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Machine Learning in Finance: Challenges, Successes & Opportunities

AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial business. Download a new insideHPC special report that explores the benefits, challenges and considerations involved with adopting machine learning in finance.

How Self-Learning Programs Help Businesses Save Time and Money

In this contributed article, technology writer and blogger Kayla Matthews points out that AI and machine learning can learn from experiences without constant input from programmers, and as a result businesses are increasingly looking for ways to use them to make their operations more efficient and cost-effective. Here is a shortlist of some ways that self-learning programs help businesses save time and money.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2017

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Driving Business Value: Transforming Financial Services with AI Technologies

As the financial industry increasingly realizes the impact of faster analytical insights on overall business strategy, artificial intelligence (AI) techniques like machine learning are permeating nearly every industry. Download the new white paper from HPE and NVIDIA to learn how to transform financial services with AI technologies, as well as drive business value with NVIDIA GPU-accelerated deep learning. 

Top 10 2017 Big Data White Papers: Data Science, Machine Learning, AI, Deep Learning & More

In this continuing regular feature, we give all our valued readers an annual heads-up for the top 10 most downloaded articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many members of our audience that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

Where Are We with Computer Vision?

In this article, I’d like to share a nice summary of the state of computer vision from Course 4 “Convolutional Neural Networks” from the new Deep Learning Specialization series on Coursera. Dr. Andrew Ng provides some compelling observations about deep learning and computer vision with the goal of mapping out the future of this increasingly popular technology.

Seeing the Light on the Positive Impacts of AI/ML for Retailers

In this special guest feature, Tom Buiocchi, CEO of ServiceChannel, discusses how new technologies such as AI/ML and modern facilities management (FM) software can help retailers be on the “right” side of creative destruction, a process where new technologies disrupt old ways of doing things in favor of more speed, automation, intelligence, and efficiency.

Lexalytics® Launches New AI Development Platform to Help Customers Quickly Build, Customize and Deploy NLP Applications

Lexalytics®, a leader in “words-first” machine learning and artificial intelligence, announced the launch of Lexalytics AI Assembler, a new machine learning platform that simplifies and accelerates the process of gaining insights from the large quantity of natural language data inundating the enterprise. Lexalytics is also launching a limited-availability beta release of Semantria Storage & Visualization, […]

How Computers Learn

This Vienna Gödel Lecture provides a fascinating talk by Peter Norvig, Research Director at Google Inc. in the field of intelligent computers. Norvig talks about his long experience in AI and Machine Learning. The talk explains how computers learn from examples and what are the promises and limitations of these techniques.

Advancing the Financial Services Industry Through Machine Learning

As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. Download the new insideHPC guide that is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of machine learning, to those looking to expand and maximize its use.