IT Management

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  • Talent Woes: Sometimes Your Best Defense Is A Really Good Offense

    In the context of the Great Resignation, organizations face urgent knowledge loss as key employees leave. Agile knowledge management practices are essential to quickly capture vital information before departures. Techniques like storytelling interviews and knowledge audits can preserve critical insights, allowing for better long-term strategies and innovation in knowledge management.

  • How Data Analytics Can Help Advance diversity, equity, and inclusion (DEI)

    Carolynn Johnson, CEO of DiversityInc, a data and media firm that promotes the business benefits of diversity, said Hershey is proof that companies can build more fair, equitable, and inclusive environments for their employees.

    The conversation focused on how data analytics can help companies drive change in their diversity, equity, and inclusion (DEI) policies.

  • Navigating Change: Ways for IT Leaders to Rise Above the Fear

    Some changes are forced upon you, with little or no warning, such as an illness, a pandemic, or an economic crisis. Or it could be a change that you initiate; for example, switching your career, taking on a new mandate, or forging your business into an emerging market. Regardless of the situation, your ability to tackle change head-on, to overcome and even thrive and succeed under the new circumstances, requires more than just resilience. Managing change requires a deep understanding of your abilities, who you are, the truth of your current reality, and where you want to go.

  • To Boldly Go

    Equally intriguing was the development of the company’s own management philosophy, RenDanHeYi, a potent combination of employees, customers and value creation; a uniquely Chinese take on the practice of management in a modern global corporation.

  • Was Your Information Swimming Naked During The Pandemic?

    Similarly, 92% agreed that “Due to drastic changes in customer behavior or other factors during the pandemic, reliable real-time data became even more important for business decisions.”

    95% of respondents, for example, agreed that “Making decisions based on accurate, timely analytics and insights has become as important as having accurate transactional data in my organization.”

  • Nvidia, Others Hammer Out Tomorrow’s Cloud-Native Supercomputers

    Chipmaker Nvidia, for example, is developing data processing units (DPUs) to tackle infrastructure chores for cloud-based supercomputers, which handle some of the most complicated workloads and simulations for medical breakthroughs and understanding the planet.

    Jon van Doore, CTO for Climavision, says modeling the data his company works with was traditionally done on Cray supercomputers in the past, usually at datacenters

  • Data Lake Best Practices: Prevent Your Data Lake from Turning into a Data Swamp

    When appropriately crafted, data lakes can be a centralized source of truth, offering team members valuable flexibility to examine information that impacts business decisions.

    A well-maintained data lake has the real potential to transform your business by offering a singular source for your company’s data—in whatever form it may be—that enables your business analysts and data science team to mine information in a scalable, sustainable way.

  • The Future Of Healthcare

    Since the start of the pandemic, the transformation and digitization of healthcare organizations (HCOs) accelerated at unprecedented rates to usher in consumer centrism, increased accessibility, and enhancements in continuous care.

  • Is The Cloud Slower For Analytical Insights?

    Reliable real-time data and analytics for decision-making became more critical. But many IT organizations couldn’t deliver; survey respondents said that the information and insights needed by the business often weren’t available.

    There were high levels (95%) of agreement with the very rational statement that, “My organization makes decisions on where/how to process data for analytics and AI based upon the best platform attributes (latency, security, resiliency, and performance/ cost).

  • Data Fabrics: Six Top Use Cases

    In a nutshell, data fabric technology is the glue that binds all an organization’s data systems together into a cohesive and uniform layer, says Sean Knapp, founder and CEO of Ascend.io, which offers an autonomous dataflow service.

    A data fabric gives organizations the ability to maintain complex and disparate data systems while giving business users fast, self-service access to the data they need — no matter where it sits or how it’s previously been siloed,” he explains.