This feature from Bloomberg explores how the AI frenzy is wreaking havoc on the power systems. In the US, data centers are projected to use 8% of total power by 2030, up from 3% in 2022. For this week’s posts, click on the paragraph links.
>>>This feature from Forbes covers the highlights of the Worldwide Developers Conference last week where Apple unveiled its own GenAI vision among other things. For this week’s posts, click on the paragraph links.
>>>This guide from Gartner explores GenAI trends and technologies and provides insights on where GenAI stands and where the technology is going to maximize business impact. For this week’s posts, click on the paragraph links.
>>>This report from Gartner expects revenue from semiconductors to grow 33% to $71 billion in 2024. Value of AI accelerators used in data center servers is expected to reach $21 billion in 2024 and increase to $33 billion by 2028. For this week’s posts, click on the paragraph links.
>>>This report from CB Insights looks at how the machine learning security (MLSec) market is growing as companies deploying generative AI-powered solutions invest in securing their AI applications against threats like sensitive data loss, data poisoning, and prompt injection. Startups in the space raised $213M last year, up from $70M a year ago. For the last two weeks’ posts, click on the paragraph links.
>>>This report from Gartner identifies the top data and analytics trends for 2024 that emphasize AI’s strategic impact and the need for trust in data. For the last fortnight’s posts, click on the paragraph links.
>>>Sramana Mitra: What kind of deal was it? What were you charging? What were they charging you to let you sell on there through them?
João Aroso: It was a revenue share model. We had a very light minimum commitment, around a $100K a year. Everything was revenue shared.
Sramana Mitra: So until this point, what you are doing has been more the SaaS business. The FinTech business is just starting to come into play.
Felix Rodriguez: Yes, but we spent most of our time and engineering resources in building an expense management platform, a card connecting with banks, handling repayments, dealing with fraud, building underwriting, getting the team, and being able to report to our credit provider.
>>>