Five Trends In Machine Learning Ops: Takeaways From The First Operational ML Conference

How can I put my AI /ML into production to drive ROI? What are the best practices for doing production ML? This post covers 5 trends in machine learning ops, as demonstrated at the first production ML conference, USENIX OpML 2019.

Sourced through Scoop.it from: www.forbes.com

By |2019-07-03T05:47:43-05:00July 3rd, 2019|Categories: Scoop.it|Tags: |

Why Natural Language Processing is the Next Big Thing for Insurers

In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction.

Sourced through Scoop.it from: insidebigdata.com

By |2019-06-28T07:08:22-05:00June 28th, 2019|Categories: Scoop.it|Tags: |

MIT’s new interactive machine learning prediction tool could give everyone AI superpowers –

Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown University researchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” […]

Sourced through Scoop.it from: techcrunch.com

By |2019-06-28T07:06:44-05:00June 28th, 2019|Categories: Scoop.it|Tags: |

AI and Machine Learning in Sales –

Tomorrow’s businesses won’t thrive without AI. In one form or another, competitive organizations are already using artificial intelligence to automate tasks, improve efficiencies, or drive more revenue. For sales and marketing teams, AI and its subfields have finally fused science into the art of selling. Natural language processing (NLP) for example, can help determine customer intent. Machine learning (ML) can recommend the best response for sellers, and A/B testing can identify the most effective playbook for a scenario or customer demographic. Indeed, the time for pitching AI’s business case in sales has long since passed. Instead, the moment calls for

Sourced through Scoop.it from: www.technative.io

By |2019-06-27T09:17:46-05:00June 27th, 2019|Categories: Scoop.it|Tags: |

Using Machine Learning To Move Fact Checking From Articles To Claims

Could natural language processing help transform the way in which fact checking results are applied, flagging the individual sentences within articles that are false or misleading, rather than blacklisting entire Websites?

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By |2019-06-26T08:26:59-05:00June 26th, 2019|Categories: Scoop.it|Tags: |

Are Democratic Presidential Hopefuls Overlooking the Obvious?

Using Science4Data's Natural Language Processing and GetRisk.Info platform to analyze the Democratic Presidential Candidates. Full Story a

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The race for the Democratic Presidential Nomination is crowded and at the forefront of many conversations. Can a front runner emerge with cohesive political and popular support?

 

We use Science4Data’s GetRisk.Info platform to quickly identify important insights. Analysis Using Machine Learning and Natural Language Processing, GetRisk.Info applies and calculates the PESTEL scope across broad media coverage of the race.

By |2019-06-21T16:29:39-05:00June 13th, 2019|Categories: Scoop.it|Tags: |

Democratic Party PESTEL –

Using Science4Data's Natural Language Processing and GetRisk.Info platform to analyze the Democratic Presidential Candidates.
Click Here for the Top 10 Candidates Pestel Analysis

Sourced through Scoop.it from: science4data.com

The race for the Democratic Presidential Nomination is crowded and at the forefront of many conversations. Can a front runner emerge with cohesive political and popular support?

 

We use Science4Data’s GetRisk.Info platform to quickly identify important insights. Analysis Using Machine Learning and Natural Language Processing, GetRisk.Info applies and calculates the PESTEL scope across broad media coverage of the race.

By |2019-06-13T11:18:23-05:00June 13th, 2019|Categories: Scoop.it|Tags: |