Thu.Aug 27, 2015

article thumbnail

Fed Tech Roundup August 27

CTOvision

The following are some of the hot topics in the federal technology ecosystem (from FedTechTicker.com and TopTechTicker.com ): Fed Tech Ticker. Army tries to speed cyber acquisition process - FCW.com. State Dept. IG chides diplomats for using private email. Iowa testing digital driver's licenses - GCN.com. Rebuild Healthy Homes from HUD. HUD’s Switchboard Puts Customer Experience and Customer Service Together.

Symantec 208
article thumbnail

How to Build Your Own Hybrid Cloud

Data Center Knowledge

When done right, a hybrid cloud becomes an extremely powerful extension of your existing infrastructure Read More.

Cloud 204
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

4th Annual SAP NS2 Solutions Summit

CTOvision

SAP's annual Solutions Summit is an opportunity to engage and lead the dialogue that is grounded in perspectives from national security leaders such as yourself, on critical issues facing the U.S. national security community. The theme this year is “ Human Critical: Empowering the People that Drive U.S. National Security ,” and the objective is to honor the men and women who power the U.S. national security mission are essential to its success.

SAP 201
article thumbnail

The Challenges of IT Maintenance

Data Center Knowledge

The employment of an Independent Service Organization (ISO) allows organizations to operate their data centers with equipment from any number of different vendors. Read More.

article thumbnail

Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

article thumbnail

Are You a System Thinking Master

Future of CIO

Systems Thinking is a holistic, balanced and often an abstract thinking to understand things profoundly. People are all a bundle of assumptions, a collection of cause-and-effect, and a limited ability to put all this together to create the sense of reality. We use our sense of reality to try to understand our world and solve the problems it presents us with, making decisions as to how to interact with our environment.

System 40
article thumbnail

Managed Private Cloud on the Rise as Data Center Outsourcing Service

Data Center Knowledge

IT infrastructure as utility is here, and it’s eating traditional outsourcing services’ lunch Read More.

More Trending

article thumbnail

Time to Test Your Data Center IQ

Data Center Knowledge

See how much data center knowledge you actually have at Data Center World Fall Read More.

article thumbnail

Collaborating in a shared service management environment

CTOvision

The processes for IT, facilities and human resources (HR) are broadly similar and do overlap, such as with commencement and exit procedures, and can easily be brought together in a single tool to manage. However, even when doing so and when supporting departments have their own tools and processes, it is not always clear to end users where they should turn for support.

Tools 207
article thumbnail

ZeroStack Comes Out of Stealth to Help Enterprises Take Control, Simplify Private Cloud

Data Center Knowledge

Ex-VMware engineer uses years of enterprise cloud experience to startup Read More.

article thumbnail

Executive Exodus Continues at VMware with Hollis Departure

Data Center Knowledge

Chuck Hollis becomes the fourth executive to leave VMware in a month. Read More.

Vmware 162
article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.