Where is AI Used the Most? In Cybersecurity

  • “Data suggests that artificial intelligence was put to work in a cybersecurity capacity more than in any other area of service last year. With the use of deep learning algorithms, AI is leading the charge on a secure internet.
  • Specifically in detecting and deterring security intrusions, with 44 percent of all AI applications being used for that purpose.
  • Azure Sentinel, Microsoft’s cloud-based SIEM (security information and event management) tool is one such example of an artificial intelligence that doesn’t just automate security operations tasks but uses algorithms to learn from its actions. Like any AI, the more data it receives, the more accurate its decisions are in identifying threats and responding to them.”


Sovcombank Invests in Artificial Intelligence

“Sovcombank uses artificial intelligence to collect non-performing liabilities, however, according to Dmitry Gusev, this is only the beginning: ‘The bank also plans to automate staff recruitment, sales, and service quality surveys. The use of artificial intelligence reduces our call center costs by up to 75% with better customer service, and it frees employees for solving complex tasks that cannot be automated yet.'”


ai eCommerce Top 5 Most Popular Posts


Flyzoo Hotel – the world’s first future hotel open

“Flyzoo Hotel, which is Chinese ecommerce and media giant Alibaba Group’s first future hotel, opened today in Qinchengli, a shopping center owned by Alibaba, in Hangzhou, Zhejiang Province.

As the first hotel with a full panorama and large-scale use of artificial intelligence (AI) in the world, Flyzoo Hotel provides customers service through its intelligent experience and facilities.”


Become an AI Company in 90 Days – Prolego.io

“Researchers are continually publishing effective AI models. Hardware is a commodity. But build the highest-quality proprietary dataset and you’ll crush the competition every time.”

Here’s the scoop:

Author is legitimate and knows his stuff (Stanford AI experience)

He has clearly worked with some large corporations based on some of his anecdotes (policy and cross functional alignment will be some of the toughest challenges)

The instructions are specific and practical (top of line system for under $5K and reasonable data set size…good rule of thumb is 50,000 labeled examples)



2019 AI eCommerce Spotlight Awards

Today, I’m proud to announce the 2nd annual “AI eCommerce Spotlight Award” winners. These awards are distributed to recognize those companies that have differentiated themselves from the competition over the prior 12 month period within the ai eCommerce industry.

This year we’re recognizing 4 companies with GOLD and SILVER awards.

To determine the winners, we developed a matrix of factors with individual weights. The scores were then tallied and vendors were stack-ranked by overall performance.



Follow the leaders: Machine learning and AI in the retail sector

“So where should retailers start? The initiative needs to come from the top, Choudhary said. ‘C-suite executives need to be front and centre when driving AI projects for their organisations. They need to have a vision and plan for enterprise-wide AI strategies before they begin to be implemented,’ he said.

Evanna Kearins, VP global field marketing at DataStax, agreed.



2.3 trillion dollars which is likely to grow by over 246% by 2021

“The ecommerce industry has seen tremendous growth in the last decade and it doesn’t look to slow down anytime soon.

2017 alone favored global retail e-commerce sales to the tune of 2.3 trillion dollars which is a trillion dollars extra to what it was in 2014. This figure is likely to grow by over 246% by 2021.

Blockchain, which is one of the most reformative technological inventions of the fourth industrial revolution has already disrupted several major sectors including the finance, health and gaming industries. It is further looking to have a major impact in ecommerce industry.”



Emerj CEO Presented at Harvard on AI in Banking and Finance

“Our perspectives on large AI consulting firms were validated by some of the folks in the audience, including Profesor Freedman. Freedman worked with big consulting firms, one of the likes of Accenture, McKinsey, PwC, and Deloitte (although we are not revealing which one). We’re of the belief that large organizations that might work with these consulting firms are far too naive. They presume that these firms have serious AI talent and that they can handle their needs through consultancies as opposed to through their own in-house data science teams. Professor Freedman let us know that in his experience working with these larger consulting firms on AI-related projects, our suppositions seem to be true.”


Little Rock artificial intelligence start-up set to change the way we do banking

  • “‘I was using one for investments, I was using another for increasing my credit score, I was using something for something else – but everything was not coming together,’ said Akkaraju.
    Akkaraju’s program, BOND.AI, links financial institutions with what he refers to as their “empathy engine” – conversational AI technology through either voice or text that helps create a human-centric approach to banking. The tool is supposed to help banks and lenders better market appropriate services to potential customers and help users save more money.”