Content related to ‘data centers’
This offering employs ISO-Base Seismic Isolation Platform Technology to future-proof data centers from seismic disruptions.
Credit: JLL The shortage of real estate and workplace-focused data scientists is becoming a major concern for corporate real estate (CRE) departments, according to JLL research. CRE departments are not only competing with each other, they are facing competition with the tech industry and start-ups, competitors, service providers and even other departments within their own companies. In the last five years, CRE leaders have become fierce competitors in the battle for technology talent. C-suite leaders now recognize that data and analytics are pivotal for creating strategic workplaces. And they are demanding data, metrics and predictive scenarios from corporate real estate experts that inform financial, operational, recruiting and employee satisfaction goals. “To exceed C-suite expectations, CRE teams must become more adept at using data and analytics to fully capture, understand and interpret the information within their own real estate portfolios,” says John Forrest, JLL’s CEO of Corporate Solutions, Americas. “New analytics platforms provide the infrastructure but it’s also essential to hire the right people who can interpret the data and bring meaningful insights to business leaders.” CRE Departments Feeling The Crunch “Even the best data in the world still needs to be brought to life, interpreted by trained, capable professionals,” said Richard Brown, Head of Business Intelligence at JLL. “Robust data with strong governance is the beginning. Powerful visualizations and analytics bring the pieces of the puzzle together.” According to a new JLL report based on a Forrester Consulting study, corporate real estate teams recognize that they are severely under-staffed. This remains true regardless of industry or company size. Only 28 percent of CRE executives describe their company’s use of data analytics as “data-centric,” but a sizable 56 percent expect their companies to become data-centric in the next three years. “The corporate real estate industry has a lot of hiring to do,” said Forrest. “Some CRE teams are creating in-house departments with people offering data and analytics skills to perform the data scientist function. Others look outward, and expect their outsourced real estate service providers to deliver both expertise and technology.” To meet this growing need, JLL recently introduced its leading real estate data and analytics platform RED. The new platform brings together master data governance, knowledge management, business intelligence and advanced analytics, underpinned by cutting-edge technologies and tools. The platform was designed to dramatically improve data-driven decision making and give clients the power to turn real-time real estate and workplace data into timely and meaningful business insights. Related articles across the web Other posts by Real Street Tech NOTE:This is a summary of… …Read More…
The Georgia Institute of Technology and University of North Carolina’s Renaissance Computing Institute (RENCI) will co-direct a new Big Data Regional Innovation Hub serving 16 southern states and the District of Columbia. The South Big Data Regional Innovation Hub (South BD Hub) — jointly housed at Georgia Tech and UNC-Chapel Hill — is part of the National Science Foundation‘s (NSF) Big Data Regional Innovation Hubs. The initiative will address regional challenges through data analysis. Srinivas Aluru, co-principal investigator at Georgia Tech and professor in the School of Computational Science and Engineering. (Credit: Georgia Institute of Technology) “The award of the South BD Hub to Georgia Tech and UNC-Chapel Hill provides the right context for collaboration among 75 stakeholders in academia, industry and the nonprofit sectors, which will allow us to address large-scale challenges facing many southern states,” said Srinivas Aluru, co-principal investigator at Georgia Tech and professor in the School of Computational Science and Engineering. “Data science touches all aspects of the human experience, and the Hub will enable us to bring data together in a complementary way for better problem solving in our communities. It already is initiating new collaboration and dialogue among many large stakeholders in a way that would not have happened otherwise.” Projects will include: Health Care: disparities, care and outcomes; precision medicine; genomics. Coastal Hazards: understanding and mitigating natural and manmade disasters. Industrial Big Data: cyberphysical systems; Internet of Things; data-driven management of infrastructure such as utilities. Materials and Manufacturing: bridging the gap between materials science and manufacturing practice. Habitat Planning: smart cities, transportation, rural-urban infrastructure and wildlife habitats. “The important problems of our time — from solving disparities in health care to understanding the risks of coastal storms and floods — involve making sense of massive amounts of data,” said Ashok Krishnamurthy, deputy director at RENCI and co-principal investigator on the South BD Hub. “The chance to lead this project with Georgia Tech means we will be at the forefront of using data for the public good.” The South BD Hub will serve Alabama, Arkansas, Delaware, the District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia and West Virginia. Initial funding for the South BD Hub is $1.25 million over three years. To serve the rest of the U.S, three additional regional hubs for data science innovation have been created at Columbia University (Northeast Hub), the University of Illinois at Urbana-Champaign (Midwest Hub) and the University of California, San Diego; the University of California, Berkeley; and the University… …Read More…
Consider these simple strategies to increase the efficiency and extend the life of data centers.
The decision may rest on factors such as available capital, timeline, and degree of desired control.
Despite increased investment in cloud and colocation providers, 87% of data center operators surveyed from North America and Europe are maintaining or increasing their data center facility spending,
Power Usage Effectiveness (PUE) is a metric for tracking systems efficiency. But, there’s more to measure in the data center.
Enterprises are increasingly focused on incorporating green data centers into their IT infrastructure paradigm.
Even a well designed upper tier rated data center requires a spot on preventive maintenance (PM) program to maintain its rating. Yet, the PM part of the equation is often omitted.
New resource helps facilities, IT, and telecom leaders explore new data center deployment approaches.