Lessons from the field on managing data science projects and portfolios
The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment.
Data science managers have the most important and least understood job of the 21st century.
This paper demystifies and elevates the current state of data science management. It identifies best practices to address common struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact.
There are seven chapters and 25 pages of insights based on 4+ years of working with leaders in data science such as Allstate, Bayer, and Moody’s Analytics:
Introduction: Where we are today and where we came from
Goals: What are the measures of a high-performing data science organization?
Challenges: The symptoms leading to the dark art myth of data science
Diagnosis: The true root-causes behind the dark art m
Published By: Xangati
Published Date: Feb 04, 2016
MBSI was providing approximately 800 virtual desktops to their employees using VMware Horizon with View and 8 VMware ESXi hosts and they were running an additional 140 virtual servers using 5 VMware ESXi hosts – all on a Tegile Hybrid SAN.
“It was shortly after we converted from ICD-9 diagnosis codes to ICD-10 codes that performance for the VDI desktops began to suffer noticeably,” explained Shawn Wood, Assistant Manager of Systems Administration, MBSI. “We have relied on Xangati for a number of years now to help us quickly see where bottlenecks are in a short period of time. It's an important part of maintaining the integrity of our infrastructure.”
Read more to learn how Xangati helped MBSI address this problem.
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including:
Transport Network Equipment
Outside Fiber Plant
Reliability, Redundancy, and Protection
Services, Operation, Program Management, and Maintenance
Download our white paper to learn more."
Published By: Arcserve
Published Date: Jul 26, 2010
Using the CA Wily Application Performance Management (APM) solution consisting of CA Wily Introscope® and CA Wily Customer Experience Manager™, JN Data better manages Web applications through faster diagnosis of problem root causes in its customers' heterogeneous environments.
Detecting and preventing errors that threaten patient safety is a closed-loop process that begins at the point of care, extends to independent laboratories, and then back to the caregiver. Sample identification and results reporting errors can lead to misdiagnosis and inappropriate treatment with deadly consequences. A 2006 Wall Street Journal article reported that while malpractice claims for pathology errors are relatively low, they are the second most costly. In addition to creating a serious risk to patient safety, sample misidentification creates significant financial implications. Redraws, retesting and additional treatment that result from sample errors cost the healthcare industry an estimated
$200 million to $400 million per year.
Detecting and preventing errors that threaten patient safety is a closed-loop process that begins at the point of care, extends to independent laboratories, and then back to the caregiver. Download to learn more!
Maximizing patient safety and improving the quality of care is the ultimate goal for healthcare providers. Doing so requires staying within regulatory compliance, while also advancing staff retention and meeting fiscal constraints. Barcode technologies provide a “virtual voice” to patients, applications and workflows. Barcoding accomplishes this by laying a solid foundation for enhancing patient identification, providing visibility into medical practices, and driving efficiencies throughout healthcare applications, and is an integral part of electronic medical record (EMR) adoption. Download to learn more!
With Internet Outage Detection, you can rapidly detect both network and routing outages and understand their severity, breadth and likely root cause. As a result, you’ll improve diagnosis and decision-making during mitigation and ultimately reduce MTTR. Download to data sheet now to learn more!
Dell has teamed with Intel to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge Intel® processors and the systems and storage expertise from Dell create a state-of-the-art solution that is easy to install, manage and expand as required. Download to learn more.
Small-to-medium size businesses (SMB's) have limited IT staff and budgets, yet they still require a monitoring solution for cost-effective equipment diagnosis to maintain a healthy network. Use the following checklist to evaluate software vendors.
In this report, you will discover:
- Why spreadsheets are working against you and de-motivating your team
- A spreadsheet “health diagnosis” checklist
- How incentive plans can drive behavior with better accuracy and objectivity
If you're looking to decrease power consumption in your existing data center (and who isn't?), the first step should be a detailed diagnosis. If, on the other hand, you’re constructing a new data center, or expanding or upgrading your current center, it’s critical that energy efficiency is built in from the start. This short IBM video addresses both.
Over the past 20 years, Current Signature Analysis (CSA) has become an established tool for online fault analysis of AC Induction motors. Presently, very little research has been performed using current signature analysis on DC motors. This paper is a brief introduction to online fault diagnosis of DC motors using current signature analysis.