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James Thomason

James Thomason

Technologist, Entrepreneur, Investor, and Author at VentureBeat

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Influence score
54
Location
United States
Languages
  • English
Covering topics
  • Artificial Intelligence
  • General Assignment News

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Recent Articles

venturebeat.com

When dirt meets data: ScottsMiracle-Gro saved $150M using AI

How a semiconductor veteran turned over a century of horticultural wisdom into AI-led competitive advantage 
venturebeat.com

Retail resurrection: David's Bridal bets its future on AI after dou...

How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model for the 75-year-old retailer.
venturebeat.com

Retail resurrection: David’s Bridal bets its future on AI after dou...

How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model for the 75-year-old retailer.
venturebeat.com

Edge computing’s rise will drive cloud consumption, not replace it

Successful edge AI deployments require deep integration between edge and cloud, complex orchestration and new approaches to data management. 
venturebeat.com

Unlocking generative AI’s true value: a guide to measuring ROI

In the race to harness the transformative power of gen AI, enthusiasm alone won't generate returns.
venturebeat.com

Grounding LLMs in reality: How one company achieved 70% productivit...

Drip Capital overcame AI challenges like hallucinations, improved document processing efficiency and applied AI to risk assessment.
venturebeat.com

Arcee AI unveils SuperNova: A customizable, instruction-adherent mo...

Arcee AI's launch of SuperNova today, a 70 billion parameter language model designed for enterprise deployment. It aims to provide a powerful, ownable alternative to API-based services and address key concerns around data privacy, model stability and customization.
venturebeat.com

Inside Amazon’s new ‘Just Walk Out’: AI transformers meets edge com...

We’re about to see the new AI-based system Amazon has developed, which uses multi-modal foundation models and transformer-based ML.
venturebeat.com

Small language models rising as Arcee AI lands $24M Series A

Arcee AI is enabling small language models with a $24M Series A funding round and the launch of Arcee Cloud. This innovative platform offers a hosted SaaS version of their AI, complementing the in-VPC Arcee Enterprise. Led by Emergence Capital, the funding underscores growing investor confidence in efficient, domain-specific AI. Arcee’s Co-Founder and CEO, Mark McQuade, discusses the shift towards small language models for specialized tasks, highlighting their cost-effectiveness, faster deployme…
venturebeat.com

SambaNova Systems wins Coolest Technology Award at VentureBeat Tran...

This recognition underscores the company’s innovative approach to AI computation and its potential to reshape the enterprise AI landscape.
venturebeat.com

Open-TeleVision: Why human intelligence could be the key to next-ge...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Last week, researchers at MIT and UCSD unveiled a new immersive remote control experience for robots. This innovative system, dubbed “Open-TeleVision,” enables operators to actively perceive the robot’s surroundings while mirroring their hand and arm movements. […]
venturebeat.com

Beyond GPUs: Innatera and the quiet uprising in AI hardware

We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More While much of the tech world remains fixated on the latest large language models powered by Nvidia GPUs, a […]
venturebeat.com

From code to impact: Devs unleash AI in energy at Crusoe’s hackathon

The event showcased how AI tools can compress months or years of traditional work into mere hours, potentially revolutionizing clean energy deployment.
venturebeat.com

Gen AI takes over finance: The leading applications and their chall...

It’s important to note that while some roles are experiencing significant gen AI impact already, others remain largely unaffected due to the complex nature of their work, the need for human judgment, or the importance of personal relationships in their functions.
venturebeat.com

AWS AI takeover: 5 cloud-winning plays they’re using to dominate th...

Analysis Don’t miss OpenAI, Chevron, Nvidia, Kaiser Permanente, and Capital One leaders only at VentureBeat Transform 2024. Gain essential insights about GenAI and expand your network at this exclusive three day event. Learn More The video call connected with a burst of static, like the sudden death of a thousand startups. Here is Matt Wood, VP […]
venturebeat.com

Swallow this robot: Endiatx’s tiny pill examines your body with cam...

Swallow this robot: Endiatx’s tiny pill examines your body with cameras, sensors
venturebeat.com

The Cloud wins the AI infrastructure debate by default

Analysis As artificial intelligence (AI) takes the world by storm, an old debate is reigniting: should businesses self-host AI tools or rely on the cloud?
venturebeat.com

Proposed law to control powerful AI models will destroy California’...

If passed into law, it will kill innovation, concentrate power in the hands of tech giants, and cost California thousands of jobs.
venturebeat.com

How AI’s energy hunger upends IT’s procurement strategy

According to EPRI, the demand is being driven largely by generative AI, which can require exponentially more power per query than traditional search.
venturebeat.com

What’s eating B2B SaaS

Analysis Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here. On Thursday, SalesForce (CRM) released weaker than expected earnings, resulting in the biggest […]
venturebeat.com

Dell earnings reveal sluggish enterprise AI adoption - VentureBeat

AI is still incredibly complicated for the average customer. Processing, training, and deployment pipeline is a fragile Rube Goldberg machine