News/IT
Tech Mahindra unveils AI model for autonomous telecom networks using Llama 3.1
Tech Mahindra's new AI model for network automation represents a significant milestone in telecom infrastructure management, combining Meta's Llama 3.1 architecture with Nvidia and AWS capabilities. This development arrives as telecommunications companies increasingly seek autonomous solutions to manage their complex network operations, marking a shift from traditional manual oversight to AI-driven systems capable of handling both structured and unstructured network data. The big picture: Tech Mahindra has unveiled a Multi-Modal Network Operations Large Language Model that aims to transform traditional telecom networks into fully autonomous systems. The model leverages Meta's Llama 3.1 8b Instruct architecture, running on Nvidia AI Enterprise...
read Feb 27, 2025AI research agent by You.com analyzes 400+ sources simultaneously
Talk about killing 400+ birds with one stone... The management consulting industry, valued at $250 billion, has traditionally relied on teams of analysts spending weeks conducting market research and producing comprehensive reports. You.com's new AI tool aims to dramatically reduce this timeline to minutes while maintaining accuracy and depth. Core Innovation: You.com's Advanced Research & Insights agent (ARI) represents a significant advancement in AI-powered research capabilities by simultaneously analyzing over 400 sources, which is ten times more than existing solutions. The system uses an iterative research approach, creating initial summaries and progressively adding new information while maintaining efficiency through data...
read Feb 19, 2025AI value stream mapping fosters success, Neudesic advises
From streamlining to stream mapping, AI continues to be a force to be reckoned with. The adoption of artificial intelligence in Australian businesses lags behind global counterparts, with IBM research showing only 15% of companies worldwide are AI implementation leaders. Value stream mapping, a technique rooted in Lean manufacturing principles, is emerging as a crucial tool for organizations to develop clear AI strategies and overcome implementation barriers. Understanding value stream mapping: Value stream mapping creates visual representations of product and service delivery components, encompassing people, processes, information, and inventory from start to finish. This technique helps identify inefficiencies, bottlenecks, and...
read Feb 19, 2025In the Know: AI reshapes knowledge management best practices for business
The rapid evolution of artificial intelligence has brought knowledge management to the forefront of business strategy. A recent survey reveals that while 93% of IT leaders plan to deploy autonomous AI agents by 2027, many organizations lack the fundamental data infrastructure to support these initiatives. The current landscape: Enterprise data remains largely fragmented across organizational silos, with only 29% of business applications effectively sharing information across departments. Disconnected data sources and poor integration create significant barriers to implementing AI solutions The lack of cohesive knowledge management infrastructure impacts customer experience delivery Organizations struggle to unlock valuable data trapped within disparate enterprise...
read Feb 18, 2025Tiger Brokers embraces DeepSeek as Chinese brokerages pounce on AI
Online broker Tiger Brokers has integrated DeepSeek's AI model into its chatbot platform, marking a significant development in the Chinese financial sector's adoption of artificial intelligence. DeepSeek, a Chinese AI startup, has gained attention for developing its R1 model at a fraction of the cost of Western competitors, prompting widespread adoption among Chinese financial institutions. The big picture: The integration of DeepSeek-R1 into Tiger Brokers' TigerGPT platform represents a broader trend of Chinese financial institutions racing to implement AI solutions. At least 20 Chinese brokers and fund managers, including Sinolink Securities and CICC Wealth Management, have begun integrating DeepSeek models...
read Feb 12, 2025Salvation Army adapts tech to scale charitable operations in Australia
The Salvation Army, operating in 140 countries as Australia's largest non-profit organization, helps someone every 17 seconds through various social programs and services. Their technology infrastructure supports a complex network of operations, from retail stores to homeless services, requiring careful integration of new technologies while maintaining their core mission of community support. Technology Integration Framework: The Salvation Army's IT department manages a comprehensive technology backbone that connects diverse services operating at different speeds and scales. A blended workforce of 20,000 volunteers requires streamlined access to technical systems while maintaining security The organization faces unique challenges in implementing new technologies across...
read Feb 12, 2025CIOs apply low-code lessons to agentic AI adoption
When they go high, we go low. Low-code, that is. The rapid evolution of enterprise technology has led CIOs, or Chief Information Officers, to seek effective strategies for implementing artificial intelligence solutions across their organizations. The experiences gained from low-code platform adoption offer valuable insights for deploying agentic AI, which refers to AI systems that can autonomously perform tasks and make decisions. The fundamentals: Successful AI implementation requires a delicate balance between empowering business users and maintaining proper IT governance and control. Employee adoption of generative AI tools increases significantly when the technology is customized to specific workflows and use...
read Feb 10, 2025Pro-tip: Key steps to choosing the right AI agent platform
The rise of AI agent platforms has created new challenges for CIOs and IT leaders who must carefully evaluate these tools before implementation. Selecting the right AI agent builder platform requires assessing multiple technical and operational factors to ensure successful deployment and long-term value. Initial evaluation criteria: Before selecting an AI agent platform, organizations must first examine the core building environment and development tools to ensure they align with team capabilities and project requirements. The platform should provide an intuitive interface for testing and deploying agents while incorporating essential features like memory management and responsible AI safeguards Usage tracking and...
read Feb 10, 2025EU AI rules are too stifling, Capgemini CEO warns
The European Union's AI Act, touted as the world's most comprehensive AI regulation, has drawn criticism from industry leaders who argue it may hinder technological deployment and innovation. Capgemini, one of Europe's largest IT services companies, has partnerships with major tech firms and serves clients like Heathrow Airport and Deutsche Telekom. Executive perspective: Capgemini CEO Aiman Ezzat has voiced strong concerns about the EU's approach to AI regulation, describing the lack of global standards as "nightmarish" for businesses. Ezzat believes the EU moved "too far and too fast" with AI regulations The complexity of varying regulations across different countries creates...
read Feb 8, 2025Elon Musk’s DOGE team builds AI chatbot to scrutinize government spending
Elon Musk's Department of Government Efficiency (DOGE) is developing an AI chatbot for the US General Services Administration to analyze federal spending and contracts, raising significant concerns among IT and cybersecurity professionals. The core initiative: DOGE is creating a custom AI chatbot for the GSA, which oversees federal office buildings and IT infrastructure, to analyze government contracts and procurement data. The project aims to provide insights into federal spending patterns and allocation Thomas Shedd, head of Technology Transformation Services, characterized the effort as a continuation of existing attempts to track government spending The initiative is part of a broader "AI-first...
read Feb 5, 2025Salesforce AI cuts IT jobs but boosts sales roles
Salesforce announced plans to cut 1,000 jobs while simultaneously hiring in new areas as the company repositions itself around artificial intelligence products and services. Key restructuring details: The workforce changes reflect Salesforce's strategic pivot toward AI-driven solutions and operational efficiency. The company will eliminate approximately 1,000 positions, though affected employees can apply for other roles within the organization Salesforce's employee count had previously grown from under 50,000 in early 2020 to over 79,000 by early 2023 CEO Marc Benioff acknowledged the company had over-hired during the pandemic period Strategic focus on AI development: Salesforce is centering its future growth around...
read Jan 28, 2025DeepSeek may unlock a golden era for IT infrastructure providers
DeepSeek, a Chinese AI company, claims to have developed an AI model comparable to leading systems while significantly reducing traditional training infrastructure requirements. Key innovation: DeepSeek's R1 model reportedly achieves GPT-4-level performance using just 2,048 Nvidia H800 GPUs at a cost of $5.58 million, representing a dramatic reduction in traditional AI training costs. The company employs advanced techniques including FP8 precision, modular architecture, and proprietary DualPipe communication optimizations This approach could potentially democratize AI training by making it accessible to enterprises beyond major tech companies The model maintains competitive performance despite using fewer resources Infrastructure implications: While reducing GPU requirements,...
read Jan 23, 2025IT leaders are bullish on AI agents, BMC survey finds
The current state of AI adoption: A new survey of 424 IT stakeholders reveals widespread interest in generative AI, with 94% incorporating it into their operations and management strategy, though only 17% have progressed beyond experimentation. Most organizations remain in early stages, with 41% testing simple use cases and 42% conducting initial pilots Only 5% of organizations report having mature generative AI implementations Multiple AI platforms are being deployed simultaneously, with 44% of organizations using two different solutions and 22% using three Platform preferences and adoption trends: Microsoft Copilot leads the pack among generative AI solutions, while a significant portion...
read Jan 22, 2025Gartner projects waning hype for GenAI in IT — but not a decline in spending
Generative AI and IT infrastructure spending are projected to drive global IT expenditure to $5.61 trillion by 2025, according to new Gartner forecasts, representing a 9.8% increase from 2024. Market dynamics and spending patterns: The IT sector is experiencing significant shifts in investment priorities, particularly in areas supporting artificial intelligence capabilities. Data center systems, devices, and software segments are forecasted for double-digit growth in 2025, driven primarily by necessary hardware upgrades to support AI capabilities IT services companies and cloud providers (hyperscalers) are expected to dominate spending, accounting for over 70% of expenditure in 2025 Spending on AI-optimized servers is...
read Jan 22, 2025ServicesOps’ newest platform tasks AI agents with reducing change failures
ServiceOps platform BMC Helix has introduced a new AI agent designed to reduce change failures and improve risk management in enterprise IT systems. Core innovation: BMC's Change Risk Advisor AI agent analyzes operations and service management data to provide change risk scores and actionable recommendations for IT teams. The AI agent can proactively identify risky system changes by examining historical data and current service health status Teams can interact with the agent to ask specific questions about change approvals, ownership, and potential conflicts The system aims to bridge the gap between traditional Change Advisory Board (CAB) processes and rapid DevOps...
read Jan 20, 2025AI hardware strategies for scaling infrastructure efficiently
AI infrastructure spending is projected to triple to $100 billion annually by 2028, driven by new purpose-built hardware designed specifically for AI workloads. Market momentum: Enterprise spending on AI-specific compute and storage infrastructure grew 37% year-over-year in early 2024, marking 18 consecutive months of double-digit growth. IDC forecasts that dedicated and public cloud infrastructure will represent 42% of new AI spending worldwide through 2025 Organizations currently have more projects in pilot (10) and limited deployment (16) phases compared to full-scale deployment (6) Infrastructure limitations remain a key barrier to scaling AI initiatives beyond initial pilots Cloud-first approach: Most enterprises should...
read Jan 6, 2025HP announces AI-enabled IT support and refurbished hardware
HP is expanding its portfolio with AI-enhanced support services, device management solutions, and refurbished hardware offerings, as announced ahead of CES 2025. Service enhancements overview: HP has introduced AI-powered support services designed to minimize IT disruptions and improve device management efficiency. The company now offers three tiered support packages: Essential, Premium, and Premium+ Support, each incorporating AI-driven preventive maintenance capabilities Essential Support adds onsite repair to basic remote services, while Premium offers 24/7 assistance and next-day repairs Premium+ Support provides priority access to parts and service experts for the fastest resolution times Technology integration and automation: A new Device Registration...
read Dec 9, 2024How technical debt can throw a wrench in AI app deployment
The intersection of artificial intelligence deployment and legacy technical debt presents a growing challenge for IT leaders as they move from AI design to implementation phases. Key challenges and context: Technical debt, particularly in legacy systems and infrastructure, is emerging as a significant barrier to AI application deployment, requiring careful evaluation on a case-by-case basis. IT leaders must assess how existing technical debt impacts each specific AI project and potentially adjust their debt reduction strategies accordingly Legacy system dependencies can create significant roadblocks, especially when critical data is trapped in outdated systems The impact varies significantly between organizations and projects,...
read Dec 4, 2024IT job market expected to shrink to 10-year low in 2025
The IT job market is experiencing a significant shift as industry leaders reassess their workforce needs for 2025, with artificial intelligence and economic factors playing crucial roles in hiring decisions. Key survey findings: A recent Harvey Nash study reveals that only 36% of Chief Information Officers anticipate IT headcount growth in 2025, marking the lowest projection since 2011. The survey results reflect a notable departure from the aggressive IT hiring trends seen in recent years This conservative outlook emerges despite the US economy showing signs of stability and avoiding a predicted recession The timing of the survey may not fully...
read Nov 28, 2024IT leaders need these skills to navigate AI disruption
Artificial intelligence is reshaping the role of IT leadership, requiring new skills and approaches to navigate an increasingly complex business landscape. Current landscape and urgency: Organizations face mounting pressure to adopt AI-first operating models, with over 90% of business and IT executives acknowledging this transition as crucial for maintaining competitiveness by year-end. The findings come from Avanade's Generative AI Readiness Report, which surveyed over 3,000 executives from companies with $500M+ annual revenue across 10 countries IT leaders must evolve beyond traditional system maintenance roles to become strategic business partners within their executive teams The transformation demands a unique combination of...
read Nov 25, 2024The biggest pitfalls IT teams must avoid in 2025
Artificial intelligence adoption is creating significant challenges for IT teams as they navigate digital transformation, with several common pitfalls threatening to derail enterprise technology initiatives in 2025. AI Governance Challenges: Organizations are struggling to maintain control over artificial intelligence deployment and usage within their environments. Unauthorized "shadow AI" applications are creating security vulnerabilities as employees feed sensitive data into public AI models Forward-thinking companies are implementing comprehensive governance frameworks that cover model selection and output verification Organizations are providing approved alternatives to popular consumer AI tools to reduce shadow IT risks Regulatory Compliance Gaps: New AI regulations are catching many...
read Oct 21, 2024AI adoption strategies CTOs must embrace in 2024
The end of an era for software engineers: The tech industry is experiencing a significant shift, with the golden age of engineering coming to an abrupt end as companies reassess their workforce and priorities. For nearly two decades, software engineers enjoyed unprecedented job security, high salaries, and lavish perks, even with minimal experience. Big Tech companies like Google hoarded engineers not just for their work, but to keep talent away from competitors, leading to inflated engineering teams. This arms race resulted in a culture where engineering leaders prioritized hiring and retention above all else, often at the expense of business...
read Oct 3, 20243 key data management strategies for successful gen AI projects
The dawn of generative AI in enterprises: As companies increasingly adopt generative AI technologies, IT leaders must navigate complex data management challenges to ensure successful implementation and scaling of these projects. Generative AI's potential to transform business operations has led to widespread adoption across various industries. The success of these AI initiatives heavily depends on the quality and management of data used to train and operate the models. IT leaders are faced with the task of adapting existing data management practices to meet the unique demands of generative AI technologies. Data collection, filtering, and categorization: The foundation of AI success:...
read Oct 1, 2024Morgan Stanley survey answers where enterprises AI budgets come from
AI budgeting trends among CIOs: A recent Morgan Stanley survey of Chief Information Officers (CIOs) provides insights into the sources of artificial intelligence (AI) funding, shedding light on how companies are allocating resources for AI initiatives. 41% of CIOs reported that AI investments would come from net new spending, indicating a willingness to allocate additional funds specifically for AI projects. 35% of respondents stated that AI budgets would be sourced from existing software spend, suggesting a reallocation of resources within current IT budgets. Only 6% of CIOs indicated that AI funding would come from professional services budgets, a surprisingly low...
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