insideAI News Guide to Computer Aided Engineering

[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideAI News Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.

3 Ways AI Can Boost Conversational Intelligence Across Your Enterprise

[SPONSORED POST] Artificial Intelligence can both help and scale human effort in building the conversational intelligence across the enterprise that drives successful business outcomes. In this eBook from Veritone, we will explore three common use cases of AI applied to customer conversations: contact center insights, social media insights, and conversational compliance.

With More Data Comes Great Responsibility and a Need for Education

In this sponsored post, Dr Kendra Vant, Executive General Manager of data at global small business accounting platform Xero, discusses what responsible data use looks like in practice for tech companies and professionals. From strengthening insights into how a business operates and keeping businesses better equipped and informed, through to saving time with automation and even deepening a business’ understanding of its customers – the potential of data to make life easier for businesses and their customers is awe inspiring.

Webinar: How to Achieve Faster Time to Insight with Third-party Financial Services Data

[SPONSORED POST] Join this webinar to learn how companies consume financial exchange data natively through AWS Data Exchange to make consumption and analysis more efficient, agile, and accessible. Hear from FactSet leadership about the company’s strategic choice to bring their data to the cloud ensuring customers can effectively and efficiently use their data to succeed.

An Enterprise AI Platform as a Path Toward Intelligence Process Automation

In this article we take a look new technology that can overcome common problems that contribute to struggles with AI projects. Project delays, budget limitations, scarcity of needed skills, changing data sources, decay of a model’s predictive power (model drift), and scalability issues are just some of the aspects that make for potentially high-risk AI projects.

Webinar: How to Build Customer-oriented Applications Using Third-party Data

[SPONSORED POST] Join this webinar to learn how using third-party data enhances applications to better prioritize your target customer. Thought leaders from Foursquare and NextDoor will present real-world examples on leveraging datasets to create a customer-centric strategy and improve business outcomes.

Building the GPU-accelerated Datacenter

[Sponsored Post] To learn about GPU-accelerated datacenters, join the upcoming live webinar from Thinkmate and PNY. You’ll hear about the future of the datacenter, why the GPU is crucial, the technology behind GPU acceleration, and what sort of options exist for different industries or types of organizations.

Low Code Data Science is Not the Same as Automated Machine Learning

[SPONSORED POST] In this special guest feature, Rosaria Silipo, Ph.D., Principal Data Scientist at KNIME, discusses the difference between automated Machine Learning and low code tools for data science. Low code tools are becoming more and more popular. They allow to perform certain tasks without the need of coding. They are based on visual programming, that is on a drag & drop interface to build a pipeline of blocks, each block implementing a dedicated task.

DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain

The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the data supply chain represents the technological steps and human-involved processes supporting the flow of data through the organization, from its source, through transformation and integration, all the way to the point of consumption or analysis.

Oracle to PostgreSQL? 6 Reasons to Make Your Open Source Migration

[SPONSORED CONTENT] In this sponsored post, Kirk Roybal, PostgreSQL Database Reliability Engineer at Instaclustr, outlines how Postgres offers some especially enticing advantages for enterprises looking to trim (if not downright slash) costs without impacting database performance. Here’s a half-dozen reasons enterprises should consider the fully open source version of Postgres as a more-than-capable Oracle replacement.