
Algorithm-X Lab provides #ArtificialIntelligence #AI #MachineLearning #DataScience intelligence, insights, market research and events for business leaders.
London, Hong Kong, Shanghai
Joined September 2017
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Algorithm-X Lab - Official Site of AI Insights retweeted
"The vast majority of what we call #AI today isn’t coded but trained" - a very interesting perspective from @guardiantech theguardian.com/technology/2…
Essential Enterprise AI Companies Landscape
Enterprise AI companies are increasingly growing in value and relevance. Global IT spending is expected to soon reach, and algorithmxlab.com/blog/enter…
Computer Vision Applications in 10 Industries
Computer vision, or abbreviated to CV, is an increasingly important technology in the field of artificial intelligence. algorithmxlab.com/blog/compu…
VC Says Crazy Thoughts are a Start to AI Dream We sat down with Spiros Margaris, Venture Capitalist at Margaris Ventures and AI Influencer to discuss the state of VC funding of algorithmxlab.com/blog/ventu…
Microsoft – From Rudderless Giant to AI First Microsoft is one of the world's most ubiquitous technology company. Best known for their Microsoft Windows operating systems the algorithmxlab.com/blog/micro…
AI Model Development isn’t the End; it’s the Beginning AI model development isn’t the end; it’s the beginning.
Like children, successful models need continuous algorithmxlab.com/blog/ai-mo…
Top 25 AI Software for the Banking Industry
AI software is a major growth industry. Tractica predicts that by 2025 it will be worth $118.6 billion dollars.
This growth algorithmxlab.com/blog/ai-so…
Facial Recognition: All you Need to Know
Facial recognition system is fast becoming one of the most important and controversial technology.
Facial recognition is a algorithmxlab.com/blog/facia…
Interview: AI Fun Begins After Data Engineering SAS announced a $1 Billion investment in AI a few months ago. We sat down with Iain Brown, Head of Data Science at SAS to algorithmxlab.com/blog/ai-fu…
IBM Watson: What you Need to Know
IBM Watson, in the simplest terms, is a question-answering computer system.
It is able to answer a question posed in natural language. algorithmxlab.com/blog/ibm-w…
Will Google AI Ever Rule the World?
Internet giant Google has recently been sharpening its focus on dominating AI.
Not content with its almost monopolistic hold of algorithmxlab.com/blog/will-…
Big Data: All the Stats, Facts, and Data You’ll Ever Need to Know
Big data is becoming increasingly important for businesses and organisations.
An IDC algorithmxlab.com/blog/big-d…
VC Says Crazy Thoughts are a Start to AI Dream We sat down with Spiros Margaris, Venture Capitalist at Margaris Ventures and AI Influencer to discuss the state of VC funding of algorithmxlab.com/blog/ventu…
10 Amazing Examples Of Natural Language Processing
Natural language processing (NLP) is an increasingly becoming important technology.
This application is helping to algorithmxlab.com/blog/natur…
Data Science – 8 Powerful Applications
Data science is one of the most exciting emerging fields.
As we will see throughout the course of this article it is algorithmxlab.com/blog/data-…
Essential Enterprise AI Companies Landscape
Enterprise AI companies are increasingly growing in value and relevance. Global IT spending is expected to soon reach, and algorithmxlab.com/blog/enter…
Top 50 RPA Tools – A Comprehensive Guide
RPA software and RPA tools play a vital role in automation.
As the drive for automation continues, RPA is increasingly algorithmxlab.com/blog/rpa-t…
Microsoft – From Rudderless Giant to AI First Microsoft is one of the world's most ubiquitous technology company. Best known for their Microsoft Windows operating systems the algorithmxlab.com/blog/micro…
10 Amazing Examples Of Natural Language Processing
Natural language processing (NLP) is an increasingly becoming important technology.
This application is helping to algorithmxlab.com/blog/natur…
Current AI Models Aren’t Good Enough We sat down with Scott Zoldi Chief analytics officer at FICO to discuss responsible AI and why current AI models aren't 'good' enough. algorithmxlab.com/blog/ai-mo…

