The New Business of AI (and How It’s Different From Traditional Software)

  • “Anecdotally, we have seen a surprisingly consistent pattern in the financial data of AI companies, with gross margins often in the 50-60% range – well below the 60-80%+ benchmark for comparable SaaS businesses.
  • The compute resources required to train state-of-the-art AI models has grown over 300,000x since 2012, while the transistor count of NVIDIA GPUs has grown only ~4x!
  • Training a single AI model can cost hundreds of thousands of dollars (or more) in compute resources. While it’s tempting to treat this as a one-time cost, retraining is increasingly recognized as an ongoing cost”

The New Business of AI (and How It’s Different From Traditional Software)

An artificial intelligence predicts the future

Image credit- Open AI

“We asked an AI called GPT-2, created by OpenAI, a research outfit. Given a prompt, such as a question or the first sentence of a story, it generates what might plausibly come next. Here are some of its (unedited) ­answers to our questions on the big themes of 2020.

Q: How do you see the economic outlook for 2020?
A: I think it is very unclear. The outlook for the UK economy is uncertain, but the American economy is very strong. I think we are going to have a lot of turbulence in the world economy.”

https://theworldin.economist.com/edition/2020/article/17521/artificial-intelligence-predicts-future


“GPT-2: 1.5B Release As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models. While there have been larger language models released since August, we’ve continued with our original staged release plan in order to provide the community with a test case of a full staged release process. We hope that this test case will be useful to developers of future powerful models, and we’re actively continuing the conversation with the AI community on responsible publication.”

https://openai.com/blog/gpt-2-1-5b-release/

8 Powerful Examples Of AI For Good

  1. “Accessibility – There are more than 1 billion people living with a disability around the world. Artificial intelligence can be used to amplify these people’s abilities to improve their accessibility.
  1. Climate Change, Conservation and the Environment
  1. World Hunger
  1. Human Rights
  1. Fight Fake News
  1. Education
  1. Healthcare
  1. Resilience”

https://www.google.com/amp/s/www.forbes.com/sites/bernardmarr/2020/02/10/8-powerful-examples-of-ai-for-good/amp/

Image credit: Adobe stock

5 key AI trends in customer engagement

“Trend One: Consumers want real conversations

  • People have reached digital overload with…an estimated 63.5 notifications daily per person.

Trend two: Conversational AI is everywhere

  • Use of virtual and voice assistants continues to rise, with Google’s Assistant deployed across one billion devices, and Amazon reporting sales of 100 million Alexa-enabled devices in 2019. 

Trend three: Robocalls kill trust in the phone

  • In the US in 2019, the number of robocalls doubled from 2017: 58 billion robocalls were placed in 2019, equaling roughly 178 calls per person affected.

Trend four: Politics moves beyond the polls

  • “A Twilio study on the efficacy of U.S. presidential campaigns using email found that only 3.8% of campaign emails sent landed in the primary tab of constituent accounts.

Trend five: CX is the differentiator

  • Twilio cites research from Forrester (76% of executives cite improving customer experience as a high or critical priority), Accenture (75% of consumers are more likely to buy from a company which knows their name, purchase history, and recommends products on preferences)”

https://www.google.com/amp/s/www.techrepublic.com/google-amp/article/5-key-ai-trends-in-customer-engagement/

An ever-changing room of Ikea furniture could help AI navigate the world

  • “Now AI2 wants to kill two birds with one stone. On Tuesday, it announced a new challenge called RoboTHOR (THOR for The House Of inteRactions—yes, really).
  • The challenge specifically asks teams to develop algorithms that can get a robot from a random starting location within a room to an object in that room just by telling it the object’s name.”

https://www.google.com/amp/s/www.technologyreview.com/s/615186/ai-ai2-robots-navigate-world-train-algorithms-challenge/amp/

Image credit: AI2