Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. In a recent post, I highlighted technologies are most important to large banks using results from a BankDirector survey. That survey hinted that Data and AI are high priorities within large banks, and Automation and Data Analytics emergedContinue reading “One Simple Chart: primary applications of AI in Financial Services”
Tag Archives: finance
One Simple Chart: what technologies are most important to large banks
As someone who speaks with many technology startups in the software space, I know how important the financial services sector can be to software companies. Companies in this sector have significant technology budgets and increasing competition from fintech startups has accelerated their adoption of new technologies. More financial companies are using cloud platforms and machineContinue reading “One Simple Chart: what technologies are most important to large banks”
The real value of data requires a holistic view of the end-to-end data pipeline
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications. In this episode of the Data Show, I spoke with Ashok Srivastava, senior vice president and chief data officer at Intuit. He has a strong science andContinue reading “The real value of data requires a holistic view of the end-to-end data pipeline”
8 fintech trends for 2018
[A version of this post appears on the O’Reilly Radar.] AI, blockchain, payment regionalization, and other fintech trends to watch. 2017 saw big changes, a lot of investment, and some regulatory challenges in fintech. What will 2018 bring? Here’s what we’ll be watching in the coming year. 1. AI will be implemented across the stackContinue reading “8 fintech trends for 2018”
Programming collective intelligence for financial trading
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Geoffrey Bradway on building a trading system that synthesizes many different models. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.Continue reading “Programming collective intelligence for financial trading”
Data science for humans and data science for machines
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Li on the state of data engineering and data science training programs. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud,Continue reading “Data science for humans and data science for machines”
Is 2016 the year you let robots manage your money?
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show podcast: Vasant Dhar on the race to build “big data machines” in financial investing. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. In this episode of the O’Reilly Data Show,Continue reading “Is 2016 the year you let robots manage your money?”
Network Science Dashboards
Networks graphs can be used as primary visual objects with conventional charts used to supply detailed views [A version of this post appears on the O’Reilly Data blog.] With Network Science well on its way to being an established academic discipline, we’re beginning to see tools that leverage it. Applications that draw heavily from thisContinue reading “Network Science Dashboards”
Financial analytics as a service
[A version of this post appears on the O’Reilly Strata blog.] In relatively short order Amazon’s internal computing services has become the world’s most successful cloud computing platform. Conceived in 2003 and launched in 2006, AWS grew quickly and is now the largest web hosting company in the world. With the recent addition of KinesisContinue reading “Financial analytics as a service”
The re-emergence of Time-series
[A version of this post appeared on the O’Reilly Strata and Radar blogs.] My first job after leaving academia was as a quant1 for a hedge fund, where I performed (what are now referred to as) data science tasks on financial time-series. I primarily used techniques from probability & statistics, econometrics, and optimization, with occasionalContinue reading “The re-emergence of Time-series”