01. Mutisya Ndunda, LogitBot, Visits #theCUBE!. (00:19)
02. Michael Bishop, LogitBot, Visits #theCUBE!. (00:22)
03. Tell Us About LogitBot. (00:29)
04. Are You An Alpha Geek. (02:56)
05. Michael Are You A Platform Builder. (03:55)
06. Is Everything You Do A Trade Secret. (04:60)
07. How Do You Apply Big Data Principles To Narrow Down To The Data That Matters. (08:09)
08. Do You Plug Into A Lot Of API's To Assemble The Data. (10:50)
09. Do You Sell A Subscription. (14:08)
10. What Is Your Pricing Model. (18:03)
11. Tell Us More About The Company. (19:06)
12. Are There Any Infrastructure Investments In What You Do. (20:36)
13. Are You Disrupting Bloomburg. (22:06)
Track List created with http://www.vinjavideo.com.
--- ---
The financial industry gets an AI research assistant | #SeizeTheData
by Heather Johnson | Sep 3, 2016
The financial sector has embraced data in a big way. A new company, LogitBot, Inc., takes advantage of this convergence by providing a platform for financial insights. They call it an AI research assistant.
At its core, LogitBot resembles many others platforms in that it ingests enormous amounts of data and distills it into insights and predictions for end users. Its financial focus sets it apart. LogitBot helps customers identify relevant information that impacts the stock market. It may help customers forecast stock returns. It also monitors financial news daily to find out how it impacts customers’ investments.
Mutisya Ndunda, founder and CEO of LogitBot, Inc., and Michael Bishop, CTO of LogitBot, talked with Dave Vellante (@dvellante) and Paul Gillin (@pgillin), cohosts of theCUBE, from the SiliconANGLE Media team, during the HPE Big Data Conference. “We apply AI technologies to extract information, summarize it and find value that is hidden,” Ndunda said. “We can give our clients an informational advantage.”
Weeding out the data that matters
Bishop said that the product’s enormous filtering helps it weed out the data that matters. “We may ingest 70,000 news sources that have been ranked by hand in order of importance and reliability,” Bishop said.
Ndunda explained that the company also experiments. “We can run thousands of tests and find what’s meaningful,” he said. “We can simultaneously try 50,000 or 100,000 experiments.”
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Mutisya Ndunda & Michael Bishop, LogitBot - HPE Big Data Conference - #SeizeTheData - #theCUBE
01. Mutisya Ndunda, LogitBot, Visits #theCUBE!. (00:19)
02. Michael Bishop, LogitBot, Visits #theCUBE!. (00:22)
03. Tell Us About LogitBot. (00:29)
04. Are You An Alpha Geek. (02:56)
05. Michael Are You A Platform Builder. (03:55)
06. Is Everything You Do A Trade Secret. (04:60)
07. How Do You Apply Big Data Principles To Narrow Down To The Data That Matters. (08:09)
08. Do You Plug Into A Lot Of API's To Assemble The Data. (10:50)
09. Do You Sell A Subscription. (14:08)
10. What Is Your Pricing Model. (18:03)
11. Tell Us More About The Company. (19:06)
12. Are There Any Infrastructure Investments In What You Do. (20:36)
13. Are You Disrupting Bloomburg. (22:06)
Track List created with http://www.vinjavideo.com.
--- ---
The financial industry gets an AI research assistant | #SeizeTheData
by Heather Johnson | Sep 3, 2016
The financial sector has embraced data in a big way. A new company, LogitBot, Inc., takes advantage of this convergence by providing a platform for financial insights. They call it an AI research assistant.
At its core, LogitBot resembles many others platforms in that it ingests enormous amounts of data and distills it into insights and predictions for end users. Its financial focus sets it apart. LogitBot helps customers identify relevant information that impacts the stock market. It may help customers forecast stock returns. It also monitors financial news daily to find out how it impacts customers’ investments.
Mutisya Ndunda, founder and CEO of LogitBot, Inc., and Michael Bishop, CTO of LogitBot, talked with Dave Vellante (@dvellante) and Paul Gillin (@pgillin), cohosts of theCUBE, from the SiliconANGLE Media team, during the HPE Big Data Conference. “We apply AI technologies to extract information, summarize it and find value that is hidden,” Ndunda said. “We can give our clients an informational advantage.”
Weeding out the data that matters
Bishop said that the product’s enormous filtering helps it weed out the data that matters. “We may ingest 70,000 news sources that have been ranked by hand in order of importance and reliability,” Bishop said.
Ndunda explained that the company also experiments. “We can run thousands of tests and find what’s meaningful,” he said. “We can simultaneously try 50,000 or 100,000 experiments.”
