#ai-deployment

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Enterprises still waiting for AI initiatives to pay off

Despite enthusiasm for AI tools, deployment and ROI have fallen due to poor training data quality.
#generative-ai

There's no single route to AI adoption, and Anthropic is charting all available paths

Businesses should adopt a hands-on approach to AI deployment while partnering with experienced firms to avoid being locked into specific models.

AI: From exploration to production - five case studies on GenAI in action | Computer Weekly

Generative AI deployment has become a major focus for companies, but converting interest into successful projects remains a significant challenge.

There are many reasons why companies struggle to exploit Gen AI, says Deloitte survey

Most companies struggle to move Generative AI projects from initial stages into production, with 70% reporting minimal success.
Despite challenges, many organizations are increasing AI investments due to perceived early value.

Opinion: Calculating the business value of GenAI

Many organizations struggle with proving and realizing value from generative AI projects due to escalating costs and unclear business value.

NVIDIA GTC 2024: CEO Jensen Huang's Predictions About the Future of Prompt Engineering

NVIDIA aims to make enterprise AI deployment easier and more widely applicable with AI Enterprise 5.0 and NVIDIA Inference Microservices.
Jensen Huang emphasizes the importance of prompt engineering, stating that programming may not be essential for success in the age of generative AI prompts.

'We want to grow our impact, not our headcount': Widespread AI job losses haven't yet materialized, but the technology is changing enterprise hiring patterns

Generative AI deployment is increasing among tech leaders, with no significant job replacement noted yet.

There's no single route to AI adoption, and Anthropic is charting all available paths

Businesses should adopt a hands-on approach to AI deployment while partnering with experienced firms to avoid being locked into specific models.

AI: From exploration to production - five case studies on GenAI in action | Computer Weekly

Generative AI deployment has become a major focus for companies, but converting interest into successful projects remains a significant challenge.

There are many reasons why companies struggle to exploit Gen AI, says Deloitte survey

Most companies struggle to move Generative AI projects from initial stages into production, with 70% reporting minimal success.
Despite challenges, many organizations are increasing AI investments due to perceived early value.

Opinion: Calculating the business value of GenAI

Many organizations struggle with proving and realizing value from generative AI projects due to escalating costs and unclear business value.

NVIDIA GTC 2024: CEO Jensen Huang's Predictions About the Future of Prompt Engineering

NVIDIA aims to make enterprise AI deployment easier and more widely applicable with AI Enterprise 5.0 and NVIDIA Inference Microservices.
Jensen Huang emphasizes the importance of prompt engineering, stating that programming may not be essential for success in the age of generative AI prompts.

'We want to grow our impact, not our headcount': Widespread AI job losses haven't yet materialized, but the technology is changing enterprise hiring patterns

Generative AI deployment is increasing among tech leaders, with no significant job replacement noted yet.
moregenerative-ai

Llama 3 in Action: Deployment Strategies and Advanced Functionality for Real-World Applications

Llama 3 enhances LLM applications with improved deployment options and democratizes fine-tuning for broader access to AI technology.

TNW Podcast: How startups deploy AI, Bolt's international expansion, and Fortnite is back

Bolt is focusing on international expansion while adapting to different markets and regulations.

NVIDIA NIM Now Available on Hugging Face with Inference-as-a-Service

Hugging Face launches inference-as-a-service with NVIDIA NIM for easy AI model deployment and optimization.

Does AI increase productivity at work? New study suggests otherwise

AI deployment in workplaces may not necessarily enhance productivity and can lead to burnout and dissatisfaction among employees.

The 5 questions Google couldn't answer on it's earnings call about its AI future

Google's carefully crafted AI pioneer image is being questioned under Wall Street's scrutiny.

NTT Data unveils Edge AI platform for industry, manufacturing | Computer Weekly

NTT Data unveils Edge AI platform for IT/OT convergence and Industry 4.0 advancement.

Make AI adoption a strategic, ROI-focused and sustainable transformation, says HPE

Properly factoring the long-term resources and energy costs is crucial for successful AI deployment.
#startups
from TechRepublic
5 months ago

What is the EU's AI Office?

The European Commission forms an AI Office to govern AI deployment and support startups in the E.U.
from TechCrunch
7 months ago

Pienso builds no-code tools for training AI models | TechCrunch

AI deployment challenges persist, with many companies still in pilot stages.
New tools like Pienso aim to simplify AI deployment for non-technical users.

What is the EU's AI Office?

The European Commission forms an AI Office to govern AI deployment and support startups in the E.U.

Pienso builds no-code tools for training AI models | TechCrunch

AI deployment challenges persist, with many companies still in pilot stages.
New tools like Pienso aim to simplify AI deployment for non-technical users.
morestartups

Op-Ed | Harnessing AI and tech: Empowering New York City's economic renaissance | amNewYork

New York City is experiencing a tech talent boom, with a significant increase in tech workers relocating there, making it a potential leader in the AI revolution.

Successfully deploying AI has little to do with technology

The successful deployment of AI in organizations requires more than just technical expertise, emphasizing the importance of strategic vision, leadership, and organizational culture.

OpenAI departure shows doomers have lost the AI fight

OpenAI's shift towards deploying AI quickly under Sam Altman's leadership is embraced industry-wide despite initial warning signs from AI ethicists and AI doomers.

White House Pushes Fed Agencies to Hire AI Chiefs

Federal agencies mandated to appoint Chief AI Officer and disclose AI deployments for safeguards by December 1, 2024.

NYC Mayor Eric Adams has relied on new tech to solve his problems. It hasn't worked out.

New technology can backfire when politicians over-rely on it without understanding its limitations.
Even with good intentions, AI deployment can lead to serious errors and legal consequences if not carefully implemented.

India revises approval stance on AI model launches

India's regulatory authorities backtrack on AI deployment framework
Companies no longer need government approval for launching AI models in India

AI to spark a boom in edge infrastructure spending

Edge computing crucial for AI deployment
Global spending on edge computing to reach $350 billion by 2027

3 ways businesses should prepare for the AI transformation

Only 14% of businesses worldwide are prepared to deploy AI
Training employees on AI use and developing a clear strategy for responsible AI are challenges for European companies
#ai-regulation
from ComputerWeekly.com
9 months ago
Artificial intelligence

AI everywhere all at once | Computer Weekly

The rapid deployment of AI is surpassing legislative and ethical frameworks, leading to concerns about big tech companies having too much control.
Governments are taking steps to address AI regulation and safety concerns, including establishing AI safety institutes and international agreements.

Australia considering mandatory guardrails for "high-risk" AI | DailyAI

Australia is considering imposing mandatory guardrails on AI in high-risk settings
The Australian government proposed implementing measures to ensure AI systems are safe in difficult or impossible to reverse harms

AI everywhere all at once | Computer Weekly

The rapid deployment of AI is surpassing legislative and ethical frameworks, leading to concerns about big tech companies having too much control.
Governments are taking steps to address AI regulation and safety concerns, including establishing AI safety institutes and international agreements.

Australia considering mandatory guardrails for "high-risk" AI | DailyAI

Australia is considering imposing mandatory guardrails on AI in high-risk settings
The Australian government proposed implementing measures to ensure AI systems are safe in difficult or impossible to reverse harms
moreai-regulation

At VA, cloud is still emerging tech

Kurt DelBene, the top tech official at the Department of Veterans Affairs, believes the shift to the cloud is still a big trend with huge potential.
The agency wants to move every system to the cloud, shutting down data centers for more scalability and resiliency.

'We had to put down some rigorous guardrails,' CES speakers navigate the drawbacks of AI

Industry leaders discuss bias in AI at CES 2024
Companies are taking proactive measures to self-regulate AI systems
#AI deployment

Azeem's Picks: Creating AI Responsibly with Joanna Bryson

AI safety is a crucial concern for businesses deploying AI systems.
Conversations with AI safety experts can provide valuable insights on ensuring the trustworthiness of AI.
Azeem's selection of conversations with AI safety experts can help cut through the noise and provide clarity on the topic.

Urgent Call for AI to "Do No Harm" in Biomedicine

Coordinated action is needed to prevent harm from the deployment of AI in biomedicine and clinical care.
The Stanford researchers call for involvement from federal and state governments, academic institutions, and hospitals.
This article emphasizes the importance of addressing the potential risks and ensuring responsible use of AI in healthcare.

Azeem's Picks: Creating AI Responsibly with Joanna Bryson

AI safety is a crucial concern for businesses deploying AI systems.
Conversations with AI safety experts can provide valuable insights on ensuring the trustworthiness of AI.
Azeem's selection of conversations with AI safety experts can help cut through the noise and provide clarity on the topic.

Urgent Call for AI to "Do No Harm" in Biomedicine

Coordinated action is needed to prevent harm from the deployment of AI in biomedicine and clinical care.
The Stanford researchers call for involvement from federal and state governments, academic institutions, and hospitals.
This article emphasizes the importance of addressing the potential risks and ensuring responsible use of AI in healthcare.
moreAI deployment

10 New Ecommerce Books for Summer 2024

A selection of new summer 2024 ecommerce books cover AI deployment, Amazon tactics, cash management, entrepreneurship strategies, marketing basics, and global economic risks.

Army plans multiple AI industry partnerships

The U.S. Army aims to integrate third-party algorithms to enhance modernization and efficiency in its warfighter operations.

Tech Tuesdays: Retail Leads With Gen AI + Sorting Out Cross-Border E-commerce

Retail sector leads in AI deployment and financial gains, outperforming other industries.

Senate bill mandating agency chief AI officers gets House companion

A bipartisan bill, the AI LEAD Act, aims to ensure effective AI deployment and risk mitigation in government agencies through establishing AI chiefs.
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