News/AI Implementation
How AI can drive smart marketing transformation
AI's Transformative Impact on Out-of-Home Advertising: Artificial Intelligence is poised to revolutionize the out-of-home (OOH) advertising industry by providing unprecedented data analytics and targeting capabilities. Traditional OOH marketing has relied on intuition and broad metrics like estimated impressions and brand recall studies, limiting precision and adaptability. The introduction of digital out-of-home (DOOH) advertising has already begun to shift the paradigm, allowing for more dynamic and targeted messaging. AI's integration into OOH marketing promises to unlock its full potential by enhancing decision-making and campaign performance. Key AI Applications in OOH Marketing: The technology offers several game-changing capabilities that can significantly improve...
read Oct 31, 2024Why CIOs must make ethical AI a priority
The growing importance of ethical AI for CIOs: As artificial intelligence continues to reshape industries, the role of Chief Information Officers (CIOs) in ensuring ethical AI practices has become increasingly crucial for organizational success and societal well-being. Salima Bhimani, former chief strategist for responsible technology at Alphabet and current CEO of 10Xresponsibletech, emphasizes the significance of ethical AI for both organizations and humanity as a whole. Bhimani defines ethical AI as a three-pronged approach: eliminating harm, expanding benefits, and building symbiotic AI-human systems. Strategic advantages of ethical AI: Pursuing ethical AI practices aligns with the evolving strategic roles of CIOs...
read Oct 30, 2024Atlassian exec reveals 3 key workplace trends shaping AI adoption
The future of teamwork: Challenges and solutions in the modern workplace: Atlassian's Vice President of Team Anywhere, Annie Dean, discusses the current state of team effectiveness and proposes strategies for improvement in an increasingly distributed work environment. In a recent interview with Harvard Business Review, Dean highlighted that teams are busier than ever but accomplishing less, indicating a "how-to-work crisis" in today's workplace. Atlassian's research revealed that 65% of knowledge workers prioritize responding to notifications over making progress on top priorities. 93% of Fortune 500 executives believe their teams could accomplish the same amount in half the time with more...
read Oct 30, 20245 strategies to streamline AI infrastructure deployment
AI adoption challenges in enterprise: Organizations face significant barriers in implementing AI, with only 40% of large-scale enterprises actively deploying AI in their business operations. A lack of technological infrastructure is cited by 38% of IT professionals as a major obstacle to AI success. The Harvard Business Review estimates the failure rate of AI projects at 80%, nearly double that of other corporate IT projects. Limited AI skills and expertise are among the top barriers, with 9 out of 10 organizations suffering from an IT skills shortage. 83% of organizations admit to not fully utilizing their GPU and AI hardware...
read Oct 30, 2024How enterprise architecture leaders are using generative AI to win
The rise of AI in enterprise architecture: Artificial intelligence and generative AI are transforming the enterprise architecture discipline, offering new opportunities for efficiency and business value creation across different domains of operations. AI and generative AI are automating previously tedious tasks and improving work efficiency within singular business domains. More importantly, generative AI is breaking down silos by cutting across different areas of business operations. These technologies are not replacing enterprise architects but rather augmenting their capabilities and potential impact. Key developments in enterprise architecture management suites: EAMS vendors are incorporating AI and generative AI technologies to enhance their offerings...
read Oct 30, 2024Should you deploy a generative AI salesbot?
AI-powered salesbots in digital marketing: A CEO's dilemma: Jeannie Weiss, CEO of digital marketing firm PulsePoint, faces a critical decision about implementing generative AI technology to revolutionize her company's sales approach, weighing potential benefits against risks and resistance. After attending an AI conference, Weiss is enthusiastic about deploying a cutting-edge salesbot to streamline operations and enhance client service. The proposed AI implementation could allow PulsePoint to reduce staff while delivering more personalized and effective service to clients. However, the plan faces opposition from key executives and PulsePoint's largest customer, raising concerns about the potential consequences of rapid AI adoption. The...
read Oct 29, 2024New York Times experiment shows how to help journalists with AI without replacing them
AI as a Journalistic Tool: The New York Times has demonstrated a novel application of artificial intelligence in investigative journalism, using it to analyze extensive audio recordings related to Donald Trump's election fraud claims. The NYT utilized AI to transcribe over 400 hours of conversations from the Election Integrity Network, generating nearly 5 million words of text. This approach showcases the potential of AI as a powerful research tool in journalism, enabling reporters to process and analyze vast amounts of data efficiently. Advancements in AI Transcription: Recent years have seen significant improvements in AI transcription technology, with some tools now...
read Oct 29, 2024Snowflake customers are already seeing returns on their AI app use
AI-driven efficiency gains in enterprise: Early adopters see rapid results: Snowflake customers are reporting significant productivity improvements and cost reductions from implementing generative AI applications, with some seeing benefits in as little as four days. Snowflake, a data warehouse vendor, recently hosted a dinner where customers shared their experiences with AI applications in production environments. These early adopters are finding that even simple AI use cases can create substantial value quickly for enterprises willing to experiment and innovate. Dramatic cost savings through email automation: TS Imagine's implementation of an AI-powered email management system has resulted in a 97% reduction in...
read Oct 29, 2024ServiceNow and Rimini Street partner to bring AI to global ERP systems
ServiceNow and Rimini Street forge groundbreaking partnership: ServiceNow has announced a strategic alliance with Rimini Street, a leading third-party software support provider, to bring AI innovations to on-premises ERP systems worldwide. The partnership, revealed as part of ServiceNow's Q3 2024 financial results, aims to create a new enterprise software model that allows existing on-premises ERP systems and other enterprise applications to leverage ServiceNow's AI platform. This collaboration combines ServiceNow's single architecture and data model with Rimini Street's proven third-party software support capabilities to enhance customer innovation across key business areas such as procurement, finance, supply chain, HR, customer service, and...
read Oct 28, 2024AI offers the promise of increased productivity, but will it be realized?
AI's transformative impact on business productivity: The integration of artificial intelligence into various business sectors is expected to bring significant changes in productivity and workforce dynamics over the next few years, with the potential to reshape industry norms and financial metrics. Leaders across different industries are grappling with the question of how AI will impact their businesses, particularly in terms of workforce automation and productivity gains. While there's a general consensus that AI will automate many rote tasks in fields such as sales, legal work, and software engineering, the exact timeline for these changes remains uncertain. The pace of AI's...
read Oct 28, 2024AI tops IEEE’s list of most critical technologies for 2025
AI dominates tech landscape in 2025: A global survey by IEEE reveals artificial intelligence as the most crucial technology for the coming year, with cloud computing and robotics following closely behind. The study, titled "Impact of Technology in 2025 and Beyond: an IEEE Global Study," surveyed 355 technology leaders across Brazil, China, India, the U.K., and the U.S. 58% of respondents ranked AI, including predictive and generative AI, machine learning, and natural language processing, as the most important technology for 2025. Cloud computing (26%) and robotics (24%) secured the second and third positions, respectively. Emerging technologies on the horizon: Extended...
read Oct 28, 2024ServiceNow says the key to implementing AI agents is making them ‘invisible’
Invisible AI agents: ServiceNow's vision for seamless workplace integration: ServiceNow is advocating for a shift in how enterprises deploy AI agents, emphasizing the importance of making these tools work invisibly in the background to enhance employee acceptance and efficiency. Key insights on AI agent implementation: Dorit Zilbershot, VP of AI and Innovation at ServiceNow, suggests that employees don't need to be aware of AI agents working behind the scenes. The goal is for AI to function seamlessly, with employees acting as "managers" of AI agents without requiring direct interaction or specialized knowledge. ServiceNow's AI agent platform, Now Assist, has become...
read Oct 28, 2024Prudential taps Google AI to streamline medical claims
AI-powered insurance claims verification: Prudential adopts Google's MedLM: Prudential is implementing Google's MedLM generative AI models to streamline and enhance the accuracy of medical insurance claims verification, marking a significant shift in the insurance industry's approach to claims processing. The technology behind the innovation: Google's MedLM, a family of large language models specifically trained for healthcare applications, is at the core of Prudential's new initiative. MedLM evolved from its predecessors Med-PaLM and Med-PaLM2, offering two models designed to handle basic and complex healthcare workflows. The larger MedLM model is tailored for intricate tasks, while the medium model can be customized...
read Oct 28, 2024Enterprise AI spending soars 130% as enterprises deem it essential
AI adoption surges across American businesses: Enterprise AI has rapidly transitioned from an experimental technology to an essential business tool, with adoption rates more than doubling in 2024. A comprehensive study conducted by AI at Wharton and GBK Collective surveyed over 800 enterprise decision-makers across the United States, examining AI adoption patterns, investment trends, and organizational impacts. The research, titled "Growing Up: Navigating Gen AI's Early Years," compared data from 2023 to 2024, tracking changes in usage patterns, departmental adoption, and employee attitudes. Key findings reveal dramatic growth in AI usage and investment: Weekly AI usage among business leaders has...
read Oct 26, 2024New Google survey shows over 75% of developers now use AI daily
AI adoption surges in tech industry: Google's 2024 State of DevOps report reveals widespread AI integration in development processes, with over 75% of developers utilizing AI for daily tasks. The survey, conducted by Google Cloud's DevOps Research and Assessment (DORA) team, gathered insights from nearly 3,000 technology professionals globally. AI adoption is positively correlated with increased flow, productivity, job satisfaction, code quality, and internal documentation quality. 67% of respondents reported that AI is helping them improve their code. Key AI adoption metrics: A 25% increase in AI adoption in development environments is associated with several improvements in various aspects of...
read Oct 25, 2024AI agents trained on ‘process intelligence’ will be key to unlocking enterprise value
The AI performance gap: Enterprises are seeking to leverage AI for tangible business outcomes, but many are struggling to translate advanced technologies like large language models (LLMs) into meaningful results. C-suite executives and board members are demanding that AI investments demonstrate clear value and rapid improvements in key performance indicators (KPIs). There is a significant disconnect between AI's potential in organizations and its actual performance, according to Divya Krishnan, VP of product marketing at Celonis. AI agents, while capable of automating tasks, often lack the necessary business context and nuance to deliver optimal results. Process intelligence: The missing link: The...
read Oct 24, 2024Businesses are finding more energy efficient ways to use AI
The evolving landscape of AI and power consumption: Recent trends indicate that businesses are finding ways to harness the power of generative AI without sacrificing energy efficiency or sustainability goals. Initial adoption of generative AI raised concerns about increased power consumption and a potential shift away from efficiency and sustainability priorities. Aberdeen research in 2023 revealed a slight decline in commitments to reducing power consumption as companies rushed to deploy AI infrastructure. However, the latest data suggests that organizations are now taking a more balanced approach, leveraging AI while simultaneously working to reduce energy usage and costs. Current state of...
read Oct 24, 2024AI in real estate: what separates the winners from the losers
AI's impact on real estate: A mixed bag of progress and challenges: The integration of Artificial Intelligence (AI) into the residential real estate industry has shown varied results, with some areas excelling while others significantly lag behind. Romi Mahajan, CEO of ExoFusion, assesses the current state of AI adoption in real estate, grading progress as a "solid F" in many areas. The technology adoption cycle in real estate is complex, with different parts of organizations at various stages of evolution. The intent behind AI adoption varies among organizations, ranging from labor-saving measures to enhancing customer experiences and infrastructure overhaul. The...
read Oct 24, 2024Forrester Predictions 2025 report says these workplace strategies are key to success
The future of work in 2025: A critical juncture for businesses: As organizations approach 2025, they face crucial decisions that will determine whether they thrive or struggle in the evolving landscape of work. The past few years have seen rapid changes in work environments, including a shift towards remote work, followed by layoffs and employee burnout. Companies now stand at a crossroads, with their future success dependent on how they navigate emerging challenges and opportunities. Employee experience (EX) redefined: The concept of employee experience is undergoing a transformation, with some companies adopting a new, potentially problematic approach. Many organizations are...
read Oct 24, 2024Why successful AI implementation requires a focus on long-term value creation
AI's evolving landscape in 2025: The artificial intelligence revolution continues its rapid growth, but businesses are beginning to reassess their approach to AI implementation and investment strategies. Forrester's State of AI Survey, 2024 reveals that two-thirds of respondents would consider their AI investments successful with less than 50% return on investment, indicating a shift in expectations. Enterprises are recognizing the need for a comprehensive, long-term business strategy that incorporates effective data management practices alongside AI initiatives. The focus is shifting from quick wins and immediate ROI to building a sustainable AI strategy that addresses business impact, governance, talent, operations, and...
read Oct 23, 2024These key infrastructure hurdles must be solved to unlock enterprise AI adoption
The AI infrastructure challenge: As companies move beyond basic AI tools to more advanced applications, they are encountering significant infrastructure hurdles that require strategic planning and investment. Early AI adopters primarily used Software-as-a-Service (SaaS) tools like ChatGPT, which didn't pose major infrastructure challenges. The shift towards creating custom models, fine-tuning existing ones, and implementing techniques like retrieval augmented generation (RAG) is driving the need for robust AI infrastructure. This transition necessitates substantial investments in infrastructure for both AI training and deployment. Key infrastructure hurdles: Companies scaling up their AI initiatives are grappling with several critical challenges that demand innovative solutions...
read Oct 23, 2024AI in the workplace: productivity booster or the cause of burnout?
AI's impact on workplace productivity and burnout: The integration of AI tools in the workplace has led to unexpected challenges, with many employees reporting increased stress and decreased productivity despite the technology's promise of efficiency. Anurag Garg, a PR agency founder, experienced firsthand the negative effects of rapidly implementing AI tools like ChatGPT in his team's workflow, leading to longer task completion times and increased stress among employees. Staff reported that creating prompts for AI tools and verifying their output for inaccuracies added to their workload, counteracting the intended efficiency gains. The constant introduction of new AI tools and updates...
read Oct 23, 2024AI shapes Gartner’s top 10 tech predictions for 2025
AI's transformative impact on organizations: Gartner's 2025 predictions highlight artificial intelligence's profound influence on various aspects of business operations, from management structures to employee interactions and decision-making processes. • By 2026, AI is expected to eliminate over half of middle management positions in 20% of organizations, leading to flatter organizational structures. • AI guidance is predicted to challenge executive decisions in 10% of global boards by 2029, potentially reshaping corporate governance. • Large enterprises are forecasted to increasingly use AI for employee mood and behavior monitoring, with 40% adoption expected by 2028. The evolving landscape of AI in the workplace:...
read Oct 22, 2024Code generation tops list of most productive AI uses cases, data suggests
AI code generation poised for breakthrough: AI-powered code generation tools are expected to overcome current limitations and drive significant productivity gains in software development by 2025, surpassing other AI use cases in terms of real business value. Current challenges and limitations: Despite the clear potential of AI code assistants to improve development time, existing solutions face hurdles that have limited their productivity benefits. AI-generated code often requires extensive review and vetting before it can be used in production environments, due to quality and security concerns. The time saved in writing code is often offset by increased time spent on debugging...
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