Amazon releases Kendra to solve enterprise search with AI and machine learning – TechCrunch

  • “Today the company announced the general availability of Amazon Kendra, its cloud enterprise search product that the company announced last year at AWS re:Invent.
  • Amazon is trying to change the enterprise search game by putting it into a more modern machine learning-driven context to use today’s technology to help you find that perfect response just as you typically do on the web.”

https://www.google.com/amp/s/techcrunch.com/2020/05/11/amazon-releases-kendra-to-solve-enterprise-search-with-ai-and-machine-learning/amp/

AI and Dark Stores among key e-commerce trends to watch out for in 2020

“Deeper AI Integrations: From automated chatbots to image recognition and personalization, Artificial Intelligence is expected to play a larger role in mcommerce.

AI and ML will see a greater play in Ecommerce

Here are top expected applications of AI in Ecommerce:

• Personalized User Journeys

• Predictive Product Recommendations

• In-store Insights & Customer Engagement

• Dynamic Pricing

• Predictive Behavior Modeling

• Visual Search”

https://www.google.com/amp/s/www.expresscomputer.in/amp/columns/ai-and-dark-stores-among-key-e-commerce-trends-to-watch-out-for-in-2020/44678/

Intelligent Search in Banking and Financial Services – Current Capabilities

  • “The  potential influence of artificial intelligence and machine learning on enterprise search can be understood as two important capabilities:
  • Making more information accessible – An AI application can also accomplish this through automatically adding metadata to backlogs of enterprise data.
  • Enabling companies to ask deeper questions – Employees could search for documents and information beyond what directly pertains to a single keyword.”

https://emerj.com/partner-content/intelligent-search-in-banking/

The AI stack that’s changing retail personalization

“With the sheer amount of products being sold online, shoppers primarily discover products through category or search-based navigation. However, inconsistencies in product metadata created by vendors or merchandisers lead to poor recall of products and broken search experiences. This is where image recognition and machine learning can deeply analyze enormous data sets and a vast assortment of visual features that exist in a product to automatically extract labels from the product images and improve the accuracy of search results.”

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.”

https://www.google.com/amp/s/www.livemint.com/v/s/www.livemint.com/technology/tech-news/google-searches-for-better-results-with-ai/amp-11572021992410.html%3famp_js_v=0.1&usqp=mq331AQCKAE%253D#ampf=