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Interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft

In this podcast interview, I caught up with Jennifer Marsman, Principal Software Development Engineer at Microsoft, to find out what it’s like to be a data scientist at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Big Data Use Case – Ticketmaster: Cloud Migration Experiences

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

GPU Technology Conference 2017 in Silicon Valley, May 8-11

GTC is the largest and most important event of the year for GPU developers. GTC and the global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars. The event is hosted by GPU giant NVIDIA,

Interview: Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft

In this podcast interview, I caught up with Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft in the Algorithms and Data Science Group within the Cloud and Enterprise Division, to find out about her experience at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Big Data Use Case – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

“Above the Trend Line” – Your Industry Rumor Central for 5/1/2017

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.

From Data Lake Curator to Data Lake Master: Best Practices for Making the Most of Your Data Lake

I recently caught up with Jennifer Cheplick, Sr. Director of Product Marketing at Syncsort, to discuss how the concept of a data lake is now commonplace, as businesses realize the value of having a single repository to house all enterprise data in its original, unaltered format. While this is a vital step in mastering a single view of all data assets, left unchecked, it can turn into a data swamp.

“Above the Trend Line” – Your Industry Rumor Central for 4/24/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items 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.

“Above the Trend Line” – Your Industry Rumor Central for 4/17/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items 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.

Dataguise Strengthens Sensitive Data Governance in the Cloud with Support for Google Cloud Storage

Dataguise, a leader in sensitive data governance, announced that DgSecure Detect now supports sensitive data detection on Google Cloud Storage (GCS). Integration with GCS extends the range of platforms supported by DgSecure Detect, which helps data-driven enterprises move to the cloud with confidence by providing precise sensitive data detection across the enterprise, both on premises and in the cloud.