News/AI Implementation
How to manage risk in the age of AI
The rapid evolution of artificial intelligence is reshaping cybersecurity strategies and risk management approaches for enterprises of all sizes, with leading companies racing to integrate AI capabilities while carefully managing associated risks. Strategic AI Integration: Palo Alto Networks has embedded generative AI technology across its entire cybersecurity product portfolio to enhance threat detection and response capabilities. The company employs "precision AI" systems that analyze enterprise data streams in real-time to identify suspicious patterns and automatically block potential security threats Through an aggressive acquisition strategy involving 19 companies over six years, Palo Alto Networks has rapidly expanded its AI and cybersecurity...
read Nov 22, 2024How to balance bold, responsible and successful AI deployment
The growing adoption of generative AI (GenAI) among major organizations presents both significant opportunities and complex challenges, as leaders seek to balance rapid implementation with responsible deployment. Current landscape and adoption trends: Recent KPMG survey data reveals strong momentum in enterprise AI implementation across major organizations. 71% of surveyed leaders are incorporating GenAI data into decision-making processes 52% report that AI technology is influencing their competitive positioning 47% are leveraging AI to identify new revenue opportunities 54% of executives anticipate GenAI supporting new business models Key challenges and concerns: Organizations must navigate significant hurdles while implementing AI technologies. Workforce impact...
read Nov 22, 2024LA schools establish new guidelines for AI implementation
The Los Angeles County Office of Education's proactive approach to implementing artificial intelligence in schools provides valuable insights for educational institutions seeking to integrate AI technology effectively. Strategic foundations and governance: LACOE has established a comprehensive approach to AI implementation through a dedicated task force, focusing on surveying existing AI usage and developing flexible guidelines. The organization conducted extensive surveys to understand how schools were already utilizing generative AI Guidelines were created for vetting technology vendors, piloting new AI products, and training staff A flexible governance model was chosen over rigid policies to accommodate the rapidly evolving AI landscape Policy...
read Nov 21, 2024More than a name change: Digital transformation is now AI transformation
The emergence of AI transformation is rapidly overtaking digital transformation as the primary focus for business leaders, creating both opportunities and challenges for IT professionals. Executive priorities shifting: Recent trends indicate a significant change in C-suite priorities, with artificial intelligence replacing digitalization as the dominant strategic focus. Gartner's 2024 CEO Survey reveals AI mentions in top strategic priorities jumped from 4% to 24% year-over-year References to "digitalization" declined from 20% to 13% during the same period An unprecedented 59% of CEOs identify AI as the most impactful technology for their industry over the next three years CIO's evolving role: The...
read Nov 21, 2024How companies are bridging the AI skills gap
The growing adoption of artificial intelligence in enterprises has created a significant skills gap, with a 50% hiring shortfall in AI-related positions and a stark disconnect between perceived and actual AI capabilities among IT professionals. Current state of the AI skills crisis: The technology sector is experiencing a severe shortage of qualified AI professionals, creating significant challenges for businesses attempting to implement AI solutions. A 50% hiring gap exists for AI-related positions in 2024 While 81% of IT professionals claim they can use AI in their current roles, only 12% possess the actual required skills This disparity between perceived and...
read Nov 21, 2024Gen AI adoption and the future of B2B buying
The rapid adoption of generative AI (GenAI) in B2B purchasing processes marks a significant shift in how businesses evaluate and acquire products and services, with implications spanning the entire buying journey. Initial skepticism and swift transformation: Early 2024 began with hesitation among B2B buyers regarding GenAI adoption, but this cautious approach quickly evolved into widespread acceptance. IT leaders initially expressed strong reservations about incorporating GenAI into their purchasing processes Within six months, 89% of buyers in Forrester's Buyers' Journey Survey reported using GenAI in their purchasing decisions GenAI emerged as one of the most influential information sources across all purchasing...
read Nov 21, 2024MIT research uncovers when human-AI collaboration is at its most productive
AI and human collaboration is reshaping how work gets done across industries, with new research providing insights into which tasks are best handled by AI alone versus through human-AI partnerships. Research overview: Scientists at MIT conducted the first comprehensive meta-analysis examining the effectiveness of human-AI collaboration across different types of tasks and industries. The study analyzed 106 experimental studies spanning healthcare, human resources, communications, and the arts Researchers compared performance metrics for humans working alone, AI systems working independently, and human-AI collaborations The analysis focused on quantitative measures to evaluate task performance across different scenarios Key findings: On average, AI...
read Nov 21, 2024New report details enterprise AI adoption trends and attitudes
The rapid adoption of artificial intelligence has become a critical strategic imperative for mid-market businesses seeking to maintain competitive advantage and drive growth, according to a comprehensive new study by Avanade examining AI implementation trends. Key findings and market sentiment: A significant majority of business leaders view AI adoption as essential for maintaining competitiveness in today's market environment. 85% of business leaders expressed concerns about losing competitive ground without rapid AI implementation Organizations expect a four-fold return on AI investments within 12 months 53% of companies plan to increase their generative AI budgets by up to 25% Nearly half of...
read Nov 21, 2024Half of Gen AI users want the technology open-sourced — Here’s why
Artificial intelligence development and deployment increasingly relies on open-source software, with organizations embracing open solutions for both cost efficiency and transparency according to new research from the Linux Foundation. Key findings from the research: The Linux Foundation's comprehensive survey of 316 AI professionals reveals widespread adoption of generative AI, with significant emphasis on open-source infrastructure. 94% of organizations currently use generative AI, with 42% reporting high or very high adoption rates On average, 41% of organizations' AI code infrastructure is open source, rising to 47% among high adopters 71% of respondents indicate that open source positively influences their decision-making processes...
read Nov 20, 2024AI reshapes UI: 3 key steps for business leaders
The AI Interface Revolution: Artificial intelligence is rapidly transforming from a backend technology to become the primary way users interact with systems, replacing traditional screen-based interfaces with natural language interactions. Current State of AI Interfaces: Major enterprises are already implementing AI-powered interfaces across various industries, demonstrating significant improvements in operational efficiency and user experience. Johnson Controls has implemented generative AI for equipment interaction, allowing technicians to communicate with complex systems using natural language instead of technical manuals S&P Global has integrated conversational interfaces into their financial platforms, making sophisticated financial tools more accessible while maintaining advanced functionality Jerry Insurance has...
read Nov 20, 20247 methods to deploy a custom large language model
As artificial intelligence continues to reshape the business landscape, organizations face a critical decision: how to effectively deploy Large Language Models (LLMs) into their operations. From simple chatbot implementations to sophisticated custom model development, the spectrum of deployment options has grown significantly in recent years. Whether you're a small startup taking your first steps into AI or an enterprise looking to expand your existing capabilities, understanding these deployment methods is crucial for making informed decisions about your AI strategy. This comprehensive guide explores seven key approaches to LLM deployment, helping you navigate the trade-offs between complexity, cost, and capability to...
read Nov 20, 2024Temenos partners with Nvidia to deliver on-premises AI for banks
The financial technology sector continues to evolve as banking software providers integrate advanced AI capabilities into their core offerings, with Temenos' latest announcement marking a significant development in on-premises AI solutions for financial institutions. Key Innovation: Temenos has unveiled an on-premises generative AI solution built on Nvidia's AI platform, designed to help banks process unstructured data while maintaining complete control over their information. The solution leverages Nvidia NIM microservices, which are part of the Nvidia AI Enterprise software platform Banks can now process and analyze data with improved speed and precision while keeping sensitive information secure The system enables real-time...
read Nov 19, 2024OpenText expands capabilities to help enterprises show ROI on AI adoption
The enterprise software industry is experiencing a significant shift as companies work to demonstrate tangible value from AI implementations, with OpenText leading efforts to showcase measurable returns on AI investments through its latest platform updates. Latest developments: OpenText has announced its Cloud Editions (CE) 24.4 release, expanding AI capabilities across its extensive software portfolio that includes content management, DevOps, messaging, database, and security solutions. The update builds upon the OpenText Aviator technology introduced in CE 23.4, now featuring deeper integrations and expanded AI agent functionality The enhanced AI portfolio encompasses 15 products supported by 102 autonomous agents The expansion includes...
read Nov 19, 2024The most common pitfalls in generative AI adoption–and how to overcome them
The rapid adoption of generative AI in enterprise settings has revealed significant challenges in translating experimental projects into tangible business value, with recent IDC research showing a stark success rate of only 3 out of 37 proof-of-concept projects reaching successful production. Current state of enterprise AI adoption: Companies are aggressively experimenting with generative AI, but face significant hurdles in moving from experimentation to production-ready solutions. Organizations conduct an average of 37 generative AI proofs of concept, with only 5 making it to production deployment Of those that reach production, just 3 are typically considered successful implementations The gap between experimentation...
read Nov 19, 2024Microsoft unveils Azure AI Foundry for unified AI development
Core offering: Microsoft has introduced Azure AI Foundry, a new unified platform designed to streamline the management of artificial intelligence tools for organizations. The platform aims to serve as a centralized hub for businesses looking to implement and manage various AI technologies effectively. Azure AI Foundry is positioned as a bridge between advanced AI capabilities and real-world business applications, suggesting a focus on practical implementation rather than theoretical possibilities. Technical infrastructure: Azure AI Foundry represents Microsoft's effort to consolidate AI management tools into a single, cohesive platform. The solution is built on Microsoft's Azure cloud infrastructure, leveraging the company's extensive...
read Nov 19, 2024How businesses should prepare for agentic AI workflow disruption
The advancement of autonomous AI agents promises to transform how businesses operate, with significant implications for productivity and workflow automation across industries. Current state of agentic AI: Autonomous agents represent an evolution beyond traditional AI chatbots, capable of understanding and acting on needs without explicit human direction. Unlike AI copilots that respond to specific requests, agentic AI can make independent decisions to accomplish human-defined goals Over $2 billion in investor funding has flowed into agentic AI startups in the past two years, primarily targeting enterprise applications Deloitte predicts 25% of companies using generative AI will implement agentic AI pilots by...
read Nov 19, 2024US Patent Office bans staff from using generative AI
The United States Patent and Trademark Office (USPTO) has implemented strict limitations on generative artificial intelligence use among its staff, marking a significant development in how federal agencies approach emerging AI technologies. Key policy details: The USPTO enacted a comprehensive ban on generative AI tools for general work purposes in April 2023, citing security concerns and potential issues with bias and unpredictability. The ban covers popular AI tools like ChatGPT and Claude for regular work tasks The prohibition extends to AI-generated images and videos Employees can still use AI within the agency's controlled internal testing environment The agency maintains approved...
read Nov 19, 2024Insights from experts driving AI transformation in the UAE
The UAE's business landscape is experiencing a significant digital transformation as companies increasingly adopt AI platforms to enhance operations and drive innovation. Current State of AI Adoption: The integration of AI platforms, particularly Generative AI, has become a strategic priority for major organizations across the UAE, reshaping how businesses operate and deliver value. Leading companies in aviation, banking, and transportation sectors are incorporating AI as a core component of their five-year strategic plans. Organizations are focusing on both generative AI capabilities and embedded AI solutions to improve internal efficiencies and empower teams. Companies are making substantial investments in AI infrastructure...
read Nov 18, 2024For AI-powered business growth, build a strong data foundation
The advancement of artificial intelligence and machine learning capabilities has made modern data management a critical foundation for businesses seeking to leverage AI effectively. The data imperative: High-quality, accessible data is fundamental to developing robust AI and machine learning systems that can deliver meaningful business value. Poor data quality or insufficient volume makes it impossible to build effective machine learning algorithms Common challenges include data silos, lack of standardization, and privacy regulation compliance Modern data management solutions help overcome these obstacles by integrating technologies, governance frameworks, and business processes Key applications and benefits: Modern data management systems enable organizations to...
read Nov 18, 202499% of firms plan to increase GenAI investments, study finds
The rapid adoption and expansion of Generative AI (GenAI) across global businesses marks a significant shift from experimental implementation to strategic, long-term integration of this transformative technology. Key findings: NTT DATA's comprehensive global study reveals near-universal commitment to GenAI investment and implementation across organizations worldwide. An overwhelming 99% of organizations globally plan to increase their GenAI investments 83% of surveyed companies have already established expert or robust GenAI teams In India, 100% of organizations are planning further investments, with 67% having dedicated GenAI teams Primary applications: Organizations are leveraging GenAI across multiple critical business functions to enhance operations and innovation....
read Nov 18, 2024AI-generated coding is a big success, if you can navigate these risks
The rapid advancement of generative AI is reshaping software development practices, promising increased efficiency while introducing new considerations for development teams. Current state of AI adoption: IDC forecasts that by 2026, 40% of new applications in the Asia-Pacific region will incorporate generative AI capabilities, marking a significant shift in software development approaches. AI assistants, often called "TuringBots," are being integrated across all stages of the software development lifecycle These tools can handle tasks from initial code generation to testing and deployment Organizations are increasingly using AI to accelerate development timelines and boost operational efficiency Key implementation challenges: Organizations face several...
read Nov 18, 2024Experts say large language models for healthcare must overcome these barriers
The advancement of large language models (LLMs) in healthcare has created both opportunities and challenges for clinical applications, with recent developments highlighting the need for more targeted approaches in medical AI development. Current state of medical AI: Commercial large language models are increasingly being applied in clinical settings, with some models showing promising results that rival human performance in specific medical tasks. OpenAI's recent release of two new models, o1-preview and o1-mini, demonstrates the continuing evolution of LLM technology While open-source models exist, closed-source commercial models currently dominate the market despite their limitations in clinical settings Existing medical LLMs, including...
read Nov 18, 2024Forrester publishes guide for retrieval-augmented generation
Retrieval-Augmented Generation (RAG) is emerging as a critical solution for businesses looking to overcome the limitations of foundation models in artificial intelligence, offering enhanced accuracy and relevance by combining data indexing, knowledge retrieval, and generative capabilities. The evolution of enterprise AI: Foundation models, while powerful, face inherent limitations in accessing information beyond their initial training data, often resulting in accuracy and relevance challenges. RAG technology enables AI systems to access and leverage authoritative knowledge bases, significantly improving the quality of generated outputs Businesses implementing RAG report substantial improvements in content accuracy and domain-specific expertise Users and vendors have observed near-perfect...
read Nov 18, 2024AI development hurdles experts wish you knew about
The rapid advancement of artificial intelligence has created both opportunities and significant barriers to entry for startups and smaller companies looking to innovate in the AI space. Current state of AI development: The AI industry faces substantial challenges related to resource accessibility and technical infrastructure that disproportionately affect smaller players in the market. Computing costs, particularly for GPUs necessary for training large AI models, remain prohibitively expensive for many startups and smaller organizations. Access to skilled AI talent continues to be a major hurdle, with large tech companies maintaining a significant advantage in recruitment. Many development teams spend excessive time...
read