Results


How Blockchain Will Transform AI – XTRABYTES (XBY) – Medium

#artificialintelligence

Blockchain and Artificial Intelligence (AI) are arguably two of the biggest drivers of technical innovation in our day. As with previous technological advancements, these two fields are quickly building upon their past achievements (and in an accelerating fashion). Both herald an unprecedented rate of technological development far beyond their fields -- and in the very near future as well. If you're reading this blog, you likely understand what blockchain technology entails. For those that don't, a brief explanation will suffice.


Business Intelligence and Machine Learning: Data Matters, Not Just the User Experience

#artificialintelligence

As artificial intelligence (AI) and machine learning (ML) begin to move out of academia into the business world, there's been a lot of focus on how they can help business intelligence (BI). There are a lot of potential in systems that use natural language search to help management more quickly investigate corporate information, perform analysis, and define business plans. A previous column discussing "self-service" business intelligence (BI) briefly mentioned two areas of focus where ML can help BI. While the user interface, the user experience (UX), matters, it's visibility is only the tip of the iceberg. The data being supplied to the UX is even more important.


Me, Myself and AI: Is That My Privacy in the Rearview Mirror?

#artificialintelligence

I had the pleasure of meeting Sophia in London a few weeks ago. Sophia is a popular, outgoing personality that looks a little bit like Audrey Hepburn. As it happens, Sophia is also a machine. What makes her interesting is that she can carry a conversation. She listens to what you say, shows facial expressions as she speaks, answers your questions, and even asks follow-up questions of her own.


Machine Learning in Fintech - Demystified

#artificialintelligence

– Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as "a Field of study that gives computer the ability to learn without being explicitly programmed". Now almost after 58 years from then we still have not progressed much beyond this definition if we compare the progress we made in other areas from same time. The idea of FinTech adopting some best practices from the Big Data and AI (Artificial Intelligence, Machine Learning and Deep Learning) is not so new, have you heard of accepting selfie as authentication for your shopping bill payment, Siri on your iPhone etc. A Decentralized Autonomous Organization (DAO) is a process that manifests these characteristics. It's code that can own stuff. Self-driving car is an excellent example for this. What if you use blockchain to store the state of machine. The key move for blockchain-enabled thinking is that instead of having just one instance of a memory, there could be arbitrarily many copies of a memory, just as there can be many copies of any digital file.



IBM targets AI workloads with POWER9 systems; claims to be faster than x86 - CIOL

#artificialintelligence

Speed to insight is going to emerge as the key competitive differentiator for businesses, as they start stepping into the era of compute-and-speed-hungry artificial intelligence(AI), and deep learning workloads.


Machine Learning And Big Data Know It Wasn't You Who Just Swiped Your Credit Card

International Business Times

You're sitting at home minding your own business when you get a call from your credit card's fraud detection unit asking if you've just made a purchase at a department store in your city. It wasn't you who bought expensive electronics using your credit card – in fact, it's been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent?


Everything you want to know about how AI is transforming banking but were too afraid to ask

#artificialintelligence

The rise of artificial intelligence (AI) is set to change the way banks and financial services operate, as well as the way consumers approach their personal banking. Powerful AI can replace humans with machines, improve customer experience and provide simplified cost-effective solutions for businesses. AI is the science of creating intelligent machines and computer programs that can replace human tasks. Computer programs have vast capabilities to execute tasks quicker than humans can, with embedded algorithms that leave less chance to make human error. Robert Smith, Chairman and CEO of Vista Equity partners said at The World Economic Forum: "Since the invention of computers, we have envisioned that computer systems will take the best of what we think and deliver real time solutions that are more efficient.


Machine Learning in Fintech- Demystified

#artificialintelligence

In 1959, Arther Samuel gave very simple definition of Machine Learning as "a Field of study that gives computer the ability to learn without being explicitly programmed". Now almost after 58 years from then we still have not progressed much beyond this definition if we compare the progress we made in other areas from same time. A Decentralized Autonomous Organization (DAO) is a process that manifests these characteristics. It's code that can own stuff. Self-driving car is an excellent example for this.


Machine learning and big data know it wasn't you who just swiped your credit card

#artificialintelligence

You're sitting at home minding your own business when you get a call from your credit card's fraud detection unit asking if you've just made a purchase at a department store in your city. It wasn't you who bought expensive electronics using your credit card – in fact, it's been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent? Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012.