AnalytixInsight Inc. (TSX.V: ALY) (OTCQB: ATIXF) Provides

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AnalytixInsight Inc. (TSX.V: ALY) (OTCQB: ATIXF) Provides Crystal Ball-Like Capacity via AI for Investors, Corporations

- Global big data revenue forecasts predict $80 billion level within three to five years
- AnalytixInsight delivers insightful analysis amid roiling market trends
- Company to present at annual MicroCap Conference in April

In an increasingly turbid marketplace where a presidential tweet or catchphrase-worthy tech innovation can stir up intense trading activity seemingly at a moment’s notice, investor reliance on the crystal ball-like qualities of artificial intelligence is becoming a necessity for capital survival. Amid the frothiness of shifting currents, AnalytixInsight Inc. (TSX.V: ALY) (OTCQB: ATIXF) has built on its pioneering predictive technology to create algorithms that are able to forecast future corporate events with often remarkable precision, and the company markets this tech under a SaaS model that is both affordable and intuitive for retail and institutional clients.

AnalytixInsight’s machine learning platform, CapitalCube (www.CapitalCube.com), turns big data into actionable information, delivering useful insights in a narrative form that allows investors to move decisively as they examine research on some 50,000 global companies and ETFs. CapitalCube algorithmically analyzes market price data and regulatory filings for investors, finance portals and media outlets including Yahoo Finance, The Wall Street Journal and Thomson Reuters.

The machine learning platform capabilities also extend to predictive functions in more traditional targeted solutions for companies examining their workflow schedules, product movements and other infrastructure aspects in search of ways to cull increased efficiency from their operations. AnalytixInsight’s ownership of workflow efficiency-boosting Euclides Technologies Inc. (www.EuclidesTech.com), through which it strives to improve the efficiencies of the clients it serves, gives the company a base of operations to utilize machine learning in workforce management within a wide range of industries, including insurance, manufacturing, telecommunications, home services, utilities, oil and gas.

“There is no safety in momentum anymore,” Alain Bokobza, head of global asset allocation at Société Générale, told the Wall Street Journal in a discussion of the rise in low volatility and credit spreads coinciding with questions about ‘safe’ strategies that bet on FAANG tech stocks, as evidenced in the big selloffs that opened the second quarter in stocks worldwide (http://nnw.fm/Ra2j3).

Facebook and Google have become the poster children for the successes and excesses of big data’s potential in the building of a company’s revenue stream model. AnalytixInsight’s operation is a smaller-scale effort to directly serve clients with specific big data analytics needs and benefits from agreements with institutions such as Intesa Sanpaolo, Samsung and Euronext.

On April 9-10, the company will further increase its visibility by presenting at this year’s MicroCap Conference in New York City. The MicroCap Conference is an exclusive opportunity for interested investors to speak with the management of the most attractive small companies, learn from various expert panels and mingle with other microcap investors (http://nnw.fm/jaU6G).

AnalytixInsight saw a record quarter-over-quarter revenue rise of 77 percent last year accompanied by a 600 percent increase in its year-to-year numbers. Analysis portal Statista.com reported that overall revenues in the global big data industries amounted to just under $34 billion by the end of 2017 (http://nnw.fm/BF3fz) and forecast an increase to nearly $80 billion in the next five years. SNS Research estimates a CAGR of about 10 percent during the next three years resulting in a market value of about $76 billion by the end of 2020 (http://nnw.fm/tp56I).

For more information, visit the company’s website at www.AnalytixInsight.com

Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer

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