Rohit Bhargava, Innovation and Marketing Expert and Bestselling Author, To Headline GS1 Connect 2020

Attendees Will Learn How To Transform Their Business by Creating New Innovation Strategies and Building Trust
Rohit Bhargava, innovation and marketing expert and bestselling author, will be the featured keynote speaker at GS1 Connect 2020, a conference and exhibition hosted by GS1 US, June 15-18 at the Cosmopolitan in Las Vegas, Nevada.

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Tiger Pistol Furthers Investments, Outlines Goals for Data and Analytics

Focus on Surfacing Unique Customer Insights and Building New Features Around Data Science Backed Recommendations
To align with its efforts to better collect, present, and utilize data to show the real value of social advertising, Tiger Pistol, the only social advertising platform that delivers local activation at global scale, recently announced a series of data engineering hires to accelerate the

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Onapsis Appoints Anshuman Kanwar as General Manager of Products and Technology

Strategic Addition of Former LogMeIn CTO Brings Experience Building Innovative Enterprise Software Solutions to Help Onapsis Guide Customers to the Cloud with Confidence
Onapsis, the leader in business application protection, announced the appointment of Anshuman Kanwar as general manager of products and technology.

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HSBC Builds the Bank of the Future with MuleSoft

HSBC, one of the largest banks in the world, is building a digital platform with APIs to unlock open banking opportunities
DREAMFORCE 2019 — MuleSoft, provider of the leading platform for building application networks, announced that HSBC is leveraging MuleSoft’s Anypoint Platform to build a digital banking platform to power the bank of the future.

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Xero Unveils Deeper Integrations with Microsoft Office 365, Google, HubSpot and More to Solve the Small Business Data Silo

From Initial Contact to Invoice and Ongoing Marketing, Xero Is Building Deeper Integrations with Apps That Small Businesses Use Every Day, Giving Them a Smarter Way to Work
Xero, the global small business platform, announced that it’s building deeper integrations with apps that small businesses use everyday, including Google, Microsoft Office 365, HubSpot and more.

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How Direct-To-Consumer Brands Can Build a Superior Customer Experience

When creating a seamless direct-to-consumer brand, building a MarTech stack that continually adds value to our customers’ experience while remaining non-intrusive is the ultimate challenge. At SipTequila, we are focused on high-end, handcrafted bottles of tequila that are harder to find at your local liquor store, delivered right to the customer’s door.

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Comparing production-grade NLP libraries: Running Spark-NLP and spaCy pipelines

A step-by-step guide to building and running a natural language processing pipeline.In part one of this blog series, we introduced and then trained models for tokenization and part-of-speech tagging using two libraries—John Snow Labs’ NLP for Apache Spark and Explosion AI’s spaCy.

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Verifying and adjusting your data labels to create higher quality training datasets with Amazon SageMaker Ground Truth

Building a highly accurate training dataset for your machine learning (ML) algorithm is an iterative process. It is common to review and continuously adjust your labels until you are satisfied that the labels accurately represent the ground truth, or what is directly observable in the real world.

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Verifying and adjusting your data labels to create higher quality training datasets with Amazon SageMaker Ground Truth | Amazon Web Services

Building a highly accurate training dataset for your machine learning (ML) algorithm is an iterative process. It is common to review and continuously adjust your labels until you are satisfied that the labels accurately represent the ground truth, or what is directly observable in the real world.

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Thoughts about data operations

This is the part 4 of 4 of the “Lessons learnt from building Data Science systems at Barclays” series.
Infrastructure
Get the IT team very close to the data scientists. Ideally one member of the team should be a DevOps, or the new title DataOps. Read this article from InfoWorld: DevOps can take data science to the next level.

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