Artificial intelligence startups struggle with lack of data, IBM claims breakthrough in quantum computing, and concerns arise over Meta’s AI development.

Date:

Startups in the generative AI field are struggling to find the data needed to build competitive products, despite billions in funding, according to venture capitalist Brad Svrluga. Funding in the field has surged to $12.7bn in the first five months of this year, from $4.8bn in 2022, according to PitchBook. The dilemma for newcomers centres on the challenge of accessing training data sets in specialised areas like healthcare and finance. Startups often seek partnerships with larger companies, but these companies are hesitant to share data due to concerns about cybersecurity. Rather than using pre-existing data, startups may have to train different models for individual clients using only their own data.

See also  Paid Acquisition: The Number One Method for Discovering Product-Market Fit

Frequently Asked Questions (FAQs) Related to the Above News

What issue are startups in the generative AI field facing?

Startups in the generative AI field are struggling to find the data needed to build competitive products, despite billions in funding.

How much has funding in the generative AI field surged to in the first five months of this year?

Funding in the generative AI field has surged to $12.7bn in the first five months of this year, from $4.8bn in 2022, according to PitchBook.

What is the dilemma for newcomers in the generative AI field?

The dilemma for newcomers in the generative AI field centres on the challenge of accessing training data sets in specialised areas like healthcare and finance.

Why are larger companies hesitant to share data with startups seeking partnerships?

Larger companies are hesitant to share data with startups seeking partnerships due to concerns about cybersecurity.

What may startups in the generative AI field have to do instead of using pre-existing data?

Startups in the generative AI field may have to train different models for individual clients using only their own data.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Nisha Verma
Nisha Verma
Nisha is a talented writer and manager at ChatGPT Global News. Her contributions span across various categories, bringing diverse perspectives to our readers. With her natural curiosity and passion for AI-related topics, Nisha offers thought-provoking insights and engaging content.

Share post:

Subscribe

Popular

More like this
Related

UBS Analysts Predict Lower Rates, AI Growth, and US Election Impact

UBS analysts discuss lower rates, AI growth, and US election impact. Learn key investment lessons for the second half of 2024.

NATO Allies Gear Up for AI Warfare Summit Amid Rising Global Tensions

NATO allies prioritize artificial intelligence in defense strategies to strengthen collective defense amid rising global tensions.

Hong Kong’s AI Development Opportunities: Key Insights from Accounting Development Foundation Conference

Discover key insights on Hong Kong's AI development opportunities from the Accounting Development Foundation Conference. Learn how AI is shaping the future.

Google’s Plan to Decrease Reliance on Apple’s Safari Sparks Antitrust Concerns

Google's strategy to reduce reliance on Apple's Safari raises antitrust concerns. Stay informed with TOI Tech Desk for tech updates.