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ServiceNow's generative AI solutions are taking advantage of the data on its own platform

TechCrunch · 1y ago

ServiceNow's generative AI solutions are taking advantage of the data on its own platform

ServiceNow is leveraging generative AI to optimize workflows and improve productivity for its customers. By integrating AI into its workflows, the company aims to provide faster responses to customer requests, streamline repetitive tasks for agents across departments, and even automate processes like converting text to code or turning images into workflows. ServiceNow is implementing a unique AI strategy that combines building, buying, and partnerships to meet the diverse needs and readiness levels of its customers. The company has seen positive results from its AI efforts, with customers experiencing improvements in ticket deflection, knowledge base summarization, and enhanced customer experiences.

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75% of tech leaders plan GenAI implementation within next year: report

Economic Times

Economic Times · 10m ago

75% of tech leaders plan GenAI implementation within next year: report

- Seventy-five percent of technology leaders plan to implement Generative AI within the next year. - Technological disruption is identified as the top external factor impacting businesses in the coming years. - Competitive advantage in industries will depend on the effective use of AI. - Generative AI is expected to significantly improve risk assessment for businesses. - Cloud-based services are increasingly being adopted to connect data, analytics, and software. - Businesses are prioritizing the consolidation of siloed datasets into a single platform to enable AI/ML capabilities and faster deployment of models.

GenAI spending by banks to reach $85 billion globally by 2030

Economic Times

Economic Times · 1y ago

GenAI spending by banks to reach $85 billion globally by 2030

According to a report, banks are projected to spend $85 billion on generative AI (GenAI) by 2030, a 1,400% growth from the current global spending of $6 billion in 2024. Leading banks are expected to adopt generative AI services to offer personalized user experiences and reduce costs. Generative AI platforms can create text, images, and other media by learning patterns and structure from training data. The report emphasizes the importance of investing in GenAI now to gain a competitive advantage.

Accenture, Adobe join forces to develop personalised gen-AI solutions

Economic Times

Economic Times · 1y ago

Accenture, Adobe join forces to develop personalised gen-AI solutions

Accenture has partnered with Adobe to develop industry-specific solutions using Adobe Firefly and other generative AI models. The collaboration aims to integrate Adobe Firefly Custom Models into Accenture Song's marketing services, providing organisations with industry-specific information to train models on their own data and brand guidelines. Initially, the solutions will focus on retail, automotive, financial services, and healthcare industries. This partnership will leverage Accenture's data and AI capabilities, along with its systematic approach to responsible AI, to drive unified brand experiences and accelerate content supply chain transformation.

Offline ready: Microsoft debuts Phi-3 Mini AI model

Livemint

Livemint · 1y ago

Offline ready: Microsoft debuts Phi-3 Mini AI model

Microsoft has unveiled a new family of AI models, focusing on devices like smartphones and other consumer applications that can function even in offline and resource-constrained environments. The first model in the series, called Phi-3 Mini, has 3.8 billion data parameters and is aimed at tasks like photo and video editing, voice transcription, and note-taking. Microsoft hopes to make it easier for developers to deploy AI models and bring cost-efficient generative AI solutions to enterprises and consumers through its Azure cloud platform. The model currently supports English but has limited capabilities in other languages.

Rabbitt AI raises $2.1 Mn in seed round

Entrackr

Entrackr · 1y ago

Rabbitt AI raises $2.1 Mn in seed round

Rabbitt AI, a generative AI solutions firm, has raised $2.1 million in its seed round led by TechCurators and various angel investors. Rabbitt AI provides tools for businesses to build and deploy AI applications, including custom LLM development, RAG fine-tuning, and data-centric AI. Its platform offers a robust suite of tools, including core generative AI capabilities, custom LLM development, RAG fine-tuning, data-centric AI, MLOps integration, and voice bot AI agents. By combining these features, Rabbitt AI enables businesses to create powerful AI solutions tailored to their specific needs. TechCurators is the flagship company of the TC Group of companies, a global leader in education, e-learning, assessment, HR tech, cybersecurity, cloud development, and generative AI.

Can Nvidia be dethroned? Meet the startups vying for its crown

Livemint

Livemint · 1y ago

Can Nvidia be dethroned? Meet the startups vying for its crown

Access to GPUs, particularly those made by Nvidia, is crucial for companies involved in artificial intelligence (AI). Nvidia's dominance in the market has driven its value to over $2 trillion. However, some companies are designing specialized AI chips to challenge Nvidia. Startups like Cerebras, Groq, and MatX are taking different approaches to improve performance and efficiency. Giants like Google and Amazon are also creating their own AI chips. While these newcomers face challenges such as Nvidia's software advantage, they aim to attract customers and potentially position themselves as acquisition targets.

Three ways to manage data to integrate technology in tax

Livemint

Livemint · 1y ago

Three ways to manage data to integrate technology in tax

The use of technology by tax authorities has transformed the tax landscape, bringing transparency and stricter reporting practices. To effectively manage this data-driven environment, tax functions need to focus on integrating data systems, improving data architecture, and leveraging generative AI for insights. Centralising data and ensuring its quality is crucial for compliance and audit readiness. Adopting generative AI can offer quick returns on investment and expedite data-centric transformation projects. Taking a holistic approach to managing data is essential for optimizing results and building trust with stakeholders.

ServiceNow, Nvidia expand partnership, launch new AI agent

Economic Times

Economic Times · 3m ago

ServiceNow, Nvidia expand partnership, launch new AI agent

ServiceNow and Nvidia have expanded their partnership, unveiling the Apriel Nemotron 15B AI model at the 'Knowledge 2025' conference. This high-performance model, developed with NVIDIA, boosts enterprise AI with advanced decision-making capabilities and launches in Q2 2025. A new AI Control Tower manages AI investments, while integration with NVIDIA's NeMo services enhances ServiceNow's platform. Strategic partners will integrate these solutions, fostering seamless enterprise workflows across third-party agents. The development aims to revolutionize AI-driven business transformation.

Adobe Firefly is doing generative AI differently and it may even be good for you

Medial

Medial · 1y ago

Adobe Firefly is doing generative AI differently and it may even be good for you

Adobe Firefly is a generative AI system developed by Adobe that aims to enhance existing imagery while protecting the rights of creators. Unlike other platforms that scrape the internet for training data, Firefly uses Adobe's own stock image library, which is free of copyrighted and trademarked content. Adobe also pays creators for the use of their work in training the AI. The platform incorporates governance measures to ensure safety and avoid bias, and Adobe is focused on adding generative AI to its existing features and apps.

AI regulations good if they’re reasonable and risk-based, says SAP CTO

Livemint

Livemint · 1y ago

AI regulations good if they’re reasonable and risk-based, says SAP CTO

Juergen Mueller, CTO of SAP, believes that the adoption of generative AI is currently at its peak of hype, but there will be a dip as many current use cases won't work out. He emphasizes the importance of data and business process awareness for successful generative AI deployments. Mueller also discusses the role of regulations in AI, stating that reasonable and risk-based regulations are good, but many existing regulations are not as sophisticated as internal practices. SAP is building its own large language model (LLM) by anonymizing customer data and codifying best practices from various industries.

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