Therein lies the AI paradox: The more we automate data analytics, the more work is required of humans to cover edge cases, provide high-level scrutiny, and put meaning behind the insights.
Category: IT Management
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.
How Hybrid Multi-Cloud Can Mitigate Current Supply Chain Woes
Enabling applications, including the most business-critical ones, to run in public cloud when they were not built to do so requires a costly and time-consuming refactoring process.
Hybrid multi-cloud, or an IT environment providing unified infrastructure operations and management across private and public clouds, is perfectly poised to help bridge the gap businesses face due to supply chain issues.
Analyst Insights on the key issues facing the IoT Industrial Sector in Q1 2022
Robin Duke Woolley, Analyst and CEO of Beecham Research, gives his latest insights drawn from the Industrial sector on the key issues facing the market for the coming short to midterm periods and how they are and could potentially be addressed.
Top 4 Challenges in IoT Product Development That No One Talks About
It’s important to understand that IoT apps are backed up by hardware and software that allows large volumes of data to transfer via several connected devices. T
Gartner, McKinsey, IDC, ZDNet & EY – Everyone – Wants To Give CIOs Advice. It’s Old, The Same & Not That Good.
Everyone likes to give New Year’s advice to CIOs. But why does it all sound the same, so academic and so old? Are Gartner, McKinsey, IDC, ZDNet, & EY academics, practitioners, mimics or lost time travelers? And why are they missing the point entirely? CIOs should tend to the fields, not the skies – unless they’re extraordinarily bored, talented or about to get fired, which makes them ready for retirement or another assignment altogether.
Falling Flat: Why Startups Need Hierarchical Structure
In his study titled “The Myth of the Flat Startup: Reconsidering the Organizational Structure of Startups,” Lee pushes back against the popular view that firms, especially new ventures, work best without managers stifling creativity and getting in the way of progress.
The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers
There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on.
The Journey From Product Management To Portfolio Management
Managing a portfolio of products is more than managing the sum of its parts. For most of us as product managers, as we gain experience and responsibility, we do start owning a portfolio of products. This is a step in one’s career that often comes without training.