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Creating a Data-Based and Client-Focused Culture

In the world of social media, increasingly quick-moving communication amid rapidly growing data, a company’s culture defines its reputation, and its reputation often defines its success – or failure. Clarity Insights shares how companies can create a data-based and client-focused culture from the top down.

Go for Big Data

Many of the hottest modern infrastructure projects are powered by the Go programming language, including Kubernetes, Docker, Consul, etcd, and many more. Go is turning into a go to language for devops, web servers, and microservices. One route to providing robust, performant, and scalable data processing within Go is to utilize the Intel® Data Analytics Acceleration Library (Intel® DAAL) within Go programs.

A CEO’s Guide to Managing and Leveraging Enterprise Data Assets

In this contributed article, two veteran big data experts have distilled managing and leveraging enterprise data assets down to a simple 8-item checklist on what executives should ask themselves to gain more advantage from their company’s data. Stephen Rubinow and Jeff Stamen explore why CEOs need to better understand the next evolution of enterprise data discovery and analytics.

Interview: Patrick Moakley, Director of Marketing for HPC & AI at Lenovo

I recently caught up with Patrick Moakley, Director of Marketing for High Performance Computing (HPC) & Artificial Intelligence (AI) at Lenovo, to get his insights about this fast paced industry. Please view the video interview below to hear what Pat has to say.

“Above the Trend Line” – Your Industry Rumor Central for 6/12/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Moving Big Data into the Cloud

While there are multiple architectures targeting big data analytics, we have traditionally focused on maximizing dedicated hardware and large processing power. In the past few years, however, there is a fast growing convergence of big data and cloud, particularly where the data sets are unstructured with simple data models — an area of specific focus for the Apache Hadoop technology.

OpenVX – The Standard for Computer Vision

OpenVX is an API enabling software developers to add hardware accelerated computer vision capabilities to their programs. Coupled with the current upswing in the use of deep learning technologies, computer vision applications with OpenVX are becoming very important. OpenVX is an integral part of Intel Computer Vision SDK. This comprehensive toolkit is for developing and deploying vision-oriented solutions on platforms from Intel, including autonomous vehicles, digital surveillance cameras, robotics, and mixed-reality headsets.

“Above the Trend Line” – Your Industry Rumor Central for 6/5/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Enterprise Applications of the R Language (EARL) Conference – San Francisco

It’s the home of big name companies like Google, Salesforce, Twitter, Uber, Airbnb and Yelp. San Francisco is the perfect place to celebrate and share the power of R. The Enterprise Applications of the R Language (EARL) Conference is happening in San Francisco on June 5-7, 2017.

Interview: Matt Winkler, Group Program Manager for Machine Learning at Microsoft

In this podcast interview, we caught up with Matt Winkler, Group Program Manager for Machine Learning at Microsoft, to get his take on the upward trajectory of data science, machine learning and the cloud – specifically Azure. Matt leads a team crafting tools and services to enable data scientists and developers to do more with their data. Originally from St. Louis, Matt has been at Microsoft for 11 years working on developer tools and cloud services such as the .NET Framework, Visual Studio, Azure Websites, Data Lake and HDInsight.