A lot has already been said about the modern data stack (MDS) but the situation is significantly more scattered on the machine learning side of the fence: once data is properly transformed, how is it consumed downstream to produce business value? This post is intended for anybody wanting to bridge the gap between working with data and actually delivering business value using machine learning. The modern data stack (MDS) has been consolidated as a series of best practices around data collection, storage and transformation. A lot has been said already about the MDS as such, but the situation is more "scattered" on the other side of the fence: once data is properly transformed, how is that consumed downstream to produce business value? At the end of the day, ingesting and transforming data is not (for most companies) an end in itself: while tech giants figured out a while ago how to "get models in production", most companies still struggle to productionize a model in less than 3 months.

As a Machine Learning Developer in the NLP team at Coveo you will get fully immersed in our Support Case Assist and Question-Answering projects. You will play a key role in the design and implementation of NLP-based systems and applications. You will also be involved in the efforts to build and improve tools to support ML Scientists, such as experimentation and training frameworks for Deep Learning NLP Tasks. Seize the opportunity to have an impact on the core AI technologies and the value they bring to our customers through the Coveo Relevance Cloud Platform! Do you think you can bring this role to life?

Search is one of the oldest technologies around. Ever since the dawn of the World Wide Web, a search engine has been the portal through which we obtain information. The search for a better search engine index kick started the Hadoop craze, and it continues to drive Google to push the limits of technology. But don't for a second think that search has been solved. "Search is far from being solved. It's the hardest thing we do. It's the hardest thing everybody does."

Coveo is no stranger to our parent company TMC – we gave them a CRM Excellence Award as well as one for the Product of the Year. The company uses AI and intelligent search technologies to personalize millions of digital experiences for customers, partners, dealers, and employees. Coveo combines unified content, unified interactions and machine learning to deliver relevant information and recommendations across every business interaction. Websites, commerce, contact centers, intranets and digital properties and apps become effortless, content-rich and effective. Coveo is also embedded in many leading business applications from vendors including Salesforce, ServiceNow, Sitecore, Dynamics and more.

SAN FRANCISCO, CA and QUEBEC, QC--(Marketwired - April 18, 2017) - Coveo, a recognized leader in AI-powered search and predictive analytics, and recently positioned as the highest for execution and furthest for innovation leader in the leaders quadrant of Gartner's Magic Quadrant for Insight Engines, has just announced the general availability of Coveo for Salesforce Free Edition. Coveo for Salesforce Free Edition now allows every brand using Salesforce to leverage Coveo's Machine Learning features and transform their self-service experiences to deliver more relevant content, at scale, whether for customers, partners or employees. Companies unintentionally make it difficult for people to find relevant content, let alone receiving relevant insights and personalized recommendations. It is even harder for community administrators and managers to gain valuable insights, and learn from usage and behavioral data, such as what customers are searching for, what drives better outcomes or what content gaps exist in their self-service pages. "Search and relevance are at the very core of user engagement, personalization and self-service success," said Laurent Simoneau, President and CTO of Coveo.