Google searches for better results with AI

“This shift, announced Friday, moves the world’s biggest search engine from spitting out results based on keywords to “something closer to language,” said Ben Gomes, the search chief for Alphabet Inc.’s Google. “We’re very far from solving the problem fully, but this is a huge step forward,” he said at a press briefing.”

How Will Artificial Intelligence Change The Banking Industry?

“Why Banks Are Opting For AI Applications And Services?

There are multiple reasons for the increased adoption of AI in the banking sector. This includes:

1 The immense competition in the banking sector

2 Push for process-driven services

3 Introduce self-service at banks

4 Demand from customers to provide more customised solutions

5 Creating operational efficiencies

6 Increasing employee productivity

7 To help focus on profitability and compliance

8 A vision to augment human work through the use of software robotics

9 To reduce fraud and security risks

10 To manage huge volumes of data at record speed and derive valuable insights

11 To bring in effective decision making”

Google Will Use AI To Determine Where, How Often Site Visitors See Ads Across Its Network

“Google has introduced technology, built on artificial intelligence, that estimates how likely it is that visitors will land on publisher sites that serve the same ad through Google Ad Manager — without revealing any data through third-party cookies.

This is a way for advertisers to manage ad frequency in Display & Video 360, a programmatic ad campaign management platform, and is intended to reduce the number of times the ad is served to a specific consumer without collecting data and compromising their privacy.”

Ai: Where To Begin?

  • “Digital transformation is shifting businesses from process orientation to platform orientation. Google does not have channels — it has a platform, so it does not need a huge team of human intelligence maintaining each touchpoint.
  • What’s The Key to Success In A Platform? The technology is the easiest part. User adoption is the most difficult part of platforms.
  • The Ubers and Facebooks of this world frequently introduce clever features, quickly and at almost zero marginal cost. They are agile enough to exceed customer expectations without any major implementations, upheaval or cost implications, rolling out new offerings and scaling them up or down — at will.”

Will There Be An AI Productivity Boom?

  • “Many of the canonical superstar firms such as Google and Facebook employ relatively few workers compared to their market capitalization” because “their market value is based on intellectual property and a cadre of highly-skilled workers.”
  • How will AI contribute to a boom? Perhaps it will happen indirectly, a process of “trickle-down” productivity, as ordinary firms adopt the AI technologies provided by Google and Microsoft and Amazon in the cloud.”