BigData News Thursday, May 10 Digital marketing, Founder ken gardner, Big data & more…

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What’s new?

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Award-Winning Data Science Startup conDati Completes $4.75 Million A Round

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  • The Conclusion of the Round Is the Latest in a Series of Recent Highlights for conDati – – conDati Inc., a provider of next-generation analytics for digital marketing, announced on Tuesday the completion of its Series A financing, bringing the total round to $4.75 million.
  • The conclusion of the round is the latest in a series of recent highlights for conDati, including receiving an award for applying machine learning to marketing ROI and bringing multiple customers into pre-launch deployments.
  • The completed financing positions the company for a commercial launch of its Big Data as a Service (BDaaS) solutions for digital marketing later this spring.
  • Marketing departments have been forced to make do with screen-scraping, spreadsheets, and DIY projects for far too long, notes Jeff Webber, Managing Director of TEF, who also led conDatis previous financing.
  • conDati has made great progress in applying data science to Marketing to create what is going to be a transformational solution.

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: digital marketing, conDati Marketing Analytics, founder Ken Gardner, digital marketing campaigns, data science [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Award-Winning Data Science Startup conDati Completes $4.75 Million A Round [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_news_hm_big_data_analytics_artificial_intelligence_523253__”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

H&M wants to sell more floral skirts and big data is helping

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  • H&M earned its title as the world’s largest fashion brand, but to maintain such a standing and its customers base, the retailer is changing how it uses data analysis to better understand individual store locations, according to The Wall Street Journal.
  • In lieu of using just H&M’s team of designers to understand emerging trends to offer shoppers, the retailer is using algorithms to help assess customer receipts, returns and loyalty card data, according to the report.
  • The international retailer has 4,288 stores to account for, and 200 data scientists, analysts and engineers are working to help manage the data collected from purchase patterns for every item on the store sales floors, according to the report.
  • Just as that data goes through analysis, the algorithms continuously work to follow shoppers’ ever-changing behavior and expectations, Nils Vinge, H&M’s investor relations head, told the WSJ.
  • But just like the huge clothing inventory H&M possess, big data can be hard to handle without a form of AI automation in place.

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: big data, loyalty card data, individual store locations, data collections analytics, Wall Street Journal [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] H&M wants to sell more floral skirts and big data is helping [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_40570808_heres_who_dies_in_game_of_thrones_s8_according_to_data_science_”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

Here’s Who Dies In “Game Of Thrones” S8, According To Data Science

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  • Why we care: Nobody was prepared for it when Ned Stark (Sean Bean) literally lost his head in the first season of Game of Thrones.
  • His death was a shot across the audiences bow, signaling that no character was safe.
  • The high-profile deaths have arrived with such regularity that one could conceivably predict who goes next.
  • Larkin took info on the shows bajillions of characters, scraped from a fan-made wikiincluding data points like house, gender, nobility status, age, and number of relatives already killedand used automated machine learning from DataRobot to determine who is most likely to die in the shows final season, which is scheduled…
  • Have a look at the results below, but keep in mind that the data comes from the Song of Fire and Ice books, rather than the show, which has taken some necessary liberties in its later seasons.

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: Taylor Larkin, scientist Taylor Larkin, data scientist, fan-made wiki–including data, entire complicated process [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Here’s Who Dies In “Game Of Thrones” S8, According To Data Science [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_news_releases_pareteum_publishes_predictive_analytics_and_machine_learning_whitepaper_300646060_html_”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

Pareteum Publishes Predictive Analytics and Machine Learning Whitepaper

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  • The Whitepaper explores how the Pareteum Global Cloud Service Platform uses Predictive Analytics and Machine Learning to provide opportunities for our customers to become more efficient, effective and profitable, while also providing a better-quality service or product and a better overall customer experience.
  • Pareteum’s Insight Engine provides a deep and clear visibility into the end-customer experience and trends which helps to better target the audience, their interests and final results on end-customers with a strong sense of loyalty, significantly enhancing the capacity for successful marketing, improving customer engagement and conversion, revenue growth and…
  • Hal Turner, Pareteum’s Executive Chairman and Principal Executive Officer, stated, Pareteum’s Insight Engine is a valuable tool that our customers use to grow every facet of their business.
  • Because such statements involve risks and uncertainties, the actual results and performance of Pareteum may differ materially from the results expressed or implied by such forward-looking statements.
  • Unless otherwise required by law, Pareteum also disclaims any obligation to update its view of any such risks or uncertainties or to announce publicly the result of any revisions to the forward-looking statements made here.

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[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Pareteum Publishes Predictive Analytics and Machine Learning Whitepaper [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_article_carnegie_mellon_university_new_artificial_intelligence_major_20647492_”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

Carnegie Mellon University to offer new artificial intelligence major

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[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Carnegie Mellon University to offer new artificial intelligence major [/vc_column_text] [/vc_column] [/vc_row]