fiscal year in total. OpenAI is now in early discussions to allow employees to cash out at a $500bn valuation, a huge step-up from its current $300bn valuation. Top AI researchers now command $100m signing bonuses. 'So far, business spending on AI has been pretty weak, while consumer spending on AI has been fairly robust because people love to chat with ChatGPT,' said economics writer Noah Smith. 'But the consumer spending on AI just isn't going to be nearly enough to justify all the money that is being spent on AI data centers.' OpenAI is emphasising GPT-5's enterprise prowess. In addition to software development, the company said GPT-5 excels in writing, health-related queries, and finance. 'GPT-5 is really the first time that I think one of our mainline models has felt like you can ask a legitimate expert, a PhD-level expert, anything,' OpenAI CEO Sam Altman said at a press briefing. 'One of the coolest things it can do is write you good instantaneous software. This idea of software on demand is going to be one of the defining features of the GPT-5 era.' In demos on Thursday, OpenAI showed how GPT-5 could be used to create entire working pieces of software based on written text prompts, commonly known as 'vibe coding.' One key measure of success is whether the step up from GPT-4 to GPT-5 is on par with the research lab's previous improvements. Two early reviewers told Reuters that while the new model impressed them with its ability to code and solve science and math problems, they believe the leap from the GPT-4 to GPT-5 was not as large as OpenAI's prior improvements. Even if the improvements are large, GPT-5 is not advanced enough to wholesale replace humans. Altman said that GPT-5 still lacks the ability to learn on its own, a key component to enabling AI to match human abilities. On his popular AI podcast, Dwarkesh Patel compared current AI to teaching a child to play a saxophone by reading notes from the last student. 'A student takes one attempt,' he said. 'The moment they make a mistake, you send them away and write detailed instructions about what went wrong. The next student reads your notes and tries to play Charlie Parker cold. When they fail, you refine the instructions for the next student. This just wouldn't work.' More thinking Nearly three years ago, ChatGPT introduced the world to generative AI, dazzling users with its ability to write humanlike prose and poetry, quickly becoming one of the fastest growing apps ever. In March 2023, OpenAI followed up ChatGPT with the release of GPT-4, a large language model that made huge leaps forward in intelligence. While GPT-3.5, an earlier version, received a bar exam score in the bottom 10 per cent, GPT-4 passed the simulated bar exam in the top 10 per cent. GPT-4's leap was based on more compute power and data, and the company was hoping that 'scaling up' in a similar way would consistently lead to improved AI models. But OpenAI ran into issues scaling up. One problem was the data wall the company ran into, and OpenAI's former chief scientist Ilya Sutskever said last year that while processing power was growing, the amount of data was not. He was referring to the fact that large language models are trained on massive datasets that scrape the entire internet, and AI labs have no other options for large troves of human-generated textual data. Apart from the lack of data, another problem was that 'training runs' for large models are more likely to have hardware-induced failures given how complicated the system is, and researchers may not know the eventual performance of the models until the end of the run, which can take months. At the same time, OpenAI discovered another route to smarter AI, called 'test-time compute,' a way to have the AI model spend more time compute power 'thinking' about each question, allowing it to solve challenging tasks such as math or complex operations that demand advanced reasoning and decision-making. GPT-5 acts as a router, meaning if a user asks GPT-5 a particularly hard problem, it will use test-time compute to answer the question. This is the first time the general public will have access to OpenAI's test-time compute technology, something that Altman said is important to the company's mission to build AI that benefits all of humanity. Altman believes the current investment in AI is still inadequate. 'We need to build a lot more infrastructure globally to have AI locally available in all these markets,' Altman said.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store