Gen AI: 8 Takeaways for Enterprise Leaders
Generative AI and LLMs are being hailed as the most influential technology since the internet.
Making Your AI Work
August 02, 2023
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Midjourney Prompt: The Impact of AI and large language models on Enterprise
Welcome Aboard Humans
“Right now every company, no matter the size or industry, should be thinking about AI. AI is moving from its auto-pilot phase, which was all about narrow, purpose-built tools that use machine learning models to make predictions, recommendations, and automate, to its copilot phase, where there’s tremendous opportunity to revolutionize how just about everything gets done.”
- Christopher Young, Harvard Business Review.
Check Out Our Fine Menu Of AI News For The Week:
(Top Story) 8 Key Takeaways for Enterprise Leaders from VB Transform
Exposing Their Golden Handcuffs: Netflix Searching for Top AI Talent
Paving The Way For Human-Machine Interaction
POLL: Give Us Your Thoughts On What You Want to See More of
Midjourney Prompt: the central role of data as the lifeblood of Generative AI
8 Key Takeaways For Enterprise Leaders From VB Transform
Generative AI and LLMs are being hailed as the most influential technology since the internet. VentureBeat recently hosted VB Transform where they unpacked the impact of Generative AI on enterprise:
These are a few of the key insights:
Data is Crucial: Clean, reliable, secure data is vital, fueling LLMs for Generative AI. Firms must prioritise data organisation to maximise AI benefits.
LLMs as Default Interface: LLMs will replace Google-led search, enabling natural language Q&A, creating UX, personalisation, and privacy opportunities.
Build, Borrow, or Piggyback: Companies can build LLMs, fine-tune open-source models, or use APIs like CHATGPT’s raw API based on resources and time-to-market.
Multiple Use Cases: LLMs apply to content generation, ranking personalisation, problem-solving, customer experiences, and new products/companies, fostering rapid growth.
Revenue Generation: Generative AI generates revenue through cost-saving solutions and hardware sales. Brands like L’Oreal, Pepsi, Coca-Cola, and Honda use it for better customisation and sales boost.
Limitations: LLMs excel in text generation and summarisation, other applications may be overrated.
Read the full article here > Link
Exposing Netflix’s Golden Handcuffs: Searching for AI Talent
Netflix is hiring for an AI-focused product manager role with a starting salary ranging from $300,000 to $900,000.
The role will involve using AI across all aspects of Netflix's business, including content acquisition and personalising user recommendations. Amid a writers' strike, with artists and performers calling for increased wages and AI regulation in the writers' room, AI experience is becoming increasingly sought-after in other fields, with companies offering six-figure salaries for AI roles.
Read the full article here > Link
Paving The Way For Human-Machine Interaction
Google's DeepMind has developed a "vision-language-action" model, RT-2, that allows humans to instruct robots in real-time using a large language model similar to OpenAI's ChatGPT.
The model uses an association between words and images, along with data from a robot, to create a system where instructions can be typed to a machine as easily as conversing with ChatGPT. This development represents a significant step towards a future where humans can easily instruct machines.
Read the full article here > Link
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