investment


Developing the AI future

#artificialintelligence

Artificial Intelligence (AI) is starting to change how many businesses operate. The ability to accurately process and deliver data faster than any human could is already transforming how we do everything from studying diseases and understanding road traffic behaviour to managing finances and predicting weather patterns. For business leaders, AI's potential could be fundamental for future growth. With so much on offer and at stake, the question is no longer simply what AI is capable of, but where AI can best be used to deliver immediate business benefits. According to Forrester, 70% of enterprises will be implementing AI in some way over the next year.


The artificial intelligence ETF is one of the most popular fund launches of 2017

#artificialintelligence

One of the most notable success stories on Wall Street in 2017 isn't exactly a human-interest story. The AI Powered Equity ETF AIEQ, -0.31% an exchange-traded fund that uses artificial intelligence technology to select the stocks it holds, has emerged as one of the most successful new funds of the year, proving so popular with investors that it has stunned its own (human) creators. "We were absolutely surprised by the degree of interest," said Art Amador, co-founder of EquBot LLC, which sponsored the fund. "We launched with $2.5 million in assets and were hoping to get to $40 million by the end of the year. Instead, we got that within the first week and now we're north of $70 million.


The artificial intelligence ETF is one of the most popular fund launches of 2017

#artificialintelligence

One of the most notable success stories on Wall Street in 2017 isn't exactly a human-interest story. The AI Powered Equity ETF AIEQ, -0.31% an exchange-traded fund that uses artificial intelligence technology to select the stocks it holds, has emerged as one of the most successful new funds of the year, proving so popular with investors that it has stunned its own (human) creators. "We were absolutely surprised by the degree of interest," said Art Amador, co-founder of EquBot LLC, which sponsored the fund. "We launched with $2.5 million in assets and were hoping to get to $40 million by the end of the year. Instead, we got that within the first week and now we're north of $70 million.


The artificial intelligence ETF is one of the most popular fund launches of 2017

#artificialintelligence

One of the most notable success stories on Wall Street in 2017 isn't exactly a human-interest story. The AI Powered Equity ETF AIEQ, -0.31% an exchange-traded fund that uses artificial intelligence technology to select the stocks it holds, has emerged as one of the most successful new funds of the year, proving so popular with investors that it has stunned its own (human) creators. "We were absolutely surprised by the degree of interest," said Art Amador, co-founder of EquBot LLC, which sponsored the fund. "We launched with $2.5 million in assets and were hoping to get to $40 million by the end of the year. Instead, we got that within the first week and now we're north of $70 million.


The artificial intelligence ETF is one of the most popular fund launches of 2017

#artificialintelligence

One of the most notable success stories on Wall Street in 2017 isn't exactly a human-interest story. The AI Powered Equity ETF AIEQ, -0.31% an exchange-traded fund that uses artificial intelligence technology to select the stocks it holds, has emerged as one of the most successful new funds of the year, proving so popular with investors that it has stunned its own (human) creators. "We were absolutely surprised by the degree of interest," said Art Amador, co-founder of EquBot LLC, which sponsored the fund. "We launched with $2.5 million in assets and were hoping to get to $40 million by the end of the year. Instead, we got that within the first week and now we're north of $70 million.


The artificial intelligence ETF is one of the most popular fund launches of 2017

#artificialintelligence

One of the most notable success stories on Wall Street in 2017 isn't exactly a human-interest story. The AI Powered Equity ETF AIEQ, -0.31% an exchange-traded fund that uses artificial intelligence technology to select the stocks it holds, has emerged as one of the most successful new funds of the year, proving so popular with investors that it has stunned its own (human) creators. "We were absolutely surprised by the degree of interest," said Art Amador, co-founder of EquBot LLC, which sponsored the fund. "We launched with $2.5 million in assets and were hoping to get to $40 million by the end of the year. Instead, we got that within the first week and now we're north of $70 million.


LiveTiles and Microsoft will roll out LiveTiles Bots artificial intelligence solution in U.S.

#artificialintelligence

The information on this Site is of a general nature only. It does not take your specific needs or circumstances into consideration, so you should look at your own financial position, objectives and requirements and seek financial advice before making any financial decisions. You acknowledge and understand that neither the Company, its related bodies corporate, the information providers or their affiliates will advise you personally about the nature, potential value or suitability of any particular security, portfolio of securities, transaction, investment strategy, or other matter. You should read our FSG and any other relevant disclosure documents and if necessary seek persona advice prior to making any investment decision. You understand and agree that no Content (as defined below) published on the Site constitutes a recommendation that any particular security, portfolio of securities, transaction, or investment strategy is suitable or advisable for any specific person.


How can Retail and E-commerce Benefit from Data Science

#artificialintelligence

The global retail analytics market is expected to grow by $5.1 billion by 2022 to an estimated $8.64 billion. This extraordinary growth will largely be driven by the use of data science in disrupting the retail sector -- changing the way retailers do business online and offline, from the way stores organise their layout to hyper-targeted and optimised pricing and offers. In the UK alone, the retail sector is worth more than £368bn, employs 2.3 million people and accounts for 1/3 of all consumer spending. Retail generates huge amounts of highly valuable data that businesses are only recently starting to utilise. However, recent reports suggest that the sector is struggling, due to changing spending habits and shifting shopping trends.


How Financial Analysts can leverage web data extraction - Import.io

@machinelearnbot

Financial analysts have long relied on traditional sources of data, such as company filings, to track trends in the stock market and investments. But, leveraging web data extraction of non-traditional sources can put you ahead of the trends in the sectors you manage. While anyone can leverage readily-available information on the web, it's tedious to research and sift through the information to turn the data into something useable. Data extraction of non-traditional web sources can help you quickly gather large amounts of data to help refine equity and finance research and recommendations. If you're looking for new ways to improve the efficiency of your role as a financial analyst, here's how to leverage web data extraction for success.


Remark Holdings…Notes From My Meeting With The CEO

#artificialintelligence

I had the pleasure of meeting Shing Tao, the CEO of Remark Holdings (NASDAQ:MARK), on Monday night. He had just flown into San Francisco from Beijing and I was meant to be his first meeting before dinner and some shut eye; he had a big Tuesday in front of him with Roth Capital (whose analyst loves MARK, although they haven't been their bankers) taking him on a Non-Deal Roadshow and introducing him to several institutional investors. Remark has been very hot lately, jumping almost 200% in value since the company reported Q3 earnings in mid-November. The move came on the back of 2018 revenue guidance for their Artificial Intelligence operating subsidiary, KanKan. They guided to $30M in KanKan AI revenues for next year, which would be a 500% increase over 2017.