Latest news with #Gen-AI
Time of India
a day ago
- Business
- Time of India
Accenture Q3 earnings: Revenue rises 8% to $17.7 billion on Gen-AI momentum; Gen-AI revenue tops $700 million
Accenture on Friday reported an 8% year-on-year rise in revenue to $17.7 billion for the March-May quarter of FY25, supported by growing demand for AI-related services. The Ireland-headquartered IT services firm, which follows --a September-August fiscal calendar, also raised the lower end of its full--year revenue growth guidance to 6-7% in local currency from 5-7% earlier. The company's Q3 performance included a modest positive foreign exchange impact of 0.5%, it said in a statement. Accenture's gross margin for the quarter stood at 32.9%, compared with 33.4% in the same period last year. Accenture Chair and CEO Julie Sweet said, 'We continue to deliver on our strategy to be our clients' reinvention partner of choice and lead in Gen-AI,' highlighting that Gen-AI bookings for the quarter hit $1.5 billion, with revenues exceeding $700 million. Year-to-date, Accenture has secured $4.1 billion in Gen-AI bookings and generated $1.8 billion in revenue. According to the company, new bookings in Q3 totalled $19.7 billion, down 6% in US dollar terms. Of this, $9.08 billion came from consulting services and $10.62 billion from managed services. The Americas remained the largest contributor with $8.97 billion in revenue, followed by EMEA at $6.23 billion and Asia-Pacific at $2.53 billion. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Sanitize & Smooth Clothes Fast with Philips Steamer Philips Garment Steamers Learn More Undo Accenture said its global workforce stood at 7.9 lakh at the end of the quarter. Its data and AI employee count has reached around 75,000, and the firm aims to expand that to 80,000 by FY26. The company ended the quarter with a total cash balance of $9.6 billion and expects Q4 FY25 revenues in the range of $17 billion to $17.6 billion. Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Hindustan Times
5 days ago
- Business
- Hindustan Times
India's digital job scene to expand with rise in AI and data-driven roles
The second half of 2024 proved to be a turning point. Many companies resumed hiring after a slow start to the year, largely due to the rapid pace of digital transformation. With businesses shifting focus to automation, cloud solutions, and advanced tech tools, the need for skilled professionals is rising fast. Looking ahead to 2025, roles such as software developers, DevOps engineers, AI specialists, and cybersecurity experts are expected to be among the most sought-after. The tech industry is also witnessing increasing demand for data professionals such as analysts, engineers, and scientists, as companies rely more on insights and automation. What to expect from this rise in growth? The buzz around Generative AI (Gen-AI) is also playing a major part in this growth. As more companies explore the use of Gen-AI in their services, the need for specialised professionals in this space is going up. Positions that focus on algorithms, AI safety, and generative tools are seeing a rise in both demand and pay. This space alone is projected to create 1 million new jobs by 2028. Not only are these roles growing in number, but salaries in these areas are expected to increase by 25–30% compared to the previous year. Interestingly, the tech hiring boost isn't just limited to traditional IT companies. Sectors like banking, finance, and telecom are also on the lookout for digital experts. These industries are investing more in tech upgrades and turning to skilled professionals to support this shift. Another area making waves is India's gig economy in IT. Freelancers and short-term contract professionals are becoming key players. With more flexible work models in place, companies are tapping into this talent pool for project-based roles, especially in tier I and tier II cities. India's Global Capability Centers (GCCs) are also playing a big role in the job growth story. Between 2018-19 and 2023-24, GCCs created over 6 lakh jobs. By 2030, they are expected to employ between 2.5 to 2.8 million professionals, showing just how quickly this space is expanding. Meanwhile, India's tech gig economy is set to triple by 2030, potentially employing 24 million people. What's interesting is that this demand is expected to be evenly spread between tier I and tier II cities. First Published Date: 16 Jun, 21:57 IST
Axios
12-06-2025
- Business
- Axios
Exclusive: Tastewise raises $50 million Series B
Tastewise, an AI-marketing platform for food and beverage companies, raised a $50 million Series B led by Telus Global Ventures, the company tells Axios Pro. Why it matters: Specialized, category-specific AI tools are raising money, even in an uncertain market. How it works: Tastewise uses generative AI to automate sales and marketing tasks for food and beverage companies, claiming to cut product launch times by 6-8 months. Mars, Kraft-Heinz, and PepsiCo are clients, the company says. What they're saying: " Specializing in an industry is the only way to actually be able to accelerate productivity and replace professional services," Tastewise CEO Alon Chen tells Axios. "Investors realize that, yeah, you can have generic, Gen-AI solutions but integrating them into your organization is a heavy lift," he says. Zoom in: The Series B round included Duo Partners, Peakbridge, Disruptive AI, and PICO. Chen says the company would use the money to invest in its AI capabilities and to expand further in North America, where 70% of the platform's customer base is. The round brings total funding to $72 million, but the company declined to share its valuation.
Business Upturn
10-06-2025
- Business
- Business Upturn
Wipro extends partnership with Metro AG to further strengthen IT operations
By Aman Shukla Published on June 10, 2025, 16:01 IST Wipro Limited, a global leader in AI-powered technology services and consulting, has announced a two-year extension of its strategic partnership with Metro AG, a leading international food wholesaler. This renewed agreement reinforces Wipro's role in delivering integrated digital services, including cloud solutions, data management, application development, and AI-driven IT support to enhance Metro's business operations. Since 2021, Wipro has been a key IT partner for Metro, spearheading a comprehensive change management program that has modernized the company's IT infrastructure. By aligning with Metro's cloud-first strategy and collaborating with top hyperscalers, Wipro has successfully migrated 80% of Metro's on-premise systems to the cloud. This transformation has significantly improved operational efficiency, agility in customer response, and cybersecurity resilience while supporting Metro's sustainability goals by reducing its carbon footprint. Under the extended partnership, Wipro will further accelerate Metro's digital transformation by deploying advanced analytics, automation, and cutting-edge Gen-AI solutions. The collaboration will focus on enhancing security, scalability, and long-term operational readiness. Additionally, Wipro will play a pivotal role in shaping Metro's data and AI strategy, offering cost-efficient, customized solutions along with robust data governance frameworks. This continued alliance underscores Wipro's commitment to empowering enterprises with future-ready digital solutions, ensuring seamless and intelligent business operations in an evolving technological landscape. Aman Shukla is a post-graduate in mass communication . A media enthusiast who has a strong hold on communication ,content writing and copy writing. Aman is currently working as journalist at
Korea Herald
29-05-2025
- Business
- Korea Herald
Huawei Intelligent Operations Advances AI and Gen-AI in ICT
BARCELONA, Spain, May 29, 2025 /PRNewswire/ -- Operating telecommunications networks is getting more difficult. Networks are converging: fixed and mobile are often both required to provide a given service experience, whether it's an IoT use case or end-to-end network slicing. As networks become more software-driven, operating them requires different skills in maintenance, and assurance. Add to that complexity new technologies like enterprise-oriented APIs and agentic AI. These technologies can optimize network operations for granular service differentiation and prioritize business KPIs over simple uptime. With the right architecture and operational practices, networks can serve much more diverse use cases with a higher degree of reliability. Huawei Can Help Huawei Intelligent Operations works closely with its own network technology engineers as well as with industry standards bodies to guide the evolution of network services, and to ensure it supports all industry best practices. It works closely with the TM Forum, coordinating customer inputs and its own operational vision to create service-centric operational metrics. Thus, Huawei is expanding the boundaries of AI in telecoms operations, devoting intensive research into digital twins and telecoms-specific foundation models. Additionally, it feeds its substantial experience running telecoms networks back into its own operational best practices. Key examples: In the Asia-Pacific region, Huawei collaborated with a carrier to analyze the service impact of faulty sites. The work made use of Huawei's Expected Demand Not Served algorithm, which identifies service usage that is lower than usual, identifies faults that may be leading to depressed usage, and prioritizes fixes to return the network to its designed functionality. This has reduced traffic loss by 15% for this carrier. In the Middle East, Huawei Intelligent Operations significantly improved topology accuracy for an FTTx network, using delay-tolerant network architecture to reduce invalid work orders by 60%, and ultimately, led to a 10% decline in customer complaints. In Europe, Huawei used Gen-AI to improve MTTR by 25%. Huawei's work with the carrier on role-based copilots for field maintenance personnel and multi-agent collaboration to provide comprehensive treatment of complex scenarios. "Huawei Intelligent Operations believes not only in helping its CSP partners conquer its existing operational challenges, but in helping them harness the latest technology to drive new business benefits across the company" – Kevin Ye, President, Intelligent Operation Domain, Huawei Gen-AI Applications and Challenges The dramatic rise of generative AI has led to two basic operational models: copilots and agents. Copilots help a human employee for coding, configuring systems, or managing a stream of service quality data and trouble tickets. Agents are more devoted to a specific set of tasks or operational concerns, and can operate independently under the supervision of a human employee. In order to use Gen-AI, these tools must address the following concerns: Huawei Intelligent Operations can help. DeepSeek: The Next Generation of Gen-AI The January 2025 introduction of DeepSeek proved that Gen-AI could provide all of its current capabilities with a much more efficient model. Huawei's research indicates that DeepSeek provides advantages such as domain knowledge construction and application, code generation, data analysis, and intelligent ticket processing have direct application to CSP operations. Huawei is at the forefront of applying these new models to telecoms infrastructure. Huawei's Vision for ICT Operations Huawei believes that ICT technology will continue to play an important role in driving the digital economy, with new technologies acting as intelligent accelerators. Reliable network operations and intelligent operations will continue to grow in importance. Huawei continues to invest heavily in R&D to support these advancements, and will continue to accelerate the transformation toward intelligent operation. Recently, Huawei has collaborated with TM Forum and leading carriers to release annual versions of the New-Generation Intelligent Operations W hite P aper 3.0
