Capgemini Telecommunications’ Post

Our latest study reveals that while implementation of #generativeAI in software organizations is at an early stage, it is expected to accelerate sharply. 📈 A majority of Telecom organizations (86%) see enablement of innovative work as a top benefit from generative AI but very few (~3%) use generative AI for software engineering. Currently, adoption (including pilots) is expected to increase significantly in next two years from 46% of software workforce using #GenAI tools today (for all kinds of use with authorized or unauthorized access) to an estimate of 85% in 2026. Download our "Turbocharging software with Gen AI" report to gAIn more insights 📥 https://ow.ly/StW850Sz5pj  #SoftwareEngineering #SDLC

Discover how #generativeAI is revolutionizing #softwareengineering with the Capgemini Research Institute's new report, "Turbocharging Software with Gen AI." This report, based on insights from 1,000 senior executives and software professionals, highlights the significant benefits of generative AI, including improved software quality, enhanced productivity, and innovative feature development. Download the report to explore how generative AI can transform your software engineering practices. https://lnkd.in/geYi_5GZ

Navigating the complexities of adopting generative AI within your software development processes requires a balanced approach to governance and compliance. By integrating Gen AI tools, organizations can significantly enhance efficiency without compromising on security or compliance. Explore the strategic measures and best practices essential for successful Gen AI integration, which not only foster innovation but also align with regulatory requirements to ensure a smooth and secure adoption. https://lnkd.in/dCXfHyBf #GenerativeAI #ChatGPT #SoftwareDevelopment #TechInnovation

Cloud usage along with costs have increased exponentially for most of our clients. Find out how you can get a handle on your costs and automate the utilization of your cloud resources in the most efficient way possible.

The software market alone for AI is predicted to reach over $125 billion by 2025 with a 38% CAGR, and it is likely that the vast majority of that software will be deployed in an as-a-Service model.

Did you know which were the first AI programs? For info on tailored software solution visit: https://lnkd.in/dVSgXZa3 #SoftwareSolutions #TechInnovation #DigitalTransformation #ITServices #SoftwareDevelopment #BusinessSolutions #CustomSoftware #TechTrends #SoftwareEngineering #CloudComputing

gAIn: Organizations using #generativeAI have seen a 7%-18% productivity improvement in their #SoftwareEngineering function. pAIn: The lack of access to the prerequisite platforms and tools is the top barrier for organizations in #GenAI adoption. In fact, we found that 63% of software professionals who use generative AI use unauthorized tools and solutions. Grab your copy of our "Turbocharging software with Gen AI" report to gain more insights bit.ly/4d3nqNO #SDLC

AI is transforming industries in ways we're just beginning to understand. Gartner projects AI software spending to hit $297.9B by 2027 with a 19.1% CAGR! Generative AI will grow from 8% of AI software spending in 2023 to 35% by 2027. 🤯 Our eBook covers AI's impact, challenges, and strategies for adoption, focusing on sectors like data centers, telecom, and banking. Learn about backend vs. frontend data center networks, new Ethernet standards, and why Spirent is an industry leader. https://okt.to/OqRDTb #AI #DataCenter #testing

In the ever-evolving landscape of software development, the integration of artificial intelligence (AI) has emerged as a game-changer, promising increased efficiency, accuracy, and innovation. . . https://shorter.me/ne03v . . #AITestingChallenges #TestingSolutions #AIAdoption #TechChallenges #TestingInnovation #AIInTesting #TestingTrends #FutureOfTesting #AIChallengesSolved #TestingEvolution #TechSolutions #QAChallenges #AIIntegration #TestingStrategies

𝐄𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐃𝐚𝐭𝐚 + 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐦𝐚𝐩 Bessemer Venture Partners latest map shows how AI infrastructure is setting the stage for the next generation of enterprise data software. The volume of unstructured data is projected to reach 612 zettabytes by 2030, requiring powerful processors, efficient data movement hardware and next-gen storage devices. The demand for purpose-built AI infrastructure is giving rise to a new stack designed for AI-native companies. More: https://lnkd.in/g7tDRG2Q #AI #GenAI #LLM #MLLM #Infrastructure #DataSoftware #EnterpriseAI #marketmap